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49 results on '"SCHOLZ, MARKUS"'

1. Genetic risk factors underlying white matter hyperintensities and cortical atrophy.

Author

Patel Y, Shin J, Sliz E, Tang A, Mishra A, Xia R, Hofer E, Rajula HSR, Wang R, Beyer F, Horn K, Riedl M, Yu J, Völzke H, Bülow R, Völker U, Frenzel S, Wittfeld K, Van der Auwera S, Mosley TH, Bouteloup V, Lambert JC, Chêne G, Dufouil C, Tzourio C, Mangin JF, Gottesman RF, Fornage M, Schmidt R, Yang Q, Witte V, Scholz M, Loeffler M, Roshchupkin GV, Ikram MA, Grabe HJ, Seshadri S, Debette S, Paus T, and Pausova Z

Subjects
Humans, Male, Female, Aged, Risk Factors, Middle Aged, Genetic Predisposition to Disease, Dementia genetics, Dementia pathology, Magnetic Resonance Imaging, Cohort Studies, Polymorphism, Single Nucleotide, Aged, 80 and over, White Matter pathology, White Matter diagnostic imaging, Atrophy genetics, Cerebral Cortex pathology, Cerebral Cortex diagnostic imaging, Genome-Wide Association Study
Abstract

White matter hyperintensities index structural abnormalities in the cerebral white matter, including axonal damage. The latter may promote atrophy of the cerebral cortex, a key feature of dementia. Here, we report a study of 51,065 individuals from 10 cohorts demonstrating that higher white matter hyperintensity volume associates with lower cortical thickness. The meta-GWAS of white matter hyperintensities-associated cortical 'atrophy' identifies 20 genome-wide significant loci, and enrichment in genes specific to vascular cell types, astrocytes, and oligodendrocytes. White matter hyperintensities-associated cortical 'atrophy' showed positive genetic correlations with vascular-risk traits and plasma biomarkers of neurodegeneration, and negative genetic correlations with cognitive functioning. 15 of the 20 loci regulated the expression of 54 genes in the cerebral cortex that, together with their co-expressed genes, were enriched in biological processes of axonal cytoskeleton and intracellular transport. The white matter hyperintensities-cortical thickness associations were most pronounced in cortical regions with higher expression of genes specific to excitatory neurons with long-range axons traversing through the white matter. The meta-GWAS-based polygenic risk score predicts vascular and all-cause dementia in an independent sample of 500,348 individuals. Thus, the genetics of white matter hyperintensities-related cortical atrophy involves vascular and neuronal processes and increases dementia risk., (© 2024. The Author(s).)

Published
2024
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2. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries.

Author

García-Marín LM, Campos AI, Diaz-Torres S, Rabinowitz JA, Ceja Z, Mitchell BL, Grasby KL, Thorp JG, Agartz I, Alhusaini S, Ames D, Amouyel P, Andreassen OA, Arfanakis K, Arias-Vasquez A, Armstrong NJ, Athanasiu L, Bastin ME, Beiser AS, Bennett DA, Bis JC, Boks MPM, Boomsma DI, Brodaty H, Brouwer RM, Buitelaar JK, Burkhardt R, Cahn W, Calhoun VD, Carmichael OT, Chakravarty M, Chen Q, Ching CRK, Cichon S, Crespo-Facorro B, Crivello F, Dale AM, Smith GD, de Geus EJC, De Jager PL, de Zubicaray GI, Debette S, DeCarli C, Depondt C, Desrivières S, Djurovic S, Ehrlich S, Erk S, Espeseth T, Fernández G, Filippi I, Fisher SE, Fleischman DA, Fletcher E, Fornage M, Forstner AJ, Francks C, Franke B, Ge T, Goldman AL, Grabe HJ, Green RC, Grimm O, Groenewold NA, Gruber O, Gudnason V, Håberg AK, Haukvik UK, Heinz A, Hibar DP, Hilal S, Himali JJ, Ho BC, Hoehn DF, Hoekstra PJ, Hofer E, Hoffmann W, Holmes AJ, Homuth G, Hosten N, Ikram MK, Ipser JC, Jack CR Jr, Jahanshad N, Jönsson EG, Kahn RS, Kanai R, Klein M, Knol MJ, Launer LJ, Lawrie SM, Hellard SL, Lee PH, Lemaître H, Li S, Liewald DCM, Lin H, Longstreth WT Jr, Lopez OL, Luciano M, Maillard P, Marquand AF, Martin NG, Martinot JL, Mather KA, Mattay VS, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mirza-Schreiber N, Milaneschi Y, Mosley TH, Mühleisen TW, Müller-Myhsok B, Maniega SM, Nauck M, Nho K, Niessen WJ, Nöthen MM, Nyquist PA, Oosterlaan J, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Psaty BM, Pütz B, Reppermund S, Rietschel MD, Risacher SL, Romanczuk-Seiferth N, Romero-Garcia R, Roshchupkin GV, Rotter JI, Sachdev PS, Sämann PG, Saremi A, Sargurupremraj M, Saykin AJ, Schmaal L, Schmidt H, Schmidt R, Schofield PR, Scholz M, Schumann G, Schwarz E, Shen L, Shin J, Sisodiya SM, Smith AV, Smoller JW, Soininen HS, Steen VM, Stein DJ, Stein JL, Thomopoulos SI, Toga AW, Tordesillas-Gutiérrez D, Trollor JN, Valdes-Hernandez MC, van T Ent D, van Bokhoven H, van der Meer D, van der Wee NJA, Vázquez-Bourgon J, Veltman DJ, Vernooij MW, Villringer A, Vinke LN, Völzke H, Walter H, Wardlaw JM, Weinberger DR, Weiner MW, Wen W, Westlye LT, Westman E, White T, Witte AV, Wolf C, Yang J, Zwiers MP, Ikram MA, Seshadri S, Thompson PM, Satizabal CL, Medland SE, and Rentería ME

Subjects
Humans, Female, Male, Organ Size genetics, Attention Deficit Disorder with Hyperactivity genetics, Attention Deficit Disorder with Hyperactivity pathology, Parkinson Disease genetics, Parkinson Disease pathology, Polymorphism, Single Nucleotide, Genomics methods, Adult, Genetic Predisposition to Disease, Middle Aged, White People genetics, Genome-Wide Association Study, Multifactorial Inheritance genetics, Brain pathology
Abstract

Subcortical brain structures are involved in developmental, psychiatric and neurological disorders. Here we performed genome-wide association studies meta-analyses of intracranial and nine subcortical brain volumes (brainstem, caudate nucleus, putamen, hippocampus, globus pallidus, thalamus, nucleus accumbens, amygdala and the ventral diencephalon) in 74,898 participants of European ancestry. We identified 254 independent loci associated with these brain volumes, explaining up to 35% of phenotypic variance. We observed gene expression in specific neural cell types across differentiation time points, including genes involved in intracellular signaling and brain aging-related processes. Polygenic scores for brain volumes showed predictive ability when applied to individuals of diverse ancestries. We observed causal genetic effects of brain volumes with Parkinson's disease and attention-deficit/hyperactivity disorder. Findings implicate specific gene expression patterns in brain development and genetic variants in comorbid neuropsychiatric disorders, which could point to a brain substrate and region of action for risk genes implicated in brain diseases., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Published
2024
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3. Genetic variants for head size share genes and pathways with cancer.

Author

Knol MJ, Poot RA, Evans TE, Satizabal CL, Mishra A, Sargurupremraj M, van der Auwera S, Duperron MG, Jian X, Hostettler IC, van Dam-Nolen DHK, Lamballais S, Pawlak MA, Lewis CE, Carrion-Castillo A, van Erp TGM, Reinbold CS, Shin J, Scholz M, Håberg AK, Kämpe A, Li GHY, Avinun R, Atkins JR, Hsu FC, Amod AR, Lam M, Tsuchida A, Teunissen MWA, Aygün N, Patel Y, Liang D, Beiser AS, Beyer F, Bis JC, Bos D, Bryan RN, Bülow R, Caspers S, Catheline G, Cecil CAM, Dalvie S, Dartigues JF, DeCarli C, Enlund-Cerullo M, Ford JM, Franke B, Freedman BI, Friedrich N, Green MJ, Haworth S, Helmer C, Hoffmann P, Homuth G, Ikram MK, Jack CR Jr, Jahanshad N, Jockwitz C, Kamatani Y, Knodt AR, Li S, Lim K, Longstreth WT, Macciardi F, Mäkitie O, Mazoyer B, Medland SE, Miyamoto S, Moebus S, Mosley TH, Muetzel R, Mühleisen TW, Nagata M, Nakahara S, Palmer ND, Pausova Z, Preda A, Quidé Y, Reay WR, Roshchupkin GV, Schmidt R, Schreiner PJ, Setoh K, Shapland CY, Sidney S, St Pourcain B, Stein JL, Tabara Y, Teumer A, Uhlmann A, van der Lugt A, Vernooij MW, Werring DJ, Windham BG, Witte AV, Wittfeld K, Yang Q, Yoshida K, Brunner HG, Le Grand Q, Sim K, Stein DJ, Bowden DW, Cairns MJ, Hariri AR, Cheung CL, Andersson S, Villringer A, Paus T, Cichon S, Calhoun VD, Crivello F, Launer LJ, White T, Koudstaal PJ, Houlden H, Fornage M, Matsuda F, Grabe HJ, Ikram MA, Debette S, Thompson PM, Seshadri S, and Adams HHH

Subjects
Humans, Female, Male, Polymorphism, Single Nucleotide genetics, Genetic Variation, Organ Size genetics, Signal Transduction genetics, Adult, Genetic Predisposition to Disease, Genome-Wide Association Study, Head anatomy & histology, Neoplasms genetics, Neoplasms pathology
Abstract

The size of the human head is highly heritable, but genetic drivers of its variation within the general population remain unmapped. We perform a genome-wide association study on head size (N = 80,890) and identify 67 genetic loci, of which 50 are novel. Neuroimaging studies show that 17 variants affect specific brain areas, but most have widespread effects. Gene set enrichment is observed for various cancers and the p53, Wnt, and ErbB signaling pathways. Genes harboring lead variants are enriched for macrocephaly syndrome genes (37-fold) and high-fidelity cancer genes (9-fold), which is not seen for human height variants. Head size variants are also near genes preferentially expressed in intermediate progenitor cells, neural cells linked to evolutionary brain expansion. Our results indicate that genes regulating early brain and cranial growth incline to neoplasia later in life, irrespective of height. This warrants investigation of clinical implications of the link between head size and cancer., Competing Interests: Declaration of interests H.H. and I.C.H. received funding from Alzheimer’s Research UK and the Dunhill Medical Trust Foundation. M.A.P. reported receiving grants and personal and travel fees from Roche, Novartis, Merck, and Biogen outside the submitted work. M. Scholz receives funding from Pfizer Inc. for a project not related to this research. C.D. serves as a consultant of Novartis Pharmaceuticals. B.F. has received educational speaking fees from Medice. N.J. and P.M.T. are MPIs of a research grant from Biogen Inc. for work unrelated to the contents of this manuscript. D.J.W. received funding from the Stroke Foundation/British Heart Foundation. D.J.S. has received consultancy honoraria from Discovery Vitality, Johnson & Johnson, Kanna, L’Oreal, Lundbeck, Orion, Sanofi, Servier, Takeda, and Vistagen. H.H. received funding from MRC, Wellcome Trust, and NIHR UCLH BRC. H.J.G. has received travel grants and speaker’s honoraria from Fresenius Medical Care, Neuraxpharm, and Janssen Cilag as well as research funding from Fresenius Medical Care., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Published
2024
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4. Phenome- and genome-wide analyses of retinal optical coherence tomography images identify links between ocular and systemic health.

Author

Zekavat SM, Jorshery SD, Rauscher FG, Horn K, Sekimitsu S, Koyama S, Nguyen TT, Costanzo MC, Jang D, Burtt NP, Kühnapfel A, Shweikh Y, Ye Y, Raghu V, Zhao H, Ghassemi M, Elze T, Segrè AV, Wiggs JL, Del Priore L, Scholz M, Wang JC, Natarajan P, and Zebardast N

Subjects
Adult, Humans, Tomography, Optical Coherence, Face, Retina diagnostic imaging, Genome-Wide Association Study, Cardiovascular Diseases
Abstract

The human retina is a multilayered tissue that offers a unique window into systemic health. Optical coherence tomography (OCT) is widely used in eye care and allows the noninvasive, rapid capture of retinal anatomy in exquisite detail. We conducted genotypic and phenotypic analyses of retinal layer thicknesses using macular OCT images from 44,823 UK Biobank participants. We performed OCT layer cross-phenotype association analyses (OCT-XWAS), associating retinal thicknesses with 1866 incident conditions (median 10-year follow-up) and 88 quantitative traits and blood biomarkers. We performed genome-wide association studies (GWASs), identifying inherited genetic markers that influence retinal layer thicknesses and replicated our associations among the LIFE-Adult Study ( N = 6313). Last, we performed a comparative analysis of phenome- and genome-wide associations to identify putative causal links between retinal layer thicknesses and both ocular and systemic conditions. Independent associations with incident mortality were detected for thinner photoreceptor segments (PSs) and, separately, ganglion cell complex layers. Phenotypic associations were detected between thinner retinal layers and ocular, neuropsychiatric, cardiometabolic, and pulmonary conditions. A GWAS of retinal layer thicknesses yielded 259 unique loci. Consistency between epidemiologic and genetic associations suggested links between a thinner retinal nerve fiber layer with glaucoma, thinner PS with age-related macular degeneration, and poor cardiometabolic and pulmonary function with a thinner PS. In conclusion, we identified multiple inherited genetic loci and acquired systemic cardio-metabolic-pulmonary conditions associated with thinner retinal layers and identify retinal layers wherein thinning is predictive of future ocular and systemic conditions.

Published
2024
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5. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements.

Author

Scholz M, Horn K, Pott J, Wuttke M, Kühnapfel A, Nasr MK, Kirsten H, Li Y, Hoppmann A, Gorski M, Ghasemi S, Li M, Tin A, Chai JF, Cocca M, Wang J, Nutile T, Akiyama M, Åsvold BO, Bansal N, Biggs ML, Boutin T, Brenner H, Brumpton B, Burkhardt R, Cai J, Campbell A, Campbell H, Chalmers J, Chasman DI, Chee ML, Chee ML, Chen X, Cheng CY, Cifkova R, Daviglus M, Delgado G, Dittrich K, Edwards TL, Endlich K, Michael Gaziano J, Giri A, Giulianini F, Gordon SD, Gudbjartsson DF, Hallan S, Hamet P, Hartman CA, Hayward C, Heid IM, Hellwege JN, Holleczek B, Holm H, Hutri-Kähönen N, Hveem K, Isermann B, Jonas JB, Joshi PK, Kamatani Y, Kanai M, Kastarinen M, Khor CC, Kiess W, Kleber ME, Körner A, Kovacs P, Krajcoviechova A, Kramer H, Krämer BK, Kuokkanen M, Kähönen M, Lange LA, Lash JP, Lehtimäki T, Li H, Lin BM, Liu J, Loeffler M, Lyytikäinen LP, Magnusson PKE, Martin NG, Matsuda K, Milaneschi Y, Mishra PP, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, März W, Nauck M, Nikus K, Nolte IM, Noordam R, Okada Y, Olafsson I, Oldehinkel AJ, Penninx BWJH, Perola M, Pirastu N, Polasek O, Porteous DJ, Poulain T, Psaty BM, Rabelink TJ, Raffield LM, Raitakari OT, Rasheed H, Reilly DF, Rice KM, Richmond A, Ridker PM, Rotter JI, Rudan I, Sabanayagam C, Salomaa V, Schneiderman N, Schöttker B, Sims M, Snieder H, Stark KJ, Stefansson K, Stocker H, Stumvoll M, Sulem P, Sveinbjornsson G, Svensson PO, Tai ES, Taylor KD, Tayo BO, Teren A, Tham YC, Thiery J, Thio CHL, Thomas LF, Tremblay J, Tönjes A, van der Most PJ, Vitart V, Völker U, Wang YX, Wang C, Wei WB, Whitfield JB, Wild SH, Wilson JF, Winkler TW, Wong TY, Woodward M, Sim X, Chu AY, Feitosa MF, Thorsteinsdottir U, Hung AM, Teumer A, Franceschini N, Parsa A, Köttgen A, Schlosser P, and Pattaro C

Subjects
Humans, Male, Female, Kidney, Chromosomes, Human, X genetics, Response Elements, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Tetraspanins genetics, Androgens genetics, Genome-Wide Association Study
Abstract

X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases. We performed a sex-stratified cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits (n = 908,697), identifying 23 loci genome-wide significantly associated with two of the traits: 7 for uric acid and 16 for estimated glomerular filtration rate (eGFR), including four novel eGFR loci containing the functionally plausible prioritized genes ACSL4, CLDN2, TSPAN6 and the female-specific DRP2. Further, we identified five novel sex-interactions, comprising male-specific effects at FAM9B and AR/EDA2R, and three sex-differential findings with larger genetic effect sizes in males at DCAF12L1 and MST4 and larger effect sizes in females at HPRT1. All prioritized genes in loci showing significant sex-interactions were located next to androgen response elements (ARE). Five ARE genes showed sex-differential expressions. This study contributes new insights into sex-dimorphisms of kidney traits along with new prioritized gene targets for further molecular research., (© 2024. The Author(s).)

Published
2024
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6. Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.

Author

Kanoni S, Graham SE, Wang Y, Surakka I, Ramdas S, Zhu X, Clarke SL, Bhatti KF, Vedantam S, Winkler TW, Locke AE, Marouli E, Zajac GJM, Wu KH, Ntalla I, Hui Q, Klarin D, Hilliard AT, Wang Z, Xue C, Thorleifsson G, Helgadottir A, Gudbjartsson DF, Holm H, Olafsson I, Hwang MY, Han S, Akiyama M, Sakaue S, Terao C, Kanai M, Zhou W, Brumpton BM, Rasheed H, Havulinna AS, Veturi Y, Pacheco JA, Rosenthal EA, Lingren T, Feng Q, Kullo IJ, Narita A, Takayama J, Martin HC, Hunt KA, Trivedi B, Haessler J, Giulianini F, Bradford Y, Miller JE, Campbell A, Lin K, Millwood IY, Rasheed A, Hindy G, Faul JD, Zhao W, Weir DR, Turman C, Huang H, Graff M, Choudhury A, Sengupta D, Mahajan A, Brown MR, Zhang W, Yu K, Schmidt EM, Pandit A, Gustafsson S, Yin X, Luan J, Zhao JH, Matsuda F, Jang HM, Yoon K, Medina-Gomez C, Pitsillides A, Hottenga JJ, Wood AR, Ji Y, Gao Z, Haworth S, Yousri NA, Mitchell RE, Chai JF, Aadahl M, Bjerregaard AA, Yao J, Manichaikul A, Hwu CM, Hung YJ, Warren HR, Ramirez J, Bork-Jensen J, Kårhus LL, Goel A, Sabater-Lleal M, Noordam R, Mauro P, Matteo F, McDaid AF, Marques-Vidal P, Wielscher M, Trompet S, Sattar N, Møllehave LT, Munz M, Zeng L, Huang J, Yang B, Poveda A, Kurbasic A, Lamina C, Forer L, Scholz M, Galesloot TE, Bradfield JP, Ruotsalainen SE, Daw E, Zmuda JM, Mitchell JS, Fuchsberger C, Christensen H, Brody JA, Vazquez-Moreno M, Feitosa MF, Wojczynski MK, Wang Z, Preuss MH, Mangino M, Christofidou P, Verweij N, Benjamins JW, Engmann J, Tsao NL, Verma A, Slieker RC, Lo KS, Zilhao NR, Le P, Kleber ME, Delgado GE, Huo S, Ikeda DD, Iha H, Yang J, Liu J, Demirkan A, Leonard HL, Marten J, Frank M, Schmidt B, Smyth LJ, Cañadas-Garre M, Wang C, Nakatochi M, Wong A, Hutri-Kähönen N, Sim X, Xia R, Huerta-Chagoya A, Fernandez-Lopez JC, Lyssenko V, Nongmaithem SS, Bayyana S, Stringham HM, Irvin MR, Oldmeadow C, Kim HN, Ryu S, Timmers PRHJ, Arbeeva L, Dorajoo R, Lange LA, Prasad G, Lorés-Motta L, Pauper M, Long J, Li X, Theusch E, Takeuchi F, Spracklen CN, Loukola A, Bollepalli S, Warner SC, Wang YX, Wei WB, Nutile T, Ruggiero D, Sung YJ, Chen S, Liu F, Yang J, Kentistou KA, Banas B, Nardone GG, Meidtner K, Bielak LF, Smith JA, Hebbar P, Farmaki AE, Hofer E, Lin M, Concas MP, Vaccargiu S, van der Most PJ, Pitkänen N, Cade BE, van der Laan SW, Chitrala KN, Weiss S, Bentley AR, Doumatey AP, Adeyemo AA, Lee JY, Petersen ERB, Nielsen AA, Choi HS, Nethander M, Freitag-Wolf S, Southam L, Rayner NW, Wang CA, Lin SY, Wang JS, Couture C, Lyytikäinen LP, Nikus K, Cuellar-Partida G, Vestergaard H, Hidalgo B, Giannakopoulou O, Cai Q, Obura MO, van Setten J, Li X, Liang J, Tang H, Terzikhan N, Shin JH, Jackson RD, Reiner AP, Martin LW, Chen Z, Li L, Kawaguchi T, Thiery J, Bis JC, Launer LJ, Li H, Nalls MA, Raitakari OT, Ichihara S, Wild SH, Nelson CP, Campbell H, Jäger S, Nabika T, Al-Mulla F, Niinikoski H, Braund PS, Kolcic I, Kovacs P, Giardoglou T, Katsuya T, de Kleijn D, de Borst GJ, Kim EK, Adams HHH, Ikram MA, Zhu X, Asselbergs FW, Kraaijeveld AO, Beulens JWJ, Shu XO, Rallidis LS, Pedersen O, Hansen T, Mitchell P, Hewitt AW, Kähönen M, Pérusse L, Bouchard C, Tönjes A, Chen YI, Pennell CE, Mori TA, Lieb W, Franke A, Ohlsson C, Mellström D, Cho YS, Lee H, Yuan JM, Koh WP, Rhee SY, Woo JT, Heid IM, Stark KJ, Zimmermann ME, Völzke H, Homuth G, Evans MK, Zonderman AB, Polasek O, Pasterkamp G, Hoefer IE, Redline S, Pahkala K, Oldehinkel AJ, Snieder H, Biino G, Schmidt R, Schmidt H, Bandinelli S, Dedoussis G, Thanaraj TA, Kardia SLR, Peyser PA, Kato N, Schulze MB, Girotto G, Böger CA, Jung B, Joshi PK, Bennett DA, De Jager PL, Lu X, Mamakou V, Brown M, Caulfield MJ, Munroe PB, Guo X, Ciullo M, Jonas JB, Samani NJ, Kaprio J, Pajukanta P, Tusié-Luna T, Aguilar-Salinas CA, Adair LS, Bechayda SA, de Silva HJ, Wickremasinghe AR, Krauss RM, Wu JY, Zheng W, Hollander AI, Bharadwaj D, Correa A, Wilson JG, Lind L, Heng CK, Nelson AE, Golightly YM, Wilson JF, Penninx B, Kim HL, Attia J, Scott RJ, Rao DC, Arnett DK, Hunt SC, Walker M, Koistinen HA, Chandak GR, Mercader JM, Costanzo MC, Jang D, Burtt NP, Villalpando CG, Orozco L, Fornage M, Tai E, van Dam RM, Lehtimäki T, Chaturvedi N, Yokota M, Liu J, Reilly DF, McKnight AJ, Kee F, Jöckel KH, McCarthy MI, Palmer CNA, Vitart V, Hayward C, Simonsick E, van Duijn CM, Jin ZB, Qu J, Hishigaki H, Lin X, März W, Gudnason V, Tardif JC, Lettre G, Hart LM', Elders PJM, Damrauer SM, Kumari M, Kivimaki M, van der Harst P, Spector TD, Loos RJF, Province MA, Parra EJ, Cruz M, Psaty BM, Brandslund I, Pramstaller PP, Rotimi CN, Christensen K, Ripatti S, Widén E, Hakonarson H, Grant SFA, Kiemeney LALM, de Graaf J, Loeffler M, Kronenberg F, Gu D, Erdmann J, Schunkert H, Franks PW, Linneberg A, Jukema JW, Khera AV, Männikkö M, Jarvelin MR, Kutalik Z, Francesco C, Mook-Kanamori DO, van Dijk KW, Watkins H, Strachan DP, Grarup N, Sever P, Poulter N, Chuang LM, Rotter JI, Dantoft TM, Karpe F, Neville MJ, Timpson NJ, Cheng CY, Wong TY, Khor CC, Li H, Sabanayagam C, Peters A, Gieger C, Hattersley AT, Pedersen NL, Magnusson PKE, Boomsma DI, Willemsen AHM, Cupples L, van Meurs JBJ, Ghanbari M, Gordon-Larsen P, Huang W, Kim YJ, Tabara Y, Wareham NJ, Langenberg C, Zeggini E, Kuusisto J, Laakso M, Ingelsson E, Abecasis G, Chambers JC, Kooner JS, de Vries PS, Morrison AC, Hazelhurst S, Ramsay M, North KE, Daviglus M, Kraft P, Martin NG, Whitfield JB, Abbas S, Saleheen D, Walters RG, Holmes MV, Black C, Smith BH, Baras A, Justice AE, Buring JE, Ridker PM, Chasman DI, Kooperberg C, Tamiya G, Yamamoto M, van Heel DA, Trembath RC, Wei WQ, Jarvik GP, Namjou B, Hayes MG, Ritchie MD, Jousilahti P, Salomaa V, Hveem K, Åsvold BO, Kubo M, Kamatani Y, Okada Y, Murakami Y, Kim BJ, Thorsteinsdottir U, Stefansson K, Zhang J, Chen Y, Ho YL, Lynch JA, Rader DJ, Tsao PS, Chang KM, Cho K, O'Donnell CJ, Gaziano JM, Wilson PWF, Frayling TM, Hirschhorn JN, Kathiresan S, Mohlke KL, Sun YV, Morris AP, Boehnke M, Brown CD, Natarajan P, Deloukas P, Willer CJ, Assimes TL, and Peloso GM

Subjects
Humans, Sex Characteristics, Phenotype, Lipids genetics, Polymorphism, Single Nucleotide, Genetic Pleiotropy, Genome-Wide Association Study, Genetic Predisposition to Disease
Abstract

Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery., Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches. Using phenome-wide association (PheWAS) scans, we identify relationships of genetically predicted lipid levels to other diseases and conditions. We confirm known pleiotropic associations with cardiovascular phenotypes and determine novel associations, notably with cholelithiasis risk. We perform sex-stratified GWAS meta-analysis of lipid levels and show that 3-5% of autosomal lipid-associated loci demonstrate sex-biased effects. Finally, we report 21 novel lipid loci identified on the X chromosome. Many of the sex-biased autosomal and X chromosome lipid loci show pleiotropic associations with sex hormones, emphasizing the role of hormone regulation in lipid metabolism., Conclusions: Taken together, our findings provide insights into the biological mechanisms through which associated variants lead to altered lipid levels and potentially cardiovascular disease risk., (© 2022. The Author(s).)

Published
2022
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7. A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.

Author

Ramdas S, Judd J, Graham SE, Kanoni S, Wang Y, Surakka I, Wenz B, Clarke SL, Chesi A, Wells A, Bhatti KF, Vedantam S, Winkler TW, Locke AE, Marouli E, Zajac GJM, Wu KH, Ntalla I, Hui Q, Klarin D, Hilliard AT, Wang Z, Xue C, Thorleifsson G, Helgadottir A, Gudbjartsson DF, Holm H, Olafsson I, Hwang MY, Han S, Akiyama M, Sakaue S, Terao C, Kanai M, Zhou W, Brumpton BM, Rasheed H, Havulinna AS, Veturi Y, Pacheco JA, Rosenthal EA, Lingren T, Feng Q, Kullo IJ, Narita A, Takayama J, Martin HC, Hunt KA, Trivedi B, Haessler J, Giulianini F, Bradford Y, Miller JE, Campbell A, Lin K, Millwood IY, Rasheed A, Hindy G, Faul JD, Zhao W, Weir DR, Turman C, Huang H, Graff M, Choudhury A, Sengupta D, Mahajan A, Brown MR, Zhang W, Yu K, Schmidt EM, Pandit A, Gustafsson S, Yin X, Luan J, Zhao JH, Matsuda F, Jang HM, Yoon K, Medina-Gomez C, Pitsillides A, Hottenga JJ, Wood AR, Ji Y, Gao Z, Haworth S, Mitchell RE, Chai JF, Aadahl M, Bjerregaard AA, Yao J, Manichaikul A, Lee WJ, Hsiung CA, Warren HR, Ramirez J, Bork-Jensen J, Kårhus LL, Goel A, Sabater-Lleal M, Noordam R, Mauro P, Matteo F, McDaid AF, Marques-Vidal P, Wielscher M, Trompet S, Sattar N, Møllehave LT, Munz M, Zeng L, Huang J, Yang B, Poveda A, Kurbasic A, Schönherr S, Forer L, Scholz M, Galesloot TE, Bradfield JP, Ruotsalainen SE, Daw EW, Zmuda JM, Mitchell JS, Fuchsberger C, Christensen H, Brody JA, Le P, Feitosa MF, Wojczynski MK, Hemerich D, Preuss M, Mangino M, Christofidou P, Verweij N, Benjamins JW, Engmann J, Noah TL, Verma A, Slieker RC, Lo KS, Zilhao NR, Kleber ME, Delgado GE, Huo S, Ikeda DD, Iha H, Yang J, Liu J, Demirkan A, Leonard HL, Marten J, Emmel C, Schmidt B, Smyth LJ, Cañadas-Garre M, Wang C, Nakatochi M, Wong A, Hutri-Kähönen N, Sim X, Xia R, Huerta-Chagoya A, Fernandez-Lopez JC, Lyssenko V, Nongmaithem SS, Sankareswaran A, Irvin MR, Oldmeadow C, Kim HN, Ryu S, Timmers PRHJ, Arbeeva L, Dorajoo R, Lange LA, Prasad G, Lorés-Motta L, Pauper M, Long J, Li X, Theusch E, Takeuchi F, Spracklen CN, Loukola A, Bollepalli S, Warner SC, Wang YX, Wei WB, Nutile T, Ruggiero D, Sung YJ, Chen S, Liu F, Yang J, Kentistou KA, Banas B, Morgan A, Meidtner K, Bielak LF, Smith JA, Hebbar P, Farmaki AE, Hofer E, Lin M, Concas MP, Vaccargiu S, van der Most PJ, Pitkänen N, Cade BE, van der Laan SW, Chitrala KN, Weiss S, Bentley AR, Doumatey AP, Adeyemo AA, Lee JY, Petersen ERB, Nielsen AA, Choi HS, Nethander M, Freitag-Wolf S, Southam L, Rayner NW, Wang CA, Lin SY, Wang JS, Couture C, Lyytikäinen LP, Nikus K, Cuellar-Partida G, Vestergaard H, Hidalgo B, Giannakopoulou O, Cai Q, Obura MO, van Setten J, He KY, Tang H, Terzikhan N, Shin JH, Jackson RD, Reiner AP, Martin LW, Chen Z, Li L, Kawaguchi T, Thiery J, Bis JC, Launer LJ, Li H, Nalls MA, Raitakari OT, Ichihara S, Wild SH, Nelson CP, Campbell H, Jäger S, Nabika T, Al-Mulla F, Niinikoski H, Braund PS, Kolcic I, Kovacs P, Giardoglou T, Katsuya T, de Kleijn D, de Borst GJ, Kim EK, Adams HHH, Ikram MA, Zhu X, Asselbergs FW, Kraaijeveld AO, Beulens JWJ, Shu XO, Rallidis LS, Pedersen O, Hansen T, Mitchell P, Hewitt AW, Kähönen M, Pérusse L, Bouchard C, Tönjes A, Ida Chen YD, Pennell CE, Mori TA, Lieb W, Franke A, Ohlsson C, Mellström D, Cho YS, Lee H, Yuan JM, Koh WP, Rhee SY, Woo JT, Heid IM, Stark KJ, Zimmermann ME, Völzke H, Homuth G, Evans MK, Zonderman AB, Polasek O, Pasterkamp G, Hoefer IE, Redline S, Pahkala K, Oldehinkel AJ, Snieder H, Biino G, Schmidt R, Schmidt H, Bandinelli S, Dedoussis G, Thanaraj TA, Peyser PA, Kato N, Schulze MB, Girotto G, Böger CA, Jung B, Joshi PK, Bennett DA, De Jager PL, Lu X, Mamakou V, Brown M, Caulfield MJ, Munroe PB, Guo X, Ciullo M, Jonas JB, Samani NJ, Kaprio J, Pajukanta P, Tusié-Luna T, Aguilar-Salinas CA, Adair LS, Bechayda SA, de Silva HJ, Wickremasinghe AR, Krauss RM, Wu JY, Zheng W, den Hollander AI, Bharadwaj D, Correa A, Wilson JG, Lind L, Heng CK, Nelson AE, Golightly YM, Wilson JF, Penninx B, Kim HL, Attia J, Scott RJ, Rao DC, Arnett DK, Walker M, Scott LJ, Koistinen HA, Chandak GR, Mercader JM, Villalpando CG, Orozco L, Fornage M, Tai ES, van Dam RM, Lehtimäki T, Chaturvedi N, Yokota M, Liu J, Reilly DF, McKnight AJ, Kee F, Jöckel KH, McCarthy MI, Palmer CNA, Vitart V, Hayward C, Simonsick E, van Duijn CM, Jin ZB, Lu F, Hishigaki H, Lin X, März W, Gudnason V, Tardif JC, Lettre G, T Hart LM, Elders PJM, Rader DJ, Damrauer SM, Kumari M, Kivimaki M, van der Harst P, Spector TD, Loos RJF, Province MA, Parra EJ, Cruz M, Psaty BM, Brandslund I, Pramstaller PP, Rotimi CN, Christensen K, Ripatti S, Widén E, Hakonarson H, Grant SFA, Kiemeney L, de Graaf J, Loeffler M, Kronenberg F, Gu D, Erdmann J, Schunkert H, Franks PW, Linneberg A, Jukema JW, Khera AV, Männikkö M, Jarvelin MR, Kutalik Z, Francesco C, Mook-Kanamori DO, Willems van Dijk K, Watkins H, Strachan DP, Grarup N, Sever P, Poulter N, Huey-Herng Sheu W, Rotter JI, Dantoft TM, Karpe F, Neville MJ, Timpson NJ, Cheng CY, Wong TY, Khor CC, Li H, Sabanayagam C, Peters A, Gieger C, Hattersley AT, Pedersen NL, Magnusson PKE, Boomsma DI, de Geus EJC, Cupples LA, van Meurs JBJ, Ikram A, Ghanbari M, Gordon-Larsen P, Huang W, Kim YJ, Tabara Y, Wareham NJ, Langenberg C, Zeggini E, Tuomilehto J, Kuusisto J, Laakso M, Ingelsson E, Abecasis G, Chambers JC, Kooner JS, de Vries PS, Morrison AC, Hazelhurst S, Ramsay M, North KE, Daviglus M, Kraft P, Martin NG, Whitfield JB, Abbas S, Saleheen D, Walters RG, Holmes MV, Black C, Smith BH, Baras A, Justice AE, Buring JE, Ridker PM, Chasman DI, Kooperberg C, Tamiya G, Yamamoto M, van Heel DA, Trembath RC, Wei WQ, Jarvik GP, Namjou B, Hayes MG, Ritchie MD, Jousilahti P, Salomaa V, Hveem K, Åsvold BO, Kubo M, Kamatani Y, Okada Y, Murakami Y, Kim BJ, Thorsteinsdottir U, Stefansson K, Zhang J, Chen YE, Ho YL, Lynch JA, Tsao PS, Chang KM, Cho K, O'Donnell CJ, Gaziano JM, Wilson P, Mohlke KL, Frayling TM, Hirschhorn JN, Kathiresan S, Boehnke M, Struan Grant, Natarajan P, Sun YV, Morris AP, Deloukas P, Peloso G, Assimes TL, Willer CJ, Zhu X, and Brown CD

Subjects
Chromatin genetics, Genomics, Humans, Lipids genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
Abstract

A major challenge of genome-wide association studies (GWASs) is to translate phenotypic associations into biological insights. Here, we integrate a large GWAS on blood lipids involving 1.6 million individuals from five ancestries with a wide array of functional genomic datasets to discover regulatory mechanisms underlying lipid associations. We first prioritize lipid-associated genes with expression quantitative trait locus (eQTL) colocalizations and then add chromatin interaction data to narrow the search for functional genes. Polygenic enrichment analysis across 697 annotations from a host of tissues and cell types confirms the central role of the liver in lipid levels and highlights the selective enrichment of adipose-specific chromatin marks in high-density lipoprotein cholesterol and triglycerides. Overlapping transcription factor (TF) binding sites with lipid-associated loci identifies TFs relevant in lipid biology. In addition, we present an integrative framework to prioritize causal variants at GWAS loci, producing a comprehensive list of candidate causal genes and variants with multiple layers of functional evidence. We highlight two of the prioritized genes, CREBRF and RRBP1, which show convergent evidence across functional datasets supporting their roles in lipid biology., Competing Interests: Declaration of interests G.C.-P. is currently an employee of 23andMe Inc. M.J.C. is the Chief Scientist for Genomics England, a UK Government company. B.M. Psaty serves on the steering committee of the Yale Open Data Access Project funded by Johnson & Johnson. G. Thorleifsson, A.H., D.F.G., H. Holm, U.T., and K.S. are employees of deCODE/Amgen Inc. V.S. has received honoraria for consultations from Novo Nordisk and Sanofi and has an ongoing research collaboration with Bayer Ltd. M. McCarthy has served on advisory panels for Pfizer, NovoNordisk, and Zoe Global and has received honoraria from Merck, Pfizer, Novo Nordisk, and Eli Lilly and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda. M. McCarthy and A. Mahajan are employees of Genentech and holders of Roche stock. M.S. receives funding from Pfizer Inc. for a project unrelated to this work. M.E.K. is employed by SYNLAB MVZ Mannheim GmbH. W.M. has received grants from Siemens Healthineers, grants and personal fees from Aegerion Pharmaceuticals, grants and personal fees from AMGEN, grants from Astrazeneca, grants and personal fees from Sanofi, grants and personal fees from Alexion Pharmaceuticals, grants and personal fees from BASF, grants and personal fees from Abbott Diagnostics, grants and personal fees from Numares AG, grants and personal fees from Berlin-Chemie, grants and personal fees from Akzea Therapeutics, grants from Bayer Vital GmbH , grants from bestbion dx GmbH, grants from Boehringer Ingelheim Pharma GmbH Co KG, grants from Immundiagnostik GmbH, grants from Merck Chemicals GmbH, grants from MSD Sharp and Dohme GmbH, grants from Novartis Pharma GmbH, grants from Olink Proteomics, and other from Synlab Holding Deutschland GmbH, all outside the submitted work. A.V.K. has served as a consultant to Sanofi, Medicines Company, Maze Pharmaceuticals, Navitor Pharmaceuticals, Verve Therapeutics, Amgen, and Color Genomics; received speaking fees from Illumina and the Novartis Institute for Biomedical Research; received sponsored research agreements from the Novartis Institute for Biomedical Research and IBM Research, and reports a patent related to a genetic risk predictor (20190017119). S. Kathiresan is an employee of Verve Therapeutics and holds equity in Verve Therapeutics, Maze Therapeutics, Catabasis, and San Therapeutics. He is a member of the scientific advisory boards for Regeneron Genetics Center and Corvidia Therapeutics; he has served as a consultant for Acceleron, Eli Lilly, Novartis, Merck, Novo Nordisk, Novo Ventures, Ionis, Alnylam, Aegerion, Haug Partners, Noble Insights, Leerink Partners, Bayer Healthcare, Illumina, Color Genomics, MedGenome, Quest, and Medscape; and he reports patents related to a method of identifying and treating a person having a predisposition to or afflicted with cardiometabolic disease (20180010185) and a genetics risk predictor (20190017119). D.K. accepts consulting fees from Regeneron Pharmaceuticals. D.O.M.-K. is a part-time clinical research consultant for Metabolon, Inc. D. Saleheen has received support from the British Heart Foundation, Pfizer, Regeneron, Genentech, and Eli Lilly pharmaceuticals. P.N. reports investigator-initated grants from Amgen, Apple, AstraZeneca, Boston Scientific, and Novartis, personal fees from Apple, AstraZeneca, Blackstone Life Sciences, Foresite Labs, Novartis, Roche / Genentech, is a co-founder of TenSixteen Bio, is a scientific advisory board member of Esperion Therapeutics, geneXwell, and TenSixteen Bio, and spousal employment at Vertex, all unrelated to the present work. The spouse of C.J.W. is employed by Regeneron., (Copyright © 2022 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)

Published
2022
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8. Genetically Determined Reproductive Aging and Coronary Heart Disease: A Bidirectional 2-sample Mendelian Randomization.

Author

Dam V, Onland-Moret NC, Burgess S, Chirlaque MD, Peters SAE, Schuit E, Tikk K, Weiderpass E, Oliver-Williams C, Wood AM, Tjønneland A, Dahm CC, Overvad K, Boutron-Ruault MC, Schulze MB, Trichopoulou A, Ferrari P, Masala G, Krogh V, Tumino R, Matullo G, Panico S, Boer JMA, Verschuren WMM, Waaseth M, Pérez MJS, Amiano P, Imaz L, Moreno-Iribas C, Melander O, Harlid S, Nordendahl M, Wennberg P, Key TJ, Riboli E, Santiuste C, Kaaks R, Katzke V, Langenberg C, Wareham NJ, Schunkert H, Erdmann J, Willenborg C, Hengstenberg C, Kleber ME, Delgado G, März W, Kanoni S, Dedoussis G, Deloukas P, Nikpay M, McPherson R, Scholz M, Teren A, Butterworth AS, and van der Schouw YT

Subjects
Aging genetics, Female, Humans, Male, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Coronary Disease epidemiology, Coronary Disease genetics, Genome-Wide Association Study methods
Abstract

Background: Accelerated reproductive aging, in women indicated by early natural menopause, is associated with increased coronary heart disease (CHD) risk in observational studies. Conversely, an adverse CHD risk profile has been suggested to accelerate menopause., Objectives: To study the direction and evidence for causality of the relationship between reproductive aging and (non-)fatal CHD and CHD risk factors in a bidirectional Mendelian randomization (MR) approach, using age at natural menopause (ANM) genetic variants as a measure for genetically determined reproductive aging in women. We also studied the association of these variants with CHD risk (factors) in men., Design: Two-sample MR, using both cohort data as well as summary statistics, with 4 methods: simple and weighted median-based, standard inverse-variance weighted (IVW) regression, and MR-Egger regression., Participants: Data from EPIC-CVD and summary statistics from UK Biobank and publicly available genome-wide association studies were pooled for the different analyses., Main Outcome Measures: CHD, CHD risk factors, and ANM., Results: Across different methods of MR, no association was found between genetically determined reproductive aging and CHD risk in women (relative risk estimateIVW = 0.99; 95% confidence interval (CI), 0.97-1.01), or any of the CHD risk factors. Similarly, no associations were found in men. Neither did the reversed analyses show evidence for an association between CHD (risk factors) and reproductive aging., Conclusion: Genetically determined reproductive aging is not causally associated with CHD risk (factors) in women, nor were the genetic variants associated in men. We found no evidence for a reverse association in a combined sample of women and men., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society.)

Published
2022
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9. Colocalization analysis of pancreas eQTLs with risk loci from alcoholic and novel non-alcoholic chronic pancreatitis GWAS suggests potential disease causing mechanisms.

Author

Schmidt AW, Kühnapfel A, Kirsten H, Grallert H, Hellerbrand C, Kiefer F, Mann K, Mueller S, Nöthen MM, Peters A, Ridinger M, Frank J, Rietschel M, Soranzo N, Soyka M, Wodarz N, Malerba G, Gambaro G, Gieger C, Scholz M, Krug S, Michl P, Ewers M, Witt H, Laumen H, and Rosendahl J

Subjects
Bayes Theorem, Genetic Predisposition to Disease, Humans, Nuclear Proteins, Pancreas, Polymorphism, Single Nucleotide, Quantitative Trait Loci genetics, Trypsin Inhibitor, Kazal Pancreatic genetics, Genome-Wide Association Study, Pancreatitis, Alcoholic genetics
Abstract

Background: Previous genome-wide association studies (GWAS) identified genome-wide significant risk loci in chronic pancreatitis and investigated underlying disease causing mechanisms by simple overlaps with expression quantitative trait loci (eQTLs), a procedure which may often result in false positive conclusions., Methods: We conducted a GWAS in 584 non-alcoholic chronic pancreatitis (NACP) patients and 6040 healthy controls. Next, we applied Bayesian colocalization analysis of identified genome-wide significant risk loci from both, our recently published alcoholic chronic pancreatitis (ACP) and the novel NACP dataset, with pancreas eQTLs from the GTEx V8 European cohort to prioritize candidate causal genes and extracted credible sets of shared causal variants., Results: Variants at the CTRC (p = 1.22 × 10 -21 ) and SPINK1 (p = 6.59 × 10 -47 ) risk loci reached genome-wide significance in NACP. CTRC risk variants colocalized with CTRC eQTLs in ACP (PP4 = 0.99, PP4/PP3 = 95.51) and NACP (PP4 = 0.99, PP4/PP3 = 95.46). For both diseases, the 95% credible set of shared causal variants consisted of rs497078 and rs545634. CLDN2-MORC4 risk variants colocalized with CLDN2 eQTLs in ACP (PP4 = 0.98, PP4/PP3 = 42.20) and NACP (PP4 = 0.67, PP4/PP3 = 7.18), probably driven by the shared causal variant rs12688220., Conclusions: A shared causal CTRC risk variant might unfold its pathogenic effect in ACP and NACP by reducing CTRC expression, while the CLDN2-MORC4 shared causal variant rs12688220 may modify ACP and NACP risk by increasing CLDN2 expression., Competing Interests: Declaration of competing interest The authors report no conflicts of interest., (Copyright © 2022 IAP and EPC. Published by Elsevier B.V. All rights reserved.)

Published
2022
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10. The power of genetic diversity in genome-wide association studies of lipids.

Author

Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, Vedantam S, Winkler TW, Locke AE, Marouli E, Hwang MY, Han S, Narita A, Choudhury A, Bentley AR, Ekoru K, Verma A, Trivedi B, Martin HC, Hunt KA, Hui Q, Klarin D, Zhu X, Thorleifsson G, Helgadottir A, Gudbjartsson DF, Holm H, Olafsson I, Akiyama M, Sakaue S, Terao C, Kanai M, Zhou W, Brumpton BM, Rasheed H, Ruotsalainen SE, Havulinna AS, Veturi Y, Feng Q, Rosenthal EA, Lingren T, Pacheco JA, Pendergrass SA, Haessler J, Giulianini F, Bradford Y, Miller JE, Campbell A, Lin K, Millwood IY, Hindy G, Rasheed A, Faul JD, Zhao W, Weir DR, Turman C, Huang H, Graff M, Mahajan A, Brown MR, Zhang W, Yu K, Schmidt EM, Pandit A, Gustafsson S, Yin X, Luan J, Zhao JH, Matsuda F, Jang HM, Yoon K, Medina-Gomez C, Pitsillides A, Hottenga JJ, Willemsen G, Wood AR, Ji Y, Gao Z, Haworth S, Mitchell RE, Chai JF, Aadahl M, Yao J, Manichaikul A, Warren HR, Ramirez J, Bork-Jensen J, Kårhus LL, Goel A, Sabater-Lleal M, Noordam R, Sidore C, Fiorillo E, McDaid AF, Marques-Vidal P, Wielscher M, Trompet S, Sattar N, Møllehave LT, Thuesen BH, Munz M, Zeng L, Huang J, Yang B, Poveda A, Kurbasic A, Lamina C, Forer L, Scholz M, Galesloot TE, Bradfield JP, Daw EW, Zmuda JM, Mitchell JS, Fuchsberger C, Christensen H, Brody JA, Feitosa MF, Wojczynski MK, Preuss M, Mangino M, Christofidou P, Verweij N, Benjamins JW, Engmann J, Kember RL, Slieker RC, Lo KS, Zilhao NR, Le P, Kleber ME, Delgado GE, Huo S, Ikeda DD, Iha H, Yang J, Liu J, Leonard HL, Marten J, Schmidt B, Arendt M, Smyth LJ, Cañadas-Garre M, Wang C, Nakatochi M, Wong A, Hutri-Kähönen N, Sim X, Xia R, Huerta-Chagoya A, Fernandez-Lopez JC, Lyssenko V, Ahmed M, Jackson AU, Yousri NA, Irvin MR, Oldmeadow C, Kim HN, Ryu S, Timmers PRHJ, Arbeeva L, Dorajoo R, Lange LA, Chai X, Prasad G, Lorés-Motta L, Pauper M, Long J, Li X, Theusch E, Takeuchi F, Spracklen CN, Loukola A, Bollepalli S, Warner SC, Wang YX, Wei WB, Nutile T, Ruggiero D, Sung YJ, Hung YJ, Chen S, Liu F, Yang J, Kentistou KA, Gorski M, Brumat M, Meidtner K, Bielak LF, Smith JA, Hebbar P, Farmaki AE, Hofer E, Lin M, Xue C, Zhang J, Concas MP, Vaccargiu S, van der Most PJ, Pitkänen N, Cade BE, Lee J, van der Laan SW, Chitrala KN, Weiss S, Zimmermann ME, Lee JY, Choi HS, Nethander M, Freitag-Wolf S, Southam L, Rayner NW, Wang CA, Lin SY, Wang JS, Couture C, Lyytikäinen LP, Nikus K, Cuellar-Partida G, Vestergaard H, Hildalgo B, Giannakopoulou O, Cai Q, Obura MO, van Setten J, Li X, Schwander K, Terzikhan N, Shin JH, Jackson RD, Reiner AP, Martin LW, Chen Z, Li L, Highland HM, Young KL, Kawaguchi T, Thiery J, Bis JC, Nadkarni GN, Launer LJ, Li H, Nalls MA, Raitakari OT, Ichihara S, Wild SH, Nelson CP, Campbell H, Jäger S, Nabika T, Al-Mulla F, Niinikoski H, Braund PS, Kolcic I, Kovacs P, Giardoglou T, Katsuya T, Bhatti KF, de Kleijn D, de Borst GJ, Kim EK, Adams HHH, Ikram MA, Zhu X, Asselbergs FW, Kraaijeveld AO, Beulens JWJ, Shu XO, Rallidis LS, Pedersen O, Hansen T, Mitchell P, Hewitt AW, Kähönen M, Pérusse L, Bouchard C, Tönjes A, Chen YI, Pennell CE, Mori TA, Lieb W, Franke A, Ohlsson C, Mellström D, Cho YS, Lee H, Yuan JM, Koh WP, Rhee SY, Woo JT, Heid IM, Stark KJ, Völzke H, Homuth G, Evans MK, Zonderman AB, Polasek O, Pasterkamp G, Hoefer IE, Redline S, Pahkala K, Oldehinkel AJ, Snieder H, Biino G, Schmidt R, Schmidt H, Chen YE, Bandinelli S, Dedoussis G, Thanaraj TA, Kardia SLR, Kato N, Schulze MB, Girotto G, Jung B, Böger CA, Joshi PK, Bennett DA, De Jager PL, Lu X, Mamakou V, Brown M, Caulfield MJ, Munroe PB, Guo X, Ciullo M, Jonas JB, Samani NJ, Kaprio J, Pajukanta P, Adair LS, Bechayda SA, de Silva HJ, Wickremasinghe AR, Krauss RM, Wu JY, Zheng W, den Hollander AI, Bharadwaj D, Correa A, Wilson JG, Lind L, Heng CK, Nelson AE, Golightly YM, Wilson JF, Penninx B, Kim HL, Attia J, Scott RJ, Rao DC, Arnett DK, Hunt SC, Walker M, Koistinen HA, Chandak GR, Yajnik CS, Mercader JM, Tusié-Luna T, Aguilar-Salinas CA, Villalpando CG, Orozco L, Fornage M, Tai ES, van Dam RM, Lehtimäki T, Chaturvedi N, Yokota M, Liu J, Reilly DF, McKnight AJ, Kee F, Jöckel KH, McCarthy MI, Palmer CNA, Vitart V, Hayward C, Simonsick E, van Duijn CM, Lu F, Qu J, Hishigaki H, Lin X, März W, Parra EJ, Cruz M, Gudnason V, Tardif JC, Lettre G, 't Hart LM, Elders PJM, Damrauer SM, Kumari M, Kivimaki M, van der Harst P, Spector TD, Loos RJF, Province MA, Psaty BM, Brandslund I, Pramstaller PP, Christensen K, Ripatti S, Widén E, Hakonarson H, Grant SFA, Kiemeney LALM, de Graaf J, Loeffler M, Kronenberg F, Gu D, Erdmann J, Schunkert H, Franks PW, Linneberg A, Jukema JW, Khera AV, Männikkö M, Jarvelin MR, Kutalik Z, Cucca F, Mook-Kanamori DO, van Dijk KW, Watkins H, Strachan DP, Grarup N, Sever P, Poulter N, Rotter JI, Dantoft TM, Karpe F, Neville MJ, Timpson NJ, Cheng CY, Wong TY, Khor CC, Sabanayagam C, Peters A, Gieger C, Hattersley AT, Pedersen NL, Magnusson PKE, Boomsma DI, de Geus EJC, Cupples LA, van Meurs JBJ, Ghanbari M, Gordon-Larsen P, Huang W, Kim YJ, Tabara Y, Wareham NJ, Langenberg C, Zeggini E, Kuusisto J, Laakso M, Ingelsson E, Abecasis G, Chambers JC, Kooner JS, de Vries PS, Morrison AC, North KE, Daviglus M, Kraft P, Martin NG, Whitfield JB, Abbas S, Saleheen D, Walters RG, Holmes MV, Black C, Smith BH, Justice AE, Baras A, Buring JE, Ridker PM, Chasman DI, Kooperberg C, Wei WQ, Jarvik GP, Namjou B, Hayes MG, Ritchie MD, Jousilahti P, Salomaa V, Hveem K, Åsvold BO, Kubo M, Kamatani Y, Okada Y, Murakami Y, Thorsteinsdottir U, Stefansson K, Ho YL, Lynch JA, Rader DJ, Tsao PS, Chang KM, Cho K, O'Donnell CJ, Gaziano JM, Wilson P, Rotimi CN, Hazelhurst S, Ramsay M, Trembath RC, van Heel DA, Tamiya G, Yamamoto M, Kim BJ, Mohlke KL, Frayling TM, Hirschhorn JN, Kathiresan S, Boehnke M, Natarajan P, Peloso GM, Brown CD, Morris AP, Assimes TL, Deloukas P, Sun YV, and Willer CJ

Subjects
Genetic Predisposition to Disease genetics, Humans, Linkage Disequilibrium, Multifactorial Inheritance, Polymorphism, Single Nucleotide genetics, Population Groups, Cardiovascular Diseases genetics, Genome-Wide Association Study methods
Abstract

Increased blood lipid levels are heritable risk factors of cardiovascular disease with varied prevalence worldwide owing to different dietary patterns and medication use 1 . Despite advances in prevention and treatment, in particular through reducing low-density lipoprotein cholesterol levels 2 , heart disease remains the leading cause of death worldwide 3 . Genome-wideassociation studies (GWAS) of blood lipid levels have led to important biological and clinical insights, as well as new drug targets, for cardiovascular disease. However, most previous GWAS 4-23 have been conducted in European ancestry populations and may have missed genetic variants that contribute to lipid-level variation in other ancestry groups. These include differences in allele frequencies, effect sizes and linkage-disequilibrium patterns 24 . Here we conduct a multi-ancestry, genome-wide genetic discovery meta-analysis of lipid levels in approximately 1.65 million individuals, including 350,000 of non-European ancestries. We quantify the gain in studying non-European ancestries and provide evidence to support the expansion of recruitment of additional ancestries, even with relatively small sample sizes. We find that increasing diversity rather than studying additional individuals of European ancestry results in substantial improvements in fine-mapping functional variants and portability of polygenic prediction (evaluated in approximately 295,000 individuals from 7 ancestry groupings). Modest gains in the number of discovered loci and ancestry-specific variants were also achieved. As GWAS expand emphasis beyond the identification of genes and fundamental biology towards the use of genetic variants for preventive and precision medicine 25 , we anticipate that increased diversity of participants will lead to more accurate and equitable 26 application of polygenic scores in clinical practice., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)

Published
2021
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11. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline.

Author

Gorski M, Jung B, Li Y, Matias-Garcia PR, Wuttke M, Coassin S, Thio CHL, Kleber ME, Winkler TW, Wanner V, Chai JF, Chu AY, Cocca M, Feitosa MF, Ghasemi S, Hoppmann A, Horn K, Li M, Nutile T, Scholz M, Sieber KB, Teumer A, Tin A, Wang J, Tayo BO, Ahluwalia TS, Almgren P, Bakker SJL, Banas B, Bansal N, Biggs ML, Boerwinkle E, Bottinger EP, Brenner H, Carroll RJ, Chalmers J, Chee ML, Chee ML, Cheng CY, Coresh J, de Borst MH, Degenhardt F, Eckardt KU, Endlich K, Franke A, Freitag-Wolf S, Gampawar P, Gansevoort RT, Ghanbari M, Gieger C, Hamet P, Ho K, Hofer E, Holleczek B, Xian Foo VH, Hutri-Kähönen N, Hwang SJ, Ikram MA, Josyula NS, Kähönen M, Khor CC, Koenig W, Kramer H, Krämer BK, Kühnel B, Lange LA, Lehtimäki T, Lieb W, Loos RJF, Lukas MA, Lyytikäinen LP, Meisinger C, Meitinger T, Melander O, Milaneschi Y, Mishra PP, Mononen N, Mychaleckyj JC, Nadkarni GN, Nauck M, Nikus K, Ning B, Nolte IM, O'Donoghue ML, Orho-Melander M, Pendergrass SA, Penninx BWJH, Preuss MH, Psaty BM, Raffield LM, Raitakari OT, Rettig R, Rheinberger M, Rice KM, Rosenkranz AR, Rossing P, Rotter JI, Sabanayagam C, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Sedaghat S, Shaffer CM, Strauch K, Szymczak S, Taylor KD, Tremblay J, Chaker L, van der Harst P, van der Most PJ, Verweij N, Völker U, Waldenberger M, Wallentin L, Waterworth DM, White HD, Wilson JG, Wong TY, Woodward M, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang Y, Snieder H, Wanner C, Böger CA, Köttgen A, Kronenberg F, Pattaro C, and Heid IM

Subjects
AMP-Activated Protein Kinases, Creatinine, Glomerular Filtration Rate genetics, Humans, Protein Disulfide-Isomerases, United Kingdom, Genome-Wide Association Study, Kidney
Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m 2 /year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m 2 at follow-up among those with eGFRcrea 60 mL/min/1.73m 2 or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function., (Copyright © 2020 International Society of Nephrology. All rights reserved.)

Published
2021
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12. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults.

Author

Hofer E, Roshchupkin GV, Adams HHH, Knol MJ, Lin H, Li S, Zare H, Ahmad S, Armstrong NJ, Satizabal CL, Bernard M, Bis JC, Gillespie NA, Luciano M, Mishra A, Scholz M, Teumer A, Xia R, Jian X, Mosley TH, Saba Y, Pirpamer L, Seiler S, Becker JT, Carmichael O, Rotter JI, Psaty BM, Lopez OL, Amin N, van der Lee SJ, Yang Q, Himali JJ, Maillard P, Beiser AS, DeCarli C, Karama S, Lewis L, Harris M, Bastin ME, Deary IJ, Veronica Witte A, Beyer F, Loeffler M, Mather KA, Schofield PR, Thalamuthu A, Kwok JB, Wright MJ, Ames D, Trollor J, Jiang J, Brodaty H, Wen W, Vernooij MW, Hofman A, Uitterlinden AG, Niessen WJ, Wittfeld K, Bülow R, Völker U, Pausova Z, Bruce Pike G, Maingault S, Crivello F, Tzourio C, Amouyel P, Mazoyer B, Neale MC, Franz CE, Lyons MJ, Panizzon MS, Andreassen OA, Dale AM, Logue M, Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Stein JL, Thompson PM, Medland SE, Sachdev PS, Kremen WS, Wardlaw JM, Villringer A, van Duijn CM, Grabe HJ, Longstreth WT Jr, Fornage M, Paus T, Debette S, Ikram MA, Schmidt H, Schmidt R, and Seshadri S

Subjects
Adult, Aged, Aged, 80 and over, Chromosome Structures, Cognition, Female, Genomics, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Aging genetics, Brain, Genome-Wide Association Study, Mental Disorders genetics, Neurodegenerative Diseases genetics
Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.

Published
2020
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13. Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease.

Author

Winkler TW, Grassmann F, Brandl C, Kiel C, Günther F, Strunz T, Weidner L, Zimmermann ME, Korb CA, Poplawski A, Schuster AK, Müller-Nurasyid M, Peters A, Rauscher FG, Elze T, Horn K, Scholz M, Cañadas-Garre M, McKnight AJ, Quinn N, Hogg RE, Küchenhoff H, Heid IM, Stark KJ, and Weber BHF

Subjects
Case-Control Studies, Humans, Genetic Loci, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Macular Degeneration genetics, Macular Degeneration pathology, Polymorphism, Single Nucleotide
Abstract

Background: Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD., Methods: To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loci via GWAS and via a candidate approach based on 14 previously suggested early AMD variants., Results: Altogether, we identified 10 independent loci with statistical significance for early AMD: (i) 8 from our GWAS with genome-wide significance (P < 5 × 10 - 8 ), (ii) one previously suggested locus with experiment-wise significance (P < 0.05/14) in our non-overlapping data and with genome-wide significance when combining the reported and our non-overlapping data (together 17,539 cases, 105,395 controls), and (iii) one further previously suggested locus with experiment-wise significance in our non-overlapping data. Of these 10 identified loci, 8 were novel and 2 known for early AMD. Most of the 10 loci overlapped with known advanced AMD loci (near ARMS2/HTRA1, CFH, C2, C3, CETP, TNFRSF10A, VEGFA, APOE), except two that have not yet been identified with statistical significance for any AMD. Among the 17 genes within these two loci, in-silico functional annotation suggested CD46 and TYR as the most likely responsible genes. Presence or absence of an early AMD effect distinguished the known pathways of advanced AMD genetics (complement/lipid pathways versus extracellular matrix metabolism)., Conclusions: Our GWAS on early AMD identified novel loci, highlighted shared and distinct genetics between early and advanced AMD and provides insights into AMD etiology. Our data provide a resource comparable in size to the existing IAMDGC data on advanced AMD genetics enabling a joint view. The biological relevance of this joint view is underscored by the ability of early AMD effects to differentiate the major pathways for advanced AMD.

Published
2020
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14. Genetic architecture of subcortical brain structures in 38,851 individuals.

Author

Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, Smith AV, Bis JC, Jian X, Luciano M, Hofer E, Teumer A, van der Lee SJ, Yang J, Yanek LR, Lee TV, Li S, Hu Y, Koh JY, Eicher JD, Desrivières S, Arias-Vasquez A, Chauhan G, Athanasiu L, Rentería ME, Kim S, Hoehn D, Armstrong NJ, Chen Q, Holmes AJ, den Braber A, Kloszewska I, Andersson M, Espeseth T, Grimm O, Abramovic L, Alhusaini S, Milaneschi Y, Papmeyer M, Axelsson T, Ehrlich S, Roiz-Santiañez R, Kraemer B, Håberg AK, Jones HJ, Pike GB, Stein DJ, Stevens A, Bralten J, Vernooij MW, Harris TB, Filippi I, Witte AV, Guadalupe T, Wittfeld K, Mosley TH, Becker JT, Doan NT, Hagenaars SP, Saba Y, Cuellar-Partida G, Amin N, Hilal S, Nho K, Mirza-Schreiber N, Arfanakis K, Becker DM, Ames D, Goldman AL, Lee PH, Boomsma DI, Lovestone S, Giddaluru S, Le Hellard S, Mattheisen M, Bohlken MM, Kasperaviciute D, Schmaal L, Lawrie SM, Agartz I, Walton E, Tordesillas-Gutierrez D, Davies GE, Shin J, Ipser JC, Vinke LN, Hoogman M, Jia T, Burkhardt R, Klein M, Crivello F, Janowitz D, Carmichael O, Haukvik UK, Aribisala BS, Schmidt H, Strike LT, Cheng CY, Risacher SL, Pütz B, Fleischman DA, Assareh AA, Mattay VS, Buckner RL, Mecocci P, Dale AM, Cichon S, Boks MP, Matarin M, Penninx BWJH, Calhoun VD, Chakravarty MM, Marquand AF, Macare C, Kharabian Masouleh S, Oosterlaan J, Amouyel P, Hegenscheid K, Rotter JI, Schork AJ, Liewald DCM, de Zubicaray GI, Wong TY, Shen L, Sämann PG, Brodaty H, Roffman JL, de Geus EJC, Tsolaki M, Erk S, van Eijk KR, Cavalleri GL, van der Wee NJA, McIntosh AM, Gollub RL, Bulayeva KB, Bernard M, Richards JS, Himali JJ, Loeffler M, Rommelse N, Hoffmann W, Westlye LT, Valdés Hernández MC, Hansell NK, van Erp TGM, Wolf C, Kwok JBJ, Vellas B, Heinz A, Olde Loohuis LM, Delanty N, Ho BC, Ching CRK, Shumskaya E, Singh B, Hofman A, van der Meer D, Homuth G, Psaty BM, Bastin ME, Montgomery GW, Foroud TM, Reppermund S, Hottenga JJ, Simmons A, Meyer-Lindenberg A, Cahn W, Whelan CD, van Donkelaar MMJ, Yang Q, Hosten N, Green RC, Thalamuthu A, Mohnke S, Hulshoff Pol HE, Lin H, Jack CR Jr, Schofield PR, Mühleisen TW, Maillard P, Potkin SG, Wen W, Fletcher E, Toga AW, Gruber O, Huentelman M, Davey Smith G, Launer LJ, Nyberg L, Jönsson EG, Crespo-Facorro B, Koen N, Greve DN, Uitterlinden AG, Weinberger DR, Steen VM, Fedko IO, Groenewold NA, Niessen WJ, Toro R, Tzourio C, Longstreth WT Jr, Ikram MK, Smoller JW, van Tol MJ, Sussmann JE, Paus T, Lemaître H, Schroeter ML, Mazoyer B, Andreassen OA, Holsboer F, Depondt C, Veltman DJ, Turner JA, Pausova Z, Schumann G, van Rooij D, Djurovic S, Deary IJ, McMahon KL, Müller-Myhsok B, Brouwer RM, Soininen H, Pandolfo M, Wassink TH, Cheung JW, Wolfers T, Martinot JL, Zwiers MP, Nauck M, Melle I, Martin NG, Kanai R, Westman E, Kahn RS, Sisodiya SM, White T, Saremi A, van Bokhoven H, Brunner HG, Völzke H, Wright MJ, van 't Ent D, Nöthen MM, Ophoff RA, Buitelaar JK, Fernández G, Sachdev PS, Rietschel M, van Haren NEM, Fisher SE, Beiser AS, Francks C, Saykin AJ, Mather KA, Romanczuk-Seiferth N, Hartman CA, DeStefano AL, Heslenfeld DJ, Weiner MW, Walter H, Hoekstra PJ, Nyquist PA, Franke B, Bennett DA, Grabe HJ, Johnson AD, Chen C, van Duijn CM, Lopez OL, Fornage M, Wardlaw JM, Schmidt R, DeCarli C, De Jager PL, Villringer A, Debette S, Gudnason V, Medland SE, Shulman JM, Thompson PM, Seshadri S, and Ikram MA

Subjects
Adult, Aged, Animals, Cohort Studies, Drosophila melanogaster genetics, Drosophila melanogaster growth & development, Humans, Magnetic Resonance Imaging, Middle Aged, Organ Size, Brain anatomy & histology, Brain metabolism, Drosophila melanogaster metabolism, Genetic Variation, Genome-Wide Association Study, Neurodevelopmental Disorders genetics, Neurodevelopmental Disorders pathology
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019
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15. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.

Author

Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H, Tin A, Chu AY, Bansal N, Feitosa MF, Wang L, Chai JF, Cocca M, Fuchsberger C, Gorski M, Hoppmann A, Horn K, Li M, Marten J, Noce D, Nutile T, Sedaghat S, Sveinbjornsson G, Tayo BO, van der Most PJ, Xu Y, Yu Z, Gerstner L, Ärnlöv J, Bakker SJL, Baptista D, Biggs ML, Boerwinkle E, Brenner H, Burkhardt R, Carroll RJ, Chee ML, Chee ML, Chen M, Cheng CY, Cook JP, Coresh J, Corre T, Danesh J, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Dittrich K, Divers J, Eckardt KU, Ehret G, Endlich K, Felix JF, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Gansevoort RT, Giedraitis V, Gögele M, Grundner-Culemann F, Gudbjartsson DF, Gudnason V, Hamet P, Harris TB, Hicks AA, Holm H, Foo VHX, Hwang SJ, Ikram MA, Ingelsson E, Jaddoe VWV, Jakobsdottir J, Josyula NS, Jung B, Kähönen M, Khor CC, Kiess W, Koenig W, Körner A, Kovacs P, Kramer H, Krämer BK, Kronenberg F, Lange LA, Langefeld CD, Lee JJ, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Loeffler M, Lyytikäinen LP, Mahajan A, Maranville JC, Mascalzoni D, McMullen B, Meisinger C, Meitinger T, Miliku K, Mook-Kanamori DO, Müller-Nurasyid M, Mychaleckyj JC, Nauck M, Nikus K, Ning B, Noordam R, Connell JO, Olafsson I, Palmer ND, Peters A, Podgornaia AI, Ponte B, Poulain T, Pramstaller PP, Rabelink TJ, Raffield LM, Reilly DF, Rettig R, Rheinberger M, Rice KM, Rivadeneira F, Runz H, Ryan KA, Sabanayagam C, Saum KU, Schöttker B, Shaffer CM, Shi Y, Smith AV, Strauch K, Stumvoll M, Sun BB, Szymczak S, Tai ES, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorsteinsdottir U, Tönjes A, Tremblay J, Uitterlinden AG, van der Harst P, Verweij N, Vogelezang S, Völker U, Waldenberger M, Wang C, Wilson OD, Wong C, Wong TY, Yang Q, Yasuda M, Akilesh S, Bochud M, Böger CA, Devuyst O, Edwards TL, Ho K, Morris AP, Parsa A, Pendergrass SA, Psaty BM, Rotter JI, Stefansson K, Wilson JG, Susztak K, Snieder H, Heid IM, Scholz M, Butterworth AS, Hung AM, Pattaro C, and Köttgen A

Subjects
Animals, Creatinine urine, Diabetes Mellitus genetics, Diabetes Mellitus urine, Drosophila melanogaster genetics, Gene Expression Regulation, Genetic Loci, Genetic Predisposition to Disease, Humans, Phenomics, Risk Factors, Albuminuria genetics, Chromosome Mapping, Genome-Wide Association Study, Meta-Analysis as Topic
Abstract

Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.

Published
2019
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16. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes.

Author

Franceschini N, Giambartolomei C, de Vries PS, Finan C, Bis JC, Huntley RP, Lovering RC, Tajuddin SM, Winkler TW, Graff M, Kavousi M, Dale C, Smith AV, Hofer E, van Leeuwen EM, Nolte IM, Lu L, Scholz M, Sargurupremraj M, Pitkänen N, Franzén O, Joshi PK, Noordam R, Marioni RE, Hwang SJ, Musani SK, Schminke U, Palmas W, Isaacs A, Correa A, Zonderman AB, Hofman A, Teumer A, Cox AJ, Uitterlinden AG, Wong A, Smit AJ, Newman AB, Britton A, Ruusalepp A, Sennblad B, Hedblad B, Pasaniuc B, Penninx BW, Langefeld CD, Wassel CL, Tzourio C, Fava C, Baldassarre D, O'Leary DH, Teupser D, Kuh D, Tremoli E, Mannarino E, Grossi E, Boerwinkle E, Schadt EE, Ingelsson E, Veglia F, Rivadeneira F, Beutner F, Chauhan G, Heiss G, Snieder H, Campbell H, Völzke H, Markus HS, Deary IJ, Jukema JW, de Graaf J, Price J, Pott J, Hopewell JC, Liang J, Thiery J, Engmann J, Gertow K, Rice K, Taylor KD, Dhana K, Kiemeney LALM, Lind L, Raffield LM, Launer LJ, Holdt LM, Dörr M, Dichgans M, Traylor M, Sitzer M, Kumari M, Kivimaki M, Nalls MA, Melander O, Raitakari O, Franco OH, Rueda-Ochoa OL, Roussos P, Whincup PH, Amouyel P, Giral P, Anugu P, Wong Q, Malik R, Rauramaa R, Burkhardt R, Hardy R, Schmidt R, de Mutsert R, Morris RW, Strawbridge RJ, Wannamethee SG, Hägg S, Shah S, McLachlan S, Trompet S, Seshadri S, Kurl S, Heckbert SR, Ring S, Harris TB, Lehtimäki T, Galesloot TE, Shah T, de Faire U, Plagnol V, Rosamond WD, Post W, Zhu X, Zhang X, Guo X, Saba Y, Dehghan A, Seldenrijk A, Morrison AC, Hamsten A, Psaty BM, van Duijn CM, Lawlor DA, Mook-Kanamori DO, Bowden DW, Schmidt H, Wilson JF, Wilson JG, Rotter JI, Wardlaw JM, Deanfield J, Halcox J, Lyytikäinen LP, Loeffler M, Evans MK, Debette S, Humphries SE, Völker U, Gudnason V, Hingorani AD, Björkegren JLM, Casas JP, and O'Donnell CJ

Subjects
ADAMTS9 Protein genetics, Amino Acid Oxidoreductases genetics, Coronary Disease pathology, Humans, Lod Score, Plaque, Atherosclerotic pathology, Polymorphism, Single Nucleotide, Protein-Lysine 6-Oxidase, Quantitative Trait Loci genetics, Risk Factors, Carotid Intima-Media Thickness, Coronary Disease genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Plaque, Atherosclerotic genetics
Abstract

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

Published
2018
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17. Genome-wide meta-analysis identifies novel determinants of circulating serum progranulin.

Author

Tönjes A, Scholz M, Krüger J, Krause K, Schleinitz D, Kirsten H, Gebhardt C, Marzi C, Grallert H, Ladenvall C, Heyne H, Laurila E, Kriebel J, Meisinger C, Rathmann W, Gieger C, Groop L, Prokopenko I, Isomaa B, Beutner F, Kratzsch J, Fischer-Rosinsky A, Pfeiffer A, Krohn K, Spranger J, Thiery J, Blüher M, Stumvoll M, and Kovacs P

Subjects
Animals, Genotype, Humans, Leukocytes, Mononuclear metabolism, Mice, Phosphoproteins genetics, Phosphoproteins metabolism, Polymorphism, Single Nucleotide genetics, RNA, Messenger metabolism, Genome-Wide Association Study methods, Progranulins blood
Abstract

Progranulin is a secreted protein with important functions in processes including immune and inflammatory response, metabolism and embryonic development. The present study aimed at identification of genetic factors determining progranulin concentrations. We conducted a genome-wide association meta-analysis for serum progranulin in three independent cohorts from Europe: Sorbs (N = 848) and KORA (N = 1628) from Germany and PPP-Botnia (N = 335) from Finland (total N = 2811). Single nucleotide polymorphisms (SNPs) associated with progranulin levels were replicated in two additional German cohorts: LIFE-Heart Study (Leipzig; N = 967) and Metabolic Syndrome Berlin Potsdam (Berlin cohort; N = 833). We measured mRNA expression of genes in peripheral blood mononuclear cells (PBMC) by micro-arrays and performed mRNA expression quantitative trait and expression-progranulin association studies to functionally substantiate identified loci. Finally, we conducted siRNA silencing experiments in vitro to validate potential candidate genes within the associated loci. Heritability of circulating progranulin levels was estimated at 31.8% and 26.1% in the Sorbs and LIFE-Heart cohort, respectively. SNPs at three loci reached study-wide significance (rs660240 in CELSR2-PSRC1-MYBPHL-SORT1, rs4747197 in CDH23-PSAP and rs5848 in GRN) explaining 19.4%/15.0% of the variance and 61%/57% of total heritability in the Sorbs/LIFE-Heart Study. The strongest evidence for association was at rs660240 (P = 5.75 × 10-50), which was also associated with mRNA expression of PSRC1 in PBMC (P = 1.51 × 10-21). Psrc1 knockdown in murine preadipocytes led to a consecutive 30% reduction in progranulin secretion. In conclusion, the present meta-GWAS combined with mRNA expression identified three loci associated with progranulin and supports the role of PSRC1 in the regulation of progranulin secretion., (© The Author(s) 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Published
2018
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18. Genome-wide association analysis of actigraphic sleep phenotypes in the LIFE Adult Study.

Author

Spada J, Scholz M, Kirsten H, Hensch T, Horn K, Jawinski P, Ulke C, Burkhardt R, Wirkner K, Loeffler M, Hegerl U, and Sander C

Subjects
Adult, Aged, Casein Kinase II genetics, Circadian Rhythm genetics, Female, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Rest, Self Report, Ubiquitin-Protein Ligases genetics, Actigraphy, Genome-Wide Association Study, Sleep genetics, Sleep physiology
Abstract

The genetic basis of sleep is still poorly understood. Despite the moderate to high heritability of sleep-related phenotypes, known genetic variants explain only a small proportion of the phenotypical variance. However, most previous studies were based solely upon self-report measures. The present study aimed to conduct the first genome-wide association (GWA) of actigraphic sleep phenotypes. The analyses included 956 middle- to older-aged subjects (40-79 years) from the LIFE Adult Study. The SenseWear Pro 3 Armband was used to collect 11 actigraphic parameters of night- and daytime sleep and three parameters of rest (lying down). The parameters comprised measures of sleep timing, quantity and quality. A total of 7 141 204 single nucleotide polymorphisms (SNPs) were analysed after imputation and quality control. We identified several variants below the significance threshold of P ≤ 5× 10 -8 (not corrected for analysis of multiple traits). The most significant was a hit near UFL1 associated with sleep efficiency on weekdays (P = 1.39 × 10 -8 ). Further SNPs were close to significance, including an association between sleep latency and a variant in CSNK2A1 (P = 8.20 × 10 -8 ), a gene known to be involved in the regulation of circadian rhythm. In summary, our GWAS identified novel candidate genes with biological plausibility being promising candidates for replication and further follow-up studies., (© 2016 European Sleep Research Society.)

Published
2016
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19. A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.

Author

Nikpay M, Goel A, Won HH, Hall LM, Willenborg C, Kanoni S, Saleheen D, Kyriakou T, Nelson CP, Hopewell JC, Webb TR, Zeng L, Dehghan A, Alver M, Armasu SM, Auro K, Bjonnes A, Chasman DI, Chen S, Ford I, Franceschini N, Gieger C, Grace C, Gustafsson S, Huang J, Hwang SJ, Kim YK, Kleber ME, Lau KW, Lu X, Lu Y, Lyytikäinen LP, Mihailov E, Morrison AC, Pervjakova N, Qu L, Rose LM, Salfati E, Saxena R, Scholz M, Smith AV, Tikkanen E, Uitterlinden A, Yang X, Zhang W, Zhao W, de Andrade M, de Vries PS, van Zuydam NR, Anand SS, Bertram L, Beutner F, Dedoussis G, Frossard P, Gauguier D, Goodall AH, Gottesman O, Haber M, Han BG, Huang J, Jalilzadeh S, Kessler T, König IR, Lannfelt L, Lieb W, Lind L, Lindgren CM, Lokki ML, Magnusson PK, Mallick NH, Mehra N, Meitinger T, Memon FU, Morris AP, Nieminen MS, Pedersen NL, Peters A, Rallidis LS, Rasheed A, Samuel M, Shah SH, Sinisalo J, Stirrups KE, Trompet S, Wang L, Zaman KS, Ardissino D, Boerwinkle E, Borecki IB, Bottinger EP, Buring JE, Chambers JC, Collins R, Cupples LA, Danesh J, Demuth I, Elosua R, Epstein SE, Esko T, Feitosa MF, Franco OH, Franzosi MG, Granger CB, Gu D, Gudnason V, Hall AS, Hamsten A, Harris TB, Hazen SL, Hengstenberg C, Hofman A, Ingelsson E, Iribarren C, Jukema JW, Karhunen PJ, Kim BJ, Kooner JS, Kullo IJ, Lehtimäki T, Loos RJF, Melander O, Metspalu A, März W, Palmer CN, Perola M, Quertermous T, Rader DJ, Ridker PM, Ripatti S, Roberts R, Salomaa V, Sanghera DK, Schwartz SM, Seedorf U, Stewart AF, Stott DJ, Thiery J, Zalloua PA, O'Donnell CJ, Reilly MP, Assimes TL, Thompson JR, Erdmann J, Clarke R, Watkins H, Kathiresan S, McPherson R, Deloukas P, Schunkert H, Samani NJ, and Farrall M

Subjects
Humans, Phenotype, Coronary Artery Disease genetics, Genome, Human, Genome-Wide Association Study
Abstract

Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate causal genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size.

Published
2015
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20. Integration of Genome-Wide SNP Data and Gene-Expression Profiles Reveals Six Novel Loci and Regulatory Mechanisms for Amino Acids and Acylcarnitines in Whole Blood.

Author

Burkhardt R, Kirsten H, Beutner F, Holdt LM, Gross A, Teren A, Tönjes A, Becker S, Krohn K, Kovacs P, Stumvoll M, Teupser D, Thiery J, Ceglarek U, and Scholz M

Subjects
Carnitine blood, Cohort Studies, Disease genetics, Humans, Quantitative Trait Loci, Amino Acids blood, Carnitine analogs & derivatives, Gene Expression Profiling, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract

Profiling amino acids and acylcarnitines in whole blood spots is a powerful tool in the laboratory diagnosis of several inborn errors of metabolism. Emerging data suggests that altered blood levels of amino acids and acylcarnitines are also associated with common metabolic diseases in adults. Thus, the identification of common genetic determinants for blood metabolites might shed light on pathways contributing to human physiology and common diseases. We applied a targeted mass-spectrometry-based method to analyze whole blood concentrations of 96 amino acids, acylcarnitines and pathway associated metabolite ratios in a Central European cohort of 2,107 adults and performed genome-wide association (GWA) to identify genetic modifiers of metabolite concentrations. We discovered and replicated six novel loci associated with blood levels of total acylcarnitine, arginine (both on chromosome 6; rs12210538, rs17657775), propionylcarnitine (chromosome 10; rs12779637), 2-hydroxyisovalerylcarnitine (chromosome 21; rs1571700), stearoylcarnitine (chromosome 1; rs3811444), and aspartic acid traits (chromosome 8; rs750472). Based on an integrative analysis of expression quantitative trait loci in blood mononuclear cells and correlations between gene expressions and metabolite levels, we provide evidence for putative causative genes: SLC22A16 for total acylcarnitines, ARG1 for arginine, HLCS for 2-hydroxyisovalerylcarnitine, JAM3 for stearoylcarnitine via a trans-effect at chromosome 1, and PPP1R16A for aspartic acid traits. Further, we report replication and provide additional functional evidence for ten loci that have previously been published for metabolites measured in plasma, serum or urine. In conclusion, our integrative analysis of SNP, gene-expression and metabolite data points to novel genetic factors that may be involved in the regulation of human metabolism. At several loci, we provide evidence for metabolite regulation via gene-expression and observed overlaps with GWAS loci for common diseases. These results form a strong rationale for subsequent functional and disease-related studies.

Published
2015
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21. Impact of genetic similarity on imputation accuracy.

Author

Roshyara NR and Scholz M

Subjects
Algorithms, Datasets as Topic, Evolution, Molecular, Genetics, Population, Humans, Models, Genetic, Polymorphism, Single Nucleotide, Reproducibility of Results, Genome-Wide Association Study, Genomics methods, Software
Abstract

Background: Genotype imputation is a common technique in genetic research. Genetic similarity between target population and reference dataset is crucial for high-quality results. Although several reference panels are available, it is often not clear which is the most optimal for a particular target dataset to be imputed. Maximizing genetic similarity between study sample and intended reference panels may be the straight forward method for selecting the genetically best-matched reference. However, the impact of genetic similarity on imputation accuracy has not yet been studied in detail., Results: We performed a simulation study in 20 ethnic groups obtained from POPRES. High-quality SNPs were masked and re-imputed with MaCH, MaCH-minimac and IMPUTE2 using four different HapMap reference panels (CEU, CHB-JPT, MEX and YRI). Imputation accuracy was assessed by different statistics. Genetic similarity between ethnic groups and reference populations were measured by F -statistics (F(ST)) originally proposed by Wright and G -statistics (G(ST)) introduced by Nei and others. To assess the predictive power of these measures regarding imputation accuracy, we analysed relations between them and corresponding imputation accuracy scores. We found that population genetic distances between homogeneous reference and target populations were strongly linearly correlated with resulting imputation accuracies irrespective of considered distance measure, imputation accuracy measure, missingness and imputation software used. Possible exception was African population., Conclusion: Usage of G(ST) or F(ST)-related measures for predicting the optimal reference panel for imputation frameworks relying on a specific reference is highly recommended. A cut-off of G(ST) < 0.01 is recommended to achieve good imputation results for high-frequency variants and small data sets. The linear relationship is less pronounced for low-frequency variants for which we also observed a dependence of imputation accuracy on the number of polymorphic sites in the reference. We also show that the software specific measures MaCH-Rsq and IMPUTE-info must be interpreted with caution if the genetic distance of target and reference population is high.

Published
2015
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22. Indications for potential parent-of-origin effects within the FTO gene.

Author

Liu X, Hinney A, Scholz M, Scherag A, Tönjes A, Stumvoll M, Stadler PF, Hebebrand J, and Böttcher Y

Subjects
Adult, Alleles, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Body Mass Index, Comorbidity, Family, Female, Genotype, Germany, Humans, Introns, Linkage Disequilibrium, Male, Middle Aged, Obesity epidemiology, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Genome-Wide Association Study, Obesity genetics, Proteins genetics
Abstract

Genome-Wide Association Studies (GWAS) were successfully applied to discover associations with obesity. However, the GWAS design is usually based on unrelated individuals and inheritance information on the parental origin of the alleles is missing. Taking into account parent-of-origin may provide further insights into the genetic mechanisms contributing to obesity. We hypothesized that there may be variants within the robustly replicated fat mass and obesity associated (FTO) gene that may confer different risk for obesity depending on transmission from mother or father. Genome-wide genotypes and pedigree information from the Sorbs population were used. Phased genotypes among 525 individuals were generated by AlphaImpute. Subsequently, 22 SNPs within FTO introns 1 to 3 were selected and parent-of-origin specific association analyses were performed using PLINK. Interestingly, we identified several SNPs conferring different genetic effects (P≤0.05) depending on parental origin--among them, rs1861868, rs1121980 and rs9939973 (all in intron 1). To confirm our findings, we investigated the selected variants in 705 German trios comprising an (extremely) obese child or adolescent and both parents. Again, we observed evidence for POE effects in intron 2 and 3 (P≤0.05) as indicated by the parental asymmetry test. Our results suggest that the obesity risk transmitted by several FTO variants may depend on the parental origin of the allele. Larger family-based studies are warranted to replicate our findings.

Published
2015
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23. fcGENE: a versatile tool for processing and transforming SNP datasets.

Author

Roshyara NR and Scholz M

Subjects
Algorithms, Genotype, Humans, Reproducibility of Results, Computational Biology methods, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide, Software
Abstract

Background: Modern analysis of high-dimensional SNP data requires a number of biometrical and statistical methods such as pre-processing, analysis of population structure, association analysis and genotype imputation. Software used for these purposes often rely on specific and incompatible input and output data formats. Therefore extensive data management including multiple format conversions is necessary during analyses., Methods: In order to support fast and efficient management and bio-statistical quality control of high-dimensional SNP data, we developed the publically available software fcGENE using C++ object-oriented programming language. This software simplifies and automates the use of different existing analysis packages, especially during the workflow of genotype imputations and corresponding analyses., Results: fcGENE transforms SNP data and imputation results into different formats required for a large variety of analysis packages such as PLINK, SNPTEST, HAPLOVIEW, EIGENSOFT, GenABEL and tools used for genotype imputation such as MaCH, IMPUTE, BEAGLE and others. Data Management tasks like merging, splitting, extracting SNP and pedigree information can be performed. fcGENE also supports a number of bio-statistical quality control processes and quality based filtering processes at SNP- and sample-wise level. The tool also generates templates of commands required to run specific software packages, especially those required for genotype imputation. We demonstrate the functionality of fcGENE by example workflows of SNP data analyses and provide a comprehensive manual of commands, options and applications., Conclusions: We have developed a user-friendly open-source software fcGENE, which comprehensively supports SNP data management, quality control and analysis workflows. Download statistics and corresponding feedbacks indicate that software is highly recognised and extensively applied by the scientific community.

Published
2014
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24. A Genome-Wide Association Study Suggests Novel Loci Associated with a Schizophrenia-Related Brain-Based Phenotype.

Author

Hass J, Walton E, Kirsten H, Liu J, Priebe L, Wolf C, Karbalai N, Gollub R, White T, Roessner V, Müller KU, Paus T, Smolka MN, Schumann G, Scholz M, Cichon S, Calhoun V, and Ehrlich S

Subjects
Adolescent, Female, Gene Expression Profiling, Humans, Male, Gene Expression Regulation, Genetic Loci, Genome-Wide Association Study, Hippocampus diagnostic imaging, Hippocampus metabolism, Polymorphism, Single Nucleotide, Schizophrenia diagnostic imaging, Schizophrenia genetics, Schizophrenia metabolism
Abstract

Patients with schizophrenia and their siblings typically show subtle changes of brain structures, such as a reduction of hippocampal volume. Hippocampal volume is heritable, may explain a variety of cognitive symptoms of schizophrenia and is thus considered an intermediate phenotype for this mental illness. The aim of our analyses was to identify single-nucleotide polymorphisms (SNP) related to hippocampal volume without making prior assumptions about possible candidate genes. In this study, we combined genetics, imaging and neuropsychological data obtained from the Mind Clinical Imaging Consortium study of schizophrenia (n = 328). A total of 743,591 SNPs were tested for association with hippocampal volume in a genome-wide association study. Gene expression profiles of human hippocampal tissue were investigated for gene regions of significantly associated SNPs. None of the genetic markers reached genome-wide significance. However, six highly correlated SNPs (rs4808611, rs35686037, rs12982178, rs1042178, rs10406920, rs8170) on chromosome 19p13.11, located within or in close proximity to the genes NR2F6, USHBP1, and BABAM1, as well as four SNPs in three other genomic regions (chromosome 1, 2 and 10) had p-values between 6.75×10(-6) and 8.3×10(-7). Using existing data of a very recently published GWAS of hippocampal volume and additional data of a multicentre study in a large cohort of adolescents of European ancestry, we found supporting evidence for our results. Furthermore, allelic differences in rs4808611 and rs8170 were highly associated with differential mRNA expression in the cis-acting region. Associations with memory functioning indicate a possible functional importance of the identified risk variants. Our findings provide new insights into the genetic architecture of a brain structure closely linked to schizophrenia. In silico replication, mRNA expression and cognitive data provide additional support for the relevance of our findings. Identification of causal variants and their functional effects may unveil yet unknown players in the neurodevelopment and the pathogenesis of neuropsychiatric disorders.

Published
2013
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25. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake

Author

Williamson, Alice, Norris, Dougall M, Yin, Xianyong, Broadaway, K Alaine, Moxley, Anne H, Vadlamudi, Swarooparani, Wilson, Emma P, Jackson, Anne U, Ahuja, Vasudha, Andersen, Mette K, Arzumanyan, Zorayr, Bonnycastle, Lori L, Bornstein, Stefan R, Bretschneider, Maxi P, Buchanan, Thomas A, Chang, Yi-Cheng, Chuang, Lee-Ming, Chung, Ren-Hua, Clausen, Tine D, Damm, Peter, Delgado, Graciela E, de Mello, Vanessa D, Dupuis, Josée, Dwivedi, Om P, Erdos, Michael R, Silva, Lilian Fernandes, Frayling, Timothy M, Gieger, Christian, Goodarzi, Mark O, Guo, Xiuqing, Gustafsson, Stefan, Hakaste, Liisa, Hammar, Ulf, Hatem, Gad, Herrmann, Sandra, Højlund, Kurt, Horn, Katrin, Hsueh, Willa A, Hung, Yi-Jen, Hwu, Chii-Min, Jonsson, Anna, Kårhus, Line L, Kleber, Marcus E, Kovacs, Peter, Lakka, Timo A, Lauzon, Marie, Lee, I-Te, Lindgren, Cecilia M, Lindström, Jaana, Linneberg, Allan, Liu, Ching-Ti, Luan, Jian’an, Aly, Dina Mansour, Mathiesen, Elisabeth, Moissl, Angela P, Morris, Andrew P, Narisu, Narisu, Perakakis, Nikolaos, Peters, Annette, Prasad, Rashmi B, Rodionov, Roman N, Roll, Kathryn, Rundsten, Carsten F, Sarnowski, Chloé, Savonen, Kai, Scholz, Markus, Sharma, Sapna, Stinson, Sara E, Suleman, Sufyan, Tan, Jingyi, Taylor, Kent D, Uusitupa, Matti, Vistisen, Dorte, Witte, Daniel R, Walther, Romy, Wu, Peitao, Xiang, Anny H, Zethelius, Björn, Ahlqvist, Emma, Bergman, Richard N, Chen, Yii-Der Ida, Collins, Francis S, Fall, Tove, Florez, Jose C, Fritsche, Andreas, Grallert, Harald, Groop, Leif, Hansen, Torben, Koistinen, Heikki A, Komulainen, Pirjo, Laakso, Markku, Lind, Lars, Loeffler, Markus, März, Winfried, Meigs, James B, Raffel, Leslie J, Rauramaa, Rainer, Rotter, Jerome I, Schwarz, Peter EH, and Stumvoll, Michael

Subjects
Biochemistry and Cell Biology, Genetics, Biological Sciences, Diabetes, Clinical Research, Human Genome, Prevention, Nutrition, 2.1 Biological and endogenous factors, Aetiology, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, Metabolic and endocrine, Humans, Insulin, Genome-Wide Association Study, Insulin Resistance, Diabetes Mellitus, Type 2, Glucose, Blood Glucose, Meta-Analysis of Glucose and Insulin-related Traits Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P

Published
2023

26. Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2

Author

Pott, Janne, Gadin, Jesper, Theusch, Elizabeth, Kleber, Marcus E, Delgado, Graciela E, Kirsten, Holger, Hauck, Stefanie M, Burkhardt, Ralph, Scharnagl, Hubert, Krauss, Ronald M, Loeffler, Markus, März, Winfried, Thiery, Joachim, Silveira, Angela, Hooft, Ferdinand M Vant, and Scholz, Markus

Subjects
Digestive Diseases, Heart Disease, Atherosclerosis, Human Genome, Genetics, Cardiovascular, Heart Disease - Coronary Heart Disease, 2.1 Biological and endogenous factors, Aetiology, Apolipoproteins B, Cholesterol, LDL, Coronary Artery Disease, Genome-Wide Association Study, Humans, Membrane Proteins, Proprotein Convertase 9, Receptors, LDL, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

BackgroundProprotein convertase subtilisin/kexin type 9 (PCSK9) is a key player in lipid metabolism, as it degrades low-density lipoprotein (LDL) receptors from hepatic cell membranes. So far, only variants of the PCSK9 gene locus were found to be associated with PCSK9 levels. Here we aimed to identify novel genetic loci that regulate PCSK9 levels and how they relate to other lipid traits. Additionally, we investigated to what extend the causal effect of PCSK9 on coronary artery disease (CAD) is mediated by low-density lipoprotein-cholesterol (LDL-C).Methods and resultsWe performed a genome-wide association study meta-analysis of PCSK9 levels in up to 12 721 samples of European ancestry. The estimated heritability was 10.3%, which increased to 12.6% using only samples from patients without statin treatment. We successfully replicated the known PCSK9 hit consisting of three independent signals. Interestingly, in a study of 300 African Americans, we confirmed the locus with a different PCSK9 variant. Beyond PCSK9, our meta-analysis detected three novel loci with genome-wide significance. Co-localization analysis with cis-eQTLs and lipid traits revealed biologically plausible candidate genes at two of them: APOB and TM6SF2. In a bivariate Mendelian Randomization analysis, we detected a strong effect of PCSK9 on LDL-C, but not vice versa. LDL-C mediated 63% of the total causal effect of PCSK9 on CAD.ConclusionOur study identified novel genetic loci with plausible candidate genes affecting PCSK9 levels. Ethnic heterogeneity was observed at the PCSK9 locus itself. Although the causal effect of PCSK9 on CAD is mainly mediated by LDL-C, an independent direct effect also occurs.

Published
2022

27. Genome-wide analysis identifies novel susceptibility loci for myocardial infarction

Author

Hartiala, Jaana A, Han, Yi, Jia, Qiong, Hilser, James R, Huang, Pin, Gukasyan, Janet, Schwartzman, William S, Cai, Zhiheng, Biswas, Subarna, Trégouët, David-Alexandre, Smith, Nicholas L, Consortium, The INVENT, Group, The CHARGE Consortium Hemostasis Working, Consortium, The GENIUS-CHD, Seldin, Marcus, Pan, Calvin, Mehrabian, Margarete, Lusis, Aldons J, Bazeley, Peter, Sun, Yan V, Liu, Chang, Quyyumi, Arshed A, Scholz, Markus, Thiery, Joachim, Delgado, Graciela E, Kleber, Marcus E, März, Winfried, Howe, Laurence J, Asselbergs, Folkert W, van Vugt, Marion, Vlachojannis, Georgios J, Patel, Riyaz S, Lyytikäinen, Leo-Pekka, Kähönen, Mika, Lehtimäki, Terho, Nieminen, Tuomo VM, Kuukasjärvi, Pekka, Laurikka, Jari O, Chang, Xuling, Heng, Chew-Kiat, Jiang, Rong, Kraus, William E, Hauser, Elizabeth R, Ferguson, Jane F, Reilly, Muredach P, Ito, Kaoru, Koyama, Satoshi, Kamatani, Yoichiro, Komuro, Issei, Japan, Biobank, Stolze, Lindsey K, Romanoski, Casey E, Khan, Mohammad Daud, Turner, Adam W, Miller, Clint L, Aherrahrou, Redouane, Civelek, Mete, Ma, Lijiang, Björkegren, Johan LM, Kumar, S Ram, Tang, WH Wilson, Hazen, Stanley L, and Allayee, Hooman

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Cardiovascular, Heart Disease, Clinical Research, Heart Disease - Coronary Heart Disease, Human Genome, Genetics, Aging, Atherosclerosis, Aetiology, 2.1 Biological and endogenous factors, Coronary Artery Disease, Endothelial Cells, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Japan, Myocardial Infarction, Polymorphism, Single Nucleotide, Risk Factors, Myocardial infarction, Genetic factors, Genome-wide association study, Meta-analysis, SLC44A3, INVENT Consortium, CHARGE Consortium Hemostasis Working Group, GENIUS-CHD Consortium, Biobank Japan, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

AimsWhile most patients with myocardial infarction (MI) have underlying coronary atherosclerosis, not all patients with coronary artery disease (CAD) develop MI. We sought to address the hypothesis that some of the genetic factors which establish atherosclerosis may be distinct from those that predispose to vulnerable plaques and thrombus formation.Methods and resultsWe carried out a genome-wide association study for MI in the UK Biobank (n∼472 000), followed by a meta-analysis with summary statistics from the CARDIoGRAMplusC4D Consortium (n∼167 000). Multiple independent replication analyses and functional approaches were used to prioritize loci and evaluate positional candidate genes. Eight novel regions were identified for MI at the genome wide significance level, of which effect sizes at six loci were more robust for MI than for CAD without the presence of MI. Confirmatory evidence for association of a locus on chromosome 1p21.3 harbouring choline-like transporter 3 (SLC44A3) with MI in the context of CAD, but not with coronary atherosclerosis itself, was obtained in Biobank Japan (n∼165 000) and 16 independent angiography-based cohorts (n∼27 000). Follow-up analyses did not reveal association of the SLC44A3 locus with CAD risk factors, biomarkers of coagulation, other thrombotic diseases, or plasma levels of a broad array of metabolites, including choline, trimethylamine N-oxide, and betaine. However, aortic expression of SLC44A3 was increased in carriers of the MI risk allele at chromosome 1p21.3, increased in ischaemic (vs. non-diseased) coronary arteries, up-regulated in human aortic endothelial cells treated with interleukin-1β (vs. vehicle), and associated with smooth muscle cell migration in vitro.ConclusionsA large-scale analysis comprising ∼831 000 subjects revealed novel genetic determinants of MI and implicated SLC44A3 in the pathophysiology of vulnerable plaques.

Published
2021

28. Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

Author

Armstrong, Nicola J, Mather, Karen A, Sargurupremraj, Muralidharan, Knol, Maria J, Malik, Rainer, Satizabal, Claudia L, Yanek, Lisa R, Wen, Wei, Gudnason, Vilmundur G, Dueker, Nicole D, Elliott, Lloyd T, Hofer, Edith, Bis, Joshua, Jahanshad, Neda, Li, Shuo, Logue, Mark A, Luciano, Michelle, Scholz, Markus, Smith, Albert V, Trompet, Stella, Vojinovic, Dina, Xia, Rui, Alfaro-Almagro, Fidel, Ames, David, Amin, Najaf, Amouyel, Philippe, Beiser, Alexa S, Brodaty, Henry, Deary, Ian J, Fennema-Notestine, Christine, Gampawar, Piyush G, Gottesman, Rebecca, Griffanti, Ludovica, Jack, Clifford R, Jenkinson, Mark, Jiang, Jiyang, Kral, Brian G, Kwok, John B, Lampe, Leonie, C.M. Liewald, David, Maillard, Pauline, Marchini, Jonathan, Bastin, Mark E, Mazoyer, Bernard, Pirpamer, Lukas, Rafael Romero, José, Roshchupkin, Gennady V, Schofield, Peter R, Schroeter, Matthias L, Stott, David J, Thalamuthu, Anbupalam, Trollor, Julian, Tzourio, Christophe, van der Grond, Jeroen, Vernooij, Meike W, Witte, Veronica A, Wright, Margaret J, Yang, Qiong, Morris, Zoe, Siggurdsson, Siggi, Psaty, Bruce, Villringer, Arno, Schmidt, Helena, Haberg, Asta K, van Duijn, Cornelia M, Jukema, J Wouter, Dichgans, Martin, Sacco, Ralph L, Wright, Clinton B, Kremen, William S, Becker, Lewis C, Thompson, Paul M, Mosley, Thomas H, Wardlaw, Joanna M, Ikram, M Arfan, Adams, Hieab HH, Seshadri, Sudha, Sachdev, Perminder S, Smith, Stephen M, Launer, Lenore, Longstreth, William, DeCarli, Charles, Schmidt, Reinhold, Fornage, Myriam, Debette, Stephanie, and Nyquist, Paul A

Subjects
Epidemiology, Health Sciences, Brain Disorders, Biotechnology, Neurosciences, Cerebrovascular, Stroke, Neurodegenerative, Dementia, Vascular Cognitive Impairment/Dementia, Alzheimer's Disease Related Dementias (ADRD), Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Aging, Genetics, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aged, Brain, Cerebral Small Vessel Diseases, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, White Matter, brain, genome-wide association study, neuroimaging, risk factors, white matter, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurology & Neurosurgery, Clinical sciences, Allied health and rehabilitation science
Abstract

Background and purposePeriventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings.MethodsParticipants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC.ResultsIn the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 (NBEAL), 10q23.1 (TSPAN14/FAM231A), and 10q24.33 (SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 (NOS3) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype.ConclusionsOur study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.

Published
2020

29. Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume.

Author

Vojinovic, Dina, Adams, Hieab H, Jian, Xueqiu, Yang, Qiong, Smith, Albert Vernon, Bis, Joshua C, Teumer, Alexander, Scholz, Markus, Armstrong, Nicola J, Hofer, Edith, Saba, Yasaman, Luciano, Michelle, Bernard, Manon, Trompet, Stella, Yang, Jingyun, Gillespie, Nathan A, van der Lee, Sven J, Neumann, Alexander, Ahmad, Shahzad, Andreassen, Ole A, Ames, David, Amin, Najaf, Arfanakis, Konstantinos, Bastin, Mark E, Becker, Diane M, Beiser, Alexa S, Beyer, Frauke, Brodaty, Henry, Bryan, R Nick, Bülow, Robin, Dale, Anders M, De Jager, Philip L, Deary, Ian J, DeCarli, Charles, Fleischman, Debra A, Gottesman, Rebecca F, van der Grond, Jeroen, Gudnason, Vilmundur, Harris, Tamara B, Homuth, Georg, Knopman, David S, Kwok, John B, Lewis, Cora E, Li, Shuo, Loeffler, Markus, Lopez, Oscar L, Maillard, Pauline, El Marroun, Hanan, Mather, Karen A, Mosley, Thomas H, Muetzel, Ryan L, Nauck, Matthias, Nyquist, Paul A, Panizzon, Matthew S, Pausova, Zdenka, Psaty, Bruce M, Rice, Ken, Rotter, Jerome I, Royle, Natalie, Satizabal, Claudia L, Schmidt, Reinhold, Schofield, Peter R, Schreiner, Pamela J, Sidney, Stephen, Stott, David J, Thalamuthu, Anbupalam, Uitterlinden, Andre G, Valdés Hernández, Maria C, Vernooij, Meike W, Wen, Wei, White, Tonya, Witte, A Veronica, Wittfeld, Katharina, Wright, Margaret J, Yanek, Lisa R, Tiemeier, Henning, Kremen, William S, Bennett, David A, Jukema, J Wouter, Paus, Tomas, Wardlaw, Joanna M, Schmidt, Helena, Sachdev, Perminder S, Villringer, Arno, Grabe, Hans Jörgen, Longstreth, WT, van Duijn, Cornelia M, Launer, Lenore J, Seshadri, Sudha, Ikram, M Arfan, and Fornage, Myriam

Subjects
Lateral Ventricles, Humans, Organ Size, Genome, Human, Aged, Middle Aged, Genome-Wide Association Study, Human Genome, Aging, Genetics, 2.1 Biological and endogenous factors, Neurological
Abstract

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρgenetic = -0.59, p-value = 3.14 × 10-6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.

Published
2018

30. Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals

Author

Winkler, Thomas W., Rasheed, Humaira, Teumer, Alexander, Gorski, Mathias, Rowan, Bryce X., Stanzick, Kira J., Thomas, Laurent F., Tin, Adrienne, Hoppmann, Anselm, Chu, Audrey Y., Tayo, Bamidele, Thio, Chris H. L., Cusi, Daniele, Chai, Jin-Fang, Sieber, Karsten B., Horn, Katrin, Li, Man, Scholz, Markus, Cocca, Massimiliano, Wuttke, Matthias, van der Most, Peter J., Yang, Qiong, Ghasemi, Sahar, Nutile, Teresa, Li, Yong, Pontali, Giulia, Günther, Felix, Dehghan, Abbas, Correa, Adolfo, Parsa, Afshin, Feresin, Agnese, de Vries, Aiko P. J., Zonderman, Alan B., Smith, Albert V., Oldehinkel, Albertine J., De Grandi, Alessandro, Rosenkranz, Alexander R., Franke, Andre, Teren, Andrej, Metspalu, Andres, Hicks, Andrew A., Morris, Andrew P., Tönjes, Anke, Morgan, Anna, Podgornaia, Anna I., Peters, Annette, Körner, Antje, Mahajan, Anubha, Campbell, Archie, Freedman, Barry I., Spedicati, Beatrice, Ponte, Belen, Schöttker, Ben, Brumpton, Ben, Banas, Bernhard, Krämer, Bernhard K., Jung, Bettina, Åsvold, Bjørn Olav, Smith, Blair H., Ning, Boting, Penninx, Brenda W. J. H., Vanderwerff, Brett R., Psaty, Bruce M., Kammerer, Candace M., Langefeld, Carl D., Hayward, Caroline, Spracklen, Cassandra N., Robinson-Cohen, Cassianne, Hartman, Catharina A., Lindgren, Cecilia M., Wang, Chaolong, Sabanayagam, Charumathi, Heng, Chew-Kiat, Lanzani, Chiara, Khor, Chiea-Chuen, Cheng, Ching-Yu, Fuchsberger, Christian, Gieger, Christian, Shaffer, Christian M., Schulz, Christina-Alexandra, Willer, Cristen J., Chasman, Daniel I., Gudbjartsson, Daniel F., Ruggiero, Daniela, Toniolo, Daniela, Czamara, Darina, Porteous, David J., Waterworth, Dawn M., Mascalzoni, Deborah, Mook-Kanamori, Dennis O., Reilly, Dermot F., Daw, E. Warwick, Hofer, Edith, Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P., Tai, E-Shyong, Catamo, Eulalia, Rizzi, Federica, Guo, Feng, Rivadeneira, Fernando, Guilianini, Franco, Sveinbjornsson, Gardar, Ehret, Georg, Waeber, Gerard, Biino, Ginevra, Girotto, Giorgia, Pistis, Giorgio, Nadkarni, Girish N., Delgado, Graciela E., Montgomery, Grant W., Snieder, Harold, Campbell, Harry, White, Harvey D., Gao, He, Stringham, Heather M., Schmidt, Helena, Li, Hengtong, Brenner, Hermann, Holm, Hilma, Kirsten, Holger, Kramer, Holly, Rudan, Igor, Nolte, Ilja M., Tzoulaki, Ioanna, Olafsson, Isleifur, Martins, Jade, Cook, James P., Wilson, James F., Halbritter, Jan, Felix, Janine F., Divers, Jasmin, Kooner, Jaspal S., Lee, Jeannette Jen-Mai, O’Connell, Jeffrey, Rotter, Jerome I., Liu, Jianjun, Xu, Jie, Thiery, Joachim, Ärnlöv, Johan, Kuusisto, Johanna, Jakobsdottir, Johanna, Tremblay, Johanne, Chambers, John C., Whitfield, John B., Gaziano, John M., Marten, Jonathan, Coresh, Josef, Jonas, Jost B., Mychaleckyj, Josyf C., Christensen, Kaare, Eckardt, Kai-Uwe, Mohlke, Karen L., Endlich, Karlhans, Dittrich, Katalin, Ryan, Kathleen A., Rice, Kenneth M., Taylor, Kent D., Ho, Kevin, Nikus, Kjell, Matsuda, Koichi, Strauch, Konstantin, Miliku, Kozeta, Hveem, Kristian, Lind, Lars, Wallentin, Lars, Yerges-Armstrong, Laura M., Raffield, Laura M., Phillips, Lawrence S., Launer, Lenore J., Lyytikäinen, Leo-Pekka, Lange, Leslie A., Citterio, Lorena, Klaric, Lucija, Ikram, M. Arfan, Ising, Marcus, Kleber, Marcus E., Francescatto, Margherita, Concas, Maria Pina, Ciullo, Marina, Piratsu, Mario, Orho-Melander, Marju, Laakso, Markku, Loeffler, Markus, Perola, Markus, de Borst, Martin H., Gögele, Martin, Bianca, Martina La, Lukas, Mary Ann, Feitosa, Mary F., Biggs, Mary L., Wojczynski, Mary K., Kavousi, Maryam, Kanai, Masahiro, Akiyama, Masato, Yasuda, Masayuki, Nauck, Matthias, Waldenberger, Melanie, Chee, Miao-Li, Chee, Miao-Ling, Boehnke, Michael, Preuss, Michael H., Stumvoll, Michael, Province, Michael A., Evans, Michele K., O’Donoghue, Michelle L., Kubo, Michiaki, Kähönen, Mika, Kastarinen, Mika, Nalls, Mike A., Kuokkanen, Mikko, Ghanbari, Mohsen, Bochud, Murielle, Josyula, Navya Shilpa, Martin, Nicholas G., Tan, Nicholas Y. Q., Palmer, Nicholette D., Pirastu, Nicola, Schupf, Nicole, Verweij, Niek, Hutri-Kähönen, Nina, Mononen, Nina, Bansal, Nisha, Devuyst, Olivier, Melander, Olle, Raitakari, Olli T., Polasek, Ozren, Manunta, Paolo, Gasparini, Paolo, Mishra, Pashupati P., Sulem, Patrick, Magnusson, Patrik K. E., Elliott, Paul, Ridker, Paul M., Hamet, Pavel, Svensson, Per O., Joshi, Peter K., Kovacs, Peter, Pramstaller, Peter P., Rossing, Peter, Vollenweider, Peter, van der Harst, Pim, Dorajoo, Rajkumar, Sim, Ralene Z. H., Burkhardt, Ralph, Tao, Ran, Noordam, Raymond, Mägi, Reedik, Schmidt, Reinhold, de Mutsert, Renée, Rueedi, Rico, van Dam, Rob M., Carroll, Robert J., Gansevoort, Ron T., Loos, Ruth J. F., Felicita, Sala Cinzia, Sedaghat, Sanaz, Padmanabhan, Sandosh, Freitag-Wolf, Sandra, Pendergrass, Sarah A., Graham, Sarah E., Gordon, Scott D., Hwang, Shih-Jen, Kerr, Shona M., Vaccargiu, Simona, Patil, Snehal B., Hallan, Stein, Bakker, Stephan J. L., Lim, Su-Chi, Lucae, Susanne, Vogelezang, Suzanne, Bergmann, Sven, Corre, Tanguy, Ahluwalia, Tarunveer S., Lehtimäki, Terho, Boutin, Thibaud S., Meitinger, Thomas, Wong, Tien-Yin, Bergler, Tobias, Rabelink, Ton J., Esko, Tõnu, Haller, Toomas, Thorsteinsdottir, Unnur, Völker, Uwe, Foo, Valencia Hui Xian, Salomaa, Veikko, Vitart, Veronique, Giedraitis, Vilmantas, Gudnason, Vilmundur, Jaddoe, Vincent W. V., Huang, Wei, Zhang, Weihua, Wei, Wen Bin, Kiess, Wieland, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Gao, Xin, Sim, Xueling, Wang, Ya Xing, Friedlander, Yechiel, Tham, Yih-Chung, Kamatani, Yoichiro, Okada, Yukinori, Milaneschi, Yuri, Yu, Zhi, Hung, Adriana M., Stark, Klaus J., Stefansson, Kari, Böger, Carsten A., Kronenberg, Florian, Köttgen, Anna, Pattaro, Cristian, Heid, Iris M., Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, University of Helsinki, CAMM - Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, Research Programs Unit, Tampere University, Clinical Medicine, TAYS Heart Centre, Department of Clinical Chemistry, Department of Clinical Physiology and Nuclear Medicine, Internal Medicine, Pediatrics, Epidemiology, Radiology & Nuclear Medicine, Erasmus MC other, Home Office, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), UK DRI Ltd, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Winkler, Thomas W, Rasheed, Humaira, Teumer, Alexander, Gorski, Mathia, Rowan, Bryce X, Stanzick, Kira J, Thomas, Laurent F, Tin, Adrienne, Hoppmann, Anselm, Chu, Audrey Y, Tayo, Bamidele, Thio, Chris H L, Cusi, Daniele, Chai, Jin-Fang, Sieber, Karsten B, Horn, Katrin, Li, Man, Scholz, Marku, Cocca, Massimiliano, Wuttke, Matthia, van der Most, Peter J, Yang, Qiong, Ghasemi, Sahar, Nutile, Teresa, Li, Yong, Pontali, Giulia, Günther, Felix, Dehghan, Abba, Correa, Adolfo, Parsa, Afshin, Feresin, Agnese, de Vries, Aiko P J, Zonderman, Alan B, Smith, Albert V, Oldehinkel, Albertine J, De Grandi, Alessandro, Rosenkranz, Alexander R, Franke, Andre, Teren, Andrej, Metspalu, Andre, Hicks, Andrew A, Morris, Andrew P, Tönjes, Anke, Morgan, Anna, Podgornaia, Anna I, Peters, Annette, Körner, Antje, Mahajan, Anubha, Campbell, Archie, Freedman, Barry I, Spedicati, Beatrice, Ponte, Belen, Schöttker, Ben, Brumpton, Ben, Banas, Bernhard, Krämer, Bernhard K, Jung, Bettina, Åsvold, Bjørn Olav, Smith, Blair H, Ning, Boting, Penninx, Brenda W J H, Vanderwerff, Brett R, Psaty, Bruce M, Kammerer, Candace M, Langefeld, Carl D, Hayward, Caroline, Spracklen, Cassandra N, Robinson-Cohen, Cassianne, Hartman, Catharina A, Lindgren, Cecilia M, Wang, Chaolong, Sabanayagam, Charumathi, Heng, Chew-Kiat, Lanzani, Chiara, Khor, Chiea-Chuen, Cheng, Ching-Yu, Fuchsberger, Christian, Gieger, Christian, Shaffer, Christian M, Schulz, Christina-Alexandra, Willer, Cristen J, Chasman, Daniel I, Gudbjartsson, Daniel F, Ruggiero, Daniela, Toniolo, Daniela, Czamara, Darina, Porteous, David J, Waterworth, Dawn M, Mascalzoni, Deborah, Mook-Kanamori, Dennis O, Reilly, Dermot F, Daw, E Warwick, Hofer, Edith, Boerwinkle, Eric, Salvi, Erika, Bottinger, Erwin P, Tai, E-Shyong, Catamo, Eulalia, Rizzi, Federica, Guo, Feng, Rivadeneira, Fernando, Guilianini, Franco, Sveinbjornsson, Gardar, Ehret, Georg, Waeber, Gerard, Biino, Ginevra, Girotto, Giorgia, Pistis, Giorgio, Nadkarni, Girish N, Delgado, Graciela E, Montgomery, Grant W, Snieder, Harold, Campbell, Harry, White, Harvey D, Gao, He, Stringham, Heather M, Schmidt, Helena, Li, Hengtong, Brenner, Hermann, Holm, Hilma, Kirsten, Holgen, Kramer, Holly, Rudan, Igor, Nolte, Ilja M, Tzoulaki, Ioanna, Olafsson, Isleifur, Martins, Jade, Cook, James P, Wilson, James F, Halbritter, Jan, Felix, Janine F, Divers, Jasmin, Kooner, Jaspal S, Lee, Jeannette Jen-Mai, O'Connell, Jeffrey, Rotter, Jerome I, Liu, Jianjun, Xu, Jie, Thiery, Joachim, Ärnlöv, Johan, Kuusisto, Johanna, Jakobsdottir, Johanna, Tremblay, Johanne, Chambers, John C, Whitfield, John B, Gaziano, John M, Marten, Jonathan, Coresh, Josef, Jonas, Jost B, Mychaleckyj, Josyf C, Christensen, Kaare, Eckardt, Kai-Uwe, Mohlke, Karen L, Endlich, Karlhan, Dittrich, Katalin, Ryan, Kathleen A, Rice, Kenneth M, Taylor, Kent D, Ho, Kevin, Nikus, Kjell, Matsuda, Koichi, Strauch, Konstantin, Miliku, Kozeta, Hveem, Kristian, Lind, Lar, Wallentin, Lar, Yerges-Armstrong, Laura M, Raffield, Laura M, Phillips, Lawrence S, Launer, Lenore J, Lyytikäinen, Leo-Pekka, Lange, Leslie A, Citterio, Lorena, Klaric, Lucija, Ikram, M Arfan, Ising, Marcu, Kleber, Marcus E, Francescatto, Margherita, Concas, Maria Pina, Ciullo, Marina, Piratsu, Mario, Orho-Melander, Marju, Laakso, Markku, Loeffler, Marku, Perola, Marku, de Borst, Martin H, Gögele, Martin, Bianca, Martina La, Lukas, Mary Ann, Feitosa, Mary F, Biggs, Mary L, Wojczynski, Mary K, Kavousi, Maryam, Kanai, Masahiro, Akiyama, Masato, Yasuda, Masayuki, Nauck, Matthia, Waldenberger, Melanie, Chee, Miao-Li, Chee, Miao-Ling, Boehnke, Michael, Preuss, Michael H, Stumvoll, Michael, Province, Michael A, Evans, Michele K, O'Donoghue, Michelle L, Kubo, Michiaki, Kähönen, Mika, Kastarinen, Mika, Nalls, Mike A, Kuokkanen, Mikko, Ghanbari, Mohsen, Bochud, Murielle, Josyula, Navya Shilpa, Martin, Nicholas G, Tan, Nicholas Y Q, Palmer, Nicholette D, Pirastu, Nicola, Schupf, Nicole, Verweij, Niek, Hutri-Kähönen, Nina, Mononen, Nina, Bansal, Nisha, Devuyst, Olivier, Melander, Olle, Raitakari, Olli T, Polasek, Ozren, Manunta, Paolo, Gasparini, Paolo, Mishra, Pashupati P, Sulem, Patrick, Magnusson, Patrik K E, Elliott, Paul, Ridker, Paul M, Hamet, Pavel, Svensson, Per O, Joshi, Peter K, Kovacs, Peter, Pramstaller, Peter P, Rossing, Peter, Vollenweider, Peter, van der Harst, Pim, Dorajoo, Rajkumar, Sim, Ralene Z H, Burkhardt, Ralph, Tao, Ran, Noordam, Raymond, Mägi, Reedik, Schmidt, Reinhold, de Mutsert, Renée, Rueedi, Rico, van Dam, Rob M, Carroll, Robert J, Gansevoort, Ron T, Loos, Ruth J F, Felicita, Sala Cinzia, Sedaghat, Sanaz, Padmanabhan, Sandosh, Freitag-Wolf, Sandra, Pendergrass, Sarah A, Graham, Sarah E, Gordon, Scott D, Hwang, Shih-Jen, Kerr, Shona M, Vaccargiu, Simona, Patil, Snehal B, Hallan, Stein, Bakker, Stephan J L, Lim, Su-Chi, Lucae, Susanne, Vogelezang, Suzanne, Bergmann, Sven, Corre, Tanguy, Ahluwalia, Tarunveer S, Lehtimäki, Terho, Boutin, Thibaud S, Meitinger, Thoma, Wong, Tien-Yin, Bergler, Tobia, Rabelink, Ton J, Esko, Tõnu, Haller, Tooma, Thorsteinsdottir, Unnur, Völker, Uwe, Foo, Valencia Hui Xian, Salomaa, Veikko, Vitart, Veronique, Giedraitis, Vilmanta, Gudnason, Vilmundur, Jaddoe, Vincent W V, Huang, Wei, Zhang, Weihua, Wei, Wen Bin, Kiess, Wieland, März, Winfried, Koenig, Wolfgang, Lieb, Wolfgang, Gao, Xin, Sim, Xueling, Wang, Ya Xing, Friedlander, Yechiel, Tham, Yih-Chung, Kamatani, Yoichiro, Okada, Yukinori, Milaneschi, Yuri, Yu, Zhi, Stark, Klaus J, Stefansson, Kari, Böger, Carsten A, Hung, Adriana M, Kronenberg, Florian, Köttgen, Anna, Pattaro, Cristian, Heid, Iris M, and Lee Kong Chian School of Medicine (LKCMedicine)

Subjects
Life Sciences & Biomedicine - Other Topics, EXPRESSION, Diabetic Nephropathies/genetics, 610 Medizin, LOCI, Medicine (miscellaneous), EFFICIENT, Lifelines cohort study, Kidney, General Biochemistry, Genetics and Molecular Biology, DISEASE, QUALITY-CONTROL, SDG 3 - Good Health and Well-being, Diabetic Nephropathy, Diabetes Mellitus, Humans, Medicine [Science], Diabetic Nephropathies, GENOME-WIDE ASSOCIATION, Biology, DiscovEHR/MyCode study, METAANALYSIS, Glomerular Filtration Rate/genetics, Medicinsk genetik, ddc:610, Science & Technology, genetic, effects, kidney, diabetic, JOINT, Klinisk medicin, Diabetes Mellitu, 3126 Surgery, anesthesiology, intensive care, radiology, Multidisciplinary Sciences, ENVIRONMENT INTERACTION, Creatinine, VA Million Veteran Program, Science & Technology - Other Topics, 3111 Biomedicine, Clinical Medicine, SMOKING, General Agricultural and Biological Sciences, Life Sciences & Biomedicine, Medical Genetics, Human, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Reduced glomerular filtration rate (GFR) can progress to kidney failure. Risk factors include genetics and diabetes mellitus (DM), but little is known about their interaction. We conducted genome-wide association meta-analyses for estimated GFR based on serum creatinine (eGFR), separately for individuals with or without DM (nDM = 178,691, nnoDM = 1,296,113). Our genome-wide searches identified (i) seven eGFR loci with significant DM/noDM-difference, (ii) four additional novel loci with suggestive difference and (iii) 28 further novel loci (including CUBN) by allowing for potential difference. GWAS on eGFR among DM individuals identified 2 known and 27 potentially responsible loci for diabetic kidney disease. Gene prioritization highlighted 18 genes that may inform reno-protective drug development. We highlight the existence of DM-only and noDM-only effects, which can inform about the target group, if respective genes are advanced as drug targets. Largely shared effects suggest that most drug interventions to alter eGFR should be effective in DM and noDM. Published version The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) supported the meta-analysis—Project-ID 387509280—SFB1350 (Subproject C6 to I.M.H.). A.M.H., B.R., and R.T. were supported by VACSR&D MVP grant CX001897. This research is based on data from the Million Veteran Program, Office of Research and Development, Veterans Health Administration, and was supported by VACSR&D MVP grant CX001897 (A.M.H.). This publication does not represent the views of the Department of Veteran Affairs or the United States Government. We conducted this research using the UK Biobank resource under the application number 20272.

Published
2022
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31. Genetics of early-life head circumference and genetic correlations with neurological, psychiatric and cognitive outcomes

Author

Vogelezang, Suzanne, Bradfield, Jonathan P., Johansson, Stefan, Stergiakouli, Evie, Thiering, Elisabeth, Pennell, Craig E., Ahluwalia, Tarunveer S., Karhunen, Ville, Scholz, Markus, Liu, Xueping, Iñiguez, Carmen, Raitakari, Olli T., Bacelis, Jonas, Schnurr, Theresia M., Lakka, Timo A., Ntalla, Ioanna, Lind, Mads V., Lauritzen, Lotte, Herrala, Sauli, Lin, Frederick T. J., Frithioff-Bøjsøe, Christine, Beaumont, Robin N., Zafarmand, Mohammed H., Rzehak, Peter, Bilbao, Jose R., Junna, Nella, Vonk, Judith M., Rifas-Shiman, Sheryl L., Janjanam, Vimala D., Knol, Maria J., Ramdas, Shweta, Beilin, Lawrie, Bønnelykke, Klaus, Casas, Maribel, Eriksson, Johan G., Escribano, Joaquin, Evans, Tavia E., Gehring, Ulrike, Geller, Frank, Grote, Veit, Gruszfeld, Darek, Hakonarson, Hakon, Hattersley, Andrew T., Have, Christian T., Geoffrey Hayes, M., Heinrich, Joachim, Helgeland, Øvind, Holloway, Jhon, Joro, Raimo, Juodakis, Julius, Knight, Bridget A., Koletzko, Bert, Körner, Antje, Langhendries, Jean-Paul, Leinonen, Jaakko T., Lindi, Virpi, Lund, Morten A. V., Lye, Stephen, Melbye, Mads, Michaelsen, Kim F., Morgen, Camilla S., Niinikoski, Harri, Pahkala, Katja, Panoutsopoulou, Kalliope, Pedersen, Oluf, Rivadeneira, Fernando, Santa-Marina, Loreto, Schaik, Barbera D. C., Scholtens, Denise, Sebert, Sylvain, Tamayo, Ibon, Timpson, Nicholas J., Torrent, Maties, Uitterlinden, André G., Vaudel, Marc, Verduci, Elvira, Vinding, Rebecca, Vogel, Mandy, Zeggini, Eleftheria, Brown, Christopher, Adams, Hieab H. H., Karmaus, Wilfried, Hivert, Marie-France, Koppelman, Gerard H., Widén, Elisabeth, Fernandez-Jimenez, Nora, Waldenberger, Melanie, Vrijkotte, Tanja G. M., Freathy, Rachel M., Holm, Jens-Christian, Lowe, William L., Grarup, Niels, Hansen, Torben, Dedoussis, George V., Atalay, Mustafa, Nohr, Ellen A., Jacobsson, Bo, Pitkänen, Niina, Vrijheid, Martine, Feenstra, Bjarke, Kiess, Wieland, Jarvelin, Marjo-Riita, Bisgaard, Hans, Wang C, Carol, Standl, Marie, McCarthy, Mark I., Pourcain, Beate St, Njølstad, Pål R., Grant, Struan F. A., Felix, Janine F., Jaddoe, Vincent W. V., Epidemiology, Pediatrics, Radiology & Nuclear Medicine, Internal Medicine, Clinical Genetics, and Groningen Research Institute for Asthma and COPD (GRIAC)

Subjects
Adult, Genome-wide association study, Genetic correlations, Infancy, Head circumference, Genetic Correlations, Genome-wide Association Study, Head Circumference, Cognition, Phenotype, Genetics, Genome-Wide Association Study/methods, Educational Status, Humans, Child, Genetics (clinical), Genome-Wide Association Study, Bristol Population Health Science Institute
Abstract

Background Head circumference is associated with intelligence and tracks from childhood into adulthood. Methods We performed a genome-wide association study meta-analysis and follow-up of head circumference in a total of 29,192 participants between 6 and 30 months of age. Results Seven loci reached genome-wide significance in the combined discovery and replication analysis of which three loci near ARFGEF2, MYCL1, and TOP1, were novel. We observed positive genetic correlations for early-life head circumference with adult intracranial volume, years of schooling, childhood and adult intelligence, but not with adult psychiatric, neurological, or personality-related phenotypes. Conclusions The results of this study indicate that the biological processes underlying early-life head circumference overlap largely with those of adult head circumference. The associations of early-life head circumference with cognitive outcomes across the life course are partly explained by genetics.

Published
2022
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32. Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies

Author

Gorski, Mathias, Rasheed, Humaira, Teumer, Alexander, Thomas, Laurent F., Graham, Sarah E, Sveinbjornsson, Gardar, Winkler, Thomas W., Günther, Felix, Stark, Klaus J., Chai, Jin-Fang, Tayo, Bamidele O., Wuttke, Matthias, Li, Yong, Tin, Adrienne, Ahluwalia, Tarunveer S., Ärnlöv, Johan, Åsvold, Bjørn Olav, Bakker, Stephan J.L., Banas, Bernhard, Bansal, Nisha, Biggs, Mary L., Biino, Ginevra, Böhnke, Michael, Boerwinkle, Eric, Bottinger, Erwin P., Brenner, Hermann, Brumpton, Ben, Carroll, Robert J., Chaker, Layal, Chalmers, John, Chee, Miao-Li, Chee, Miao-Ling, Cheng, Ching-Yu, Chu, Audrey Y., Ciullo, Marina, Cocca, Massimiliano, Cook, James P., Coresh, Josef, Cusi, Daniele, de Borst, Martin H., Degenhardt, Frauke, Eckardt, Kai-Uwe, Endlich, Karlhans, Evans, Michele K., Feitosa, Mary F., Franke, Andre, Freitag-Wolf, Sandra, Fuchsberger, Christian, Gampawar, Piyush, Gansevoort, Ron T., Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Gieger, Christian, Gudbjartsson, Daniel F., Hallan, Stein, Hamet, Pavel, Hishida, Asahi, Ho, Kevin, Hofer, Edith, Holleczek, Bernd, Holm, Hilma, Hoppmann, Anselm, Horn, Katrin, Hutri-Kähönen, Nina, Hveem, Kristian, Hwang, Shih-Jen, Ikram, M. Arfan, Josyula, Navya Shilpa, Jung, Bettina, Kähönen, Mika, Karabegović, Irma, Khor, Chiea-Chuen, Koenig, Wolfgang, Kramer, Holly, Krämer, Bernhard K., Kühnel, Brigitte, Kuusisto, Johanna, Laakso, Markku, Lange, Leslie A., Lehtimäki, Terho, Li, Man, Lieb, Wolfgang, Lind, Lars, Lindgren, Cecilia M., Loos, Ruth J.F., Lukas, Mary Ann, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Matias-Garcia, Pamela R., Meisinger, Christa, Meitinger, Thomas, Melander, Olle, Milaneschi, Yuri, Mishra, Pashupati P., Mononen, Nina, Morris, Andrew P., Mychaleckyj, Josyf C., Nadkarni, Girish N., Naito, Mariko, Nakatochi, Masahiro, Nalls, Mike A., Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, Ilja M., Nutile, Teresa, O’Donoghue, Michelle L., O'Connell, Jeffrey R., Olafsson, Isleifur, Orho-Melander, Marju, Parsa, Afshin, Pendergrass, Sarah A., Penninx, Brenda W.J.H., Pirastu, Mario, Preuss, Michael H., Psaty, Bruce M., Raffield, Laura M., Raitakari, Olli T., Rheinberger, Myriam, Rice, Kenneth M., Rizzi, Federica, Rosenkranz, Alexander R., Rossing, Peter, Rotter, Jerome I., Ruggiero, Daniela, Ryan, Kathleen A., Sabanayagam, Charumathi, Salvi, Erika, Schmidt, Helena, Schmidt, Reinhold, Scholz, Markus, Schöttker, Ben, Schulz, Christina-Alexandra, Sedaghat, Sanaz, Shaffer, Christian M., Sieber, Karsten B., Sim, Xueling, Sims, Mario, Snieder, Harold, Stanzick, Kira J., Thorsteinsdottir, Unnur, Stocker, Hannah, Strauch, Konstantin, Stringham, Heather M., Sulem, Patrick, Szymczak, Silke, Taylor, Kent D., Thio, Chris H.L., Tremblay, Johanne, Vaccargiu, Simona, van der Harst, Pim, van der Most, Peter J., Verweij, Niek, Völker, Uwe, Wakai, Kenji, Waldenberger, Melanie, Wallentin, Lars, Wallner, Stefan, Wang, Judy, Waterworth, Dawn M., White, Harvey D., Willer, Cristen J., Wong, Tien-Yin, Woodward, Mark, Yang, Qiong, Yerges-Armstrong, Laura M., Zimmermann, Martina E., Zonderman, Alan B., Bergler, Tobias, Stefansson, Kari, Böger, Carsten A., Pattaro, Cristian, Köttgen, Anna, Kronenberg, Florian, Heid, Iris M., Tampere University, Clinical Medicine, Department of Paediatrics, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Chemistry, TAYS Heart Centre, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, Groningen Institute for Organ Transplantation (GIOT), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Internal Medicine, and Epidemiology

Subjects
acute kidney injury, chronic kidney disease, diabetes, gene expression, 610 Medizin, Kidney, Urologi och njurmedicin, Humans, Urology and Nephrology, ddc:610, Longitudinal Studies, Renal Insufficiency, Renal Insufficiency, Chronic, Medicinsk genetik, diabetes, Public Health, Global Health, Social Medicine and Epidemiology, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Cross-Sectional Studies, acute kidney injury, Genetic Loci, Nephrology, gene expression, N-Acetylgalactosaminyltransferases, 3111 Biomedicine, Medical Genetics, chronic kidney disease, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Estimated glomerular filtration rate (eGFR) reflects kidney function. Progressive eGFR-decline can lead to kidney failure, necessitating dialysis or transplantation. Hundreds of loci from genome-wide association studies (GWAS) for eGFR help explain population cross section variability. Since the contribution of these or other loci to eGFR-decline remains largely unknown, we derived GWAS for annual eGFR-decline and meta-analyzed 62 longitudinal studies with eGFR assessed twice over time in all 343,339 individuals and in high-risk groups. We also explored different covariate adjustment. Twelve genome-wide significant independent variants for eGFR-decline unadjusted or adjusted for eGFR-baseline (11 novel, one known for this phenotype), including nine variants robustly associated across models were identified. All loci for eGFR-decline were known for cross-sectional eGFR and thus distinguished a subgroup of eGFR loci. Seven of the nine variants showed variant-by-age interaction on eGFR cross section (further about 350,000 individuals), which linked genetic associations for eGFR-decline with age-dependency of genetic cross-section associations. Clinically important were two to four-fold greater genetic effects on eGFR-decline in high-risk subgroups. Five variants associated also with chronic kidney disease progression mapped to genes with functional in-silico evidence (UMOD, SPATA7, GALNTL5, TPPP). An unfavorable versus favorable nine-variant genetic profile showed increased risk odds ratios of 1.35 for kidney failure (95% confidence intervals 1.03-1.77) and 1.27 for acute kidney injury (95% confidence intervals 1.08-1.50) in over 2000 cases each, with matched controls). Thus, we provide a large data resource, genetic loci, and prioritized genes for kidney function decline, which help inform drug development pipelines revealing important insights into the age-dependency of kidney function genetics. publishedVersion

Published
2022
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33. A saturated map of common genetic variants associated with human height

Author

Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U, Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D, Graham, Sarah E, Mukamel, Ronen E, Spracklen, Cassandra N, Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H, Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E, Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S, Akiyama, Masato, Allison, Matthew A, Alvarez, Marcus, Andersen, Mette K, Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F, Bollepalli, Sailalitha, Bonnycastle, Lori L, Bork-Jensen, Jette, Bradfield, Jonathan P, Bradford, Yuki, Braund, Peter S, Brody, Jennifer A, Burgdorf, Kristoffer S, Cade, Brian E, Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E Warwick, Degenhard, Frauke, Delgado, Graciela E, Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B, Engmann, Jorgen E, Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D, Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E, Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P, Goel, Anuj, Gordon, Scott D, Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F, Havulinna, Aki S, Haworth, Simon J, He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A, Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E, Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E, Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D, Isono, Masato, Jackson, Anne U, Jäger, Susanne, Jansen, Iris E, Johansson, Ingegerd, Jonas, Jost B, Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L, Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L, Kentistou, Katherine A, Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E, Knol, Maria J, Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L, Li, Shengchao A, Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian'an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F, Meidtner, Karina, Melendez, Tori L, Mercader, Josep M, Milaneschi, Yuri, Miller, Jason E, Millwood, Iona Y, Mishra, Pashupati P, Mitchell, Ruth E, Møllehave, Line T, Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P, Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A, Nolte, Ilja M, Nongmaithem, Suraj S, Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva RB, Petersen, Liselotte V, Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H, Pyarajan, Saiju, Raffield, Laura M, Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W, Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E, Ryan, Kathleen A, Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M, Slieker, Roderick C, Smit, Roelof AJ, Smith, Albert V, Smith, Jennifer A, Smyth, Laura J, Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D, Tayo, Bamidele O, Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J, Thorleifsson, Gudmar, Timmers, Paul RHJ, Trompet, Stella, Turman, Constance, Vaccargiu, Simona, Van Der Laan, Sander W, Van Der Most, Peter J, Van Klinken, Jan B, Van Setten, Jessica, Verma, Shefali S, Verweij, Niek, Veturi, Yogasudha, Wang, Carol A, Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R, Bin Wei, Wen, Wickremasinghe, Ananda R, Wielscher, Matthias, Wiggins, Kerri L, Winsvold, Bendik S, Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A, Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, 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V, Den Hollander, Anneke I, Du, Shufa, Easton, Douglas F, Elders, Petra JM, Eliassen, A Heather, Ellinor, Patrick T, Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K, Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F, Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W, Freedman, Barry I, Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E, Golightly, Yvonne M, Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan FA, Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A, Hattersley, Andrew T, Hayward, Caroline, Heckbert, Susan R, Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W, Hishigaki, Haretsugu, Hoyng, Carel B, Huang, Paul L, Huang, Wei, Hunt, Steven C, Hveem, Kristian, Hyppönen, Elina, Iacono, William G, Ichihara, Sahoko, Ikram, M Arfan, Isasi, Carmen R, Jackson, Rebecca D, Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon LR, Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V, Khor, Chiea Chuen, Kiemeney, Lambertus ALM, Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A, Kolovou, Genovefa D, Kooner, Jaspal S, Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M, Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A, Langenberg, Claudia, Launer, Lenore J, Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R, Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A, Lye, Stephen J, Mackey, David A, Mägi, Reedik, Magnusson, Patrik KE, Marcus, Gregory M, Vidal, Pedro Marques, Martin, Nicholas G, März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W, McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E, Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D, Mitchell, Paul, Mook-Kanamori, Dennis O, Morris, Andrew D, Mucci, Lorelei A, Munroe, Patricia B, Nalls, Mike A, Nazarian, Saman, Nelson, Amanda E, Neville, Matt J, Newton-Cheh, Christopher, Nielsen, Christopher S, Nöthen, Markus M, Ohlsson, Claes, Oldehinkel, Albertine J, Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin NA, Parra, Esteban J, Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E, Penninx, Brenda WJH, Perusse, Louis, Peters, Annette, Peyser, Patricia A, Porteous, David J, Posthuma, Danielle, Power, Chris, Pramstaller, Peter P, Province, Michael A, Qi, Qibin, Qu, Jia, Rader, Daniel J, Raitakari, Olli T, Ralhan, Sarju, Rallidis, Loukianos S, Rao, Dabeeru C, Redline, Susan, Reilly, Dermot F, Reiner, Alexander P, Rhee, Sang Youl, Ridker, Paul M, Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D, Roden, Dan M, Rosendaal, Frits R, Rotter, Jerome I, Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J, Sanghera, Dharambir K, Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B, Schunkert, Heribert, Scott, Laura J, Scott, Rodney J, Sever, Peter, Shiroma, Eric J, Shoemaker, M Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M, Sims, Mario, Singh, Jai Rup, Singleton, Andrew B, Sinner, Moritz F, Smith, J Gustav, Snieder, Harold, Spector, Tim D, Stampfer, Meir J, Stark, Klaus J, Strachan, David P, 'T Hart, Leen M, Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A, Timpson, Nicholas J, Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G, Van Dam, Rob M, Van Der Harst, Pim, Van Der Velde, Nathalie, Van Duijn, Cornelia M, Van Schoor, Natasja M, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H, Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J, Watanabe, Richard M, Watkins, Hugh, Weir, David R, Werge, Thomas M, Widen, Elisabeth, Wilkens, Lynne R, Willemsen, Gonneke, Willett, Walter C, Wilson, James F, Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F, Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S, Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S, Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M, Zonderman, Alan B, Zwart, John-Anker, 23andMe Research Team, VA Million Veteran Program, DiscovEHR (DiscovEHR And MyCode Community Health Initiative), EMERGE (Electronic Medical Records And Genomics Network), Lifelines Cohort Study, PRACTICAL Consortium, Understanding Society Scientific Group, Chasman, Daniel I, Cho, Yoon Shin, Heid, Iris M, McCarthy, Mark I, Ng, Maggie CY, O'Donnell, Christopher J, Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V, Tai, E Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E, Lindgren, Cecilia M, Loos, Ruth JF, Mohlke, Karen L, North, Kari E, Stefansson, Kari, Walters, Robin G, Winkler, Thomas W, Young, Kristin L, Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L, Auton, Adam, Abecasis, Goncalo R, Willer, Cristen J, Locke, Adam E, Berndt, Sonja I, Lettre, Guillaume, Frayling, Timothy M, Okada, Yukinori, Wood, Andrew R, Visscher, Peter M, Hirschhorn, Joel N, Oral Implantology, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Liability Law, Earth Sciences, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, Environmental Geography (former), Art and Culture, History, Antiquity, Sociology and Social Gerontology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Nutrition and Health, Organic Chemistry, AIMMS, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Internal Medicine, Epidemiology, Radiology & Nuclear Medicine, Clinical Genetics, Team, 23andMe Research, Program, VA Million Veteran, Initiative), DiscovEHR (DiscovEHR and 112 MyCode Community Health, Network), eMERGE (Electronic Medical Records and Genomics, Study, Lifelines Cohort, Consortium, The PRACTICAL, Group, Understanding Society Scientific, Yengo, Loïc [0000-0002-4272-9305], Apollo - University of Cambridge Repository, Laboratory Genetic Metabolic Diseases, Laboratory for General Clinical Chemistry, Geriatrics, AMS - Ageing & Vitality, APH - Aging & Later Life, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, ACS - Heart failure & arrhythmias, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, General practice, ACS - Diabetes & metabolism, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Epidemiology and Data Science, Internal medicine, APH - Digital Health, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Department of Clinical Physiology and Nuclear Medicine, Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Hypponen, Elina, Hirschhorn, Joel N, Epigenetics of Complex Diseases and Traits, Institute for Molecular Medicine Finland, Helsinki Institute of Life Science HiLIFE, Joint Activities, University of Helsinki, Medicum, Complex Disease Genetics, Samuli Olli Ripatti / Principal Investigator, Helsinki Institute of Life Science HiLIFE, Department of Medicine, HUS Internal Medicine and Rehabilitation, Clinicum, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Faculty Common Matters (Faculty of Social Sciences), Research Programs Unit, HUS Abdominal Center, Tiinamaija Tuomi Research Group, CAMM - Research Program for Clinical and Molecular Metabolism, Departments of Faculty of Veterinary Medicine, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, 23andMe Research Team, VA Million Veteran Program, DiscovEHR (DiscovEHR and MyCode Community Health Initiative), eMERGE (Electronic Medical Records and Genomics Network), Lifelines Cohort Study, PRACTICAL Consortium, Understanding Society Scientific Group, Partida, G.C., Sun, Y., Croteau-Chonka, D., Vonk, J.M., Chanock, S., Le Marchand, L., Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U, Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D, Graham, Sarah E, Mukamel, Ronen E, Spracklen, Cassandra N, Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H, Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E, Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S, Akiyama, Masato, Allison, Matthew A, Alvarez, Marcu, Andersen, Mette K, Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F, Bollepalli, Sailalitha, 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Gjesing, Anette P, Goel, Anuj, Gordon, Scott D, Gorski, Mathia, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F, Havulinna, Aki S, Haworth, Simon J, He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A, Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E, Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E, Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D, Isono, Masato, Jackson, Anne U, Jäger, Susanne, Jansen, Iris E, Johansson, Ingegerd, Jonas, Jost B, Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L, Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L, Kentistou, Katherine A, Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E, Knol, Maria J, Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L, Li, Shengchao A, Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian'An, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, Mcdaid, Aaron F, Meidtner, Karina, Melendez, Tori L, Mercader, Josep M, Milaneschi, Yuri, Miller, Jason E, Millwood, Iona Y, Mishra, Pashupati P, Mitchell, Ruth E, Møllehave, Line T, Morgan, Anna, Mucha, Soeren, Munz, Matthia, Nakatochi, Masahiro, Nelson, Christopher P, Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A, Nolte, Ilja M, Nongmaithem, Suraj S, Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R B, Petersen, Liselotte V, Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H, Pyarajan, Saiju, Raffield, Laura M, Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Denni, Rayner, Nigel W, Riveros, Carlo, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E, Ryan, Kathleen A, Sabater-Lleal, Maria, Saxena, Richa, Scholz, Marku, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M, Slieker, Roderick C, Smit, Roelof A J, Smith, Albert V, Smith, Jennifer A, Smyth, Laura J, Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D, Tayo, Bamidele O, Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J, Thorleifsson, Gudmar, Timmers, Paul R H J, Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W, van der Most, Peter J, van Klinken, Jan B, van Setten, Jessica, Verma, Shefali S, Verweij, Niek, Veturi, Yogasudha, Wang, Carol A, Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R, Bin Wei, Wen, Wickremasinghe, Ananda R, Wielscher, Matthia, Wiggins, Kerri L, Winsvold, Bendik S, Wong, Andrew, Wu, Yang, Wuttke, Matthia, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A, Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E, Zoledziewska, Magdalena, Adair, Linda S, Adams, Hieab H H, Aguilar-Salinas, Carlos A, Al-Mulla, Fahd, Arnett, Donna K, Asselbergs, Folkert W, Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A, Bergler, Tobia, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Han, Boerwinkle, Eric, Böger, Carsten A, Bønnelykke, Klau, Boomsma, Dorret I, Børglum, Anders D, Borja, Judith B, Bouchard, Claude, Bowden, Donald W, Brandslund, Ivan, Brumpton, Ben, Buring, Julie E, Caulfield, Mark J, Chambers, John C, Chandak, Giriraj R, Chanock, Stephen J, Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E, Ciullo, Marina, Cole, John W, Collins, Francis S, Cooper, Richard S, Cruz, Miguel, Cucca, Francesco, Cupples, L Adrienne, Cutler, Michael J, Damrauer, Scott M, Dantoft, Thomas M, de Borst, Gert J, de Groot, Lisette C P G M, De Jager, Philip L, de Kleijn, Dominique P V, Janaka de Silva, H, Dedoussis, George V, den Hollander, Anneke I, Du, Shufa, Easton, Douglas F, Elders, Petra J M, Eliassen, A Heather, Ellinor, Patrick T, Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K, Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F, Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W, Freedman, Barry I, Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E, Golightly, Yvonne M, Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F A, Grarup, Niel, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A, Hattersley, Andrew T, Hayward, Caroline, Heckbert, Susan R, Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W, Hishigaki, Haretsugu, Hoyng, Carel B, Huang, Paul L, Huang, Wei, Hunt, Steven C, Hveem, Kristian, Hyppönen, Elina, Iacono, William G, Ichihara, Sahoko, Ikram, M Arfan, Isasi, Carmen R, Jackson, Rebecca D, Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L R, Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V, Khor, Chiea Chuen, Kiemeney, Lambertus A L M, Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulu, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A, Kolovou, Genovefa D, Kooner, Jaspal S, Kooperberg, Charle, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M, Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A, Langenberg, Claudia, Launer, Lenore J, Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R, Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lar, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Marku, London, Barry, Lubitz, Steven A, Lye, Stephen J, Mackey, David A, Mägi, Reedik, Magnusson, Patrik K E, Marcus, Gregory M, Vidal, Pedro Marque, Martin, Nicholas G, März, Winfried, Matsuda, Fumihiko, Mcgarrah, Robert W, Mcgue, Matt, Mcknight, Amy Jayne, Medland, Sarah E, Mellström, Dan, Metspalu, Andre, Mitchell, Braxton D, Mitchell, Paul, Mook-Kanamori, Dennis O, Morris, Andrew D, Mucci, Lorelei A, Munroe, Patricia B, Nalls, Mike A, Nazarian, Saman, Nelson, Amanda E, Neville, Matt J, Newton-Cheh, Christopher, Nielsen, Christopher S, Nöthen, Markus M, Ohlsson, Clae, Oldehinkel, Albertine J, Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N A, Parra, Esteban J, Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E, Penninx, Brenda W J H, Perusse, Loui, Peters, Annette, Peyser, Patricia A, Porteous, David J, Posthuma, Danielle, Power, Chri, Pramstaller, Peter P, Province, Michael A, Qi, Qibin, Qu, Jia, Rader, Daniel J, Raitakari, Olli T, Ralhan, Sarju, Rallidis, Loukianos S, Rao, Dabeeru C, Redline, Susan, Reilly, Dermot F, Reiner, Alexander P, Rhee, Sang Youl, Ridker, Paul M, Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D, Roden, Dan M, Rosendaal, Frits R, Rotter, Jerome I, Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J, Sanghera, Dharambir K, Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B, Schunkert, Heribert, Scott, Laura J, Scott, Rodney J, Sever, Peter, Shiroma, Eric J, Shoemaker, M Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M, Sims, Mario, Singh, Jai Rup, Singleton, Andrew B, Sinner, Moritz F, Smith, J Gustav, Snieder, Harold, Spector, Tim D, Stampfer, Meir J, Stark, Klaus J, Strachan, David P, 't Hart, Leen M, Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A, Timpson, Nicholas J, Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G, van Dam, Rob M, van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M, van Schoor, Natasja M, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H, Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J, Watanabe, Richard M, Watkins, Hugh, Weir, David R, Werge, Thomas M, Widen, Elisabeth, Wilkens, Lynne R, Willemsen, Gonneke, Willett, Walter C, Wilson, James F, Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F, Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S, Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S, Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M, Zonderman, Alan B, Zwart, John-Anker, Chasman, Daniel I, Cho, Yoon Shin, Heid, Iris M, Mccarthy, Mark I, Ng, Maggie C Y, O'Donnell, Christopher J, Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V, Tai, E Shyong, Boehnke, Michael, Deloukas, Pano, Justice, Anne E, Lindgren, Cecilia M, Loos, Ruth J F, Mohlke, Karen L, North, Kari E, Stefansson, Kari, Walters, Robin G, Winkler, Thomas W, Young, Kristin L, Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L, Auton, Adam, Abecasis, Goncalo R, Willer, Cristen J, Locke, Adam E, Berndt, Sonja I, Lettre, Guillaume, Frayling, Timothy M, Okada, Yukinori, Wood, Andrew R, and Visscher, Peter M

Subjects
multi-ancestry, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Medizin, 45/43, Genome-wide association studies, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Linkage Disequilibrium, Gene Frequency, RARE, IMPUTATION, PRACTICAL Consortium, GWAS, genes, ARCHITECTURE, Genome, Human/genetics, Multidisciplinary, Body Height/genetics, HERITABILITY, SCORES, article, Chromosome Mapping, 631/208/721, Polymorphism, Single Nucleotide/genetics, 3142 Public health care science, environmental and occupational health, Nutritional Biology, Europe, Phenotype, Gene Frequency/genetics, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], VA Million Veteran Program, Molecular and Laser Physics, dimorphism, blood, lipid, Medical Genetics, Single Nucleotide/genetics, genetic variant, Understanding Society Scientific Group, height, genetic, Haplotypes/genetics, 631/208/205/2138, saturated map, 23andMe Research Team, Polymorphism, Single Nucleotide, single-nucleotide polymorphisms (SNPs), Europe/ethnology, Lifelines Cohort Study, RESOURCE, UK BIOBANK, REVEALS, Life Science, DiscovEHR (DiscovEHR and MyCode Community Health Initiative), Humans, Linkage Disequilibrium/genetics, genomic regions, Polymorphism, GENOME-WIDE ASSOCIATION, gene, genetic variants, human height, 631/208/480, VLAG, Medicinsk genetik, eMERGE (Electronic Medical Records and Genomics Network), Genome, Human, Spectroscopy of Cold Molecules, Quantitative traits, Genome, Human/genetics, Genome-Wide Association Study, Sample Size, Body Height, 3141 Health care science, Haplotypes, Genetic markers, 3111 Biomedicine
Abstract

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes(1). Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel(2)) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries. A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

Published
2022
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34. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

Author

Gorski, Mathias, Jung, Bettina, Li, Yong, Matias-Garcia, Pamela R, Wuttke, Matthias, Coassin, Stefan, Thio, Chris HL, Kleber, Marcus E, Winkler, Thomas W, Wanner, Veronika, Chai, Jin-Fang, Chu, Audrey Y, Cocca, Massimiliano, Feitosa, Mary F, Ghasemi, Sahar, Hoppmann, Anselm, Horn, Katrin, Li, Man, Nutile, Teresa, Scholz, Markus, Sieber, Karsten B, Teumer, Alexander, Tin, Adrienne, Wang, Judy, Tayo, Bamidele O, Ahluwalia, Tarunveer S, Almgren, Peter, Bakker, Stephan JL, Banas, Bernhard, Bansal, Nisha, Biggs, Mary L, Boerwinkle, Eric, Bottinger, Erwin P, Brenner, Hermann, Carroll, Robert J, Chalmers, John, Chee, Miao-Li, Chee, Miao-Ling, Cheng, Ching-Yu, Coresh, Josef, de Borst, Martin H, Degenhardt, Frauke, Eckardt, Kai-Uwe, Endlich, Karlhans, Franke, Andre, Freitag-Wolf, Sandra, Gampawar, Piyush, Gansevoort, Ron T, Ghanbari, Mohsen, Gieger, Christian, Hamet, Pavel, Ho, Kevin, Hofer, Edith, Holleczek, Bernd, Xian Foo, Valencia Hui, Hutri-Kähönen, Nina, Hwang, Shih-Jen, Ikram, M Arfan, Josyula, Navya Shilpa, Kähönen, Mika, Khor, Chiea-Chuen, Koenig, Wolfgang, Kramer, Holly, Krämer, Bernhard K, Kühnel, Brigitte, Lange, Leslie A, Lehtimäki, Terho, Lieb, Wolfgang, Lifelines Cohort Study, Regeneron Genetics Center, Loos, Ruth JF, Lukas, Mary Ann, Lyytikäinen, Leo-Pekka, Meisinger, Christa, Meitinger, Thomas, Melander, Olle, Milaneschi, Yuri, Mishra, Pashupati P, Mononen, Nina, Mychaleckyj, Josyf C, Nadkarni, Girish N, Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, Ilja M, O'Donoghue, Michelle L, Orho-Melander, Marju, Pendergrass, Sarah A, Penninx, Brenda WJH, Preuss, Michael H, Psaty, Bruce M, Raffield, Laura M, Raitakari, Olli T, Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M, Rosenkranz, Alexander R, Rossing, Peter, Rotter, Jerome I, and Sabanayagam, Charumathi

Subjects
genome-wide association study, Kidney Disease, Prevention, Human Genome, Clinical Sciences, Protein Disulfide-Isomerases, Renal and urogenital, AMP-Activated Protein Kinases, Urology & Nephrology, Regeneron Genetics Center, Kidney, United Kingdom, Rare Diseases, Lifelines Cohort Study, acute kidney injury, Creatinine, end-stage kidney disease, rapid eGFRcrea decline, Genetics, Humans, 2.1 Biological and endogenous factors, Aetiology, Glomerular Filtration Rate
Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m2/year or more ("Rapid3"; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m2 at follow-up among those with eGFRcrea 60 mL/min/1.73m2 or more at baseline ("CKDi25"; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.

Published
2021

35. Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults

Author

Hofer, Edith, Roshchupkin, Gennady V, Bernard, Manon, Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N, Colodro-Conde, Lucía, Bralten, Janita, Hibar, Derrek P, Lind, Penelope A, Pizzagalli, Fabrizio, Ching, Christopher R K, McMahon, Mary Agnes B, Bis, Joshua C, Shatokhina, Natalia, Zsembik, Leo C P, Agartz, Ingrid, Alhusaini, Saud, Almeida, Marcio A A, Alnæs, Dag, Amlien, Inge K, Andersson, Micael, Ard, Tyler, Armstrong, Nicola J, Gillespie, Nathan A, Ashley-Koch, Allison, Brouwer, Rachel M, Buimer, Elizabeth E L, Bülow, Robin, Bürger, Christian, Cannon, Dara M, Chakravarty, Mallar, Chen, Qiang, Cheung, Joshua W, Luciano, Michelle, Couvy-Duchesne, Baptiste, Dale, Anders M, Dalvie, Shareefa, de Araujo, Tânia K, de Zubicaray, Greig I, de Zwarte, Sonja M C, den Braber, Anouk, Doan, Nhat Trung, Dohm, Katharina, Ehrlich, Stefan, Mishra, Aniket, Engelbrecht, Hannah-Ruth, Erk, Susanne, Fan, Chun Chieh, Fedko, Iryna O, Foley, Sonya F, Ford, Judith M, Fukunaga, Masaki, Garrett, Melanie E, Ge, Tian, Giddaluru, Sudheer, Scholz, Markus, Goldman, Aaron L, Groenewold, Nynke A, Grotegerd, Dominik, Gurholt, Tiril P, Gutman, Boris A, Hansell, Narelle K, Harris, Mathew A, Harrison, Marc B, Haswell, Courtney C, Hauser, Michael, Teumer, Alexander, Herms, Stefan, Heslenfeld, Dirk J, Ho, New Fei, Hoehn, David, Hoffmann, Per, Holleran, Laurena, Hoogman, Martine, Hottenga, Jouke-Jan, Ikeda, Masashi, Janowitz, Deborah, Xia, Rui, Jansen, Iris E, Jia, Tianye, Jockwitz, Christiane, Kanai, Ryota, Karama, Sherif, Kasperaviciute, Dalia, Kaufmann, Tobias, Kelly, Sinead, Kikuchi, Masataka, Klein, Marieke, Jian, Xueqiu, Knapp, Michael, Knodt, Annchen R, Krämer, Bernd, Lam, Max, Lancaster, Thomas M, Lee, Phil H, Lett, Tristram A, Lewis, Lindsay B, Lopes-Cendes, Iscia, Mosley, Thomas H, Macciardi, Fabio, Marquand, Andre F, Mathias, Samuel R, Melzer, Tracy R, Milaneschi, Yuri, Mirza-Schreiber, Nazanin, Moreira, Jose C V, Mühleisen, Thomas W, Müller-Myhsok, Bertram, Najt, Pablo, Adams, Hieab H H, Saba, Yasaman, Nakahara, Soichiro, Nho, Kwangsik, Olde Loohuis, Loes M, Orfanos, Dimitri Papadopoulos, Pearson, John F, Pitcher, Toni L, Pütz, Benno, Ragothaman, Anjanibhargavi, Rashid, Faisal M, Redlich, Ronny, Pirpamer, Lukas, Reinbold, Céline S, Repple, Jonathan, Richard, Geneviève, Riedel, Brandalyn C, Risacher, Shannon L, Rocha, Cristiane S, Mota, Nina Roth, Salminen, Lauren, Saremi, Arvin, Saykin, Andrew J, Seiler, Stephan, Schlag, Fenja, Schmaal, Lianne, Schofield, Peter R, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E, Sprooten, Emma, Becker, James T, Strike, Lachlan T, Tansey, Katherine E, Thalamuthu, Anbupalam, Thomopoulos, Sophia I, Tordesillas-Gutiérrez, Diana, Turner, Jessica A, Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, Carmichael, Owen, van Donkelaar, Marjolein M J, van Eijk, Liza, van Erp, Theo G M, van Haren, Neeltje E M, van Rooij, Daan, van Tol, Marie-José, Veldink, Jan H, Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Rotter, Jerome I, Wang, Yunpeng, Wardlaw, Joanna M, Wen, Wei, Westlye, Lars T, Whelan, Christopher D, Witt, Stephanie H, Wittfeld, Katharina, Wolf, Christiane, Wolfers, Thomas, Yasuda, Clarissa L, Psaty, Bruce M, Zaremba, Dario, Zhang, Zuo, Zhu, Alyssa H, Zwiers, Marcel P, Artiges, Eric, Assareh, Amelia A, Ayesa-Arriola, Rosa, Belger, Aysenil, Brandt, Christine L, Brown, Gregory G, Lopez, Oscar L, Cichon, Sven, Curran, Joanne E, Davies, Gareth E, Degenhardt, Franziska, Dietsche, Bruno, Djurovic, Srdjan, Doherty, Colin P, Espiritu, Ryan, Garijo, Daniel, Gil, Yolanda, Amin, Najaf, Gowland, Penny A, Green, Robert C, Häusler, Alexander N, Heindel, Walter, Ho, Beng-Choon, Hoffmann, Wolfgang U, Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R, van der Lee, Sven J, Jang, MiHyun, Jansen, Andreas, Kolskår, Knut, Koops, Sanne, Krug, Axel, Lim, Kelvin O, Luykx, Jurjen J, Mathalon, Daniel H, Mather, Karen A, Mattay, Venkata S, Knol, Maria J, Yang, Qiong, Matthews, Sarah, Son, Jaqueline Mayoral Van, McEwen, Sarah C, Melle, Ingrid, Morris, Derek W, Mueller, Bryon A, Nauck, Matthias, Nordvik, Jan E, Nöthen, Markus M, O'Leary, Daniel S, Himali, Jayandra J, Opel, Nils, Martinot, Marie -Laure Paillère, Pike, G Bruce, Preda, Adrian, Quinlan, Erin B, Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M, Torres, Fábio R, Veltman, Dick J, Maillard, Pauline, Voyvodic, James T, Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Alvim, Marina K M, Ames, David, Anderson, Tim J, Andreassen, Ole A, Arias-Vasquez, Alejandro, Bastin, Mark E, Beiser, Alexa S, Baune, Bernhard T, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brunner, Han G, Buckner, Randy L, Buitelaar, Jan K, Bustillo, Juan R, Cahn, Wiepke, Calhoun, Vince, DeCarli, Charles, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L, Cendes, Fernando, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C, Dannlowski, Udo, de Geus, Eco J C, Deary, Ian J, Delanty, Norman, Depondt, Chantal, Desrivières, Sylvane, Donohoe, Gary, Espeseth, Thomas, Fernández, Guillén, Fisher, Simon E, Flor, Herta, Forstner, Andreas J, Francks, Clyde, Lewis, Lindsay, Franke, Barbara, Glahn, David C, Gollub, Randy L, Grabe, Hans J, Gruber, Oliver, Håberg, Asta K, Hariri, Ahmad R, Hartman, Catharina A, Hashimoto, Ryota, Heinz, Andreas, Harris, Mat, Hillegers, Manon H J, Hoekstra, Pieter J, Holmes, Avram J, Hong, L Elliot, Hopkins, William D, Hulshoff Pol, Hilleke E, Jernigan, Terry L, Jönsson, Erik G, Kahn, René S, Kennedy, Martin A, Kircher, Tilo T J, Kochunov, Peter, Kwok, John B J, Hellard, Stephanie Le, Martin, Nicholas G, Martinot, Jean -Luc, McDonald, Colm, McMahon, Katie L, Meyer-Lindenberg, Andreas, Morey, Rajendra A, Nyberg, Lars, Oosterlaan, Jaap, Ophoff, Roel A, Paus, Tomáš, Pausova, Zdenka, Penninx, Brenda W J H, Polderman, Tinca J C, Posthuma, Danielle, Rietschel, Marcella, Roffman, Joshua L, Lin, Honghuang, Veronica Witte, A., Rowland, Laura M, Sachdev, Perminder S, Sämann, Philipp G, Schumann, Gunter, Sim, Kang, Sisodiya, Sanjay M, Smoller, Jordan W, Sommer, Iris E, Pourcain, Beate St, Stein, Dan J, Beyer, Frauke, Toga, Arthur W, Trollor, Julian N, Van der Wee, Nic J A, van 't Ent, Dennis, Völzke, Henry, Walter, Henrik, Weber, Bernd, Weinberger, Daniel R, Wright, Margaret J, Zhou, Juan, Loeffler, Markus, Stein, Jason L, Thompson, Paul M, Medland, Sarah E, Kwok, John B, Trollor, Julian, Li, Shuo, Jiang, Jiyang, Vernooij, Meike W, Hofman, Albert, Uitterlinden, André G, Niessen, Wiro J, Völker, Uwe, Zare, Habil, Bruce Pike, G., Maingault, Sophie, Crivello, Fabrice, Tzourio, Christophe, Amouyel, Philippe, Mazoyer, Bernard, Neale, Michael C, Franz, Carol E, Lyons, Michael J, Ahmad, Shahzad, Panizzon, Matthew S, Logue, Mark, consortium, ENIGMA, Kremen, William S, Villringer, Arno, Satizabal, Claudia L, van Duijn, Cornelia M, Grabe, Hans, Longstreth, William T, Fornage, Myriam, Paus, Tomas, Debette, Stephanie, Ikram, M Arfan, Schmidt, Helena, Schmidt, Reinhold, Seshadri, Sudha, University of Graz, Medical University Graz, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), School of Public Health [Boston], University of Texas Health Science Center, The University of Texas Health Science Center at Houston (UTHealth), The University of Texas at San Antonio (UTSA), Murdoch University, The Hospital for sick children [Toronto] (SickKids), University of Washington [Seattle], Virginia Commonwealth University (VCU), QIMR Berghofer Medical Research Institute, University of Edinburgh, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Leipzig [Leipzig], Universität Greifswald - University of Greifswald, University of Mississippi Medical Center (UMMC), University of California [Davis] (UC Davis), University of California, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Pennington Biomedical Research Center, Louisiana State University (LSU), Los Angeles Biomedical Research Institute (LA BioMed), McGill University = Université McGill [Montréal, Canada], Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Max-Planck-Gesellschaft, University of New South Wales [Sydney] (UNSW), Neuroscience Research Australia (NeuRA), The University of Sydney, University of Queensland [Brisbane], The Royal Melbourne Hospital, University of Melbourne, Harvard T.H. Chan School of Public Health, Delft University of Technology (TU Delft), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), University of Toronto, University of Calgary, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), CHU Bordeaux [Bordeaux], Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Réseau International des Instituts Pasteur (RIIP), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), University of California [San Diego] (UC San Diego), University of Oslo (UiO), Oslo University Hospital [Oslo], VA Boston Healthcare System, University of Southern California (USC), Radboud University Medical Center [Nijmegen], Radboud university [Nijmegen], Janssen Research & Development, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Prince of Wales Hospital, University Hospital Leipzig, University of Oxford [Oxford], Holland Bloorview Kids Rehabilitation Hospital [Toronto, ON, Canada], Epidemiology, Medical Informatics, Radiology & Nuclear Medicine, Neurology, Complex Trait Genetics, Biological Psychology, Cognitive Psychology, IBBA, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, Clinical Neuropsychology, Clinical Developmental Psychology, Amsterdam Neuroscience - Complex Trait Genetics, Movement Disorder (MD), Clinical Cognitive Neuropsychiatry Research Program (CCNP), General Paediatrics, ARD - Amsterdam Reproduction and Development, Karl-Franzens-Universität Graz, Universität Leipzig, University of California (UC), Radboud University [Nijmegen], University of Oxford, Psychiatry, Anatomy and neurosciences, Pediatric surgery, Human genetics, APH - Digital Health, and Karl-Franzens-Universität [Graz, Autriche]

Subjects
0301 basic medicine, Male, Genetics of the nervous system, Aging, General Physics and Astronomy, Genome-wide association study, Disease, VARIANTS, genetics [Mental Disorders], Genome-wide association studies, 0302 clinical medicine, Cognition, PARKINSONS-DISEASE, SCHIZOPHRENIA, 80 and over, 2.1 Biological and endogenous factors, Aetiology, lcsh:Science, Aged, 80 and over, education.field_of_study, Multidisciplinary, ENIGMA consortium, Mental Disorders, Brain, Neurodegenerative Diseases, Genomics, Single Nucleotide, Middle Aged, Biobank, ALZHEIMERS-DISEASE, Phenotype, VINTAGE, Neurology, Chromosome Structures, Schizophrenia, genetics [Aging], Neurological, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Female, ddc:500, Biotechnology, Adult, Science, geentics of the nervous system, 1.1 Normal biological development and functioning, Population, SURFACE-AREA, ORGANIZATION, Biology, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Underpinning research, THICKNESS, medicine, Genetics, Humans, Polymorphism, education, HEALTHY, METAANALYSIS, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Genetic heterogeneity, neurology, Human Genome, Neurosciences, General Chemistry, Heritability, medicine.disease, Brain Disorders, INDIVIDUALS, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Evolutionary biology, genetics [Neurodegenerative Diseases], VOLUME, genome-wide association studies, lcsh:Q, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Cortical thickness, surface area and volumes vary with age and cognitive function, and in neurological and psychiatric diseases. Here we report heritability, genetic correlations and genome-wide associations of these cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprises 22,824 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. We identify genetic heterogeneity between cortical measures and brain regions, and 160 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There is enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging., Cortex morphology varies with age, cognitive function, and in neurological and psychiatric diseases. Here the authors report 160 genome-wide significant associations with thickness, surface area and volume of the total cortex and 34 cortical regions from a GWAS meta-analysis in 22,824 adults.

Published
2020
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36. The genetic architecture of the human cerebral cortex

Author

Grasby, Katrina L, Jahanshad, Neda, Shatokhina, Natalia, Mirza-Schreiber, Nazanin, Moreira, Jose C V, Mühleisen, Thomas W, Müller-Myhsok, Bertram, Najt, Pablo, Nakahara, Soichiro, Nho, Kwangsik, Olde Loohuis, Loes M, Orfanos, Dimitri Papadopoulos, Pearson, John F, Zsembik, Leo C P, Pitcher, Toni L, Pütz, Benno, Quidé, Yann, Ragothaman, Anjanibhargavi, Rashid, Faisal M, Reay, William R, Redlich, Ronny, Reinbold, Céline S, Repple, Jonathan, Richard, Geneviève, Thomopoulos, Sophia I, Riedel, Brandalyn C, Risacher, Shannon L, Rocha, Cristiane S, Mota, Nina Roth, Salminen, Lauren, Saremi, Arvin, Saykin, Andrew J, Schlag, Fenja, Schmaal, Lianne, Schofield, Peter R, Zhu, Alyssa H, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E, Sprooten, Emma, Tansey, Katherine E, Teumer, Alexander, Thalamuthu, Anbupalam, Strike, Lachlan T, Tordesillas-Gutiérrez, Diana, Turner, Jessica A, Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, van Donkelaar, Marjolein M J, van Eijk, Liza, van Erp, Theo G M, van Haren, Neeltje E M, van Rooij, Daan, Agartz, Ingrid, van Tol, Marie-José, Veldink, Jan H, Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Wang, Yunpeng, Wardlaw, Joanna M, Wen, Wei, Westlye, Lars T, Whelan, Christopher D, Alhusaini, Saud, Witt, Stephanie H, Wittfeld, Katharina, Wolf, Christiane, Wolfers, Thomas, Wu, Jing Qin, Yasuda, Clarissa L, Zaremba, Dario, Zhang, Zuo, Zwiers, Marcel P, Artiges, Eric, Almeida, Marcio A A, Assareh, Amelia A, Ayesa-Arriola, Rosa, Belger, Aysenil, Brandt, Christine L, Brown, Gregory G, Cichon, Sven, Curran, Joanne E, Davies, Gareth E, Degenhardt, Franziska, Dennis, Michelle F, Alnæs, Dag, Dietsche, Bruno, Djurovic, Srdjan, Doherty, Colin P, Espiritu, Ryan, Garijo, Daniel, Gil, Yolanda, Gowland, Penny A, Green, Robert C, Häusler, Alexander N, Heindel, Walter, Amlien, Inge K, Ho, Beng-Choon, Hoffmann, Wolfgang U, Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R, Jang, MiHyun, Jansen, Andreas, Kimbrel, Nathan A, Kolskår, Knut, Painter, Jodie N, Andersson, Micael, Koops, Sanne, Krug, Axel, Lim, Kelvin O, Luykx, Jurjen J, Mathalon, Daniel H, Mather, Karen A, Mattay, Venkata S, Matthews, Sarah, Mayoral Van Son, Jaqueline, McEwen, Sarah C, Ard, Tyler, Melle, Ingrid, Morris, Derek W, Mueller, Bryon A, Nauck, Matthias, Nordvik, Jan E, Nöthen, Markus M, O'Leary, Daniel S, Opel, Nils, Martinot, Marie-Laure Paillère, Pike, G Bruce, Armstrong, Nicola J, Preda, Adrian, Quinlan, Erin B, Rasser, Paul E, Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M, Tooney, Paul A, Torres, Fábio R, Veltman, Dick J, Voyvodic, James T, Ashley-Koch, Allison, Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Adams, Hieab H H, Bis, Joshua C, Debette, Stephanie, Decarli, Charles, Fornage, Myriam, Gudnason, Vilmundur, Hofer, Edith, Atkins, Joshua R, Ikram, M Arfan, Launer, Lenore, Longstreth, W. 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Masaki, Knopman, David, Hewitt, David L, Perry, David, Russell, David, Standaert, David, Winkfield, David, Green, Davis Robert C, Fontaine, Deborah, Miller, Delwyn D, Gessert, Devon, Garrett, Melanie E, Kerwin, Diana, Willeke, Diana, Drost, Dick, Papadopoulos, Dimitri, Rowe, Dominic, Simpson, Donna M, Muni, Donna, Galasko, Douglas, Scharre, Douglas W, Fillmer, Ariane, Ge, Tian, Bartha, Rob, Celmins, Dzintra, Zimmerman, Earl A, Teng, Edmond, Tolosa, Eduardo, Coleman, Edward, Zamrini, Edward, Mitsis, Effie, Finger, Elizabeth, Giddaluru, Sudheer, Oates, Elizabeth, Sosa, Elizabeth, Woo, Ellen, Rogalski, Emily, Lethbridge, Emma, Dooley, Eoin, Foster, Eric, Reiman, Eric M, Quinlan, Erin Burke, Goldman, Aaron L, Franklin, Erin, Heinzen, Erin L, Fletcher, Evan, Sprenger, Fabienne, Crivello, Fabrice, Biondo, Francesca, Parfitt, Francine, Hefti, Franz, Beyer, Frauke, Nees, Frauke, Green, Melissa J, Leonard, Gabriel, Robert, Gabriel, Thai, Gaby, Marshall, Gad A, Barker, Gareth, Conrad, Gary, 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Kelly, Makino, Kelly M, Marek, Kenneth, Spicer, Kenneth, Shianna, Kevin, Chen, Kewei, Nam, Ki Won, Martin, Kim, Poki-Walker, Kim, Hoehn, David, Seppi, Klaus, Johnson, Kris, Fargher, Kristin, Lipowski, Kristine, Espay, Kristy, Womack, Kyle, Chahine, Lama, Flashman, Laura A, Daedelow, Laura, Hoffmann, Per, Leary, Laura, Beckett, Laurel, Honig, Lawrence S, Thal, Leon, Shaw, Leslie M, Kuller, Lew, Apostolova, Liana, Teodoro, Liberty, Rees, Linda, Pizzagalli, Fabrizio, Holleran, Laurena, Lewis, Lindsay, Hergesheimer, Lindsey, Silbert, Lisa C, Ravdin, Lisa, Taylor-Reinwald, Lisa, Uribe, Liz, Schneider, Lon S, Daiello, Lori A, Richer, Louis, Poustka, Luise, Hoogman, Martine, Pirpamer, Lukas, Mesulam, M Marcel, Ismail, M Saleem, Ranola, Madelaine, Korecka, Magdalena, Raichle, Marc, Seltzer, Marc, van der Brug, Marcel, Hottenga, Jouke-Jan, Mesulam, Marek-Marsel, Carrillo, Maria, Carroll, Maria, Knol, Maria J, Kataki, Maria, Greig-Custo, Maria T, Paillere, Marie-Laure, Albert, Marilyn, Love, Marissa Natelson, Ikeda, Masashi, Mintun, Mark A, Frasier, Mark, Logue, Mark, Minton, Mark, Loeffler, Markus, Scholz, Markus, Baca, Marne, Farlow, Martin R, Sadowski, Martin, Janowitz, Deborah, Creech, Mary L, Hynes, Mary L, Quiceno, Mary, Oakley, MaryAnn, Harris, Mat, Senjem, Matt, Bernstein, Matthew, Panizzon, Matthew S, Stern, Matthew, Becerra, Mauricio, Jansen, Iris E, Witbracht, Megan, Vernooij, Meike W, Brandabur, Melanie, Keltz, Melanie, Lamar, Melissa, Yang, Mia, Ahlijanian, Michael, Borrie, Michael, Neale, Michael C, Donohue, Michael, Jia, Tianye, Lyons, Michael J, Lin, Michael, Rapp, Michael, Smolka, Michael, Weiner, Michael W, Weiner, Michael, Figurski, Michal, Perron, Michel, Assaly, Michele, Luciano, Michelle, Jockwitz, Christiane, Rainka, Michelle, Dang, Mimi, Sheikh, Mohammed O, Ghanbari, Mohsen, Gaikwad, Mrunalini, Chowdhury, Munir, Trncic, Nadira, Amin, Najaf, Johnson, Nancy, Kanai, Ryota, Kowalksi, Nancy, Monahan, Nancy, Gillespie, Nathan A, Pacini, Nathaniel, Buckholtz, Neil, Kowall, Neil, Graff-Radford, Neill R, Fox, Nick, Pavese, Nicola, Karama, Sherif, Cairns, Nigel J, Schuff, Norbert, Foster, Norm, Relkin, Norman, Oyonumo, Ntekim E, Pomara, Nunzio, James, Olga, Ogunlana, Olu, Ching, Christopher R K, Kasperaviciute, Dalia, Carmichael, Owen, Doraiswamy, P Murali, Casalin, Paola, Barone, Paolo, Fatica, Parianne, Conrod, Patricia, Johnson, Patricia Lynn, Samuels, Patricia, Aisen, Paul, Malloy, Paul, Kaufmann, Tobias, Thompson, Paul, Ogrocki, Paula, Bezivin-Frere, Pauline, Maillard, Pauline, Fontoura, Paulo, Taylor, Peggy, Hogarth, Penelope, Gowland, Penny, Davies, Peter, Kelly, Sinead, Hardy, Peter, Snyder, Peter J, Snyder, Peter, Amouyel, Philippe, Muglia, Pierandrea, Tariot, Pierre, Lu, Po H, Varma, Pradeep, Vemuri, Prashanthi, Kikuchi, Masataka, Doody, Rachelle S, Carter, Raina, Shah, Raj C, Griffith, Randall, Yeh, Randy, Duara, Ranjan, Tarawneh, Rawan, James, Raymond, Turner, Raymond Scott, Klein, Marieke, Hernando, Raymundo, Silverstein, Rebecca, Sperling, Reisa A, Wilson, Renee, Carson, Richard E, Frank, Richard, El Khouli, Riham, Koeppe, Robert A, Santulli, Robert B, Knapp, Michael, Hauser, Robert, Umek, Robert, Radtke, Rodney, Killiany, Ronald, Petersen, Ronald, Rodriguez, Rosemarie, Miranda, Ruben, Knodt, Annchen R, Bruehl, Ruediger, Xia, Rui, Swerdlow, Russell H, Ottmann, Ruth, Millenet, Sabina, Borges-Neto, Salvador, Frank, Samuel, Black, Sandra, Weintraub, Sandra, Obradov, Sanja, Krämer, Bernd, Asthana, Sanjay, Vaishnavi, Sanjeev, Dolen, Sara, Mason, Sara S, Hohmann, Sarah, Kremen, Sarah, Miller, Sarah, Walter, Sarah, Herring, Scott, Neu, Scott, Lam, Max, Aydin, Semiha, Ahmad, Shahzad, Harlan, Sherry, Sirrel, Sherye A, Lasch, Shirley, Hu, Shu-Ching, Li, Shuo, Kittur, Smita, Chowdhury, Sohini, Lancaster, Thomas M, Pawluczyk, Sonia, Maingault, Sophie, Schneider, Stacy, Seiler, Stephan, Guthrie, Stephanie, Kielb, Stephanie, Reeder, Stephanie, Correia, Stephen, Pasternak, Stephen, McMahon, Mary Agnes B, Lee, Phil H, Salloway, Stephen, Johnson, Sterling, Williams, Steve, Chao, Steven, Arnold, Steven E, Paul, Steven, Potkin, Steven, Factor, Stewart, Isaacson, Stuart, Lett, Tristram A, Kim, Sungeun, Ainscough, Susan, Schultz, Susan K, Landau, Susan, Mendick, Susan, Rountree, Susan, Ostrowizki, Suzanne, Veillette, Suzanne, van der Lee, Sven J, Desrivieres, Sylvane, Lewis, Lindsay B, Lee, T-Y, Simuni, Tanya, Foroud, Tatiana, Foroud, Tatiana M, Wong, Terence Z, Villena, Teresa, Comery, Thomas, Obisesan, Thomas O, Lopes-Cendes, Iscia, Banaschewski, Tobias, Sherer, Todd, Montine, Tom, Paus, Tomáš, Robbins, Trevor, Bromberg, Uli, Völker, Uwe, Pavlik, Valory, Arnedo, Vanessa, Kiyasova, Vera, Bates, Vernice, Logovinsky, Veronika, Sossi, Vesna, Shibley, Victoria, Frouin, Vincent, Lee, Virginia, Poewe, Werner, Jagust, William, Brooks, William M, Macciardi, Fabio, Pavlosky, William, Potter, William, Kremen, William S, Longstreth, William T, Niessen, Wiro J, Jian, Xueqiu, Stern, Yaakov, Saba, Yasaman, Cabrera, Yuliana, Grimmer, Yvonne, Marquand, Andre F, Khachaturian, Zaven, Mari, Zoltan, Mathias, Samuel R, Melzer, Tracy R, Milaneschi, Yuri, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Stochastics, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, Science and Society, Cognitive Psychology, IBBA, APH - Personalized Medicine, Complex Trait Genetics, APH - Methodology, Clinical Neuropsychology, Sociology and Social Gerontology, Amsterdam Neuroscience - Complex Trait Genetics, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Neurology, Psychiatry, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Digital Health, Psychology, Precision Medicine Institute of Psychiatry, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Clinical Genetics, Epidemiology, Medical Informatics, Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Neurodegeneratives Diseases Institute (IMN-UMR CNRS 5293), Centre National de la Recherche Scientifique (CNRS), General Paediatrics, ARD - Amsterdam Reproduction and Development, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), [SDV]Life Sciences [q-bio], LOCI, Genome-wide association study, Brain mapping, 0302 clinical medicine, Cognition, Cortex (anatomy), ComputingMilieux_MISCELLANEOUS, Cerebral Cortex, 0303 health sciences, Brain Mapping, Multidisciplinary, COMMON VARIANTS, Parkinson Disease, Organ Size, Central sulcus, Magnetic Resonance Imaging, medicine.anatomical_structure, Cerebral cortex, Neuroinformatics, EXPRESSION, endocrine system, central sulcus, SURFACE-AREA, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Attention deficit hyperactivity disorder, Humans, General, Gene, METAANALYSIS, 030304 developmental biology, Progenitor, CORTICAL SULCI, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Genetic variants, Genetic Variation, Attention Deficit Disorder with Hyperactivity, Genetic Loci, Genome-Wide Association Study, functional annotation, medicine.disease, Genetic architecture, 030104 developmental biology, Evolutionary biology, OBSERVER-INDEPENDENT CHARACTERIZATION, Multiple comparisons problem, ddc:320, genome-wide association, Neuroscience, 030217 neurology & neurosurgery
Abstract

Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group., The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

Published
2020
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37. Genetic architecture of subcortical brain structures in 38,851 individuals

Author

Satizabal, Claudia L, Adams, Hieab HH, Hibar, Derrek P, White, Charles C, Knol, Maria J, Stein, Jason L, Scholz, Markus, Sargurupremraj, Muralidharan, Jahanshad, Neda, Roshchupkin, Gennady V, Smith, Albert V, Bis, Joshua C, Jian, Xueqiu, Luciano, Michelle, Hofer, Edith, Teumer, Alexander, van der Lee, Sven J, Yang, Jingyun, Yanek, Lisa R, Lee, Tom V, Li, Shuo, Hu, Yanhui, Koh, Jia Yu, Eicher, John D, Desrivières, Sylvane, Arias-Vasquez, Alejandro, Chauhan, Ganesh, Athanasiu, Lavinia, Rentería, Miguel E, Kim, Sungeun, Hoehn, David, Armstrong, Nicola J, Chen, Qiang, Holmes, Avram J, den Braber, Anouk, Kloszewska, Iwona, Andersson, Micael, Espeseth, Thomas, Grimm, Oliver, Abramovic, Lucija, Alhusaini, Saud, Milaneschi, Yuri, Papmeyer, Martina, Axelsson, Tomas, Ehrlich, Stefan, Roiz-Santiañez, Roberto, Kraemer, Bernd, Håberg, Asta K, Jones, Hannah J, Pike, G Bruce, Stein, Dan J, Stevens, Allison, Bralten, Janita, Vernooij, Meike W, Harris, Tamara B, Filippi, Irina, Witte, A Veronica, Guadalupe, Tulio, Wittfeld, Katharina, Mosley, Thomas H, Becker, James T, Doan, Nhat Trung, Hagenaars, Saskia P, Saba, Yasaman, Cuellar-Partida, Gabriel, Amin, Najaf, Hilal, Saima, Nho, Kwangsik, Mirza-Schreiber, Nazanin, Arfanakis, Konstantinos, Becker, Diane M, Ames, David, Goldman, Aaron L, Lee, Phil H, Boomsma, Dorret I, Lovestone, Simon, Giddaluru, Sudheer, Le Hellard, Stephanie, Mattheisen, Manuel, Bohlken, Marc M, Kasperaviciute, Dalia, Schmaal, Lianne, Lawrie, Stephen M, Agartz, Ingrid, Walton, Esther, Tordesillas-Gutierrez, Diana, Davies, Gareth E, Shin, Jean, Ipser, Jonathan C, Vinke, Louis N, Hoogman, Martine, Jia, Tianye, Burkhardt, Ralph, Klein, Marieke, Crivello, Fabrice, Janowitz, Deborah, Carmichael, Owen, Haukvik, Unn K, Aribisala, Benjamin S, and Schmidt, Helena

Subjects
Adult, Human Genome, Neurosciences, Brain, Genetic Variation, Organ Size, Middle Aged, Biological Sciences, Magnetic Resonance Imaging, Medical and Health Sciences, Brain Disorders, Cohort Studies, Drosophila melanogaster, Mental Health, Neurodevelopmental Disorders, Neurological, Genetics, Animals, Humans, 2.1 Biological and endogenous factors, Aetiology, Aged, Genome-Wide Association Study, Biotechnology, Developmental Biology
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019

38. A catalog of genetic loci associated with kidney function from analyses of a million individuals

Author

Wuttke, Matthias, Li, Yong, Li, Man, Sieber, Karsten B, Feitosa, Mary F, Danesh, John, Ouwehand, Willem H, Heid, Iris M, Scholz, Markus, Teumer, Alexander, Köttgen, Anna, Pattaro, Cristian, Danesh, John [0000-0003-1158-6791], Ouwehand, Willem [0000-0002-7744-1790], and Apollo - University of Cambridge Repository

Subjects
urogenital system, Quantitative Trait Loci, Inheritance Patterns, Chromosome Mapping, Kidney Function Tests, Polymorphism, Single Nucleotide, White People, Phenotype, Quantitative Trait, Heritable, Uromodulin, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic, Genetic Association Studies, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

Published
2019

39. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences

Author

Karlsson Linnér, Richard, Biroli, Pietro, Kong, Edward, Meddens, S. Fleur W., Wedow, Robbee, Fontana, Mark Alan, Lebreton, Maël, Tino, Stephen P., Abdellaoui, Abdel, Hammerschlag, Anke R., Nivard, Michel G., Okbay, Aysu, Rietveld, Cornelius A., Timshel, Pascal N., Trzaskowski, Maciej, Vlaming, Ronald de, Zünd, Christian L., Bao, Yanchun, Buzdugan, Laura, Caplin, Ann H., Chen, Chia-Yen, Eibich, Peter, Fontanillas, Pierre, Gonzalez, Juan R., Joshi, Peter K., Karhunen, Ville, Kleinman, Aaron, Levin, Remy Z., Lill, Christina M., Meddens, Gerardus A., Muntané, Gerard, Sanchez-Roige, Sandra, Rooij, Frank J. van, Taskesen, Erdogan, Yang, Wu, Zhang, Futao, Agee, Michelle, Alipanahi, Babak, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Furlotte, Nicholas A., Huber, Karen E., Litterman, Nadia K., Mccreight, Jennifer C., Mcintyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark, Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Gregory, Heijmans, Bastiaan, Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg-Guzman, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Markus, Marigorta, Urko M., Metspalu, Andres, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthias, Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon, Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli, Ring, Susan, Ripatti, Samuli, Rotzchke, Olaf, Rüeger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Stumvoll, Michael, Sullivan, Patrick, Hoen, Peter-Bram t, Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, Dongen, Jenny van, Meurs, Joyce van, Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Beauchamp, Jonathan P., Lee, James J., Pers, Tune H., Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Oskarsson, Sven, Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Ahluwalia, Tarunveer S., Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, Maria Pina, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J. van der, de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., Most, Peter J. van der, Oldmeadow, Christopher, Payton, Antony, Peyrot, Wouter J., Qian, Yong, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., Pourcain, Beate St, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Jugessur, Astanand, Kaakinen, Marika A., Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Mcmahon, George, Meisinger, Christa, Meitinger, Thomas, Milaneschi, Yusplitri, Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Venturini, Cristina, Vinkhuyzen, Anna A. E., Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johannes, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klaus, Bertram, Lars, Bisgaard, Hans, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., Duijn, Cornelia M. van, Eriksson, Johan G., Franke, Barbara, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, Harst, Pim van der, Hayward, Caroline, Hinds, David A., Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehrer, Steven F., Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Pendleton, Neil, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Smith, George Davey, Hofman, Albert, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Johannesson, Magnus, Koellinger, Philipp D., Cesarini, David, Benjamin, Daniel J., Auton, Adam, Boardman, Jason D., Clark, David W., Conlin, Andrew, Dolan, Conor C., Fischbacher, Urs, Harris, Kathleen Mullan, Hasler, Gregor, Ikram, Mohammad A., Jain, Sonia, Kessler, Ronald C., Kooyman, Maarten, Mackillop, James, Männikkö, Minna, Morcillo-Suarez, Carlos, Mcqueen, Matthew B., Schmidt, Klaus M., Smart, Melissa C., Sutter, Matthias, White, Jon, Wit, Harriet de, Fehr, Ernst, Kumari, Meena, Laibson, David, Navarro, Arcadi, Palmer, Abraham A., Schunk, Daniel, Stein, Murray B., Svento, Rauli, Timmers, Paul R. H. J., Ursano, Robert J., Wagner, Gert G., Adult Psychiatry, APH - Mental Health, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, 23and Me Research Team, eQTLgen Consortium, International Cannabis Consortium, Economics, Biological Psychology, Complex Trait Genetics, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Tinbergen Institute, 23andme Research Team, Psychiatric Genomics Consortium, Social Science Genetic Association Consortium, Linner Richard Karlsson, Biroli P, Kong Edward, Meddens Fleur W., Wedow Robbee, Fontana Mark Alan, Lebreton Mael, Tino Stephen P., Abdellaoui Abdel, Hammerschlag Anke R., Nivard Michel G., Okbay Aysu, Rietveld Cornelius A., Timshel Pascal N., Trzaskowski Maciej, de Vlaming Ronald, Zund Christian L., Bao Yanchun, Buzdugan Laura, Caplin Ann H., Chen Chia-Yen, Eibich Peter, Fontanillas Pierre, Gonzalez Juan R., Joshi Peter K., Karhunen Ville, Kleinman Aaron, Levin Remy Z., Lill Christina M., Meddens Gerardus A., Muntane Gerard, Sanchez-Roige Sandra, van Rooij Frank J., Taskesen Erdogan, Wu Yang, Zhang Futao, Agee Michelle, Alipanahi Babak, Bell Robert K., Bryc Katarzyna, Elson Sarah L., Furlotte Nicholas A., Huber Karen E., Litterman Nadia K., McCreight Jennifer C., McIntyre Matthew H., Mountain Joanna L., Northover Carrie A. M., Pitts Steven J., Sathirapongsasuti J. Fah, Sazonova Olga V., Shelton Janie F., Shringarpure Suyash, Tian Chao, Tung Joyce Y., Vacic Vladimir, Wilson Catherine H., Agbessi Mawusse, Ahsan Habibul, Alves Isabel, Andiappan Anand, Awadalla Philip, Battle Alexi, Beutner Frank, Bonder Marc Jan, Boomsma Dorret I., Christiansen Mark, Claringbould Annique, Deelen Patrick, Esko Tonu, Fave Marie-Julie, Franke Lude, Frayling Timothy, Gharib Sina A., Gibson Gregory, Heijmans Bastiaan, Hemani Gibran, Jansen Rick, Kahonen Mika, Kalnapenkis Anette, Kasela Silva, Kettunen Johanne, Kim Yungil, Kirsten Holger, Kovacs Peter, Krohn Knut, Kronberg-Guzman Jaanika, Kukushkina Viktorija, Kutalik Zoltan, Lee Bernett, Lehtimaki Terho, Loeffler Marku, Marigorta Urko M., Metspalu Andre, Milani Lili, Montgomery Grant W., Mueller-Nurasyid Martina, Nauck Matthia, Penninx Brenda, Perola Marku, Pervjakova Natalia, Pierce Brandon, Powell Joseph, Prokisch Holger, Psaty Bruce M., Raitakari Olli, Ring Susan, Ripatti Samuli, Rotzchke Olaf, Rueger Sina, Saha Ashi, Scholz Marku, Schramm Katharina, Seppala Ilkka, Stumvoll Michael, Sullivan Patrick, Hoen Peter-Bramt, Teumer Alexander, Thiery Joachim, Tong Lin, Tonjes Anke, van Dongen Jenny, van Meurs Joyce, Verlouw Joost, Visscher Peter M., Voelker Uwe, Vosa Urmo, Westra Harm-Jan, Yaghootkar Hanieh, Yang Jian, Zeng Biao, Lee James J., Pers Tune H., Turley Patrick, Chen Guo-Bo, Emilsson Valur, Oskarsson Sven, Pickrell Joseph K., Thom Kevin, Timshel Pascal, Ahluwalia Tarunveer S., Bacelis Jona, Baumbach Clemen, Bjornsdottir Gyda, Brandsma Johannes H., Concas Maria Pina, Derringer Jaime, Galesloot Tessel E., Girotto Giorgia, Gupta Richa, Hall Leanne M., Harris Sarah E., Hofer Edith, Horikoshi Momoko, Huffman Jennifer E., Kaasik Kadri, Kalafati Ioanna P., Kong Augustine, Lahti Jari, van der Lee Sven J., de Leeuw Christiaan, Lind Penelope A., Lindgren Karl-Oskar, Liu Tian, Mangino Massimo, Marten Jonathan, Mihailov Evelin, Miller Michael B., van der Most Peter J., Oldmeadow Christopher, Payton Antony, Peyrot Wouter J., Qian Yong, Rueedi Rico, Salvi Erika, Schmidt Boerge, Schraut Katharina E., Shi Jianxin, Smith Albert V., Poot Raymond A., St Pourcain Beate, Thorleifsson Gudmar, Verweij Niek, Vuckovic Dragana, Wellmann Juergen, Yang Jingyun, Zhao Wei, Zhu Zhihong, Alizadeh Behrooz Z., Amin Najaf, Bakshi Andrew, Baumeister Sebastian E., Biino Ginevra, Bonnelykke Klau, Boyle Patricia A., Campbell Harry, Cappuccio Francesco P., Davies Gail, De Neve Jan-Emmanuel, Deloukas Pano, Demuth Ilja, Ding Jun, Eisele Lewin, Eklund Niina, Evans David M., Faul Jessica D., Feitosa Mary F., Forstner Andreas J., Gandin Ilaria, Gunnarsson Bjarni, Halldorsson Bjarni V., Harris Tamara B., Heath Andrew C., Hocking Lynne J., Holliday Elizabeth G., Homuth Georg, Horan Michael A., Hottenga Jouke-Jan, de Jager Philip L., Jugessur Astanand, Kaakinen Marika A., Kanoni Stavroula, Keltigangas-Jarvinen Liisa, Kiemeney Lambertus A. L. M., Kolcic Ivana, Koskinen Seppo, Kraja Aldi T., Kroh Martin, Latvala Antti, Launer Lenore J., Lebreton Mael P., Levinson Douglas F., Lichtenstein Paul, Lichtner Peter, Liewald David C. M., Loukola Anu, Madden Pamela A., Magi Reedik, Maki-Opas Tomi, Marioni Riccardo E., Marques-Vidal Pedro, McMahon George, Meisinger Christa, Meitinger Thoma, Milaneschi Yusplitri, Myhre Ronny, Nelson Christopher P., Nyholt Dale R., Ollier William E. R., Palotie Aarno, Paternoster Lavinia, Pedersen Nancy L., Petrovic Katja E., Porteous David J., Raikkonen Katri, Ring Susan M., Robino Antonietta, Rostapshova Olga, Rudan Igor, Rustichini Aldo, Salomaa Veikko, Sanders Alan R., Sarin Antti-Pekka, Schmidt Helena, Scott Rodney J., Smith Blair H., Smith Jennifer A., Staessen Jan A., Steinhagen-Thiessen Elisabeth, Strauch Konstantin, Terracciano Antonio, Tobin Martin D., Ulivi Sheila, Vaccargiu Simona, Quaye Lydia, Venturini Cristina, Vinkhuyzen Anna A. E., Voelzke Henry, Vonk Judith M., Vozzi Diego, Waage Johanne, Ware Erin B., Willemsen Gonneke, Attia John R., Bennett David A., Berger Klau, Bertram Lar, Bisgaard Han, Borecki Ingrid B., Bultmann Ute, Chabris Christopher F., Cucca Francesco, Cusi Daniele, Deary J., Dedoussis George V., van Duijn Cornelia M., Eriksson Johan G., Franke Barbara, Gasparini Paolo, Gejman Pablo V., Gieger Christian, Grabe Hans-Joergen, Gratten Jacob, Gudnason Vilmundur, van der Harst Pim, Hayward Caroline, Hinds David A., Hoffmann Wolfgang, Hypponen Elina, Iacono William G., Jacobsson Bo, Jarvelin Marjo-Riitta, Jockel Karl-Heinz, Kaprio Jaakko, Kardia Sharon L. R., Lehrer Steven F., Magnusson Patrik K. E., Martin Nicholas G., McGue Matt, Pendleton Neil, Pirastu Nicola, Pirastu Mario, Polasek Ozren, Posthuma Danielle, Power Christine, Province Michael A., Samani Nilesh J., Schlessinger David, Schmidt Reinhold, Sorensen Thorkild I. A., Spector Tim D., Stefansson Kari, Thorsteinsdottir Unnur, Thurik A. Roy, Timpson Nicholas J., Tiemeier Henning, Uitterlinden Andre G., Vitart Veronique, Vollenweider Peter, Weir David R., Wilson James F., Wright Alan F., Conley Dalton C., Krueger Robert F., Smith George Davey, Laibson David I., Medland Sarah E., Johannesson Magnu, Koellinger Philipp D., Cesarini David, Benjamin Daniel J., Auton Adam, Boardman Jason D., Clark David W., Conlin Andrew, Dolan Conor C., Fischbacher Ur, Groenen Patrick J. F., Harris Kathleen Mullan, Hasler Gregor, Hofman Albert, Ikram Mohammad A., Jain Sonia, Karlsson Robert, Kessler Ronald C., Kooyman Maarten, MacKillop Jame, Mannikko Minna, Morcillo-Suarez Carlo, McQueen Matthew B., Schmidt Klaus M., Smart Melissa C., Sutter Matthia, White Jon, de Wit Harriet, Fehr Ernst, Kumari Meena, Laibson David, Meyer Michelle N., Navarro Arcadi, Palmer Abraham A., Schunk Daniel, Stein Murray B., Svento Rauli, Timmers Paul R. H. J., Ursano Robert J., Wagner Gert G., Beauchamp Jonathan P., Karlsson Linnér, Richard, Biroli, Pietro, Kong, Edward, Meddens, S. Fleur W., Wedow, Robbee, Fontana, Mark Alan, Lebreton, Maël, Tino, Stephen P., Abdellaoui, Abdel, Hammerschlag, Anke R., Nivard, Michel G., Okbay, Aysu, Rietveld, Cornelius A., Timshel, Pascal N., Trzaskowski, Maciej, Vlaming, Ronald de, Zünd, Christian L., Bao, Yanchun, Buzdugan, Laura, Caplin, Ann H., Chen, Chia-Yen, Eibich, Peter, Fontanillas, Pierre, Gonzalez, Juan R., Joshi, Peter K., Karhunen, Ville, Kleinman, Aaron, Levin, Remy Z., Lill, Christina M., Meddens, Gerardus A., Muntané, Gerard, Sanchez-Roige, Sandra, Rooij, Frank J. van, Taskesen, Erdogan, Wu, Yang, Zhang, Futao, Agee, Michelle, Alipanahi, Babak, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Furlotte, Nicholas A., Huber, Karen E., Litterman, Nadia K., Mccreight, Jennifer C., Mcintyre, Matthew H., Mountain, Joanna L., Northover, Carrie A. M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand, Awadalla, Philip, Battle, Alexi, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret I., Christiansen, Mark, Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie-Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina A., Gibson, Gregory, Heijmans, Bastiaan, Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johanne, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg-Guzman, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Marku, Marigorta, Urko M., Metspalu, Andre, Milani, Lili, Montgomery, Grant W., Müller-Nurasyid, Martina, Nauck, Matthia, Penninx, Brenda, Perola, Marku, Pervjakova, Natalia, Pierce, Brandon, Powell, Joseph, Prokisch, Holger, Psaty, Bruce M., Raitakari, Olli, Ring, Susan, Ripatti, Samuli, Rotzchke, Olaf, Rüeger, Sina, Saha, Ashi, Scholz, Marku, Schramm, Katharina, Seppälä, Ilkka, Stumvoll, Michael, Sullivan, Patrick, Hoen, Peter-Bram t, Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, Dongen, Jenny van, Meurs, Joyce van, Verlouw, Joost, Visscher, Peter M., Völker, Uwe, Võsa, Urmo, Westra, Harm-Jan, Yaghootkar, Hanieh, Yang, Jian, Zeng, Biao, Beauchamp, Jonathan P., Lee, James J., Pers, Tune H., Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Oskarsson, Sven, Pickrell, Joseph K., Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Ahluwalia, Tarunveer S., Bacelis, Jona, Baumbach, Clemen, Bjornsdottir, Gyda, Brandsma, Johannes H., Concas, Maria Pina, Derringer, Jaime, Galesloot, Tessel E., Girotto, Giorgia, Gupta, Richa, Hall, Leanne M., Harris, Sarah E., Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E., Kaasik, Kadri, Kalafati, Ioanna P., Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J. van der, de Leeuw, Christiaan, Lind, Penelope A., Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B., Most, Peter J. van der, Oldmeadow, Christopher, Payton, Antony, Peyrot, Wouter J., Qian, Yong, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E., Shi, Jianxin, Smith, Albert V., Poot, Raymond A., Pourcain, Beate St, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z., Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E., Biino, Ginevra, Bønnelykke, Klau, Boyle, Patricia A., Campbell, Harry, Cappuccio, Francesco P., Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Pano, Demuth, Ilja, Ding, Jun, Eisele, Lewin, Eklund, Niina, Evans, David M., Faul, Jessica D., Feitosa, Mary F., Forstner, Andreas J., Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V., Harris, Tamara B., Heath, Andrew C., Hocking, Lynne J., Holliday, Elizabeth G., Homuth, Georg, Horan, Michael A., Hottenga, Jouke-Jan, de Jager, Philip L., Jugessur, Astanand, Kaakinen, Marika A., Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus A. L. M., Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T., Kroh, Martin, Latvala, Antti, Launer, Lenore J., Lebreton, Maël P., Levinson, Douglas F., Lichtenstein, Paul, Lichtner, Peter, Liewald, David C. M., Loukola, Anu, Madden, Pamela A., Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E., Marques-Vidal, Pedro, Mcmahon, George, Meisinger, Christa, Meitinger, Thoma, Milaneschi, Yusplitri, Myhre, Ronny, Nelson, Christopher P., Nyholt, Dale R., Ollier, William E. R., Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L., Petrovic, Katja E., Porteous, David J., Räikkönen, Katri, Ring, Susan M., Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R., Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J., Smith, Blair H., Smith, Jennifer A., Staessen, Jan A., Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D., Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, Venturini, Cristina, Vinkhuyzen, Anna A. E., Völzke, Henry, Vonk, Judith M., Vozzi, Diego, Waage, Johanne, Ware, Erin B., Willemsen, Gonneke, Attia, John R., Bennett, David A., Berger, Klau, Bertram, Lar, Bisgaard, Han, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F., Cucca, Francesco, Cusi, Daniele, Deary, Ian J., Dedoussis, George V., Duijn, Cornelia M. van, Eriksson, Johan G., Franke, Barbara, Gasparini, Paolo, Gejman, Pablo V., Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick J. F., Gudnason, Vilmundur, Harst, Pim van der, Hayward, Caroline, Hinds, David A., Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G., Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon L. R., Lehrer, Steven F., Magnusson, Patrik K. E., Martin, Nicholas G., Mcgue, Matt, Pendleton, Neil, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A., Samani, Nilesh J., Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild I. A., Spector, Tim D., Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A. Roy, Timpson, Nicholas J., Tiemeier, Henning, Uitterlinden, André G., Vitart, Veronique, Vollenweider, Peter, Weir, David R., Wilson, James F., Wright, Alan F., Conley, Dalton C., Krueger, Robert F., Smith, George Davey, Hofman, Albert, Laibson, David I., Medland, Sarah E., Meyer, Michelle N., Johannesson, Magnu, Koellinger, Philipp D., Cesarini, David, Benjamin, Daniel J., Auton, Adam, Boardman, Jason D., Clark, David W., Conlin, Andrew, Dolan, Conor C., Fischbacher, Ur, Harris, Kathleen Mullan, Hasler, Gregor, Ikram, Mohammad A., Jain, Sonia, Kessler, Ronald C., Kooyman, Maarten, Mackillop, Jame, Männikkö, Minna, Morcillo-Suarez, Carlo, Mcqueen, Matthew B., Schmidt, Klaus M., Smart, Melissa C., Sutter, Matthia, White, Jon, Wit, Harriet de, Fehr, Ernst, Kumari, Meena, Laibson, David, Navarro, Arcadi, Palmer, Abraham A., Schunk, Daniel, Stein, Murray B., Svento, Rauli, Timmers, Paul R. H. J., Ursano, Robert J., Wagner, Gert G., Applied Economics, Hematology, Epidemiology, Urology, Department of Marketing Management, Internal Medicine, Medical Informatics, Cell biology, Erasmus MC other, Molecular Genetics, Econometrics, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, RS: Carim - V02 Hypertension and target organ damage, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Public Health Research (PHR), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Linnér, Richard Karlsson, Biroli , Pietro, Meddens, S Fleur W, and Beauchamp, Jonathan P

Subjects
Netherlands Twin Register (NTR), Male, LD, Medizin, Poison control, Genome-wide association study, DETERMINANTS, Cathie Marsh Institute, PREFERENCES, Q1, Genome-wide association studies, HV, 0302 clinical medicine, Genetics, Behavioral/methods, GWAS, Genetics & Heredity, Genetics, 0303 health sciences, PERSONALITY, Genetic Predisposition to Disease/genetics, Behavior/physiology, Polymorphism, Single Nucleotide/genetics, 3. Good health, Manchester Institute for Collaborative Research on Ageing, Meta-analysis, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Genetic Loci/genetics, Behavioural genetics, Genome-Wide Association Study/methods, Medical genetics, Female, Life Sciences & Biomedicine, Single Nucleotide/genetics, medicine.medical_specialty, ResearchInstitutes_Networks_Beacons/MICRA, Genotype, Single-nucleotide polymorphism, Genetics, Behavioral, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, ddc:330, medicine, GENDER-DIFFERENCES, SNP, Humans, Genetic Predisposition to Disease, Polymorphism, behavioural genetics, Behavioral/methods, 030304 developmental biology, Genetic association, Behavior, Science & Technology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Data Science, Case-control study, risk tolerance, GWAS, genetic architechture, Genetic Loci, Case-Control Studies, genome-wide association studies, ResearchInstitutes_Networks_Beacons/cathie_marsh_institute, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance. This research was carried out under the auspices of the Social Science Genetic Association Consortium. The research was also conducted using the UK Biobank Resource under application number 11425. The study was supported by funding from the Ragnar Söderberg Foundation (E9/11 and E42/15); the Swedish Research Council (421-2013-1061); the Jan Wallander and Tom Hedelius Foundation; an ERC Consolidator Grant to Philipp Koellinger (647648 EdGe); the Pershing Square Fund of the Foundations of Human Behavior; the Open Philanthropy Project; the National Institute on Aging, National Institutes of Health through grants P01-AG005842, P01-AG005842-20S2, P30-AG012810, and T32-AG000186-23 to the National Bureau of Economic Research and R01-AG042568-02 to the University of Southern California; the government of Canada through Genome Canada and the Ontario Genomics Institute (OGI-152); and the Social Sciences and Humanities Research Council of Canada. We thank the International Cannabis Consortium, the eQTLgen Consortium, and the Psychiatric Genomics Consortium for sharing summary statistics from the GWAS of lifetime cannabis use, eQTL summary statistics, and summary statistics from the GWAS of ADHD, respectively. A full list of acknowledgments is provided in the Supplementary Note.

Published
2019
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40. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Author

Qi, Ting, Wu, Yang, Zeng, Jian, Zhang, Futao, Xue, Angli, Jiang, Longda, Zhu, Zhihong, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, Agbessi, Mawussé, Ahsan, Habibul, Alves, Isabel, Andiappan, Anand, Awadalla, Philip, Battle, Alexis, Beutner, Frank, Jan Bonder, Marc, Boomsma, Dorret, Christiansen, Mark, Claringbould, Annique, Deelen, Patrick, Esko, Tõnu, Favé, Marie Julie, Franke, Lude, Frayling, Timothy, Gharib, Sina, Gibson, Gregory, Hemani, Gibran, Jansen, Rick, Kähönen, Mika, Kalnapenkis, Anette, Kasela, Silva, Kettunen, Johannes, Kim, Yungil, Kirsten, Holger, Kovacs, Peter, Krohn, Knut, Kronberg-Guzman, Jaanika, Kukushkina, Viktorija, Kutalik, Zoltan, Lee, Bernett, Lehtimäki, Terho, Loeffler, Markus, Marigorta, Urko M., Metspalu, Andres, Milani, Lili, Müller-Nurasyid, Martina, Nauck, Matthias, Nivard, Michel, Penninx, Brenda, Perola, Markus, Pervjakova, Natalia, Pierce, Brandon, Powell, Joseph, Prokisch, Holger, Psaty, Bruce, Raitakari, Olli, Ring, Susan, Ripatti, Samuli, Rotzschke, Olaf, Ruëger, Sina, Saha, Ashis, Scholz, Markus, Schramm, Katharina, Seppälä, Ilkka, Stumvoll, Michael, Sullivan, Patrick, Teumer, Alexander, Thiery, Joachim, Tong, Lin, Tönjes, Anke, Van Dongen, Jenny, Van Meurs, Joyce, Verlouw, Joost, Völker, Uwe, Võsa, Urmo, Yaghootkar, Hanieh, Zeng, Biao, Marioni, Riccardo E., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F., Yang, Jian, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Integrative Neurophysiology, APH - Personalized Medicine, Psychiatry, APH - Digital Health, Internal Medicine, Institute for Molecular Medicine Finland, University Management, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Doctoral Programme in Population Health, Samuli Olli Ripatti / Principal Investigator, Biostatistics Helsinki, and Complex Disease Genetics

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), General Physics and Astronomy, Genome-wide association study, data set, Transcriptome, 0302 clinical medicine, quantitative trait locus, expression quantitative trait locus, genetics, Tissue Distribution, lcsh:Science, Promoter Regions, Genetic, Regulation of gene expression, Genetics, 0303 health sciences, Multidisciplinary, DNA methylation, quantitative analysis, Brain, Phenotype, sample size, Enhancer Elements, Genetic, CpG site, genetic marker, enhancer region, Genetic Markers, Science, Quantitative Trait Loci, Quantitative trait locus, Biology, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, promoter region, blood, genetics of the nervous system, MD Multidisciplinary, Humans, human, gene, Gene, 030304 developmental biology, dNaM, General Chemistry, DNA, DNA Methylation, major clinical study, 030104 developmental biology, Gene Expression Regulation, Genetic marker, Expression quantitative trait loci, genome-wide association studies, gene expression, RNA, lcsh:Q, methylation, 3111 Biomedicine, gene regulation, metabolism, 030217 neurology & neurosurgery, meta analysis, Genome-Wide Association Study
Abstract

Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the top-associated cis-expression or -DNA methylation (DNAm) quantitative trait loci (cis-eQTLs or cis-mQTLs) between brain and blood (rb). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat r_b = 0.70$$\end{document}r^b=0.70 for cis-eQTLs and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat r_ b = 0.78$$\end{document}r^b=0.78 for cis-mQTLs). Using meta-analyzed brain cis-eQTL/mQTL data (n = 526 to 1194), we identify 61 genes and 167 DNAm sites associated with four brain-related phenotypes, most of which are a subset of the discoveries (97 genes and 295 DNAm sites) using data from blood with larger sample sizes (n = 1980 to 14,115). Our results demonstrate the gain of power in gene discovery for brain-related phenotypes using blood cis-eQTL/mQTL data with large sample sizes., To comprehend the genetic regulatory mechanisms underlying brain-related traits in humans, Qi et al. estimate the correlation of expression and DNA methylation QTL effects in cis between blood and brain and show that using blood eQTL/mQTL data of large sample size can increase power in gene discovery for brain-related traits and diseases.

Published
2018
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41. Genetic Regulation of Cytokine Response in Patients with Acute Community-Acquired Pneumonia.

Author

Kühnapfel, Andreas, Horn, Katrin, Klotz, Ulrike, Kiehntopf, Michael, Rosolowski, Maciej, Loeffler, Markus, Ahnert, Peter, Suttorp, Norbert, Witzenrath, Martin, and Scholz, Markus

Subjects
COMMUNITY-acquired pneumonia, GENOME-wide association studies, CYTOKINES, ACUTE diseases, PNEUMOCOCCAL meningitis, GENETIC regulation, GENETICS, GRANULOCYTES
Abstract

Background: Community-acquired pneumonia (CAP) is an acute disease condition with a high risk of rapid deteriorations. We analysed the influence of genetics on cytokine regulation to obtain a better understanding of patient's heterogeneity. Methods: For up to N = 389 genotyped participants of the PROGRESS study of hospitalised CAP patients, we performed a genome-wide association study of ten cytokines IL-1β, IL-6, IL-8, IL-10, IL-12, MCP-1 (MCAF), MIP-1α (CCL3), VEGF, VCAM-1, and ICAM-1. Consecutive secondary analyses were performed to identify independent hits and corresponding causal variants. Results: 102 SNPs from 14 loci showed genome-wide significant associations with five of the cytokines. The most interesting associations were found at 6p21.1 for VEGF (p = 1.58 × 10−20), at 17q21.32 (p = 1.51 × 10−9) and at 10p12.1 (p = 2.76 × 10−9) for IL-1β, at 10p13 for MIP-1α (CCL3) (p = 2.28 × 10−9), and at 9q34.12 for IL-10 (p = 4.52 × 10−8). Functionally plausible genes could be assigned to the majority of loci including genes involved in cytokine secretion, granulocyte function, and cilial kinetics. Conclusion: This is the first context-specific genetic association study of blood cytokine concentrations in CAP patients revealing numerous biologically plausible candidate genes. Two of the loci were also associated with atherosclerosis with probable common or consecutive pathomechanisms. [ABSTRACT FROM AUTHOR]

Published
2022
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42. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

Author

Tin, Adrienne, Marten, Jonathan, Halperin Kuhns, Victoria L, Li, Yong, Wuttke, Matthias, Kirsten, Holger, Sieber, Karsten B, Qiu, Chengxiang, Gorski, Mathias, Yu, Zhi, Giri, Ayush, Sveinbjornsson, Gardar, Li, Man, Chu, Audrey Y, Hoppmann, Anselm, O'Connor, Luke J, Prins, Bram, Nutile, Teresa, Noce, Damia, Akiyama, Masato, Cocca, Massimiliano, Ghasemi, Sahar, Van Der Most, Peter J, Horn, Katrin, Xu, Yizhe, Fuchsberger, Christian, Sedaghat, Sanaz, Afaq, Saima, Amin, Najaf, Ärnlöv, Johan, Bakker, Stephan JL, Bansal, Nisha, Baptista, Daniela, Bergmann, Sven, Biggs, Mary L, Biino, Ginevra, Boerwinkle, Eric, Bottinger, Erwin P, Boutin, Thibaud S, Brumat, Marco, Burkhardt, Ralph, Campana, Eric, Campbell, Archie, Campbell, Harry, Carroll, Robert J, Catamo, Eulalia, Chambers, John C, Ciullo, Marina, Concas, Maria Pina, Coresh, Josef, Corre, Tanguy, Cusi, Daniele, Felicita, Sala Cinzia, De Borst, Martin H, De Grandi, Alessandro, De Mutsert, Renée, De Vries, Aiko PJ, Delgado, Graciela, Demirkan, Ayşe, Devuyst, Olivier, Dittrich, Katalin, Eckardt, Kai-Uwe, Ehret, Georg, Endlich, Karlhans, Evans, Michele K, Gansevoort, Ron T, Gasparini, Paolo, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Gögele, Martin, Gordon, Scott D, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Study, German Chronic Kidney Disease, Haller, Toomas, Hamet, Pavel, Harris, Tamara B, Hayward, Caroline, Hicks, Andrew A, Hofer, Edith, Holm, Hilma, Huang, Wei, Hutri-Kähönen, Nina, Hwang, Shih-Jen, Ikram, M Arfan, Lewis, Raychel M, Ingelsson, Erik, Jakobsdottir, Johanna, Jonsdottir, Ingileif, Jonsson, Helgi, Joshi, Peter K, Josyula, Navya Shilpa, Jung, Bettina, Kähönen, Mika, Kamatani, Yoichiro, Kanai, Masahiro, Kerr, Shona M, Kiess, Wieland, Kleber, Marcus E, Koenig, Wolfgang, Kooner, Jaspal S, Körner, Antje, Kovacs, Peter, Krämer, Bernhard K, Kronenberg, Florian, Kubo, Michiaki, Kühnel, Brigitte, La Bianca, Martina, Lange, Leslie A, Lehne, Benjamin, Lehtimäki, Terho, Lifelines Cohort Study, Liu, Jun, Loeffler, Markus, Loos, Ruth JF, Lyytikäinen, Leo-Pekka, Magi, Reedik, Mahajan, Anubha, Martin, Nicholas G, März, Winfried, Mascalzoni, Deborah, Matsuda, Koichi, Meisinger, Christa, Meitinger, Thomas, Metspalu, Andres, Milaneschi, Yuri, V. A. Million Veteran Program, O'Donnell, Christopher J, Wilson, Otis D, Gaziano, J Michael, Mishra, Pashupati P, Mohlke, Karen L, Mononen, Nina, Montgomery, Grant W, Mook-Kanamori, Dennis O, Müller-Nurasyid, Martina, Nadkarni, Girish N, Nalls, Mike A, Nauck, Matthias, Nikus, Kjell, Ning, Boting, Nolte, Ilja M, Noordam, Raymond, O'Connell, Jeffrey R, Olafsson, Isleifur, Padmanabhan, Sandosh, Penninx, Brenda WJH, Perls, Thomas, Peters, Annette, Pirastu, Mario, Pirastu, Nicola, Pistis, Giorgio, Polasek, Ozren, Ponte, Belen, Porteous, David J, Poulain, Tanja, Preuss, Michael H, Rabelink, Ton J, Raffield, Laura M, Raitakari, Olli T, Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M, Rizzi, Federica, Robino, Antonietta, Rudan, Igor, Krajcoviechova, Alena, Cifkova, Renata, Rueedi, Rico, Ruggiero, Daniela, Ryan, Kathleen A, Saba, Yasaman, Salvi, Erika, Schmidt, Helena, Schmidt, Reinhold, Shaffer, Christian M, Smith, Albert V, Smith, Blair H, Spracklen, Cassandra N, Strauch, Konstantin, Stumvoll, Michael, Sulem, Patrick, Tajuddin, Salman M, Teren, Andrej, Thiery, Joachim, Thio, Chris HL, Thorsteinsdottir, Unnur, Toniolo, Daniela, Tönjes, Anke, Tremblay, Johanne, Uitterlinden, André G, Vaccargiu, Simona, Van Der Harst, Pim, Van Duijn, Cornelia M, Verweij, Niek, Völker, Uwe, Vollenweider, Peter, Waeber, Gerard, Waldenberger, Melanie, Whitfield, John B, Wild, Sarah H, Wilson, James F, Yang, Qiong, Zhang, Weihua, Zonderman, Alan B, Bochud, Murielle, Wilson, James G, Pendergrass, Sarah A, Ho, Kevin, Parsa, Afshin, Pramstaller, Peter P, Psaty, Bruce M, Böger, Carsten A, Snieder, Harold, Butterworth, Adam S, Okada, Yukinori, Edwards, Todd L, Stefansson, Kari, Susztak, Katalin, Scholz, Markus, Heid, Iris M, Hung, Adriana M, Teumer, Alexander, Pattaro, Cristian, Woodward, Owen M, Vitart, Veronique, and Köttgen, Anna

Subjects
Genetic Markers, Gout, Kidney, Polymorphism, Single Nucleotide, 3. Good health, Neoplasm Proteins, Uric Acid, Cohort Studies, Hepatocyte Nuclear Factor 4, Liver, Metabolic Diseases, Cardiovascular Diseases, Genetic Loci, Organ Specificity, ATP Binding Cassette Transporter, Subfamily G, Member 2, Humans, Genetic Predisposition to Disease, Hepatocyte Nuclear Factor 1-alpha, Genome-Wide Association Study, Signal Transduction
Abstract

Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.

43. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes

Author

Franceschini, Nora, Giambartolomei, Claudia, De Vries, Paul S, Finan, Chris, Bis, Joshua C, Huntley, Rachael P, Lovering, Ruth C, Tajuddin, Salman M, Winkler, Thomas W, Graff, Misa, Kavousi, Maryam, Dale, Caroline, Smith, Albert V, Hofer, Edith, Van Leeuwen, Elisabeth M, Nolte, Ilja M, Lu, Lingyi, Scholz, Markus, Sargurupremraj, Muralidharan, Pitkänen, Niina, Franzén, Oscar, Joshi, Peter K, Noordam, Raymond, Marioni, Riccardo E, Hwang, Shih-Jen, Musani, Solomon K, Schminke, Ulf, Palmas, Walter, Isaacs, Aaron, Correa, Adolfo, Zonderman, Alan B, Hofman, Albert, Teumer, Alexander, Cox, Amanda J, Uitterlinden, André G, Wong, Andrew, Smit, Andries J, Newman, Anne B, Britton, Annie, Ruusalepp, Arno, Sennblad, Bengt, Hedblad, Bo, Pasaniuc, Bogdan, Penninx, Brenda W, Langefeld, Carl D, Wassel, Christina L, Tzourio, Christophe, Fava, Cristiano, Baldassarre, Damiano, O'Leary, Daniel H, Teupser, Daniel, Kuh, Diana, Tremoli, Elena, Mannarino, Elmo, Grossi, Enzo, Boerwinkle, Eric, Schadt, Eric E, Ingelsson, Erik, Veglia, Fabrizio, Rivadeneira, Fernando, Beutner, Frank, Chauhan, Ganesh, Heiss, Gerardo, Snieder, Harold, Campbell, Harry, Völzke, Henry, Markus, Hugh S, Deary, Ian J, Jukema, J Wouter, De Graaf, Jacqueline, Price, Jacqueline, Pott, Janne, Hopewell, Jemma C, Liang, Jingjing, Thiery, Joachim, Engmann, Jorgen, Gertow, Karl, Rice, Kenneth, Taylor, Kent D, Dhana, Klodian, Kiemeney, Lambertus ALM, Lind, Lars, Raffield, Laura M, Launer, Lenore J, Holdt, Lesca M, Dörr, Marcus, Dichgans, Martin, Traylor, Matthew, Sitzer, Matthias, Kumari, Meena, Kivimaki, Mika, Nalls, Mike A, Melander, Olle, Raitakari, Olli, Franco, Oscar H, Rueda-Ochoa, Oscar L, Roussos, Panos, Whincup, Peter H, Amouyel, Philippe, Giral, Philippe, Anugu, Pramod, Wong, Quenna, Malik, Rainer, Rauramaa, Rainer, Burkhardt, Ralph, Hardy, Rebecca, Schmidt, Reinhold, De Mutsert, Renée, Morris, Richard W, Strawbridge, Rona J, Wannamethee, S Goya, Hägg, Sara, Shah, Sonia, McLachlan, Stela, Trompet, Stella, Seshadri, Sudha, Kurl, Sudhir, Heckbert, Susan R, Ring, Susan, Harris, Tamara B, Lehtimäki, Terho, Galesloot, Tessel E, Shah, Tina, De Faire, Ulf, Plagnol, Vincent, Rosamond, Wayne D, Post, Wendy, Zhu, Xiaofeng, Zhang, Xiaoling, Guo, Xiuqing, Saba, Yasaman, MEGASTROKE Consortium, Dehghan, Abbas, Seldenrijk, Adrie, Morrison, Alanna C, Hamsten, Anders, Psaty, Bruce M, Van Duijn, Cornelia M, Lawlor, Deborah A, Mook-Kanamori, Dennis O, Bowden, Donald W, Schmidt, Helena, Wilson, James F, Wilson, James G, Rotter, Jerome I, Wardlaw, Joanna M, Deanfield, John, Halcox, Julian, Lyytikäinen, Leo-Pekka, Loeffler, Markus, Evans, Michele K, Debette, Stéphanie, Humphries, Steve E, Völker, Uwe, Gudnason, Vilmundur, Hingorani, Aroon D, Björkegren, Johan LM, Casas, Juan P, and O'Donnell, Christopher J

Subjects
Quantitative Trait Loci, ADAMTS9 Protein, Coronary Disease, Carotid Intima-Media Thickness, Polymorphism, Single Nucleotide, Plaque, Atherosclerotic, 3. Good health, Protein-Lysine 6-Oxidase, Risk Factors, cardiovascular system, Humans, Genetic Predisposition to Disease, cardiovascular diseases, Amino Acid Oxidoreductases, Lod Score, Genome-Wide Association Study
Abstract

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

44. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

Author

Teumer, Alexander, Li, Yong, Ghasemi, Sahar, Prins, Bram P, Wuttke, Matthias, Hermle, Tobias, Giri, Ayush, Sieber, Karsten B, Qiu, Chengxiang, Kirsten, Holger, Tin, Adrienne, Chu, Audrey Y, Bansal, Nisha, Feitosa, Mary F, Wang, Lihua, Chai, Jin-Fang, Cocca, Massimiliano, Fuchsberger, Christian, Gorski, Mathias, Hoppmann, Anselm, Horn, Katrin, Li, Man, Marten, Jonathan, Noce, Damia, Nutile, Teresa, Sedaghat, Sanaz, Sveinbjornsson, Gardar, Tayo, Bamidele O, Van Der Most, Peter J, Xu, Yizhe, Yu, Zhi, Gerstner, Lea, Ärnlöv, Johan, Bakker, Stephan JL, Baptista, Daniela, Biggs, Mary L, Boerwinkle, Eric, Brenner, Hermann, Burkhardt, Ralph, Carroll, Robert J, Chee, Miao-Li, Chee, Miao-Ling, Chen, Mengmeng, Cheng, Ching-Yu, Cook, James P, Coresh, Josef, Corre, Tanguy, Danesh, John, De Borst, Martin H, De Grandi, Alessandro, De Mutsert, Renée, De Vries, Aiko PJ, Degenhardt, Frauke, Dittrich, Katalin, Divers, Jasmin, Eckardt, Kai-Uwe, Ehret, Georg, Endlich, Karlhans, Felix, Janine F, Franco, Oscar H, Franke, Andre, Freedman, Barry I, Freitag-Wolf, Sandra, Gansevoort, Ron T, Giedraitis, Vilmantas, Gögele, Martin, Grundner-Culemann, Franziska, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hamet, Pavel, Harris, Tamara B, Hicks, Andrew A, Holm, Hilma, Foo, Valencia Hui Xian, Hwang, Shih-Jen, Ikram, M Arfan, Ingelsson, Erik, Jaddoe, Vincent WV, Jakobsdottir, Johanna, Josyula, Navya Shilpa, Jung, Bettina, Kähönen, Mika, Khor, Chiea-Chuen, Kiess, Wieland, Koenig, Wolfgang, Körner, Antje, Kovacs, Peter, Kramer, Holly, Krämer, Bernhard K, Kronenberg, Florian, Lange, Leslie A, Langefeld, Carl D, Lee, Jeannette Jen-Mai, Lehtimäki, Terho, Lieb, Wolfgang, Lim, Su-Chi, Lind, Lars, Lindgren, Cecilia M, Liu, Jianjun, Loeffler, Markus, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Maranville, Joseph C, Mascalzoni, Deborah, McMullen, Barbara, Meisinger, Christa, Meitinger, Thomas, Miliku, Kozeta, Mook-Kanamori, Dennis O, Müller-Nurasyid, Martina, Mychaleckyj, Josyf C, Nauck, Matthias, Nikus, Kjell, Ning, Boting, Noordam, Raymond, Connell, Jeffrey O', Olafsson, Isleifur, Palmer, Nicholette D, Peters, Annette, Podgornaia, Anna I, Ponte, Belen, Poulain, Tanja, Pramstaller, Peter P, Rabelink, Ton J, Raffield, Laura M, Reilly, Dermot F, Rettig, Rainer, Rheinberger, Myriam, Rice, Kenneth M, Rivadeneira, Fernando, Runz, Heiko, Ryan, Kathleen A, Sabanayagam, Charumathi, Saum, Kai-Uwe, Schöttker, Ben, Shaffer, Christian M, Shi, Yuan, Smith, Albert V, Strauch, Konstantin, Stumvoll, Michael, Sun, Benjamin B, Szymczak, Silke, Tai, E-Shyong, Tan, Nicholas YQ, Taylor, Kent D, Teren, Andrej, Tham, Yih-Chung, Thiery, Joachim, Thio, Chris HL, Thomsen, Hauke, Thorsteinsdottir, Unnur, Tönjes, Anke, Tremblay, Johanne, Uitterlinden, André G, Van Der Harst, Pim, Verweij, Niek, Vogelezang, Suzanne, Völker, Uwe, Waldenberger, Melanie, Wang, Chaolong, Wilson, Otis D, Wong, Charlene, Wong, Tien-Yin, Yang, Qiong, Yasuda, Masayuki, Akilesh, Shreeram, Bochud, Murielle, Böger, Carsten A, Devuyst, Olivier, Edwards, Todd L, Ho, Kevin, Morris, Andrew P, Parsa, Afshin, Pendergrass, Sarah A, Psaty, Bruce M, Rotter, Jerome I, Stefansson, Kari, Wilson, James G, Susztak, Katalin, Snieder, Harold, Heid, Iris M, Scholz, Markus, Butterworth, Adam S, Hung, Adriana M, Pattaro, Cristian, and Köttgen, Anna

Subjects
Chromosome Mapping, 3. Good health, Drosophila melanogaster, Gene Expression Regulation, Meta-Analysis as Topic, Genetic Loci, Risk Factors, Creatinine, Diabetes Mellitus, Albuminuria, Animals, Humans, Genetic Predisposition to Disease, Phenomics, Genome-Wide Association Study
Abstract

Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria.

45. A catalog of genetic loci associated with kidney function from analyses of a million individuals

Author

Wuttke, Matthias, Li, Yong, Li, Man, Sieber, Karsten B, Feitosa, Mary F, Danesh, John, Ouwehand, Willem H, Heid, Iris M, Scholz, Markus, Teumer, Alexander, Köttgen, Anna, and Pattaro, Cristian

Subjects
urogenital system, Quantitative Trait Loci, Inheritance Patterns, Chromosome Mapping, Kidney Function Tests, Polymorphism, Single Nucleotide, White People, 3. Good health, Phenotype, Quantitative Trait, Heritable, Uromodulin, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic, Genetic Association Studies, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through trans-ancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these, 147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

46. Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

Author

Vogelezang, Suzanne, Bradfield, Jonathan P, Ahluwalia, Tarunveer S, Curtin, John A, Lakka, Timo A, Grarup, Niels, Scholz, Markus, Van Der Most, Peter J, Monnereau, Claire, Stergiakouli, Evie, Heiskala, Anni, Horikoshi, Momoko, Fedko, Iryna O, Vilor-Tejedor, Natalia, Cousminer, Diana L, Standl, Marie, Wang, Carol A, Viikari, Jorma, Geller, Frank, Íñiguez, Carmen, Pitkänen, Niina, Chesi, Alessandra, Bacelis, Jonas, Yengo, Loic, Torrent, Maties, Ntalla, Ioanna, Helgeland, Øyvind, Selzam, Saskia, Vonk, Judith M, Zafarmand, Mohammed H, Heude, Barbara, Farooqi, Ismaa Sadaf, Alyass, Akram, Beaumont, Robin N, Have, Christian T, Rzehak, Peter, Bilbao, Jose Ramon, Schnurr, Theresia M, Barroso, Inês, Bønnelykke, Klaus, Beilin, Lawrence J, Carstensen, Lisbeth, Charles, Marie-Aline, Chawes, Bo, Clément, Karine, Closa-Monasterolo, Ricardo, Custovic, Adnan, Eriksson, Johan G, Escribano, Joaquin, Groen-Blokhuis, Maria, Grote, Veit, Gruszfeld, Dariusz, Hakonarson, Hakon, Hansen, Torben, Hattersley, Andrew T, Hollensted, Mette, Hottenga, Jouke-Jan, Hyppönen, Elina, Johansson, Stefan, Joro, Raimo, Kähönen, Mika, Karhunen, Ville, Kiess, Wieland, Knight, Bridget A, Koletzko, Berthold, Kühnapfel, Andreas, Landgraf, Kathrin, Langhendries, Jean-Paul, Lehtimäki, Terho, Leinonen, Jaakko T, Li, Aihuali, Lindi, Virpi, Lowry, Estelle, Bustamante, Mariona, Medina-Gomez, Carolina, Melbye, Mads, Michaelsen, Kim F, Morgen, Camilla S, Mori, Trevor A, Nielsen, Tenna RH, Niinikoski, Harri, Oldehinkel, Albertine J, Pahkala, Katja, Panoutsopoulou, Kalliope, Pedersen, Oluf, Pennell, Craig E, Power, Christine, Reijneveld, Sijmen A, Rivadeneira, Fernando, Simpson, Angela, Sly, Peter D, Stokholm, Jakob, Teo, Kook K, Thiering, Elisabeth, Timpson, Nicholas J, Uitterlinden, André G, Van Beijsterveldt, Catharina EM, Van Schaik, Barbera DC, Vaudel, Marc, Verduci, Elvira, Vinding, Rebecca K, Vogel, Mandy, Zeggini, Eleftheria, Sebert, Sylvain, Lind, Mads V, Brown, Christopher D, Santa-Marina, Loreto, Reischl, Eva, Frithioff-Bøjsøe, Christine, Meyre, David, Wheeler, Eleanor, Ong, Ken, Nohr, Ellen A, Vrijkotte, Tanja GM, Koppelman, Gerard H, Plomin, Robert, Njølstad, Pål R, Dedoussis, George D, Froguel, Philippe, Sørensen, Thorkild IA, Jacobsson, Bo, Freathy, Rachel M, Zemel, Babette S, Raitakari, Olli, Vrijheid, Martine, Feenstra, Bjarke, Lyytikäinen, Leo-Pekka, Snieder, Harold, Kirsten, Holger, Holt, Patrick G, Heinrich, Joachim, Widén, Elisabeth, Sunyer, Jordi, Boomsma, Dorret I, Järvelin, Marjo-Riitta, Körner, Antje, Davey Smith, George, Holm, Jens-Christian, Atalay, Mustafa, Murray, Clare, Bisgaard, Hans, McCarthy, Mark I, Early Growth Genetics Consortium, Jaddoe, Vincent WV, Grant, Struan FA, and Felix, Janine F

Subjects
2. Zero hunger, Adult, Male, Menarche, Adolescent, Monosaccharide Transport Proteins, Waist-Hip Ratio, Nedd4 Ubiquitin Protein Ligases, nutritional and metabolic diseases, Cardiometabolic Risk Factors, Blood Pressure, Mendelian Randomization Analysis, 3. Good health, Body Mass Index, Diabetes Mellitus, Type 2, Cardiovascular Diseases, Child, Preschool, Humans, Female, Genetic Predisposition to Disease, Child, Genome-Wide Association Study
Abstract

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values

47. Genetically Determined Reproductive Aging and Coronary Heart Disease: A Bidirectional 2-sample Mendelian Randomization

Author

Veerle Dam, N Charlotte Onland-Moret, Stephen Burgess, Maria-Dolores Chirlaque, Sanne A E Peters, Ewoud Schuit, Kaja Tikk, Elisabete Weiderpass, Clare Oliver-Williams, Angela M Wood, Anne Tjønneland, Christina C Dahm, Kim Overvad, Marie-Christine Boutron-Ruault, Matthias B Schulze, Antonia Trichopoulou, Pietro Ferrari, Giovanna Masala, Vittorio Krogh, Rosario Tumino, Giuseppe Matullo, Salvatore Panico, Jolanda M A Boer, W M Monique Verschuren, Marit Waaseth, Maria José Sánchez Pérez, Pilar Amiano, Liher Imaz, Conchi Moreno-Iribas, Olle Melander, Sophia Harlid, Maria Nordendahl, Patrik Wennberg, Timothy J Key, Elio Riboli, Carmen Santiuste, Rudolf Kaaks, Verena Katzke, Claudia Langenberg, Nicholas J Wareham, Heribert Schunkert, Jeanette Erdmann, Christina Willenborg, Christian Hengstenberg, Marcus E Kleber, Graciela Delgado, Winfried März, Stavroula Kanoni, George Dedoussis, Panos Deloukas, Majid Nikpay, Ruth McPherson, Markus Scholz, Andrej Teren, Adam S Butterworth, Yvonne T van der Schouw, Dam, Veerle [0000-0002-5982-232X], Onland-Moret, N Charlotte [0000-0002-2360-913X], Burgess, Stephen [0000-0001-5365-8760], Chirlaque, Maria-Dolores [0000-0001-9242-3040], Schuit, Ewoud [0000-0002-9548-3214], Weiderpass, Elisabete [0000-0003-2237-0128], Overvad, Kim [0000-0001-6429-7921], Boutron-Ruault, Marie-Christine [0000-0002-5956-5693], Trichopoulou, Antonia [0000-0002-7204-6396], Ferrari, Pietro [0000-0001-9358-7338], Masala, Giovanna [0000-0002-5758-9069], Krogh, Vittorio [0000-0003-0122-8624], Panico, Salvatore [0000-0002-5498-8312], Harlid, Sophia [0000-0001-8540-6891], Riboli, Elio [0000-0001-6795-6080], Katzke, Verena [0000-0002-6509-6555], Schunkert, Heribert [0000-0001-6428-3001], Hengstenberg, Christian [0000-0002-8284-2994], Kleber, Marcus E [0000-0003-0663-7275], Deloukas, Panos [0000-0001-9251-070X], Nikpay, Majid [0000-0003-0285-6454], McPherson, Ruth [0000-0002-9087-6107], Scholz, Markus [0000-0002-4059-1779], and Apollo - University of Cambridge Repository

Subjects
Male, MENOPAUSE, Aging, IMPACT, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Coronary Disease, VARIANTS, Biochemistry, Polymorphism, Single Nucleotide, AGE, Endocrinology, Mendelian Randomization, Aging/genetics, Reproductive aging, risk factors, Humans, cardiovascular diseases, GENOME-WIDE ASSOCIATION, coronary heart disease, Coronary Disease/epidemiology, RISK, MORTALITY, Biochemistry (medical), Mendelian Randomization Analysis, Coronary heart disease, BIAS, Risk factors, reproductive aging, Genome-Wide Association Study/methods, Female, FASTING GLUCOSE, Genome-Wide Association Study
Abstract

The EPIC-CVD project was supported by the European Union Framework 7 (HEALTH-F2-2012-279233), the European Research Council (268834), the UK Medical Research Council (G0800270, MR/L003120/1), the British Heart Foundation (SP/09/002, RG/08/014, RG13/13/30194), and the UK National Institute of Health Research (to EPIC-CVD). The establishment of the subcohort was supported by the EU Sixth Framework Programme (FP6) (grant LSHM_CT_2006_037197 to the InterAct project) and the Medical Research Council Epidemiology Unit (grants MC_ UU_12015/1 and MC_UU_12015/5). The national EPIC cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Generale de l'Education Nationale, Institut National de la Sante et de la Recherche Medicale (INSERM) (France); Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); Ministry of Health and Social Solidarity, Stavros Niarchos Foundation and Hellenic Health Foundation (Greece); Italian Association for Research on Cancer (AIRC) and National Research Council (Italy) and MIUR "Dipartimenti di Eccellenza"(Project D15D18000410001) to the Department of Medical Sciences; Dutch Ministry of Public Health, Welfare and Sports (VWS), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF); ERC-2009-AdG 232997 and Nordforsk, Nordic Centre of Excellence programme on Food, Nutrition and Health (Norway); Health Research Fund (FIS), Regional Governments of Andalucia, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC (RD06/0020) (Spain); Swedish Cancer Society, Swedish Scientific Council and Regional Government of Skane and Vasterbotten (Sweden); and Cancer Research UK, Medical Research Council (United Kingdom). LIFE-Heart is funded by the Leipzig Research Center for Civilization Diseases (LIFE). LIFE is an organizational unit affiliated to the Medical Faculty of the University of Leipzig. LIFE is funded by means of the European Union, by the European Regional Development Fund (ERDF), and by funds of the Free State of Saxony within the framework of the excellence initiative. This work is supported by the Dutch Heart Foundation (2013T083 to V.D.), by a UK Medical Research Council Skills Development Fellowship (MR/P014550/1 to S.A.E.P.), and by a Sir Henry Dale Fellowship jointly funded by the Welcome Trust and the Royal Society (204623/Z/16/Z to S.B.). None of the funding sources had a role in the collection, analysis, and interpretation of the data, nor in the decision to submit the article for publication., Background: Accelerated reproductive aging, in women indicated by early natural menopause, is associated with increased coronary heart disease (CHD) risk in observational studies. Conversely, an adverse CHD risk profile has been suggested to accelerate menopause. Objectives: To study the direction and evidence for causality of the relationship between reproductive aging and (non-)fatal CHD and CHD risk factors in a bidirectional Mendelian randomization (MR) approach, using age at natural menopause (ANM) genetic variants as a measure for genetically determined reproductive aging in women. We also studied the association of these variants with CHD risk (factors) in men. Design: Two-sample MR, using both cohort data as well as summary statistics, with 4 methods: simple and weighted median-based, standard inverse-variance weighted (IVW) regression, and MR-Egger regression. Participants: Data from EPIC-CVD and summary statistics from UK Biobank and publicly available genome-wide association studies were pooled for the different analyses. Main Outcome Measures: CHD, CHD risk factors, and ANM. Results: Across different methods of MR, no association was found between genetically determined reproductive aging and CHD risk in women (relative risk estimateIVW = 0.99; 95% confidence interval (CI), 0.97-1.01), or any of the CHD risk factors. Similarly, no associations were found in men. Neither did the reversed analyses show evidence for an association between CHD (risk factors) and reproductive aging. Conclusion: Genetically determined reproductive aging is not causally associated with CHD risk (factors) in women, nor were the genetic variants associated in men. We found no evidence for a reverse association in a combined sample of women and men., European Commission HEALTH-F2-2012-279233 European Research Council (ERC) European Commission 268834, UK Research & Innovation (UKRI) Medical Research Council UK (MRC) G0800270 MR/L003120/1 British Heart Foundation SP/09/002 RG/08/014 RG13/13/30194, National Institute for Health Research (NIHR), EU Sixth Framework Programme (FP6) LSHM_CT_2006_037197, UK Research & Innovation (UKRI), Medical Research Council UK (MRC) MC_ UU_12015/1 MC_UU_12015/5, Danish Cancer Society, Ligue Contre le Cancer (France), Institut Gustave Roussy (France), Mutuelle Generale de l'Education Nationale (France), Institut National de la Sante et de la Recherche Medicale (Inserm), Deutsche Krebshilfe Federal Ministry of Education & Research (BMBF) Deutsches Krebsforschungszentrum (Germany), Ministry of Health and Social Solidarity (Greece) Stavros Niarchos Foundation (Greece) Hellenic Health Foundation (Greece), Fondazione AIRC per la ricerca sul cancro Consiglio Nazionale delle Ricerche (CNR) MIUR "Dipartimenti di Eccellenza" D15D18000410001, Dutch Ministry of Public Health, Welfare and Sports, LK Research Funds, Dutch Prevention Funds Netherlands Organization for Scientific Research (NWO), World Cancer Research Fund International (WCRF) ERC-2009-AdG 232997, Nordforsk, Nordic Centre of Excellence programme on Food, Nutrition and Health (Norway), Instituto de Salud Carlos III, Junta de Andalucia, Principality of Asturias, Regional Government of Basque Country (Spain) Regional Government of Murcia (Spain) Regional Government of Navarra (Spain), Instituto de Salud Carlos III RD06/0020, Swedish Cancer Society Swedish Scientific Council (Sweden) Regional Government of Skane and Vasterbotten (Sweden), Cancer Research UK UK Research & Innovation (UKRI) Medical Research Council UK (MRC), Leipzig Research Center for Civilization Diseases (LIFE), European Commission, Free State of Saxony, Netherlands Heart Foundation 2013T083, Medical Research Council UK (MRC) MR/P014550/1, Sir Henry Dale Fellowship - Welcome Trust 204623/Z/16/Z, Sir Henry Dale Fellowship - Royal Society 204623/Z/16/Z

Published
2022
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48. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

Author

Tobias Hermle, Holger Kirsten, Karsten B. Sieber, Aiko P. J. de Vries, Su Chi Lim, Peter Kovacs, Charumathi Sabanayagam, Carl D. Langefeld, Bernhard K. Krämer, Kent D. Taylor, Janine F. Felix, Belen Ponte, Markus Loeffler, Mary F. Feitosa, Kai-Uwe Eckardt, Jianjun Liu, Katalin Dittrich, Charlene A. Wong, Uwe Völker, Adriana M. Hung, Thomas Meitinger, Anubha Mahajan, Anselm Hoppmann, Erik Ingelsson, Martin H. de Borst, Oscar H. Franco, Niek Verweij, Kai-Uwe Saum, Vilmundur Gudnason, Bram P. Prins, Carsten A. Böger, Terho Lehtimäki, Andrew A. Hicks, Todd L. Edwards, Olivier Devuyst, Peter P. Pramstaller, Katrin Horn, Leslie A. Lange, Johanne Tremblay, Jin-Fang Chai, Sahar Ghasemi, Kjell Nikus, Tanja Poulain, Massimiliano Cocca, Anna Köttgen, Eric Boerwinkle, Barry I. Freedman, Miao-Ling Chee, Man Li, Stephan J. L. Bakker, Tamara B. Harris, Albert V. Smith, Ton J. Rabelink, Dennis O. Mook-Kanamori, Iris M. Heid, Jasmin Divers, Chaolong Wang, Kathleen A. Ryan, Pavel Hamet, Silke Szymczak, Shih-Jen Hwang, Hauke Thomsen, Rainer Rettig, Ayush Giri, Fernando Rivadeneira, Leo-Pekka Lyytikäinen, Cristian Pattaro, Andrej Teren, Valencia Hui Xian Foo, Myriam Rheinberger, Audrey Y. Chu, Barbara McMullen, Franziska Grundner-Culemann, Masayuki Yasuda, Murielle Bochud, Martin Gögele, Anke Tönjes, Jeannette Lee, Adrienne Tin, Kevin Ho, Konstantin Strauch, Josef Coresh, Renée de Mutsert, Sandra Freitag-Wolf, Gardar Sveinbjornsson, Yizhe Xu, Katalin Susztak, Tien Yin Wong, Mary L. Biggs, Isleifur Olafsson, Qiong Yang, Antje Körner, Chengxiang Qiu, E-Shyong Tai, Martina Müller-Nurasyid, Ben Schöttker, Jeffrey O' Connell, Mengmeng Chen, Daniel F. Gudbjartsson, Dermot F. Reilly, Vincent W. V. Jaddoe, Damia Noce, Pim van der Harst, Sanaz Sedaghat, Chiea Chuen Khor, Adam S. Butterworth, Mathias Gorski, Robert J. Carroll, James G. Wilson, Johan Ärnlöv, Christa Meisinger, Kenneth Rice, Bettina Jung, Christian M. Shaffer, Unnur Thorsteinsdottir, Matthias Nauck, Shreeram Akilesh, Mika Kähönen, Johanna Jakobsdottir, Melanie Waldenberger, Ralph Burkhardt, Daniela Baptista, John Danesh, Benjamin B. Sun, Karlhans Endlich, Holly Kramer, Frauke Degenhardt, Wolfgang Lieb, Kari Stefansson, Joachim Thiery, Lars Lind, Nicholette D. Palmer, Sarah A. Pendergrass, Suzanne Vogelezang, Peter J. van der Most, Afshin Parsa, Markus Scholz, Florian Kronenberg, Joseph C. Maranville, Laura M. Raffield, Hermann Brenner, Wieland Kiess, Anna I. Podgornaia, Yuan Shi, Tanguy Corre, Miao-Li Chee, Deborah Mascalzoni, Bamidele O. Tayo, Navya Shilpa Josyula, Ching-Yu Cheng, Lea Gerstner, Nisha Bansal, Jerome I. Rotter, Alexander Teumer, Vilmantas Giedraitis, Raymond Noordam, Ron T. Gansevoort, Lihua Wang, Andrew P. Morris, Bruce M. Psaty, Boting Ning, Zhi Yu, Christian Fuchsberger, Matthias Wuttke, Heiko Runz, Annette Peters, Yih Chung Tham, James P. Cook, Yong Li, Chris H. L. Thio, Hilma Holm, Alessandro De Grandi, Jonathan Marten, André G. Uitterlinden, Andre Franke, Nicholas Y. Q. Tan, Otis D. Wilson, Georg Ehret, Cecilia M. Lindgren, Josyf C. Mychaleckyj, Wolfgang Koenig, Harold Snieder, Michael Stumvoll, Kozeta Miliku, M. Arfan Ikram, Teresa Nutile, Læknadeild (HÍ), Faculty of Medicine (UI), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands, University of Iceland, Teumer, Alexander [0000-0002-8309-094X], Li, Yong [0000-0003-2651-8791], Wuttke, Matthias [0000-0003-3420-5082], Giri, Ayush [0000-0002-7786-4670], Qiu, Chengxiang [0000-0002-6346-8669], Kirsten, Holger [0000-0002-3126-7950], Tin, Adrienne [0000-0002-4207-5866], Feitosa, Mary F. [0000-0002-0933-2410], Chai, Jin-Fang [0000-0003-3770-1137], Cocca, Massimiliano [0000-0002-1127-7596], Gorski, Mathias [0000-0002-9103-5860], Horn, Katrin [0000-0002-5307-6936], Li, Man [0000-0002-3839-0281], Marten, Jonathan [0000-0001-6916-2014], van der Most, Peter J. [0000-0001-8450-3518], Burkhardt, Ralph [0000-0003-1924-1202], Coresh, Josef [0000-0002-4598-0669], de Borst, Martin H. [0000-0002-4127-8733], Ehret, Georg [0000-0002-5730-0675], Endlich, Karlhans [0000-0001-6052-6061], Felix, Janine F. [0000-0002-9801-5774], Franke, Andre [0000-0003-1530-5811], Freedman, Barry I. [0000-0003-0275-5530], Freitag-Wolf, Sandra [0000-0002-1069-7740], Giedraitis, Vilmantas [0000-0003-3423-2021], Grundner-Culemann, Franziska [0000-0001-9649-281X], Gudnason, Vilmundur [0000-0001-5696-0084], Hicks, Andrew A. [0000-0001-6320-0411], Ikram, M. Arfan [0000-0003-0372-8585], Ingelsson, Erik [0000-0003-2256-6972], Jaddoe, Vincent W. V. [0000-0003-2939-0041], Josyula, Navya Shilpa [0000-0003-2782-8812], Khor, Chiea-Chuen [0000-0002-1128-4729], Koenig, Wolfgang [0000-0002-2064-9603], Kovacs, Peter [0000-0002-0290-5423], Kronenberg, Florian [0000-0003-2229-1120], Lindgren, Cecilia M. [0000-0002-4903-9374], Liu, Jianjun [0000-0002-3255-3019], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Mahajan, Anubha [0000-0001-5585-3420], Mascalzoni, Deborah [0000-0003-4156-1464], Miliku, Kozeta [0000-0002-9614-7191], Müller-Nurasyid, Martina [0000-0003-3793-5910], Mychaleckyj, Josyf C. [0000-0003-2595-0005], Palmer, Nicholette D. [0000-0001-8883-2511], Poulain, Tanja [0000-0003-3825-5829], Raffield, Laura M. [0000-0002-7892-193X], Rice, Kenneth M. [0000-0002-3071-7278], Rivadeneira, Fernando [0000-0001-9435-9441], Sabanayagam, Charumathi [0000-0002-4042-4719], Smith, Albert V. [0000-0003-1942-5845], Sun, Benjamin B. [0000-0001-6347-2281], Szymczak, Silke [0000-0002-8897-9035], Taylor, Kent D. [0000-0002-2756-4370], Thio, Chris H. L. [0000-0003-2623-7172], Uitterlinden, André G. [0000-0002-7276-3387], van der Harst, Pim [0000-0002-2713-686X], Verweij, Niek [0000-0002-4303-7685], Völker, Uwe [0000-0002-5689-3448], Wang, Chaolong [0000-0003-3945-1012], Yang, Qiong [0000-0002-3658-1375], Devuyst, Olivier [0000-0003-3744-4767], Edwards, Todd L. [0000-0003-4318-6119], Ho, Kevin [0000-0002-3054-8697], Morris, Andrew P. [0000-0002-6805-6014], Pendergrass, Sarah A. [0000-0002-0565-6522], Rotter, Jerome I. [0000-0001-7191-1723], Stefansson, Kari [0000-0003-1676-864X], Susztak, Katalin [0000-0002-1005-3726], Scholz, Markus [0000-0002-4059-1779], Butterworth, Adam S. [0000-0002-6915-9015], Hung, Adriana M. [0000-0002-3203-1608], Pattaro, Cristian [0000-0002-4119-0109], Köttgen, Anna [0000-0002-4671-3714], Apollo - University of Cambridge Repository, Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Epidemiology, Erasmus MC other, Pediatrics, Internal Medicine, Feitosa, Mary F [0000-0002-0933-2410], van der Most, Peter J [0000-0001-8450-3518], de Borst, Martin H [0000-0002-4127-8733], Felix, Janine F [0000-0002-9801-5774], Freedman, Barry I [0000-0003-0275-5530], Hicks, Andrew A [0000-0001-6320-0411], Ikram, M Arfan [0000-0003-0372-8585], Jaddoe, Vincent WV [0000-0003-2939-0041], Lindgren, Cecilia M [0000-0002-4903-9374], Mychaleckyj, Josyf C [0000-0003-2595-0005], Palmer, Nicholette D [0000-0001-8883-2511], Raffield, Laura M [0000-0002-7892-193X], Rice, Kenneth M [0000-0002-3071-7278], Smith, Albert V [0000-0003-1942-5845], Sun, Benjamin B [0000-0001-6347-2281], Taylor, Kent D [0000-0002-2756-4370], Thio, Chris HL [0000-0003-2623-7172], Uitterlinden, André G [0000-0002-7276-3387], Edwards, Todd L [0000-0003-4318-6119], Morris, Andrew P [0000-0002-6805-6014], Pendergrass, Sarah A [0000-0002-0565-6522], Rotter, Jerome I [0000-0001-7191-1723], Butterworth, Adam S [0000-0002-6915-9015], and Hung, Adriana M [0000-0002-3203-1608]

Subjects
0301 basic medicine, Drosophila melanogaster/genetics, Diabetes Mellitus/genetics, LD SCORE REGRESSION, 030232 urology & nephrology, 45/43, General Physics and Astronomy, Genome-wide association study, BLOOD-PRESSURE, Bioinformatics, GLOMERULAR-FILTRATION-RATE, Genome-wide association studies, Diabetes mellitus genetics, 0302 clinical medicine, Creatinine/urine, Risk Factors, Genome-wide, Phenomics, lcsh:Science, ddc:616, Regulation of gene expression, RISK, Gene knockdown, Kidney diseases, Multidisciplinary, HERITABILITY, Albuminuria/genetics, article, Chromosome Mapping, Kidney disease, ddc, 3. Good health, Drosophila melanogaster, Creatinine, Nýrnasjúkdómar, 692/4022/1585, Slit diaphragm, Medical genetics, medicine.symptom, Erfðarannsóknir, Medical Genetics, medicine.medical_specialty, Science, 631/208/205/2138, 610 Medicine & health, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Meta-Analysis as Topic, 360 Social problems & social services, Diabetes Mellitus, medicine, Animals, Humans, Albuminuria, Genetic Predisposition to Disease, ddc:610, EXCRETION RATE, CARDIOVASCULAR EVENTS, Genetic association, Medicinsk genetik, TRANS-EQTLS, KIDNEY-DISEASE, General Chemistry, 030104 developmental biology, Gene Expression Regulation, Genetic Loci, COLLABORATIVE METAANALYSIS, lcsh:Q, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein)., Increased levels of the urinary albumin-to-creatinine ratio (UACR) are associated with higher risk of kidney disease progression and cardiovascular events, but underlying mechanisms are incompletely understood. Here, we conduct trans-ethnic (n = 564,257) and European-ancestry specific meta-analyses of genome-wide association studies of UACR, including ancestry- and diabetes-specific analyses, and identify 68 UACR-associated loci. Genetic correlation analyses and risk score associations in an independent electronic medical records database (n = 192,868) reveal connections with proteinuria, hyperlipidemia, gout, and hypertension. Fine-mapping and trans-Omics analyses with gene expression in 47 tissues and plasma protein levels implicate genes potentially operating through differential expression in kidney (including TGFB1, MUC1, PRKCI, and OAF), and allow coupling of UACR associations to altered plasma OAF concentrations. Knockdown of OAF and PRKCI orthologs in Drosophila nephrocytes reduces albumin endocytosis. Silencing fly PRKCI further impairs slit diaphragm formation. These results generate a priority list of genes and pathways for translational research to reduce albuminuria., Competing interests: Karsten B. Sieber is full-time employee of GlaxoSmithKline. Gardar Sveinbjornsson, Daniel F. Gudbjartsson, Hilma Holm, Unnur Thorsteinsdottir and Kari Stefansson are full-time employees of deCODE genetics, Amgen Inc. John Danesh is member of the Novartis Cardiovascular and Metabolic Advisory Board, received grant support from Novartis. Oscar H. Franco works in ErasmusAGE, a center for aging research across the life course funded by Nestlé Nutrition (Nestec Ltd.), Metagenics Inc., and AXA. Wolfgang Koenig received modest consultation fees for advisory board meetings from Amgen, DalCor, Kowa, Novartis, Pfizer and Sanofi, and modest personal fees for lectures from Amgen, AstraZeneca, Novartis, Pfizer and Sanofi. Anna I. Podgornaia and Dermot F. Reilly are employees of Merck Sharp Dohme Corp., Whitehouse Station, NJ, USA. Kevin Ho disclosed a research and financial relationship with Sanofi-Genzyme. Bruce M. Psaty serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Markus Scholz: Consultancy of and grant support from Merck Serono not related to this project. Adam S. Butterworth received grants from MSD, Pfizer, Novartis, Biogen and Bioverativ and personal fees from Novartis. Anna Köttgen received grant support from Gruenenthal not related to this project. The other authors declare no competing interests.

Published
2019
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49. GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes

Author

Tina Shah, E. C. M. van Leeuwen, Jingjing Liang, Susan M. Ring, Alexander Teumer, P Anugu, Salman M. Tajuddin, Aaron Isaacs, Jorgen Engmann, Marcus Dörr, Kenneth Rice, Anne B. Newman, Sonia Shah, Lenore J. Launer, Diana Kuh, Panos Roussos, P. De Vries, Bo Hedblad, Xiaofeng Zhu, Walter Palmas, John E. Deanfield, Debbie A Lawlor, Ganesh Chauhan, Dennis O. Mook-Kanamori, André G. Uitterlinden, Sudha Seshadri, Ilja M. Nolte, Elmo Mannarino, Daniel H. O'Leary, Susan R. Heckbert, Bogdan Pasaniuc, Solomon K. Musani, Rebecca Hardy, Rainer Malik, Lesca M. Holdt, Lars Lind, Reinhold Schmidt, R. de Mutsert, Aroon D. Hingorani, Riccardo E. Marioni, P. Amouyel, Albert V. Smith, Janne Pott, Eric E. Schadt, Lyytikäinen L-P., Raymond Noordam, Stéphanie Debette, Oscar H. Franco, Vincent Plagnol, Gerardo Heiss, Brenda W.J.H. Penninx, SG Wannamethee, Carl D. Langefeld, Stella Trompet, C.M. van Duijn, Tessel E. Galesloot, Peter K. Joshi, Maryam Kavousi, Juan P. Casas, Joanna M. Wardlaw, P. Giral, Julian Halcox, Björkegren Jlm., U de Faire, Andries J. Smit, Christina L. Wassel, Christopher J. O'Donnell, Matthew Traylor, Uwe Völker, Mika Kivimäki, Jenna Price, Quenna Wong, Chris Finan, Wayne D. Rosamond, Markus Loeffler, Harry Campbell, L Lu, Jerome I. Rotter, Joop Jukema, Karl Gertow, Edith Hofer, Hugh S. Markus, Albert Hofman, Peter H. Whincup, James G. Wilson, Michelle K. Evans, Enzo Grossi, Matthias Sitzer, Martin Dichgans, Oscar L. Rueda-Ochoa, J. C. Bis, Klodian Dhana, Ralph Burkhardt, Harold Snieder, Kiemeney Lalm., Daniel Teupser, A C Morrison, Markus Scholz, Ulf Schminke, Richard W Morris, Meena Kumari, Caroline Dale, Helena Schmidt, Sara Hägg, Niina Pitkänen, Fabrizio Veglia, Donald W. Bowden, Olli T. Raitakari, Joachim Thiery, Anders Hamsten, Muralidharan Sargurupremraj, Hwang S-J., Elena Tremoli, Stela McLachlan, Amanda J. Cox, Kent D. Taylor, Frank Beutner, Henry Völzke, Terho Lehtimäki, Abbas Dehghan, Ruth C. Lovering, Rachael P. Huntley, Mike A. Nalls, Jemma C. Hopewell, Erik Ingelsson, Claudia Giambartolomei, Bruce M. Psaty, Annie Britton, A Seldenrijk, Bengt Sennblad, Olle Melander, J. de Graaf, Adolfo Correa, Fernando Rivadeneira, Oscar Franzén, Laura M. Raffield, Alan B. Zonderman, Rona J. Strawbridge, Thomas W. Winkler, Ian J. Deary, Misa Graff, Wendy S. Post, Andrew Wong, T.B. Harris, Yasaman Saba, Arno Ruusalepp, James F. Wilson, Vilmundur Gudnason, Eric Boerwinkle, Damiano Baldassarre, Cristiano Fava, S.E. Humphries, Sudhir Kurl, Rainer Rauramaa, Christophe Tzourio, Xuejiang Guo, Nora Franceschini, Xiaoling Zhang, Biochemie, RS: FHML MaCSBio, RS: CARIM - R1.06 - Genetic Epidemiology and Genomics of cardiovascular diseases, RS: CARIM - R1.01 - Blood proteins & engineering, Life Course Epidemiology (LCE), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), Faculty of Medicine (UI), Læknadeild (HÍ), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Giambartolomei, Claudia [0000-0003-2786-1225], Huntley, Rachael P [0000-0001-6718-3559], Lovering, Ruth C [0000-0002-9791-0064], Tajuddin, Salman M [0000-0002-7919-8528], Winkler, Thomas W [0000-0003-0292-5421], Nolte, Ilja M [0000-0001-5047-4077], Scholz, Markus [0000-0002-4059-1779], Joshi, Peter K [0000-0002-6361-5059], Isaacs, Aaron [0000-0001-5037-4834], Correa, Adolfo [0000-0002-9501-600X], Teumer, Alexander [0000-0002-8309-094X], Wong, Andrew [0000-0003-2079-4779], Newman, Anne B [0000-0002-0106-1150], Sennblad, Bengt [0000-0002-4360-8003], Baldassarre, Damiano [0000-0002-2766-8882], Kuh, Diana [0000-0001-7386-2857], Schadt, Eric E [0000-0002-7892-8808], Rivadeneira, Fernando [0000-0001-9435-9441], Jukema, J Wouter [0000-0002-3246-8359], Rice, Kenneth [0000-0002-3071-7278], Dhana, Klodian [0000-0002-6397-7009], Dichgans, Martin [0000-0002-0654-387X], Traylor, Matthew [0000-0001-6624-8621], Kivimaki, Mika [0000-0002-4699-5627], Roussos, Panos [0000-0002-4640-6239], Amouyel, Philippe [0000-0001-9088-234X], Burkhardt, Ralph [0000-0003-1924-1202], Morris, Richard W [0000-0001-7240-4563], Hägg, Sara [0000-0002-2452-1500], Lawlor, Deborah A [0000-0002-6793-2262], Wilson, James F [0000-0001-5751-9178], Wardlaw, Joanna M [0000-0002-9812-6642], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Gudnason, Vilmundur [0000-0001-5696-0084], Apollo - University of Cambridge Repository, Psychiatry, APH - Mental Health, APH - Digital Health, Epidemiology, Internal Medicine, and Experimental Immunology

Subjects
0301 basic medicine, Candidate gene, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], General Physics and Astronomy, Genome-wide association study, Coronary Disease, VARIANTS, Carotid Intima-Media Thickness, Coronary artery disease, Protein-Lysine 6-Oxidase, Risk Factors, Medicine, genetics, Cardiac and Cardiovascular Systems, Blóðrásarsjúkdómar, lcsh:Science, GENE-PRODUCT, cardiovascular genetics, Multidisciplinary, Kardiologi, Plaque, Atherosclerotic, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Cardiology, cardiovascular system, Medical genetics, CORONARY-ARTERY-DISEASE, HEART, Amino Acid Oxidoreductases, Erfðarannsóknir, Medical Genetics, medicine.medical_specialty, MEGASTROKE Consortium, Science, Quantitative Trait Loci, ADAMTS9 Protein, INTEGRATIVE ANALYSIS, Locus (genetics), 610 Medicine & health, Quantitative trait locus, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, 360 Social problems & social services, Internal medicine, MD Multidisciplinary, Humans, Erfðafræði, intima media thickness, Genetic Predisposition to Disease, cardiovascular diseases, GENOME-WIDE ASSOCIATION, METAANALYSIS, Genetic association, Medicinsk genetik, business.industry, General Chemistry, medicine.disease, 030104 developmental biology, Intima-media thickness, genome-wide association studies, quantitative trait loci, lcsh:Q, atherosclerosis, Lod Score, hjarta, business, Genome-Wide Association Study
Abstract

Publisher's version (útgefin grein), Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans., The work was supported by the following grants: National Institute of Health grants: R21HL123677, R21-HL140385, DK104806-01A1, R01-MD012765-01A1 (NF), National Institutes of Health awards R01HG009120, R01HG006399, U01CA194393, T32NS048004 (CG), the American Heart Association Grant #17POST33350042 (PV), the British Heart Foundation (RG/13/5/30112) and the National Institute for Health Research University College London Hospitals Biomedical Research Centre (RCL and RPH), the British Heart Foundation FS/14/55/30806 (JCH), the German Federal Ministry of Education and Research (BMBF) in the context of the e:Med program (e:AtheroSysMed), the DFG as part of the CRC 1123 (B3), and the FP7/2007-2103 European Union project CVgenes@target (grant agreement number Health-F2-2013-601456). We thank Li-Ming Gan for assistance with the STARNET study and Jon White for assistance with UCLEB analyses. Additional acknowledgements are included in Supplementary Note 2.

Published
2018
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