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Start Over Author "Lieb, W." Topic genetic predisposition to disease
44 results on '"Lieb, W."'

1. Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.

Author

Schormair B, Zhao C, Bell S, Didriksen M, Nawaz MS, Schandra N, Stefani A, Högl B, Dauvilliers Y, Bachmann CG, Kemlink D, Sonka K, Paulus W, Trenkwalder C, Oertel WH, Hornyak M, Teder-Laving M, Metspalu A, Hadjigeorgiou GM, Polo O, Fietze I, Ross OA, Wszolek ZK, Ibrahim A, Bergmann M, Kittke V, Harrer P, Dowsett J, Chenini S, Ostrowski SR, Sørensen E, Erikstrup C, Pedersen OB, Topholm Bruun M, Nielsen KR, Butterworth AS, Soranzo N, Ouwehand WH, Roberts DJ, Danesh J, Burchell B, Furlotte NA, Nandakumar P, Earley CJ, Ondo WG, Xiong L, Desautels A, Perola M, Vodicka P, Dina C, Stoll M, Franke A, Lieb W, Stewart AFR, Shah SH, Gieger C, Peters A, Rye DB, Rouleau GA, Berger K, Stefansson H, Ullum H, Stefansson K, Hinds DA, Di Angelantonio E, Oexle K, and Winkelmann J

Subjects
Humans, Risk Factors, Female, Male, Polymorphism, Single Nucleotide, Mendelian Randomization Analysis, Machine Learning, Restless Legs Syndrome genetics, Genome-Wide Association Study, Genetic Predisposition to Disease
Abstract

Restless legs syndrome (RLS) affects up to 10% of older adults. Their healthcare is impeded by delayed diagnosis and insufficient treatment. To advance disease prediction and find new entry points for therapy, we performed meta-analyses of genome-wide association studies in 116,647 individuals with RLS (cases) and 1,546,466 controls of European ancestry. The pooled analysis increased the number of risk loci eightfold to 164, including three on chromosome X. Sex-specific meta-analyses revealed largely overlapping genetic predispositions of the sexes (r g  = 0.96). Locus annotation prioritized druggable genes such as glutamate receptors 1 and 4, and Mendelian randomization indicated RLS as a causal risk factor for diabetes. Machine learning approaches combining genetic and nongenetic information performed best in risk prediction (area under the curve (AUC) = 0.82-0.91). In summary, we identified targets for drug development and repurposing, prioritized potential causal relationships between RLS and relevant comorbidities and risk factors for follow-up and provided evidence that nonlinear interactions are likely relevant to RLS risk prediction., (© 2024. The Author(s).)

Published
2024
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2. A genome-wide association study in autoimmune neurological syndromes with anti-GAD65 autoantibodies.

Author

Strippel C, Herrera-Rivero M, Wendorff M, Tietz AK, Degenhardt F, Witten A, Schroeter C, Nelke C, Golombeck KS, Madlener M, Rüber T, Ernst L, Racz A, Baumgartner T, Widman G, Doppler K, Thaler F, Siebenbrodt K, Dik A, Kerin C, Räuber S, Gallus M, Kovac S, Grauer OM, Grimm A, Prüss H, Wickel J, Geis C, Lewerenz J, Goebels N, Ringelstein M, Menge T, Tackenberg B, Kellinghaus C, Bien CG, Kraft A, Zettl U, Ismail FS, Ayzenberg I, Urbanek C, Sühs KW, Tauber SC, Mues S, Körtvélyessy P, Markewitz R, Paliantonis A, Elger CE, Surges R, Sommer C, Kümpfel T, Gross CC, Lerche H, Wellmer J, Quesada CM, Then Bergh F, Wandinger KP, Becker AJ, Kunz WS, Meyer Zu Hörste G, Malter MP, Rosenow F, Wiendl H, Kuhlenbäumer G, Leypoldt F, Lieb W, Franke A, Meuth SG, Stoll M, and Melzer N

Subjects
Humans, Proteome genetics, Histocompatibility Antigens Class II, HLA Antigens, Haplotypes, Alleles, Autoantibodies, HLA-DRB1 Chains genetics, Genome-Wide Association Study, Genetic Predisposition to Disease genetics
Abstract

Autoimmune neurological syndromes (AINS) with autoantibodies against the 65 kDa isoform of the glutamic acid decarboxylase (GAD65) present with limbic encephalitis, including temporal lobe seizures or epilepsy, cerebellitis with ataxia, and stiff-person-syndrome or overlap forms. Anti-GAD65 autoantibodies are also detected in autoimmune diabetes mellitus, which has a strong genetic susceptibility conferred by human leukocyte antigen (HLA) and non-HLA genomic regions. We investigated the genetic predisposition in patients with anti-GAD65 AINS. We performed a genome-wide association study (GWAS) and an association analysis of the HLA region in a large German cohort of 1214 individuals. These included 167 patients with anti-GAD65 AINS, recruited by the German Network for Research on Autoimmune Encephalitis (GENERATE), and 1047 individuals without neurological or endocrine disease as population-based controls. Predictions of protein expression changes based on GWAS findings were further explored and validated in the CSF proteome of a virtually independent cohort of 10 patients with GAD65-AINS and 10 controls. Our GWAS identified 16 genome-wide significant (P < 5 × 10-8) loci for the susceptibility to anti-GAD65 AINS. The top variant, rs2535288 [P = 4.42 × 10-16, odds ratio (OR) = 0.26, 95% confidence interval (CI) = 0.187-0.358], localized to an intergenic segment in the middle of the HLA class I region. The great majority of variants in these loci (>90%) mapped to non-coding regions of the genome. Over 40% of the variants have known regulatory functions on the expression of 48 genes in disease relevant cells and tissues, mainly CD4+ T cells and the cerebral cortex. The annotation of epigenomic marks suggested specificity for neural and immune cells. A network analysis of the implicated protein-coding genes highlighted the role of protein kinase C beta (PRKCB) and identified an enrichment of numerous biological pathways participating in immunity and neural function. Analysis of the classical HLA alleles and haplotypes showed no genome-wide significant associations. The strongest associations were found for the DQA1*03:01-DQB1*03:02-DRB1*04:01HLA haplotype (P = 4.39 × 10-4, OR = 2.5, 95%CI = 1.499-4.157) and DRB1*04:01 allele (P = 8.3 × 10-5, OR = 2.4, 95%CI = 1.548-3.682) identified in our cohort. As predicted, the CSF proteome showed differential levels of five proteins (HLA-A/B, C4A, ATG4D and NEO1) of expression quantitative trait loci genes from our GWAS in the CSF proteome of anti-GAD65 AINS. These findings suggest a strong genetic predisposition with direct functional implications for immunity and neural function in anti-GAD65 AINS, mainly conferred by genomic regions outside the classical HLA alleles., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.)

Published
2023
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3. 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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4. Validity and Prognostic Value of a Polygenic Risk Score for Parkinson's Disease.

Author

Koch S, Laabs BH, Kasten M, Vollstedt EJ, Becktepe J, Brüggemann N, Franke A, Krämer UM, Kuhlenbäumer G, Lieb W, Mollenhauer B, Neis M, Trenkwalder C, Schäffer E, Usnich T, Wittig M, Klein C, König IR, Lohmann K, Krawczak M, and Caliebe A

Subjects
Aged, Female, Genome-Wide Association Study methods, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide genetics, Prognosis, Risk Factors, Genetic Predisposition to Disease genetics, Multifactorial Inheritance genetics, Parkinson Disease genetics, Parkinson Disease pathology
Abstract

Idiopathic Parkinson's disease (PD) is a complex multifactorial disorder caused by the interplay of both genetic and non-genetic risk factors. Polygenic risk scores (PRSs) are one way to aggregate the effects of a large number of genetic variants upon the risk for a disease like PD in a single quantity. However, reassessment of the performance of a given PRS in independent data sets is a precondition for establishing the PRS as a valid tool to this end. We studied a previously proposed PRS for PD in a separate genetic data set, comprising 1914 PD cases and 4464 controls, and were able to replicate its ability to differentiate between cases and controls. We also assessed theoretically the prognostic value of the PD-PRS, i.e., its ability to predict the development of PD in later life for healthy individuals. As it turned out, the PD-PRS alone can be expected to perform poorly in this regard. Therefore, we conclude that the PD-PRS could serve as an important research tool, but that meaningful PRS-based prognosis of PD at an individual level is not feasible.

Published
2021
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5. A catalog of genetic loci associated with kidney function from analyses of a million individuals.

Author

Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, Giri A, Chai JF, Sveinbjornsson G, Tayo BO, Nutile T, Fuchsberger C, Marten J, Cocca M, Ghasemi S, Xu Y, Horn K, Noce D, van der Most PJ, Sedaghat S, Yu Z, Akiyama M, Afaq S, Ahluwalia TS, Almgren P, Amin N, Ärnlöv J, Bakker SJL, Bansal N, Baptista D, Bergmann S, Biggs ML, Biino G, Boehnke M, Boerwinkle E, Boissel M, Bottinger EP, Boutin TS, Brenner H, Brumat M, Burkhardt R, Butterworth AS, Campana E, Campbell A, Campbell H, Canouil M, Carroll RJ, Catamo E, Chambers JC, Chee ML, Chee ML, Chen X, Cheng CY, Cheng Y, Christensen K, Cifkova R, Ciullo M, Concas MP, Cook JP, Coresh J, Corre T, Sala CF, Cusi D, Danesh J, Daw EW, de Borst MH, De Grandi A, de Mutsert R, de Vries APJ, Degenhardt F, Delgado G, Demirkan A, Di Angelantonio E, Dittrich K, Divers J, Dorajoo R, Eckardt KU, Ehret G, Elliott P, Endlich K, Evans MK, Felix JF, Foo VHX, Franco OH, Franke A, Freedman BI, Freitag-Wolf S, Friedlander Y, Froguel P, Gansevoort RT, Gao H, Gasparini P, Gaziano JM, Giedraitis V, Gieger C, Girotto G, Giulianini F, Gögele M, Gordon SD, Gudbjartsson DF, Gudnason V, Haller T, Hamet P, Harris TB, Hartman CA, Hayward C, Hellwege JN, Heng CK, Hicks AA, Hofer E, Huang W, Hutri-Kähönen N, Hwang SJ, Ikram MA, Indridason OS, Ingelsson E, Ising M, Jaddoe VWV, Jakobsdottir J, Jonas JB, Joshi PK, Josyula NS, Jung B, Kähönen M, Kamatani Y, Kammerer CM, Kanai M, Kastarinen M, Kerr SM, Khor CC, Kiess W, Kleber ME, Koenig W, Kooner JS, Körner A, Kovacs P, Kraja AT, Krajcoviechova A, Kramer H, Krämer BK, Kronenberg F, Kubo M, Kühnel B, Kuokkanen M, Kuusisto J, La Bianca M, Laakso M, Lange LA, Langefeld CD, Lee JJ, Lehne B, Lehtimäki T, Lieb W, Lim SC, Lind L, Lindgren CM, Liu J, Liu J, Loeffler M, Loos RJF, Lucae S, Lukas MA, Lyytikäinen LP, Mägi R, Magnusson PKE, Mahajan A, Martin NG, Martins J, März W, Mascalzoni D, Matsuda K, Meisinger C, Meitinger T, Melander O, Metspalu A, Mikaelsdottir EK, Milaneschi Y, Miliku K, Mishra PP, Mohlke KL, Mononen N, Montgomery GW, Mook-Kanamori DO, Mychaleckyj JC, Nadkarni GN, Nalls MA, Nauck M, Nikus K, Ning B, Nolte IM, Noordam R, O'Connell J, O'Donoghue ML, Olafsson I, Oldehinkel AJ, Orho-Melander M, Ouwehand WH, Padmanabhan S, Palmer ND, Palsson R, Penninx BWJH, Perls T, Perola M, Pirastu M, Pirastu N, Pistis G, Podgornaia AI, Polasek O, Ponte B, Porteous DJ, Poulain T, Pramstaller PP, Preuss MH, Prins BP, Province MA, Rabelink TJ, Raffield LM, Raitakari OT, Reilly DF, Rettig R, Rheinberger M, Rice KM, Ridker PM, Rivadeneira F, Rizzi F, Roberts DJ, Robino A, Rossing P, Rudan I, Rueedi R, Ruggiero D, Ryan KA, Saba Y, Sabanayagam C, Salomaa V, Salvi E, Saum KU, Schmidt H, Schmidt R, Schöttker B, Schulz CA, Schupf N, Shaffer CM, Shi Y, Smith AV, Smith BH, Soranzo N, Spracklen CN, Strauch K, Stringham HM, Stumvoll M, Svensson PO, Szymczak S, Tai ES, Tajuddin SM, Tan NYQ, Taylor KD, Teren A, Tham YC, Thiery J, Thio CHL, Thomsen H, Thorleifsson G, Toniolo D, Tönjes A, Tremblay J, Tzoulaki I, Uitterlinden AG, Vaccargiu S, van Dam RM, van der Harst P, van Duijn CM, Velez Edward DR, Verweij N, Vogelezang S, Völker U, Vollenweider P, Waeber G, Waldenberger M, Wallentin L, Wang YX, Wang C, Waterworth DM, Bin Wei W, White H, Whitfield JB, Wild SH, Wilson JF, Wojczynski MK, Wong C, Wong TY, Xu L, Yang Q, Yasuda M, Yerges-Armstrong LM, Zhang W, Zonderman AB, Rotter JI, Bochud M, Psaty BM, Vitart V, Wilson JG, Dehghan A, Parsa A, Chasman DI, Ho K, Morris AP, Devuyst O, Akilesh S, Pendergrass SA, Sim X, Böger CA, Okada Y, Edwards TL, Snieder H, Stefansson K, Hung AM, Heid IM, Scholz M, Teumer A, Köttgen A, and Pattaro C

Subjects
Chromosome Mapping, Genome-Wide Association Study, Glomerular Filtration Rate, Humans, Inheritance Patterns, Kidney Function Tests, Phenotype, Polymorphism, Single Nucleotide, Renal Insufficiency, Chronic urine, Uromodulin urine, White People, Genetic Association Studies methods, Genetic Predisposition to Disease, Quantitative Trait Loci, Quantitative Trait, Heritable, Renal Insufficiency, Chronic genetics, Renal Insufficiency, Chronic physiopathology
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
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6. Novel Common Genetic Susceptibility Loci for Colorectal Cancer.

Author

Schmit SL, Edlund CK, Schumacher FR, Gong J, Harrison TA, Huyghe JR, Qu C, Melas M, Van Den Berg DJ, Wang H, Tring S, Plummer SJ, Albanes D, Alonso MH, Amos CI, Anton K, Aragaki AK, Arndt V, Barry EL, Berndt SI, Bezieau S, Bien S, Bloomer A, Boehm J, Boutron-Ruault MC, Brenner H, Brezina S, Buchanan DD, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castelao JE, Chan AT, Chang-Claude J, Chanock SJ, Cheng I, Cheng YW, Chin LS, Church JM, Church T, Coetzee GA, Cotterchio M, Cruz Correa M, Curtis KR, Duggan D, Easton DF, English D, Feskens EJM, Fischer R, FitzGerald LM, Fortini BK, Fritsche LG, Fuchs CS, Gago-Dominguez M, Gala M, Gallinger SJ, Gauderman WJ, Giles GG, Giovannucci EL, Gogarten SM, Gonzalez-Villalpando C, Gonzalez-Villalpando EM, Grady WM, Greenson JK, Gsur A, Gunter M, Haiman CA, Hampe J, Harlid S, Harju JF, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Huang SC, Huerta JM, Hudson TJ, Hunter DJ, Idos GE, Iwasaki M, Jackson RD, Jacobs EJ, Jee SH, Jenkins MA, Jia WH, Jiao S, Joshi AD, Kolonel LN, Kono S, Kooperberg C, Krogh V, Kuehn T, Küry S, LaCroix A, Laurie CA, Lejbkowicz F, Lemire M, Lenz HJ, Levine D, Li CI, Li L, Lieb W, Lin Y, Lindor NM, Liu YR, Loupakis F, Lu Y, Luh F, Ma J, Mancao C, Manion FJ, Markowitz SD, Martin V, Matsuda K, Matsuo K, McDonnell KJ, McNeil CE, Milne R, Molina AJ, Mukherjee B, Murphy N, Newcomb PA, Offit K, Omichessan H, Palli D, Cotoré JPP, Pérez-Mayoral J, Pharoah PD, Potter JD, Qu C, Raskin L, Rennert G, Rennert HS, Riggs BM, Schafmayer C, Schoen RE, Sellers TA, Seminara D, Severi G, Shi W, Shibata D, Shu XO, Siegel EM, Slattery ML, Southey M, Stadler ZK, Stern MC, Stintzing S, Taverna D, Thibodeau SN, Thomas DC, Trichopoulou A, Tsugane S, Ulrich CM, van Duijnhoven FJB, van Guelpan B, Vijai J, Virtamo J, Weinstein SJ, White E, Win AK, Wolk A, Woods M, Wu AH, Wu K, Xiang YB, Yen Y, Zanke BW, Zeng YX, Zhang B, Zubair N, Kweon SS, Figueiredo JC, Zheng W, Marchand LL, Lindblom A, Moreno V, Peters U, Casey G, Hsu L, Conti DV, and Gruber SB

Subjects
Case-Control Studies, Ethnicity statistics & numerical data, Follow-Up Studies, Genotype, Humans, Prognosis, United States epidemiology, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Ethnicity genetics, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Polymorphism, Single Nucleotide
Abstract

Background: Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk., Methods: We conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided., Results: The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0., Conclusions: This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening., (© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Published
2019
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7. Discovery of common and rare genetic risk variants for colorectal cancer.

Author

Huyghe JR, Bien SA, Harrison TA, Kang HM, Chen S, Schmit SL, Conti DV, Qu C, Jeon J, Edlund CK, Greenside P, Wainberg M, Schumacher FR, Smith JD, Levine DM, Nelson SC, Sinnott-Armstrong NA, Albanes D, Alonso MH, Anderson K, Arnau-Collell C, Arndt V, Bamia C, Banbury BL, Baron JA, Berndt SI, Bézieau S, Bishop DT, Boehm J, Boeing H, Brenner H, Brezina S, Buch S, Buchanan DD, Burnett-Hartman A, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castellví-Bel S, Chan AT, Chang-Claude J, Chanock SJ, Chirlaque MD, Cho SH, Connolly CM, Cross AJ, Cuk K, Curtis KR, de la Chapelle A, Doheny KF, Duggan D, Easton DF, Elias SG, Elliott F, English DR, Feskens EJM, Figueiredo JC, Fischer R, FitzGerald LM, Forman D, Gala M, Gallinger S, Gauderman WJ, Giles GG, Gillanders E, Gong J, Goodman PJ, Grady WM, Grove JS, Gsur A, Gunter MJ, Haile RW, Hampe J, Hampel H, Harlid S, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Hsu WL, Huang WY, Hudson TJ, Hunter DJ, Ibañez-Sanz G, Idos GE, Ingersoll R, Jackson RD, Jacobs EJ, Jenkins MA, Joshi AD, Joshu CE, Keku TO, Key TJ, Kim HR, Kobayashi E, Kolonel LN, Kooperberg C, Kühn T, Küry S, Kweon SS, Larsson SC, Laurie CA, Le Marchand L, Leal SM, Lee SC, Lejbkowicz F, Lemire M, Li CI, Li L, Lieb W, Lin Y, Lindblom A, Lindor NM, Ling H, Louie TL, Männistö S, Markowitz SD, Martín V, Masala G, McNeil CE, Melas M, Milne RL, Moreno L, Murphy N, Myte R, Naccarati A, Newcomb PA, Offit K, Ogino S, Onland-Moret NC, Pardini B, Parfrey PS, Pearlman R, Perduca V, Pharoah PDP, Pinchev M, Platz EA, Prentice RL, Pugh E, Raskin L, Rennert G, Rennert HS, Riboli E, Rodríguez-Barranco M, Romm J, Sakoda LC, Schafmayer C, Schoen RE, Seminara D, Shah M, Shelford T, Shin MH, Shulman K, Sieri S, Slattery ML, Southey MC, Stadler ZK, Stegmaier C, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Thomas SS, Toland AE, Trichopoulou A, Ulrich CM, Van Den Berg DJ, van Duijnhoven FJB, Van Guelpen B, van Kranen H, Vijai J, Visvanathan K, Vodicka P, Vodickova L, Vymetalkova V, Weigl K, Weinstein SJ, White E, Win AK, Wolf CR, Wolk A, Woods MO, Wu AH, Zaidi SH, Zanke BW, Zhang Q, Zheng W, Scacheri PC, Potter JD, Bassik MC, Kundaje A, Casey G, Moreno V, Abecasis GR, Nickerson DA, Gruber SB, Hsu L, and Peters U

Subjects
Aged, Case-Control Studies, Female, Genome-Wide Association Study methods, Genotype, Humans, Male, Middle Aged, RNA, Long Noncoding genetics, Risk Factors, Signal Transduction genetics, Colorectal Neoplasms genetics, Genetic Predisposition to Disease genetics, Polymorphism, Single Nucleotide genetics
Abstract

To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10 -8 , bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.

Published
2019
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8. Genome-wide association meta-analysis of coronary artery disease and periodontitis reveals a novel shared risk locus.

Author

Munz M, Richter GM, Loos BG, Jepsen S, Divaris K, Offenbacher S, Teumer A, Holtfreter B, Kocher T, Bruckmann C, Jockel-Schneider Y, Graetz C, Munoz L, Bhandari A, Tennstedt S, Staufenbiel I, van der Velde N, Uitterlinden AG, de Groot LCPGM, Wellmann J, Berger K, Krone B, Hoffmann P, Laudes M, Lieb W, Franke A, Dommisch H, Erdmann J, and Schaefer AS

Subjects
Case-Control Studies, Genome-Wide Association Study methods, Haplotypes genetics, Humans, Polymorphism, Single Nucleotide genetics, Risk Factors, Aggressive Periodontitis genetics, Coronary Artery Disease genetics, Genetic Predisposition to Disease genetics
Abstract

Evidence for a shared genetic basis of association between coronary artery disease (CAD) and periodontitis (PD) exists. To explore the joint genetic basis, we performed a GWAS meta-analysis. In the discovery stage, we used a German aggressive periodontitis sample (AgP-Ger; 680 cases vs 3,973 controls) and the CARDIoGRAMplusC4D CAD meta-analysis dataset (60,801 cases vs 123,504 controls). Two SNPs at the known CAD risk loci ADAMTS7 (rs11634042) and VAMP8 (rs1561198) passed the pre-assigned selection criteria (P AgP-Ger  < 0.05; P CAD  < 5 × 10 -8 ; concordant effect direction) and were replicated in an independent GWAS meta-analysis dataset of PD (4,415 cases vs 5,935 controls). SNP rs1561198 showed significant association (PD[Replication]: P = 0.008 OR = 1.09, 95% CI = [1.02-1.16]; PD [Discovery + Replication]: P = 0.0002, OR = 1.11, 95% CI = [1.05-1.17]). For the associated haplotype block, allele specific cis-effects on VAMP8 expression were reported. Our data adds to the shared genetic basis of CAD and PD and indicate that the observed association of the two disease conditions cannot be solely explained by shared environmental risk factors. We conclude that the molecular pathway shared by CAD and PD involves VAMP8 function, which has a role in membrane vesicular trafficking, and is manipulated by pathogens to corrupt host immune defense.

Published
2018
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9. The p.Arg435His Variation of IgG3 With High Affinity to FcRn Is Associated With Susceptibility for Pemphigus Vulgaris-Analysis of Four Different Ethnic Cohorts.

Author

Recke A, Konitzer S, Lemcke S, Freitag M, Sommer NM, Abdelhady M, Amoli MM, Benoit S, El-Chennawy F, Eldarouti M, Eming R, Gläser R, Günther C, Hadaschik E, Homey B, Lieb W, Peitsch WK, Pföhler C, Robati RM, Saeedi M, Sárdy M, Sticherling M, Uzun S, Worm M, Zillikens D, Ibrahim S, Vidarsson G, and Schmidt E

Subjects
Alleles, Analysis of Variance, Cohort Studies, Egypt, Enzyme-Linked Immunosorbent Assay methods, Ethnicity genetics, Genetic Variation, Genome, Human, Genotype, Genotyping Techniques, Germany, Humans, Iran, Pemphigus blood, Turkey, Genetic Predisposition to Disease, Histocompatibility Antigens Class I immunology, Immunoglobulin G genetics, Pemphigoid, Bullous genetics, Pemphigus genetics, Receptors, Fc immunology
Abstract

IgG3 is the IgG subclass with the strongest effector functions among all four IgG subclasses and the highest degree of allelic variability among all constant immunoglobulin genes. Due to its genetic position, IgG3 is often the first isotype an antibody switches to before IgG1 or IgG4. Compared with the other IgG subclasses, it has a reduced half-life which is probably connected to a decreased affinity to the neonatal Fc receptor (FcRn). However, a few allelic variants harbor an amino acid replacement of His435 to Arg that reverts the half-life of the resulting IgG3 to the same level as the other IgG subclasses. Because of its functional impact, we hypothesized that the p.Arg435His variation could be associated with susceptibility to autoantibody-mediated diseases like pemphigus vulgaris (PV) and bullous pemphigoid (BP). Using a set of samples from German, Turkish, Egyptian, and Iranian patients and controls, we were able to demonstrate a genetic association of the p.Arg435His variation with PV risk, but not with BP risk. Our results suggest a hitherto unknown role for the function of IgG3 in the pathogenesis of PV.

Published
2018
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10. Integration of Murine and Human Studies for Mapping Periodontitis Susceptibility.

Author

Nashef A, Qabaja R, Salaymeh Y, Botzman M, Munz M, Dommisch H, Krone B, Hoffmann P, Wellmann J, Laudes M, Berger K, Kocher T, Loos B, van der Velde N, Uitterlinden AG, de Groot LCPGM, Franke A, Offenbacher S, Lieb W, Divaris K, Mott R, Gat-Viks I, Wiess E, Schaefer A, Iraqi FA, and Haddad YH

Subjects
Alveolar Bone Loss diagnostic imaging, Alveolar Bone Loss genetics, Animals, Chromosome Mapping, Disease Models, Animal, Female, Genetic Association Studies, Genome-Wide Association Study, Humans, Male, Mice, Middle Aged, Periodontitis diagnostic imaging, Quantitative Trait Loci genetics, X-Ray Microtomography, Genetic Predisposition to Disease genetics, Periodontitis genetics
Abstract

Periodontitis is one of the most common inflammatory human diseases with a strong genetic component. Due to the limited sample size of available periodontitis cohorts and the underlying trait heterogeneity, genome-wide association studies (GWASs) of chronic periodontitis (CP) have largely been unsuccessful in identifying common susceptibility factors. A combination of quantitative trait loci (QTL) mapping in mice with association studies in humans has the potential to discover novel risk loci. To this end, we assessed alveolar bone loss in response to experimental periodontal infection in 25 lines (286 mice) from the Collaborative Cross (CC) mouse population using micro-computed tomography (µCT) analysis. The orthologous human chromosomal regions of the significant QTL were analyzed for association using imputed genotype data (OmniExpress BeadChip arrays) derived from case-control samples of aggressive periodontitis (AgP; 896 cases, 7,104 controls) and chronic periodontitis (CP; 2,746 cases, 1,864 controls) of northwest European and European American descent, respectively. In the mouse genome, QTL mapping revealed 2 significant loci (-log P = 5.3; false discovery rate = 0.06) on chromosomes 1 ( Perio3) and 14 ( Perio4). The mapping resolution ranged from ~1.5 to 3 Mb. Perio3 overlaps with a previously reported QTL associated with residual bone volume in F2 cross and includes the murine gene Ccdc121. Its human orthologue showed previously a nominal significant association with CP in humans. Use of variation data from the genomes of the CC founder strains further refined the QTL and suggested 7 candidate genes ( CAPN8, DUSP23, PCDH17, SNORA17, PCDH9, LECT1, and LECT2). We found no evidence of association of these candidates with the human orthologues. In conclusion, the CC populations enabled mapping of confined QTL that confer susceptibility to alveolar bone loss in mice and larger human phenotype-genotype samples and additional expression data from gingival tissues are likely required to identify true positive signals.

Published
2018
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11. Genetic predisposition in anti-LGI1 and anti-NMDA receptor encephalitis.

Author

Mueller SH, Färber A, Prüss H, Melzer N, Golombeck KS, Kümpfel T, Thaler F, Elisak M, Lewerenz J, Kaufmann M, Sühs KW, Ringelstein M, Kellinghaus C, Bien CG, Kraft A, Zettl UK, Ehrlich S, Handreka R, Rostásy K, Then Bergh F, Faiss JH, Lieb W, Franke A, Kuhlenbäumer G, Wandinger KP, and Leypoldt F

Subjects
Adolescent, Adult, Aged, Doublecortin-Like Kinases, Encephalitis immunology, Encephalitis metabolism, Female, Genome-Wide Association Study, Hashimoto Disease immunology, Hashimoto Disease metabolism, Humans, Intracellular Signaling Peptides and Proteins, Male, Middle Aged, Proteins immunology, Receptors, N-Methyl-D-Aspartate immunology, Young Adult, Autoantibodies metabolism, Encephalitis genetics, Genetic Predisposition to Disease genetics, Hashimoto Disease genetics, Polymorphism, Single Nucleotide genetics, Protein Serine-Threonine Kinases genetics, Proteins genetics
Abstract

We performed a genome-wide association study in 1,194 controls and 150 patients with anti-N-methyl-D-aspartate receptor (anti-NMDAR, n = 96) or anti-leucine-rich glioma-inactivated1 (anti-LGI1, n = 54) autoimmune encephalitis. Anti-LGI1 encephalitis was highly associated with 27 single-nucleotide polymorphisms (SNPs) in the HLA-II region (leading SNP rs2858870 p = 1.22 × 10 -17 , OR = 13.66 [7.50-24.87]). Potential associations, below genome-wide significance, were found with rs72961463 close to the doublecortin-like kinase 2 gene (DCLK2) and rs62110161 in a cluster of zinc-finger genes. HLA allele imputation identified association of anti-LGI1 encephalitis with HLA-II haplotypes encompassing DRB1*07:01, DQA1*02:01 and DQB1*02:02 (p < 2.2 × 10 -16 ) and anti-NMDAR encephalitis with HLA-I allele B*07:02 (p = 0.039). No shared genetic risk factors between encephalitides were identified. Ann Neurol 2018;83:863-869., (© 2018 American Neurological Association.)

Published
2018
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12. Association Between Loss-of-Function Mutations Within the FANCM Gene and Early-Onset Familial Breast Cancer.

Author

Neidhardt G, Hauke J, Ramser J, Groß E, Gehrig A, Müller CR, Kahlert AK, Hackmann K, Honisch E, Niederacher D, Heilmann-Heimbach S, Franke A, Lieb W, Thiele H, Altmüller J, Nürnberg P, Klaschik K, Ernst C, Ditsch N, Jessen F, Ramirez A, Wappenschmidt B, Engel C, Rhiem K, Meindl A, Schmutzler RK, and Hahnen E

Subjects
Adult, Age of Onset, Aged, Case-Control Studies, DNA Mutational Analysis, Female, Germ-Line Mutation, Heterozygote, Humans, Middle Aged, Mutation Rate, Triple Negative Breast Neoplasms genetics, Breast Neoplasms genetics, DNA Helicases genetics, Genetic Predisposition to Disease, Ovarian Neoplasms genetics
Abstract

Importance: Germline mutations in established moderately or highly penetrant risk genes for breast cancer (BC) and/or ovarian cancer (OC), including BRCA1 and BRCA2, explain fewer than half of all familial BC and/or OC cases. Based on the genotyping of 2 loss-of-function (LoF) variants c.5101C>T (p.GIn1701Ter [rs147021911]) and c.5791C>T (p.Arg1931Ter [rs144567652]), the FANCM gene has been suggested as a novel BC predisposition gene, while the analysis of the entire coding region of the FANCM gene in familial index cases and geographically matched controls is pending., Objectives: To assess the mutational spectrum within the FANCM gene, and to determine a potential association of LoF germline mutations within the FANCM gene with BC and/or OC risk., Design, Setting, and Participants: For the purpose of identification and characterization of novel BC and/or OC predisposition genes, a total of 2047 well-characterized familial BC index cases, 628 OC cases, and 2187 geographically matched controls were screened for LoF mutations within the FANCM gene by next-generation sequencing. All patients previously tested negative for pathogenic BRCA1 and BRCA2 mutations. All data collection occurred between June 1, 2013, and April 30, 2016. Data analysis was performed from May 1, 2016, to July 1, 2016., Main Outcomes and Measures: FANCM LoF mutation frequencies in patients with BC and/or OC were compared with the FANCM LoF mutation frequencies in geographically matched controls by univariate logistic regression. Positive associations were stratified by age at onset and cancer family history., Results: In this case-control study, 2047 well-characterized familial female BC index cases, 628 OC cases, and 2187 geographically matched controls were screened for truncating FANCM alterations. Heterozygous LoF mutations within the FANCM gene were significantly associated with familial BC risk, with an overall odds ratio (OR) of 2.05 (95% CI, 0.94-4.54; P = .049) and a mutation frequency of 1.03% in index cases. In familial patients whose BC onset was before age 51 years, an elevated OR of 2.44 (95% CI, 1.08-5.59; P = .02) was observed. A more pronounced association was identified for patients with a triple-negative BC tumor phenotype (OR, 3.75; 95% CI, 1.00-12.85; P = .02). No significant association was detected for unselected OC cases (OR, 1.74; 95% CI, 0.57-5.08; P = .27)., Conclusions and Relevance: Based on the significant associations of heterozygous LoF mutations with early-onset or triple-negative BC, FANCM should be included in diagnostic gene panel testing for individual risk assessment. Larger studies are required to determine age-dependent disease risks for BC and to assess a potential role of FANCM mutations in OC pathogenesis.

Published
2017
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13. Genome-wide association analysis for chronic venous disease identifies EFEMP1 and KCNH8 as susceptibility loci.

Author

Ellinghaus E, Ellinghaus D, Krusche P, Greiner A, Schreiber C, Nikolaus S, Gieger C, Strauch K, Lieb W, Rosenstiel P, Frings N, Fiebig A, Schreiber S, and Franke A

Subjects
Adult, Aged, Aged, 80 and over, Animals, Female, Genome-Wide Association Study methods, Genotype, Humans, Linkage Disequilibrium genetics, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Young Adult, Ether-A-Go-Go Potassium Channels genetics, Extracellular Matrix Proteins genetics, Genetic Predisposition to Disease genetics, Wasting Disease, Chronic genetics
Abstract

Chronic venous disease (CVD) is a multifactorial condition representing one of the most common disorders among populations of Western countries. The heritability of about 17% suggests genetic risk factors in CVD etiology. However, so far the genetic causes are unknown. We undertook the hitherto first genome-wide association study (GWAS) for CVD, analyzing more than 1.93 M SNPs in 4,942 German individuals, followed by replication in two independent German data sets. The combined analysis of discovery and replication stages (2,269 cases and 7,765 controls) yielded robust associations within the two genes EFEMP1 and KCNH8 (rs17278665, rs727139 with P < 5 × 10 -8 ), and suggestive association within gene SKAP2 (rs2030136 with P < 5 × 10 -7 ). Association signals of rs17278665 and rs727139 reside in regions of low linkage disequilibrium containing no other genes. Data from the ENCODE and Roadmap Epigenomics projects show that tissue specific marks overlap with the variants. SNPs rs17278665 and rs2030136 are known eQTLs. Our study demonstrates that GWAS are a valuable tool to study the genetic component of CVD. With our approach, we identified two novel genome-wide significant susceptibility loci for this common disease. Particularly, the extracellular matrix glycoprotein EFEMP1 is promising for future functional studies due to its antagonistic role in vessel development and angiogenesis.

Published
2017
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14. Dense genotyping of immune-related loci identifies HLA variants associated with increased risk of collagenous colitis.

Author

Westerlind H, Mellander MR, Bresso F, Munch A, Bonfiglio F, Assadi G, Rafter J, Hübenthal M, Lieb W, Källberg H, Brynedal B, Padyukov L, Halfvarson J, Törkvist L, Bjork J, Andreasson A, Agreus L, Almer S, Miehlke S, Madisch A, Ohlsson B, Löfberg R, Hultcrantz R, Franke A, and D'Amato M

Subjects
Aged, Alleles, Case-Control Studies, Chromosomes, Human, Pair 6, Female, Genotyping Techniques, Haplotypes, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Colitis, Collagenous genetics, Colitis, Collagenous immunology, Genetic Loci, Genetic Predisposition to Disease, HLA Antigens genetics, HLA Antigens immunology
Abstract

Objective: Collagenous colitis (CC) is a major cause of chronic non-bloody diarrhoea, particularly in the elderly female population. The aetiology of CC is unknown, and still poor is the understanding of its pathogenesis. This possibly involves dysregulated inflammation and immune-mediated reactions in genetically predisposed individuals, but the contribution of genetic factors to CC is underinvestigated. We systematically tested immune-related genes known to impact the risk of several autoimmune diseases for their potential CC-predisposing role., Design: Three independent cohorts of histologically confirmed CC cases (N=314) and controls (N=4299) from Sweden and Germany were included in a 2-step association analysis. Immunochip and targeted single nucleotide polymorphism (SNP) genotype data were produced, respectively, for discovery and replication purposes. Classical human leucocyte antigen (HLA) variants at 2-digit and 4-digit resolution were obtained via imputation from single marker genotypes. SNPs and HLA variants passing quality control filters were tested for association with CC with logistic regression adjusting for age, sex and country of origin., Results: Forty-two markers gave rise to genome-wide significant association signals, all contained within the HLA region on chromosome 6 (best p=4.2×10 -10 for SNP rs4143332). Among the HLA variants, most pronounced risk effects were observed for 8.1 haplotype alleles including DQ2.5, which was targeted and confirmed in the replication data set (p=2.3×10 -11 ; OR=2.06; 95% CI (1.67 to 2.55) in the combined analysis)., Conclusions: HLA genotype associates with CC, thus implicating HLA-related immune mechanisms in its pathogenesis., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.)

Published
2017
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15. Rheumatoid Arthritis and Coronary Artery Disease: Genetic Analyses Do Not Support a Causal Relation.

Author

Jansen H, Willenborg C, Lieb W, Zeng L, Ferrario PG, Loley C, König IR, Erdmann J, Samani NJ, and Schunkert H

Subjects
Alleles, Cholesterol, LDL genetics, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Arthritis, Rheumatoid genetics, Coronary Artery Disease genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
Abstract

Objective: Inflammatory diseases, specifically rheumatoid arthritis (RA), are assumed to increase the risk of coronary artery disease (CAD). More recently, multiple single-nucleotide polymorphisms (SNP) associated with RA risk were identified. If causal mechanisms affecting risks of RA and CAD are overlapping, risk alleles for RA might also increase the risk of CAD., Methods: Sixty-one SNP associating with RA in genome-wide significant analyses were tested for association with CAD in CARDIoGRAM (Coronary ARtery DIsease Genome wide Replication and Meta-analysis), a metaanalysis including genome-wide association data (22,233 CAD cases, 64,762 controls). In parallel, a set of SNP being associated with low-density lipoprotein cholesterol (LDL-C) was tested as a positive control., Results: Twenty-nine RA-associated SNP displayed a directionality-consistent association with CAD (OR range 1.002-1.073), whereas 32 RA-associated SNP were not associated with CAD (OR range 0.96-0.99 per RA risk-increasing allele). The proportion (48%) of directionality-consistent associated SNP equaled the proportion expected by chance (50%, p = 0.09). Of only 5 RA-associated SNP showing p values for CAD < 0.05, 4 loci (C5orf30, IL-6R, PTPN22, and RAD51B) showed directionality-consistent effects on CAD, and 1 (rs10774624, locus SH2B3) reached study-wide significance (p = 7.29E-06). By contrast, and as a proof of concept, 46 (74%) out of 62 LDL-C-associated SNP displayed a directionality-consistent association with CAD, a proportion that was significantly different from 50% (p = 5.9E-05)., Conclusion: We found no evidence that RA-associated SNP as a group are associated with CAD. Even though we were not able to study potential effects of all genetic variants individually, shared nongenetic factors may more plausibly explain the observed coincidence of the 2 conditions.

Published
2017
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16. Genetic Factors of the Disease Course After Sepsis: Rare Deleterious Variants Are Predictive.

Author

Taudien S, Lausser L, Giamarellos-Bourboulis EJ, Sponholz C, Schöneweck F, Felder M, Schirra LR, Schmid F, Gogos C, Groth S, Petersen BS, Franke A, Lieb W, Huse K, Zipfel PF, Kurzai O, Moepps B, Gierschik P, Bauer M, Scherag A, Kestler HA, and Platzer M

Subjects
Adult, Aged, Aged, 80 and over, Case-Control Studies, Cell Line, Cohort Studies, Disease Progression, Exome, Female, Genomics, Genotype, High-Throughput Nucleotide Sequencing, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prognosis, Reproducibility of Results, Sepsis microbiology, Sepsis mortality, Genetic Predisposition to Disease, Genetic Variation, Sepsis diagnosis, Sepsis genetics
Abstract

Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. For its clinical course, host genetic factors are important and rare genomic variants are suspected to contribute. We sequenced the exomes of 59 Greek and 15 German patients with bacterial sepsis divided into two groups with extremely different disease courses. Variant analysis was focusing on rare deleterious single nucleotide variants (SNVs). We identified significant differences in the number of rare deleterious SNVs per patient between the ethnic groups. Classification experiments based on the data of the Greek patients allowed discrimination between the disease courses with estimated sensitivity and specificity>75%. By application of the trained model to the German patients we observed comparable discriminatory properties despite lower population-specific rare SNV load. Furthermore, rare SNVs in genes of cell signaling and innate immunity related pathways were identified as classifiers discriminating between the sepsis courses. Sepsis patients with favorable disease course after sepsis, even in the case of unfavorable preconditions, seem to be affected more often by rare deleterious SNVs in cell signaling and innate immunity related pathways, suggesting a protective role of impairments in these processes against a poor disease course., (Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2016
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17. Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis.

Author

van Rheenen W, Shatunov A, Dekker AM, McLaughlin RL, Diekstra FP, Pulit SL, van der Spek RA, Võsa U, de Jong S, Robinson MR, Yang J, Fogh I, van Doormaal PT, Tazelaar GH, Koppers M, Blokhuis AM, Sproviero W, Jones AR, Kenna KP, van Eijk KR, Harschnitz O, Schellevis RD, Brands WJ, Medic J, Menelaou A, Vajda A, Ticozzi N, Lin K, Rogelj B, Vrabec K, Ravnik-Glavač M, Koritnik B, Zidar J, Leonardis L, Grošelj LD, Millecamps S, Salachas F, Meininger V, de Carvalho M, Pinto S, Mora JS, Rojas-García R, Polak M, Chandran S, Colville S, Swingler R, Morrison KE, Shaw PJ, Hardy J, Orrell RW, Pittman A, Sidle K, Fratta P, Malaspina A, Topp S, Petri S, Abdulla S, Drepper C, Sendtner M, Meyer T, Ophoff RA, Staats KA, Wiedau-Pazos M, Lomen-Hoerth C, Van Deerlin VM, Trojanowski JQ, Elman L, McCluskey L, Basak AN, Tunca C, Hamzeiy H, Parman Y, Meitinger T, Lichtner P, Radivojkov-Blagojevic M, Andres CR, Maurel C, Bensimon G, Landwehrmeyer B, Brice A, Payan CA, Saker-Delye S, Dürr A, Wood NW, Tittmann L, Lieb W, Franke A, Rietschel M, Cichon S, Nöthen MM, Amouyel P, Tzourio C, Dartigues JF, Uitterlinden AG, Rivadeneira F, Estrada K, Hofman A, Curtis C, Blauw HM, van der Kooi AJ, de Visser M, Goris A, Weber M, Shaw CE, Smith BN, Pansarasa O, Cereda C, Del Bo R, Comi GP, D'Alfonso S, Bertolin C, Sorarù G, Mazzini L, Pensato V, Gellera C, Tiloca C, Ratti A, Calvo A, Moglia C, Brunetti M, Arcuti S, Capozzo R, Zecca C, Lunetta C, Penco S, Riva N, Padovani A, Filosto M, Muller B, Stuit RJ, Blair I, Zhang K, McCann EP, Fifita JA, Nicholson GA, Rowe DB, Pamphlett R, Kiernan MC, Grosskreutz J, Witte OW, Ringer T, Prell T, Stubendorff B, Kurth I, Hübner CA, Leigh PN, Casale F, Chio A, Beghi E, Pupillo E, Tortelli R, Logroscino G, Powell J, Ludolph AC, Weishaupt JH, Robberecht W, Van Damme P, Franke L, Pers TH, Brown RH, Glass JD, Landers JE, Hardiman O, Andersen PM, Corcia P, Vourc'h P, Silani V, Wray NR, Visscher PM, de Bakker PI, van Es MA, Pasterkamp RJ, Lewis CM, Breen G, Al-Chalabi A, van den Berg LH, and Veldink JH

Subjects
Amyotrophic Lateral Sclerosis epidemiology, Case-Control Studies, Cohort Studies, Cytoskeletal Proteins, Genome-Wide Association Study, Humans, Netherlands epidemiology, Amyotrophic Lateral Sclerosis genetics, Genetic Predisposition to Disease, Munc18 Proteins genetics, Mutation genetics, Myelin Proteins genetics, Proteins genetics
Abstract

To elucidate the genetic architecture of amyotrophic lateral sclerosis (ALS) and find associated loci, we assembled a custom imputation reference panel from whole-genome-sequenced patients with ALS and matched controls (n = 1,861). Through imputation and mixed-model association analysis in 12,577 cases and 23,475 controls, combined with 2,579 cases and 2,767 controls in an independent replication cohort, we fine-mapped a new risk locus on chromosome 21 and identified C21orf2 as a gene associated with ALS risk. In addition, we identified MOBP and SCFD1 as new associated risk loci. We established evidence of ALS being a complex genetic trait with a polygenic architecture. Furthermore, we estimated the SNP-based heritability at 8.5%, with a distinct and important role for low-frequency variants (frequency 1-10%). This study motivates the interrogation of larger samples with full genome coverage to identify rare causal variants that underpin ALS risk.

Published
2016
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18. Four Susceptibility Loci for Gallstone Disease Identified in a Meta-analysis of Genome-Wide Association Studies.

Author

Joshi AD, Andersson C, Buch S, Stender S, Noordam R, Weng LC, Weeke PE, Auer PL, Boehm B, Chen C, Choi H, Curhan G, Denny JC, De Vivo I, Eicher JD, Ellinghaus D, Folsom AR, Fuchs C, Gala M, Haessler J, Hofman A, Hu F, Hunter DJ, Janssen HL, Kang JH, Kooperberg C, Kraft P, Kratzer W, Lieb W, Lutsey PL, Darwish Murad S, Nordestgaard BG, Pasquale LR, Reiner AP, Ridker PM, Rimm E, Rose LM, Shaffer CM, Schafmayer C, Tamimi RM, Uitterlinden AG, Völker U, Völzke H, Wakabayashi Y, Wiggs JL, Zhu J, Roden DM, Stricker BH, Tang W, Teumer A, Hampe J, Tybjærg-Hansen A, Chasman DI, Chan AT, and Johnson AD

Subjects
Adult, Black or African American genetics, Aged, Case-Control Studies, Cholesterol metabolism, Female, Genome-Wide Association Study, Hispanic or Latino genetics, Humans, Lipid Metabolism genetics, Logistic Models, Male, Middle Aged, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, White People genetics, ATP Binding Cassette Transporter, Subfamily G, Member 8 genetics, Gallstones genetics, Genetic Loci genetics, Genetic Predisposition to Disease
Abstract

Background & Aims: A genome-wide association study (GWAS) of 280 cases identified the hepatic cholesterol transporter ABCG8 as a locus associated with risk for gallstone disease, but findings have not been reported from any other GWAS of this phenotype. We performed a large-scale, meta-analysis of GWASs of individuals of European ancestry with available prior genotype data, to identify additional genetic risk factors for gallstone disease., Methods: We obtained per-allele odds ratio (OR) and standard error estimates using age- and sex-adjusted logistic regression models within each of the 10 discovery studies (8720 cases and 55,152 controls). We performed an inverse variance weighted, fixed-effects meta-analysis of study-specific estimates to identify single-nucleotide polymorphisms that were associated independently with gallstone disease. Associations were replicated in 6489 cases and 62,797 controls., Results: We observed independent associations for 2 single-nucleotide polymorphisms at the ABCG8 locus: rs11887534 (OR, 1.69; 95% confidence interval [CI], 1.54-1.86; P = 2.44 × 10(-60)) and rs4245791 (OR, 1.27; P = 1.90 × 10(-34)). We also identified and/or replicated associations for rs9843304 in TM4SF4 (OR, 1.12; 95% CI, 1.08-1.16; P = 6.09 × 10(-11)), rs2547231 in SULT2A1 (encodes a sulfoconjugation enzyme that acts on hydroxysteroids and cholesterol-derived sterol bile acids) (OR, 1.17; 95% CI, 1.12-1.21; P = 2.24 × 10(-10)), rs1260326 in glucokinase regulatory protein (OR, 1.12; 95% CI, 1.07-1.17; P = 2.55 × 10(-10)), and rs6471717 near CYP7A1 (encodes an enzyme that catalyzes conversion of cholesterol to primary bile acids) (OR, 1.11; 95% CI, 1.08-1.15; P = 8.84 × 10(-9)). Among individuals of African American and Hispanic American ancestry, rs11887534 and rs4245791 were associated positively with gallstone disease risk, whereas the association for the rs1260326 variant was inverse., Conclusions: In this large-scale GWAS of gallstone disease, we identified 4 loci in genes that have putative functions in cholesterol metabolism and transport, and sulfonylation of bile acids or hydroxysteroids., (Copyright © 2016 AGA Institute. Published by Elsevier Inc. All rights reserved.)

Published
2016
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19. Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation.

Author

Andlauer TF, Buck D, Antony G, Bayas A, Bechmann L, Berthele A, Chan A, Gasperi C, Gold R, Graetz C, Haas J, Hecker M, Infante-Duarte C, Knop M, Kümpfel T, Limmroth V, Linker RA, Loleit V, Luessi F, Meuth SG, Mühlau M, Nischwitz S, Paul F, Pütz M, Ruck T, Salmen A, Stangel M, Stellmann JP, Stürner KH, Tackenberg B, Then Bergh F, Tumani H, Warnke C, Weber F, Wiendl H, Wildemann B, Zettl UK, Ziemann U, Zipp F, Arloth J, Weber P, Radivojkov-Blagojevic M, Scheinhardt MO, Dankowski T, Bettecken T, Lichtner P, Czamara D, Carrillo-Roa T, Binder EB, Berger K, Bertram L, Franke A, Gieger C, Herms S, Homuth G, Ising M, Jöckel KH, Kacprowski T, Kloiber S, Laudes M, Lieb W, Lill CM, Lucae S, Meitinger T, Moebus S, Müller-Nurasyid M, Nöthen MM, Petersmann A, Rawal R, Schminke U, Strauch K, Völzke H, Waldenberger M, Wellmann J, Porcu E, Mulas A, Pitzalis M, Sidore C, Zara I, Cucca F, Zoledziewska M, Ziegler A, Hemmer B, and Müller-Myhsok B

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Alleles, Case-Control Studies, Cohort Studies, DNA-Binding Proteins genetics, Female, Genetic Loci, Genome-Wide Association Study, Glycine Hydroxymethyltransferase genetics, Humans, Male, Middle Aged, Multiple Sclerosis pathology, Quantitative Trait Loci, Transcription Factors genetics, Transcriptional Regulator ERG genetics, Young Adult, Epigenesis, Genetic, Genetic Predisposition to Disease, Multiple Sclerosis genetics
Abstract

We conducted a genome-wide association study (GWAS) on multiple sclerosis (MS) susceptibility in German cohorts with 4888 cases and 10,395 controls. In addition to associations within the major histocompatibility complex (MHC) region, 15 non-MHC loci reached genome-wide significance. Four of these loci are novel MS susceptibility loci. They map to the genes L3MBTL3, MAZ, ERG, and SHMT1. The lead variant at SHMT1 was replicated in an independent Sardinian cohort. Products of the genes L3MBTL3, MAZ, and ERG play important roles in immune cell regulation. SHMT1 encodes a serine hydroxymethyltransferase catalyzing the transfer of a carbon unit to the folate cycle. This reaction is required for regulation of methylation homeostasis, which is important for establishment and maintenance of epigenetic signatures. Our GWAS approach in a defined population with limited genetic substructure detected associations not found in larger, more heterogeneous cohorts, thus providing new clues regarding MS pathogenesis.

Published
2016
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20. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

Author

Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y, Taliun D, Olden M, Foster M, Yang Q, Chen MH, Pers TH, Johnson AD, Ko YA, Fuchsberger C, Tayo B, Nalls M, Feitosa MF, Isaacs A, Dehghan A, d'Adamo P, Adeyemo A, Dieffenbach AK, Zonderman AB, Nolte IM, van der Most PJ, Wright AF, Shuldiner AR, Morrison AC, Hofman A, Smith AV, Dreisbach AW, Franke A, Uitterlinden AG, Metspalu A, Tonjes A, Lupo A, Robino A, Johansson Å, Demirkan A, Kollerits B, Freedman BI, Ponte B, Oostra BA, Paulweber B, Krämer BK, Mitchell BD, Buckley BM, Peralta CA, Hayward C, Helmer C, Rotimi CN, Shaffer CM, Müller C, Sala C, van Duijn CM, Saint-Pierre A, Ackermann D, Shriner D, Ruggiero D, Toniolo D, Lu Y, Cusi D, Czamara D, Ellinghaus D, Siscovick DS, Ruderfer D, Gieger C, Grallert H, Rochtchina E, Atkinson EJ, Holliday EG, Boerwinkle E, Salvi E, Bottinger EP, Murgia F, Rivadeneira F, Ernst F, Kronenberg F, Hu FB, Navis GJ, Curhan GC, Ehret GB, Homuth G, Coassin S, Thun GA, Pistis G, Gambaro G, Malerba G, Montgomery GW, Eiriksdottir G, Jacobs G, Li G, Wichmann HE, Campbell H, Schmidt H, Wallaschofski H, Völzke H, Brenner H, Kroemer HK, Kramer H, Lin H, Leach IM, Ford I, Guessous I, Rudan I, Prokopenko I, Borecki I, Heid IM, Kolcic I, Persico I, Jukema JW, Wilson JF, Felix JF, Divers J, Lambert JC, Stafford JM, Gaspoz JM, Smith JA, Faul JD, Wang JJ, Ding J, Hirschhorn JN, Attia J, Whitfield JB, Chalmers J, Viikari J, Coresh J, Denny JC, Karjalainen J, Fernandes JK, Endlich K, Butterbach K, Keene KL, Lohman K, Portas L, Launer LJ, Lyytikäinen LP, Yengo L, Franke L, Ferrucci L, Rose LM, Kedenko L, Rao M, Struchalin M, Kleber ME, Cavalieri M, Haun M, Cornelis MC, Ciullo M, Pirastu M, de Andrade M, McEvoy MA, Woodward M, Adam M, Cocca M, Nauck M, Imboden M, Waldenberger M, Pruijm M, Metzger M, Stumvoll M, Evans MK, Sale MM, Kähönen M, Boban M, Bochud M, Rheinberger M, Verweij N, Bouatia-Naji N, Martin NG, Hastie N, Probst-Hensch N, Soranzo N, Devuyst O, Raitakari O, Gottesman O, Franco OH, Polasek O, Gasparini P, Munroe PB, Ridker PM, Mitchell P, Muntner P, Meisinger C, Smit JH, Kovacs P, Wild PS, Froguel P, Rettig R, Mägi R, Biffar R, Schmidt R, Middelberg RP, Carroll RJ, Penninx BW, Scott RJ, Katz R, Sedaghat S, Wild SH, Kardia SL, Ulivi S, Hwang SJ, Enroth S, Kloiber S, Trompet S, Stengel B, Hancock SJ, Turner ST, Rosas SE, Stracke S, Harris TB, Zeller T, Zemunik T, Lehtimäki T, Illig T, Aspelund T, Nikopensius T, Esko T, Tanaka T, Gyllensten U, Völker U, Emilsson V, Vitart V, Aalto V, Gudnason V, Chouraki V, Chen WM, Igl W, März W, Koenig W, Lieb W, Loos RJ, Liu Y, Snieder H, Pramstaller PP, Parsa A, O'Connell JR, Susztak K, Hamet P, Tremblay J, de Boer IH, Böger CA, Goessling W, Chasman DI, Köttgen A, Kao WH, and Fox CS

Subjects
Gene Expression Regulation, Genome-Wide Association Study, Genotype, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic genetics
Abstract

Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

Published
2016
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21. Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis.

Author

Paternoster L, Standl M, Waage J, Baurecht H, Hotze M, Strachan DP, Curtin JA, Bønnelykke K, Tian C, Takahashi A, Esparza-Gordillo J, Alves AC, Thyssen JP, den Dekker HT, Ferreira MA, Altmaier E, Sleiman PM, Xiao FL, Gonzalez JR, Marenholz I, Kalb B, Yanes MP, Xu CJ, Carstensen L, Groen-Blokhuis MM, Venturini C, Pennell CE, Barton SJ, Levin AM, Curjuric I, Bustamante M, Kreiner-Møller E, Lockett GA, Bacelis J, Bunyavanich S, Myers RA, Matanovic A, Kumar A, Tung JY, Hirota T, Kubo M, McArdle WL, Henderson AJ, Kemp JP, Zheng J, Smith GD, Rüschendorf F, Bauerfeind A, Lee-Kirsch MA, Arnold A, Homuth G, Schmidt CO, Mangold E, Cichon S, Keil T, Rodríguez E, Peters A, Franke A, Lieb W, Novak N, Fölster-Holst R, Horikoshi M, Pekkanen J, Sebert S, Husemoen LL, Grarup N, de Jongste JC, Rivadeneira F, Hofman A, Jaddoe VW, Pasmans SG, Elbert NJ, Uitterlinden AG, Marks GB, Thompson PJ, Matheson MC, Robertson CF, Ried JS, Li J, Zuo XB, Zheng XD, Yin XY, Sun LD, McAleer MA, O'Regan GM, Fahy CM, Campbell LE, Macek M, Kurek M, Hu D, Eng C, Postma DS, Feenstra B, Geller F, Hottenga JJ, Middeldorp CM, Hysi P, Bataille V, Spector T, Tiesler CM, Thiering E, Pahukasahasram B, Yang JJ, Imboden M, Huntsman S, Vilor-Tejedor N, Relton CL, Myhre R, Nystad W, Custovic A, Weiss ST, Meyers DA, Söderhäll C, Melén E, Ober C, Raby BA, Simpson A, Jacobsson B, Holloway JW, Bisgaard H, Sunyer J, Hensch NMP, Williams LK, Godfrey KM, Wang CA, Boomsma DI, Melbye M, Koppelman GH, Jarvis D, McLean WI, Irvine AD, Zhang XJ, Hakonarson H, Gieger C, Burchard EG, Martin NG, Duijts L, Linneberg A, Jarvelin MR, Noethen MM, Lau S, Hübner N, Lee YA, Tamari M, Hinds DA, Glass D, Brown SJ, Heinrich J, Evans DM, and Weidinger S

Subjects
Case-Control Studies, Dermatitis, Atopic pathology, Humans, Immunity, Innate genetics, Risk Factors, T-Lymphocytes cytology, T-Lymphocytes immunology, T-Lymphocytes metabolism, Dermatitis, Atopic ethnology, Dermatitis, Atopic genetics, Ethnicity genetics, Genetic Loci, Genetic Markers genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
Abstract

Genetic association studies have identified 21 loci associated with atopic dermatitis risk predominantly in populations of European ancestry. To identify further susceptibility loci for this common, complex skin disease, we performed a meta-analysis of >15 million genetic variants in 21,399 cases and 95,464 controls from populations of European, African, Japanese and Latino ancestry, followed by replication in 32,059 cases and 228,628 controls from 18 studies. We identified ten new risk loci, bringing the total number of known atopic dermatitis risk loci to 31 (with new secondary signals at four of these loci). Notably, the new loci include candidate genes with roles in the regulation of innate host defenses and T cell function, underscoring the important contribution of (auto)immune mechanisms to atopic dermatitis pathogenesis.

Published
2015
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22. Successful Replication of GWAS Hits for Multiple Sclerosis in 10,000 Germans Using the Exome Array.

Author

Dankowski T, Buck D, Andlauer TF, Antony G, Bayas A, Bechmann L, Berthele A, Bettecken T, Chan A, Franke A, Gold R, Graetz C, Haas J, Hecker M, Herms S, Infante-Duarte C, Jöckel KH, Kieseier BC, Knier B, Knop M, Kümpfel T, Lichtner P, Lieb W, Lill CM, Limmroth V, Linker RA, Loleit V, Meuth SG, Moebus S, Müller-Myhsok B, Nischwitz S, Nöthen MM, Paul F, Pütz M, Ruck T, Salmen A, Stangel M, Stellmann JP, Strauch K, Stürner KH, Tackenberg B, Then Bergh F, Tumani H, Waldenberger M, Weber F, Wiendl H, Wildemann B, Zettl UK, Ziemann U, Zipp F, Hemmer B, and Ziegler A

Subjects
Adolescent, Adult, Aged, Aged, 80 and over, Child, Exome genetics, Female, Genome-Wide Association Study, Genotype, Germany, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis methods, Young Adult, Genetic Predisposition to Disease, HLA Antigens genetics, Multiple Sclerosis genetics, Polymorphism, Single Nucleotide genetics
Abstract

Genome-wide association studies (GWAS) successfully identified various chromosomal regions to be associated with multiple sclerosis (MS). The primary aim of this study was to replicate reported associations from GWAS using an exome array in a large German study. German MS cases (n = 4,476) and German controls (n = 5,714) were genotyped using the Illumina HumanExome v1-Chip. Genotype calling was performed with the Illumina Genome Studio(TM) Genotyping Module, followed by zCall. Single-nucleotide polymorphisms (SNPs) in seven regions outside the human leukocyte antigen (HLA) region showed genome-wide significant associations with MS (P values < 5 × 10(-8) ). These associations have been reported previously. In addition, SNPs in three previously reported regions outside the HLA region yielded P values < 10(-5) . The effect of nine SNPs in the HLA region remained (P < 10(-5) ) after adjustment for other significant SNPs in the HLA region. All of these findings have been reported before or are driven by known risk loci. In summary, findings from previous GWAS for MS could be successfully replicated. We conclude that the regions identified in previous GWAS are also associated in the German population. This reassures the need for detailed investigations of the functional mechanisms underlying the replicated associations., (© 2015 WILEY PERIODICALS, INC.)

Published
2015
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23. Genetic variants associated with celiac disease and the risk for coronary artery disease.

Author

Jansen H, Willenborg C, Schlesinger S, Ferrario PG, König IR, Erdmann J, Samani NJ, Lieb W, and Schunkert H

Subjects
Humans, Celiac Disease genetics, Coronary Artery Disease genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
Abstract

Epidemiological evidence suggests that patients with celiac disease are at increased risk for coronary artery disease (CAD). Genetic-epidemiological analyses identified many single nucleotide polymorphisms (SNPs) associated with celiac disease. If there is a causal relation between celiac disease and CAD, one might expect that risk alleles primarily associated with celiac disease also increase the risk of CAD. In this study we identified from literature 41 SNPs that have been previously described to be genome-wide associated with celiac disease (p < 5 × 10(-08)). These SNPs were evaluated for their association with CAD in the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis (CARDIoGRAM) dataset, a meta-analysis comprising genome-wide SNP association data from 22,233 CAD cases and 64,762 controls. 24 out of 41 (58.5 %) risk alleles for celiac disease displayed a positive association with CAD (CAD-OR range 1.001-1.081). The remaining risk alleles for celiac disease (n = 16) revealed CAD-ORs of ≤1.0 (range 0.951-1.0). The proportion of CAD associated alleles was greater but did not differ significantly from the proportion of 50 % expected by chance (p = 0.069). One SNP (rs653178 at the SH2B3/ATXN2 locus) displayed study-wise statistically significant association with CAD with directionality consistent effects on celiac disease and CAD. However, the effect of this locus is most likely driven by pleiotropic effects on multiple other diseases. In conclusion, this genetically based approach provided no convincing evidence that SNPs associated with celiac disease contribute to the risk of CAD. Hence, common non-genetic factors may play a more important role explaining the coincidence of these two complex disease conditions.

Published
2015
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24. Identification of Immune-Relevant Factors Conferring Sarcoidosis Genetic Risk.

Author

Fischer A, Ellinghaus D, Nutsua M, Hofmann S, Montgomery CG, Iannuzzi MC, Rybicki BA, Petrek M, Mrazek F, Pabst S, Grohé C, Grunewald J, Ronninger M, Eklund A, Padyukov L, Mihailovic-Vucinic V, Jovanovic D, Sterclova M, Homolka J, Nöthen MM, Herms S, Gieger C, Strauch K, Winkelmann J, Boehm BO, Brand S, Büning C, Schürmann M, Ellinghaus E, Baurecht H, Lieb W, Nebel A, Müller-Quernheim J, Franke A, and Schreiber S

Subjects
Adult, Black or African American genetics, Aged, Case-Control Studies, Europe, Female, Genetic Markers, Genotype, Humans, Male, Middle Aged, Sarcoidosis ethnology, Sarcoidosis immunology, White People genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Sarcoidosis genetics
Abstract

Rationale: Genetic variation plays a significant role in the etiology of sarcoidosis. However, only a small fraction of its heritability has been explained so far., Objectives: To define further genetic risk loci for sarcoidosis, we used the Immunochip for a candidate gene association study of immune-associated loci., Methods: Altogether the study population comprised over 19,000 individuals. In a two-stage design, 1,726 German sarcoidosis cases and 5,482 control subjects were genotyped for 128,705 single-nucleotide polymorphisms using the Illumina Immunochip for the screening step. The remaining 3,955 cases, 7,514 control subjects, and 684 parents of affected offspring were used for validation and replication of 44 candidate and two established risk single-nucleotide polymorphisms., Measurements and Main Results: Four novel susceptibility loci were identified with genome-wide significance in the European case-control populations, located on chromosomes 12q24.12 (rs653178; ATXN2/SH2B3), 5q33.3 (rs4921492; IL12B), 4q24 (rs223498; MANBA/NFKB1), and 2q33.2 (rs6748088; FAM117B). We further defined three independent association signals in the HLA region with genome-wide significance, peaking in the BTNL2 promoter region (rs5007259), at HLA-B (rs4143332/HLA-B*0801) and at HLA-DPB1 (rs9277542), and found another novel independent signal near IL23R (rs12069782) on chromosome 1p31.3., Conclusions: Functional predictions and protein network analyses suggest a prominent role of the drug-targetable IL23/Th17 signaling pathway in the genetic etiology of sarcoidosis. Our findings reveal a substantial genetic overlap of sarcoidosis with diverse immune-mediated inflammatory disorders, which could be of relevance for the clinical application of modern therapeutics.

Published
2015
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25. A genome-wide association study reveals 2 new susceptibility loci for atopic dermatitis.

Author

Schaarschmidt H, Ellinghaus D, Rodríguez E, Kretschmer A, Baurecht H, Lipinski S, Meyer-Hoffert U, Harder J, Lieb W, Novak N, Fölster-Holst R, Esparza-Gordillo J, Marenholz I, Ruschendorf F, Hubner N, Reischl E, Waldenberger M, Gieger C, Illig T, Kabesch M, Zhang XJ, Xiao FL, Lee YA, Franke A, and Weidinger S

Subjects
Case-Control Studies, Chromosome Mapping, Dermatitis, Atopic pathology, Genetic Markers, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, DNA-Binding Proteins genetics, Dermatitis, Atopic genetics, Genetic Loci, Genetic Predisposition to Disease, LIM Domain Proteins genetics, Nuclear Proteins genetics, Transcription Factors genetics
Published
2015
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26. Genome-wide association study identifies new susceptibility loci for cutaneous lupus erythematosus.

Author

Kunz M, König IR, Schillert A, Kruppa J, Ziegler A, Grallert H, Müller-Nurasyid M, Lieb W, Franke A, Ranki A, Panelius J, Koskenmies S, Hasan T, Kere J, Rönn AC, Simon JC, Schmidt E, Wenzel J, Tüting T, Landsberg J, Zeller T, Blankenberg S, Gläser R, Patsinakidis N, Kuhn A, and Ibrahim SM

Subjects
Carrier Proteins genetics, Case-Control Studies, Cell Cycle Proteins genetics, Chromosomes, Human, Pair 6 genetics, Finland, Genome-Wide Association Study, Germany, HLA-DQ alpha-Chains genetics, Histocompatibility Antigens Class I genetics, Humans, Lupus Erythematosus, Cutaneous immunology, Major Histocompatibility Complex, Ribonuclease P genetics, Ubiquitin-Protein Ligases, Genetic Predisposition to Disease, Lupus Erythematosus, Cutaneous genetics, Polymorphism, Single Nucleotide
Abstract

Cutaneous lupus erythematosus (CLE) is a chronic autoimmune disease of the skin with typical clinical manifestations. Here, we genotyped 906 600 single nucleotide polymorphisms (SNPs) in 183 CLE cases and 1288 controls of Central European ancestry. Replication was performed for 13 SNPs in 219 case subjects and 262 controls from Finland. Association was particularly pronounced at 4 loci, all with genomewide significance (P < 5 × 10(-8) ): rs2187668 (PGWAS  = 1.4 × 10(-12) ), rs9267531 (PGWAS  = 4.7 × 10(-10) ), rs4410767 (PGWAS  = 1.0 × 10(-9) ) and rs3094084 (PGWAS  = 1.1 × 10(-9) ). All mentioned SNPs are located within the major histocompatibility complex (MHC) region of chromosome 6 and near genes of known immune functions or associations with other autoimmune diseases such as HLA-DQ alpha chain 1 (HLA-DQA1), MICA, MICB, MSH5, TRIM39 and RPP21. For example, TRIM39/RPP21 read through transcript is a known mediator of the interferon response, a central pathway involved in the pathogenesis of CLE and systemic lupus erythematosus (SLE). Taken together, this genomewide analysis of disease association of CLE identified candidate genes and genomic regions that may contribute to pathogenic mechanisms in CLE via dysregulated antigen presentation (HLA-DQA1), apoptosis regulation, RNA processing and interferon response (MICA, MICB, MSH5, TRIM39 and RPP21)., (© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Published
2015
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27. Psoriasis and cardiometabolic traits: modest association but distinct genetic architectures.

Author

Koch M, Baurecht H, Ried JS, Rodriguez E, Schlesinger S, Volks N, Gieger C, Rückert IM, Heinrich L, Willenborg C, Smith C, Peters A, Thorand B, Koenig W, Lamina C, Jansen H, Kronenberg F, Seissler J, Thiery J, Rathmann W, Schunkert H, Erdmann J, Barker J, Nair RP, Tsoi LC, Elder JT, Mrowietz U, Weichenthal M, Mucha S, Schreiber S, Franke A, Schmitt J, Lieb W, and Weidinger S

Subjects
Aged, Case-Control Studies, Cohort Studies, Cross-Sectional Studies, Diabetes Mellitus, Type 2 epidemiology, Female, Germany, Humans, Incidence, Insurance Benefits statistics & numerical data, Insurance, Health statistics & numerical data, Longitudinal Studies, Male, Middle Aged, Myocardial Infarction epidemiology, Prospective Studies, Psoriasis complications, Risk Factors, Severity of Illness Index, Diabetes Mellitus, Type 2 genetics, Genetic Predisposition to Disease genetics, Genotype, Myocardial Infarction genetics, Polymorphism, Single Nucleotide genetics, Psoriasis genetics
Abstract

Psoriasis has been linked to cardiometabolic diseases, but epidemiological findings are inconsistent. We investigated the association between psoriasis and cardiometabolic outcomes in a German cross-sectional study (n=4,185) and a prospective cohort of German Health Insurance beneficiaries (n=1,811,098). A potential genetic overlap was explored using genome-wide data from >22,000 coronary artery disease and >4,000 psoriasis cases, and with a dense genotyping study of cardiometabolic risk loci on 927 psoriasis cases and 3,717 controls. After controlling for major confounders, in the cross-sectional analysis psoriasis was significantly associated with type 2 diabetes (T2D, adjusted odds ratio (OR)=2.36; 95% confidence interval CI=1.26-4.41) and myocardial infarction (MI, OR=2.26; 95% CI=1.03-4.96). In the longitudinal study, psoriasis slightly increased the risk for incident T2D (adjusted relative risk (RR)=1.11; 95% CI=1.08-1.14) and MI (RR=1.14; 95% CI=1.06-1.22), with highest risk increments in systemically treated psoriasis, which accounted for 11 and 17 excess cases of T2D and MI per 10,000 person-years. Except for weak signals from within the major histocompatibility complex, there was no evidence of genetic risk loci shared between psoriasis and cardiometabolic traits. Our findings suggest that psoriasis, in particular severe psoriasis, increases the risk for T2D and MI, and that the genetic architecture of psoriasis and cardiometabolic traits is largely distinct.

Published
2015
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28. Genome-wide association study for endothelial growth factors.

Author

Lieb W, Chen MH, Larson MG, Safa R, Teumer A, Baumeister SE, Lin H, Smith HM, Koch M, Lorbeer R, Völker U, Nauck M, Völzke H, Wallaschofski H, Sawyer DB, and Vasan RS

Subjects
Adult, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Models, Genetic, Genetic Predisposition to Disease, Hepatocyte Growth Factor genetics, Neoplasms genetics, Polymorphism, Single Nucleotide, Receptor, TIE-2 genetics, Vesicular Transport Proteins genetics
Abstract

Background: Endothelial growth factors including angiopoietin-2 (Ang-2), its soluble receptor Tie-2 (sTie-2), and hepatocyte growth factor play important roles in angiogenesis, vascular remodeling, local tumor growth, and metastatic potential of various cancers. Circulating levels of these biomarkers have a heritable component (between 13% and 56%), but the underlying genetic variation influencing these biomarker levels is largely unknown., Methods and Results: We performed a genome-wide association study for circulating Ang-2, sTie-2, and hepatocyte growth factor in 3571 Framingham Heart Study participants and assessed replication of the top hits for Ang-2 and sTie-2 in 3184 participants of the Study of Health in Pomerania. In multivariable-adjusted models, sTie-2 and hepatocyte growth factor concentrations were associated with single-nucleotide polymorphisms in the genes encoding the respective biomarkers (top P=2.40×10(-65) [rs2273720] and 3.64×10(-19) [rs5745687], respectively). Likewise, rs2442517 in the MCPH1 gene (in which the Ang-2 gene is embedded) was associated with Ang-2 levels (P=5.05×10(-8) in Framingham Heart Study and 8.39×10(-5) in Study of Health in Pomerania). Furthermore, single-nucleotide polymorphisms in the AB0 gene were associated with sTie-2 (top single-nucleotide polymorphism rs8176693 with P=1.84×10(-33) in Framingham Heart Study; P=2.53×10(-30) in Study of Health in Pomerania) and Ang-2 (rs8176746 with P=2.07×10(-8) in Framingham Heart Study; P=0.001 in Study of Health in Pomerania) levels on a genome-wide significant level. The top genetic loci were explained between 1.7% (Ang-2) and 11.2% (sTie-2) of the interindividual variation in biomarker levels., Conclusions: Genetic variation contributes to the interindividual variation in growth factor levels and explains a modest proportion of circulating hepatocyte growth factor, Ang-2, and Tie-2. This may potentially contribute to the familial susceptibility to cancer, a premise that warrants further studies., (© 2015 American Heart Association, Inc.)

Published
2015
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29. The role of linkage disequilibrium in case-only studies of gene-environment interactions.

Author

Yadav P, Freitag-Wolf S, Lieb W, and Krawczak M

Subjects
Case-Control Studies, Computer Simulation, Gene Frequency, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide genetics, Colorectal Neoplasms genetics, Gene-Environment Interaction, Genetic Predisposition to Disease, Linkage Disequilibrium
Abstract

Gene-environment (G × E) interactions have been invoked to account, at least in part, for the gap between the known heritability of common human diseases and the phenotypic variation hitherto explained by genetic variants. Noteworthy in this context, a case-only (CO) design has been proposed in the past as a means to detect G × E interactions possibly more efficiently than by using classical case-control and cohort designs. So far, however, most CO studies have followed a candidate (or single) gene approach, and the genome-wide utility of the CO design is still more or less unknown. In particular, the way in which linkage disequilibrium (LD) impacts upon the chance to detect G × E interaction through the analysis of proxy markers has not been studied in much detail before. Therefore, we systematically assessed the power to indirectly detect a given G × E interaction through exploiting LD in a CO design. Our simulations revealed a strong relationship between LD and detection power that was subsequently validated in a real colorectal cancer data set.

Published
2015
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30. Genome-wide exploration identifies sex-specific genetic effects of alleles upstream NPY to increase the risk of severe periodontitis in men.

Author

Freitag-Wolf S, Dommisch H, Graetz C, Jockel-Schneider Y, Harks I, Staufenbiel I, Meyle J, Eickholz P, Noack B, Bruckmann C, Gieger C, Jepsen S, Lieb W, Schreiber S, König IR, and Schaefer AS

Subjects
Adult, Alleles, Chromatin genetics, Chromosomes, Human, Pair 7 genetics, Female, Genome-Wide Association Study, Genotype, Humans, Linkage Disequilibrium genetics, Male, Polymorphism, Single Nucleotide genetics, Promoter Regions, Genetic genetics, RNA, Untranslated genetics, Risk Factors, Sex Characteristics, Sex Factors, Transcription, Genetic, Aggressive Periodontitis genetics, Genetic Predisposition to Disease genetics, Neuropeptide Y genetics
Abstract

Aim: Periodontitis (PD) is influenced by genetic as well as lifestyle and socio-economic factors. Epidemiological studies show that men are at greater risk of severe forms of PD, suggesting interplay between sex and genetic factors. We aimed to systematically analyse patients with aggressive periodontitis (AgP) for gene-sex interactions., Materials and Methods: Three hundred and twenty-nine German AgP cases and 983 controls were genotyped with Affymetrix 500K Arrays and were analysed by logistic regression analysis. The most significant gene-sex interaction was replicated in an independent sample of 382 German/Austrian AgP cases and 489 controls., Results: Ten single-nucleotide polymorphisms (SNPs) in strong linkage disequilibrium (r(2)  > 0.85) upstream the gene neuropeptide Y (NPY) suggested gene-sex interaction (p < 5 × 10(-5) ). SNP rs198712 showed the strongest association in interaction with sex (p = 5.4 × 10(-6) ) with odds ratios in males and females of 1.63 and 0.69 respectively. In the replication, interaction of sex with rs198712 was verified with p = 0.022 (pooled p = 4.03 × 10(-6) ) and similar genetic effects. Analysis of chromatin elements from ENCODE data revealed tissue-specific transcription at the associated non-coding region., Conclusion: This study is the first to observe a sexually dimorphic role of alleles at NPY in humans and support previous genome-wide findings of a role of NPY in severe PD., (© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Published
2014
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31. Genetic predisposition to higher blood pressure increases coronary artery disease risk.

Author

Lieb W, Jansen H, Loley C, Pencina MJ, Nelson CP, Newton-Cheh C, Kathiresan S, Reilly MP, Assimes TL, Boerwinkle E, Hall AS, Hengstenberg C, Laaksonen R, McPherson R, Thorsteinsdottir U, Ziegler A, Peters A, Thompson JR, König IR, Erdmann J, Samani NJ, Vasan RS, and Schunkert H

Subjects
Adult, Aged, Alleles, Case-Control Studies, Coronary Artery Disease genetics, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Risk Factors, Blood Pressure genetics, Coronary Artery Disease epidemiology, Genetic Predisposition to Disease genetics, Hypertension genetics
Abstract

Hypertension is a risk factor for coronary artery disease. Recent genome-wide association studies have identified 30 genetic variants associated with higher blood pressure at genome-wide significance (P<5 × 10(-8)). If elevated blood pressure is a causative factor for coronary artery disease, these variants should also increase coronary artery disease risk. Analyzing genome-wide association data from 22 233 coronary artery disease cases and 64 762 controls, we observed in the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) consortium that 88% of these blood pressure-associated polymorphisms were likewise positively associated with coronary artery disease, that is, they had an odds ratio >1 for coronary artery disease, a proportion much higher than expected by chance (P=4 × 10(-5)). The average relative coronary artery disease risk increase per each of the multiple blood pressure-raising alleles observed in the consortium was 3.0% for systolic blood pressure-associated polymorphisms (95% confidence interval, 1.8%-4.3%) and 2.9% for diastolic blood pressure-associated polymorphisms (95% confidence interval, 1.7%-4.1%). In substudies, individuals carrying most systolic blood pressure- and diastolic blood pressure-related risk alleles (top quintile of a genetic risk score distribution) had 70% (95% confidence interval, 50%-94%) and 59% (95% confidence interval, 40%-81%) higher odds of having coronary artery disease, respectively, as compared with individuals in the bottom quintile. In conclusion, most blood pressure-associated polymorphisms also confer an increased risk for coronary artery disease. These findings are consistent with a causal relationship of increasing blood pressure to coronary artery disease. Genetic variants primarily affecting blood pressure contribute to the genetic basis of coronary artery disease.

Published
2013
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32. Association of parental obesity with concentrations of select systemic biomarkers in nonobese offspring: the Framingham Heart Study.

Author

Lieb W, Pencina MJ, Lanier KJ, Tofler GH, Levy D, Fox CS, Wang TJ, D'Agostino RB Sr, and Vasan RS

Subjects
Aged, Blood Pressure, Body Mass Index, C-Reactive Protein metabolism, Cardiovascular Diseases genetics, Cardiovascular Diseases metabolism, Female, Humans, Linear Models, Logistic Models, Male, Middle Aged, Obesity metabolism, Renin metabolism, Risk Assessment, Biomarkers analysis, Genetic Predisposition to Disease genetics, Obesity genetics, Parents
Abstract

Objective: Parental obesity is a risk factor for offspring obesity. It is unclear whether parental obesity also confers risk for obesity-associated conditions (e.g., a proinflammatory or prothrombotic state) in the absence of offspring obesity., Research Design and Methods: We compared concentrations of multiple biomarkers representing distinct biological pathways (C-reactive protein [CRP], aldosterone, renin, B-type natriuretic peptide, NH(2)-terminal proatrial natriuretic peptide, fibrinogen, and plasminogen activator inhibitor-1) in nonobese Framingham Offspring Study participants with no parents (n = 665), one parent (n = 488), or two parents (n = 119) with obesity (BMI > or =30 kg/m(2))., Results: Nonobese offspring with both parents with obesity had higher CRP levels (median 2.16 mg/l) than offspring with one parent (1.58 mg/l) or no parents (1.35 mg/l) with obesity. After multivariable adjustment, a nonlinear relationship with parental obesity became evident: compared with those without parental obesity, CRP levels were higher in offspring with two obese parents (P = 0.04) but not in offspring with only one obese parent (P = 0.76). Renin levels were more linearly related to parental obesity status, being significantly higher in offspring with one parent (P = 0.04) or two parents (P = 0.09) with obesity (P = 0.02 for trend). The other systemic biomarkers did not vary according to parental obesity status (all P > 0.05)., Conclusions: Our findings suggest that offspring with a high risk of developing obesity have an altered biomarker profile, characterized by systemic inflammation and increased neurohormonal activity, even in the absence of obesity. This is consistent with the notion that parental obesity may confer an increased susceptibility to other adiposity-associated traits.

Published
2009
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33. Common polymorphisms in the cannabinoid CB2 receptor gene (CNR2) are not associated with myocardial infarction and cardiovascular risk factors.

Author

Reinhard W, Stark K, Neureuther K, Sedlacek K, Fischer M, Baessler A, Weber S, Kaess B, Wiedmann S, Erdmann J, Lieb W, Jeron A, Riegger G, and Hengstenberg C

Subjects
Adult, Aged, Animals, Female, Genotype, Humans, Male, Middle Aged, Risk Factors, Genetic Predisposition to Disease, Myocardial Infarction genetics, Polymorphism, Single Nucleotide, Receptor, Cannabinoid, CB2 genetics
Abstract

Myocardial infarction (MI) is a complex disease. Multiple genes and their interaction with various environmental factors influence the pathogenesis of MI that is thought to be tightly regulated by inflammatory pathways. Recent progress in genetic analysis includes the use of large-scale genome-wide association studies that have proven to be powerful tools even in the analysis of multifactorial phenotypes. However, certain genes are only sparsely represented on the available gene chips and additional candidate gene approaches are necessary. One such example is the CNR2 gene, encoding the cannabinoid receptor 2 (CB2), which has been implicated in mediating anti-inflammatory and anti-atherosclerotic effects in vivo. We therefore hypothesized that genetic variations within the CNR2 gene are associated with the development of MI or classic cardiovascular risk factors. In a large case-control study, 1,968 individuals from the German MI family study were examined with 13 single nucleotide polymorphisms (SNPs) covering CNR2 and the adjacent genes. The association of these SNPs with MI or cardiovascular risk factors, such as arterial hypertension, obesity, hypercholesterolemia and diabetes mellitus, was determined. In allelic and genotypic models, none of the SNPs showed a significant association with MI. Separate analyses for men and women revealed no gender-specific relationship between common genetic variations within the CNR2 gene and MI. Moreover, no significant association between CNR2 gene variants and common cardiovascular risk factors was observed. We therefore provide evidence in a large German population that common polymorphisms within the CNR2 gene confer no susceptibility to MI or to cardiovascular risk factors.

Published
2008

34. Association of parental hypertension with concentrations of select biomarkers in nonhypertensive offspring.

Author

Lieb W, Pencina MJ, Wang TJ, Larson MG, Lanier KJ, Benjamin EJ, Levy D, Tofler GH, Meigs JB, Newton-Cheh C, and Vasan RS

Subjects
Adult, Adult Children, Aged, Albumins metabolism, Blood Pressure genetics, Case-Control Studies, Creatinine blood, Female, Genomic Imprinting, Humans, Hypertension epidemiology, Incidence, Male, Middle Aged, Reference Values, Renin metabolism, Risk Assessment, Biomarkers analysis, C-Reactive Protein metabolism, Genetic Predisposition to Disease epidemiology, Hypertension genetics
Abstract

Children of parents with hypertension are at increased risk of developing high blood pressure. We hypothesize that circulating concentrations of putative biomarkers (that may play a role in development of high blood pressure) are higher in nonhypertensive offspring of parents with hypertension. We compared concentrations of 4 different biomarkers (urinary albumin:creatinine ratio, circulating C-reactive protein, aldosterone:renin ratio, and plasminogen activator inhibitor-1) in nonhypertensive Framingham offspring study participants with none (n=233), 1 (n=474), or both (n=322) parents with hypertension. Parental hypertension was defined as onset before age 60 years, based on longitudinal observations of the original Framingham cohort. Serum C-reactive protein concentrations were higher in nonhypertensive offspring with 1 (median: 1.7; Q1 to Q3: 0.8 to 3.6 mg/L) or both parents with hypertension (median: 1.8; Q1 to Q3: 0.7 to 3.6 mg/L) compared with offspring without parental hypertension (median: 1.4; Q1 to Q3: 0.7 to 3.2 mg/L). In multivariable analyses, parental hypertension was associated with higher serum C-reactive protein concentration in offspring (15% increase per parent with hypertension; P=0.004). Prospectively, the relation of parental hypertension to longitudinal changes in blood pressure in the nonhypertensive offspring was attenuated on adjustment for C-reactive protein (P=0.04 for attenuation). The levels of the other biomarkers evaluated did not significantly differ in offspring according to parental hypertension status. In conclusion, serum C-reactive protein concentrations are higher in nonhypertensive offspring of parents with hypertension. These data suggest that inflammation may partly mediate the familial influences on hypertension risk.

Published
2008
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35. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Author

Ehret, Georg B., Munroe, Patricia B., Rice, Kenneth M., Bochud, Murielle, Johnson, Andrew D., Chasman, Daniel I., Smith, Albert V., Tobin, Martin D., Verwoert, Germaine C., Hwang, Shih-Jen, Pihur, Vasyl, Vollenweider, Peter, O'Reilly, Paul F., Amin, Najaf, Bragg-Gresham, Jennifer L., Teumer, Alexander, Glazer, Nicole L., Launer, Lenore, Zhao, Jing Hua, Aulchenko, Yurii, Heath, Simon, Sober, Siim, Parsa, Afshin, Luan, Jian'an, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Hicks, Andrew A., Jackson, Anne U., Peden, John F., Tanaka, Toshiko, Wild, Sarah H., Rudan, Igor, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N., Fava, Cristiano, Chambers, John C., Fox, Ervin R., Kumari, Meena, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Whincup, Peter H., Liu, Yongmei, Shi, Gang, Kuusisto, Johanna, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Hoang Nguyen, Khanh-Dung, Lehtimäki, Terho, Matullo, Giuseppe, Wu, Ying, Gaunt, Tom R., Charlotte Onland-Moret, N., Cooper, Matthew N., Platou, Carl G. P., Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Braund, Peter S., Kuznetsova, Tatiana, Uiterwaal, Cuno S. P. M., Adeyemo, Adebowale, Palmas, Walter, Campbell, Harry, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D., Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C., O'Connell, Jeffrey R., Steinle, Nanette I., Grobbee, Diederick E., Arking, Dan E., Kardia, Sharon L., Morrison, Alanna C., Hernandez, Dena, Najjar, Samer, McArdle, Wendy L., Hadley, David, Brown, Morris J., Connell, John M., Hingorani, Aroon D., Day, Ian N. M., Lawlor, Debbie A., Beilby, John P., Lawrence, Robert W., Clarke, Robert, Hopewell, Jemma C., Ongen, Halit, Dreisbach, Albert W., Li, Yali, Hunter Young, J., Bis, Joshua C., Kähönen, Mika, Viikari, Jorma, Adair, Linda S., Lee, Nanette R., Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Frayling, Timothy M., Islam, Muhammad, Jafar, Tazeen H., Erdmann, Jeanette, Kulkarni, Smita R., Bornstein, Stefan R., Grässler, Jürgen, Groop, Leif, Voight, Benjamin F., Kettunen, Johannes, Howard, Philip, Taylor, Andrew, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Barroso, Inês, Khaw, Kay-Tee, Weder, Alan B., Hunt, Steven C., Sun, Yan V., Bergman, Richard N., Collins, Francis S., Bonnycastle, Lori L., Scott, Laura J., Stringham, Heather M., Peltonen, Leena, Perola, Markus, Vartiainen, Erkki, Brand, Stefan-Martin, Staessen, Jan A., Wang, Thomas J., Burton, Paul R., Artigas, Maria Soler, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K., Rudock, Megan E., Heckbert, Susan R., Smith, Nicholas L., Wiggins, Kerri L., Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairaj, Tripathy, Vikal, Langefeld, Carl D., Rosengren, Annika, Thelle, Dag S., Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, McKenzie, Colin A., Salako, Tunde, Iwai, Naoharu, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H. -Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S., Zhang, Weihua, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Wong, Andrew, Narisu, Narisu, Stančáková, Alena, Raffel, Leslie J., Yao, Jie, Kathiresan, Sekar, O'Donnell, Christopher J., Schwartz, Stephen M., Arfan Ikram, M., Longstreth Jr. , W. T., Mosley, Thomas H., Seshadri, Sudha, Shrine, Nick R. G., Wain, Louise V., Morken, Mario A., Swift, Amy J., Laitinen, Jaana, Prokopenko, Inga, Zitting, Paavo, Cooper, Jackie A., Humphries, Steve E., Danesh, John, Rasheed, Asif, Goel, Anuj, Hamsten, Anders, Watkins, Hugh, Bakker, Stephan J. L., van Gilst, Wiek H., Janipalli, Charles S., Radha Mani, K., Yajnik, Chittaranjan S., Hofman, Albert, Mattace-Raso, Francesco U. S., Oostra, Ben A., Demirkan, Ayse, Isaacs, Aaron, Rivadeneira, Fernando, Lakatta, Edward G., Orru, Marco, Scuteri, Angelo, Ala-Korpela, Mika, Kangas, Antti J., Lyytikäinen, Leo-Pekka, Soininen, Pasi, Tukiainen, Taru, Würtz, Peter, Twee-HeeOng, Rick, Dörr, Marcus, Kroemer, Heyo K., Völker, Uwe, Völzke, Henry, Galan, Pilar, Hercberg, Serge, Lathrop, Mark, Zelenika, Diana, Deloukas, Panos, Mangino, Massimo, Spector, Tim D., Zhai, Guangju, Meschia, James F., Nalls, Michael A., Sharma, Pankaj, Terzic, Janos, Kranthi Kumar, M. V., Denniff, Matthew, Zukowska-Szczechowska, Ewa, Wagenknecht, Lynne E., Fowkes, F. Gerald R., Charchar, Fadi J., Schwarz, Peter E. H., Hayward, Caroline, Guo, Xiuqing, Rotimi, Charles, Bots, Michiel L., Brand, Eva, Samani, Nilesh J., Polasek, Ozren, Talmud, Philippa J., Nyberg, Fredrik, Kuh, Diana, Laan, Maris, Hveem, Kristian, Palmer, Lyle J., van der Schouw, Yvonne T., Casas, Juan P., Mohlke, Karen L., Vineis, Paolo, Raitakari, Olli, Ganesh, Santhi K., Wong, Tien Y., Shyong Tai, E., Cooper, Richard S., Laakso, Markku, Rao, Dabeeru C., Harris, Tamara B., Morris, Richard W., Dominiczak, Anna F., Kivimaki, Mika, Marmot, Michael G., Miki, Tetsuro, Saleheen, Danish, Chandak, Giriraj R., Coresh, Josef, Navis, Gerjan, Salomaa, Veikko, Han, Bok-Ghee, Zhu, Xiaofeng, Kooner, Jaspal S., Melander, Olle, Ridker, Paul M., Bandinelli, Stefania, Gyllensten, Ulf B., Wright, Alan F., Wilson, James F., Ferrucci, Luigi, Farrall, Martin, Tuomilehto, Jaakko, Pramstaller, Peter P., Elosua, Roberto, Soranzo, Nicole, Sijbrands, Eric J. G., Altshuler, David, Loos, Ruth J. F., Shuldiner, Alan R., Gieger, Christian, Meneton, Pierre, Uitterlinden, Andre G., Wareham, Nicholas J., Gudnason, Vilmundur, Rotter, Jerome I., Rettig, Rainer, Uda, Manuela, Strachan, David P., Witteman, Jacqueline C. M., Hartikainen, Anna-Liisa, Beckmann, Jacques S., Boerwinkle, Eric, Vasan, Ramachandran S., Boehnke, Michael, Larson, Martin G., Järvelin, Marjo-Riitta, Psaty, Bruce M., Abecasis, Gonçalo R., Chakravarti, Aravinda, Elliott, Paul, van Duijn, Cornelia M., Newton-Cheh, Christopher, Levy, Daniel, Caulfield, Mark J., Johnson, Toby, Tang H, Knowles J, Hlatky M, Fortmann S, Assimes TL, Quertermous T, Go A, Iribarren C, Absher D, Risch N, Meyers R, Sidney S, Ziegler A, Schillert A, Bickel C, Sinning C, Rupprecht HJ, Lackner K, Wild P, Schnabel R, Blankenberg S, Zeller T, Münzel T, Perret C, Cambien F, Tiret L, Nicaud V, Proust C, Dehghan A, Hofman A, Uitterlinden A, van Duijn C, Levy D, Whitteman J, Cupples LA, Demissie-Banjaw S, Ramachandran V, Smith A, Gudnason V, Boerwinkle E, Folsom A, Morrison A, Psaty BM, Chen IY, Rotter JI, Bis J, Volcik K, Rice K, Taylor KD, Marciante K, Smith N, Glazer N, Heckbert S, Harris T, Lumley T, Kong A, Thorleifsson G, Thorgeirsson G, Holm H, Gulcher JR, Stefansson K, Andersen K, Gretarsdottir S, Thorsteinsdottir U, Preuss M, Schreiber S, Meitinger T, König IR, Lieb W, Hengstenberg C, Schunkert H, Erdmann J, Fisher M, Grosshennig A, Medack A, Stark K, Linsel-Nitschke P, Bruse P, Aherrahrou Z, Peters A, Loley C, Willenborg C, Nahrstedt J, Freyer J, Gulde S, Doering A, Meisinger C, Wichmann HE, Klopp N, Illig T, Meinitzer A, Tomaschitz A, Halperin E, Dobnig H, Scharnagl H, Kleber M, Laaksonen R, Pilz S, Grammer TB, Stojakovic T, Renner W, März W, Böhm BO, Winkelmann BR, Winkler K, Hoffmann M, O'Donnell CJ, Voight BF, Altshuler D, Siscovick DS, Musunuru K, Peltonen L, Barbalic M, Melander O, Elosua R, Kathiresan S, Schwartz SM, Salomaa V, Guiducci C, Burtt N, Gabriel SB, Stewart AF, Wells GA, Chen L, Jarinova O, Roberts R, McPherson R, Dandona S, Pichard AD, Rader DJ, Devaney J, Lindsay JM, Kent KM, Qu L, Satler L, Burnett MS, Li M, Reilly MP, Wilensky R, Waksman R, Epstein S, Mattha W, Knouf CW, Waterworth DM, Hakonarson HH, Walker M, Mooser V, Hall AS, Balmforth AJ, Wright BJ, Nelson C, Thompson JR, Samani NJ, Braund PS, Ball SG, Smith NL, Felix JF, Morrison AC, Demissie S, Glazer NL, Loehr LR, Rosamond WD, Rivadeneira F, Bis JC, Folsom AR, Benjamin E, Aulchenko YS, Haritunians T, Couper D, Murabito J, Wang YA, Stricker B, Gottdiener JS, Chang PP, Wang TJ, Rice KM, Heckbert SR, Fox ER, Uitterlinden AG, Willerson JT, van Duijn CM, Witteman JC, Vasan RS, Köttgen A, Pattaro C, Böger CA, Fuchsberger C, Olden M, Parsa A, Gao X, Yang Q, Smith AV, O'Connell JR, Schmidt H, Tanaka T, Isaacs A, Ketkar S, Hwang SJ, Johnson A, Teumer A, Paré G, Atkinson EJ, Lohman K, Cornelis MC, Probst-Hensch NM, Kronenberg F, Tönjes A, Hayward C, Aspelund T, Eiriksdottir G, Launer LJ, Harris TB, Rampersaud E, Mitchell BD, Arking DE, Struchalin M, Cavalieri M, Singleton A, Giallauria, Francesco, Metter J, de Boer J, Siscovick D, Zillikens MC, Oostra BA, Feitosa M, Province M, de Andrade M, Turne ST, Wild PS, Schnabel RB, Wilde S, Munzel TF, Leak TS, Koenig W, Zgaga L, Zemunik T, Kolcic I, Minelli C, Hu FB, Johansson A, Igl W, Zaboli G, Wild SH, Wright AF, Campbell H, Ellinghaus D, Imboden M, Nitsch D, Brandstätter A, Kollerits B, Kedenko L, Mägi R, Stumvoll M, Kovacs P, Boban M, Campbell S, Endlich K, Völzke H, Kroemer HK, Nauck M, Völker U, Polasek O, Vitart V, Badola S, Parker AN, Ridker PM, Kardia SL, Liu Y, Curhan GC, Franke A, Rochat T, Paulweber B, Prokopenko I, Wang W, Shuldiner AR, Coresh J, Schmidt R, Ferrucci L, Shlipak MG, Borecki I, Krämer BK, Rudan I, Gyllensten U, Wilson JF, Pramstaller PP, Rettig R, Hastie N, Chasman DI, Kao WH, Heid IM, Fox CS, Vasan R, Felix SB, Watzinger N, Larson MG, Homuth G, Aragam J, Dörr M, Zweiker R, Lind L, Rodeheffer RJ, Greiser KH, Deckers JW, Stritzke J, Lackner KJ, Ingelsson E, Kullo I, Haerting J, Stricker BH, Reffelmann T, Redfield MM, Werdan K, Mitchell GF, Arnett D, Blettner M, Friedrich N, Benjamin EJ, Chambers JC, Zhang W, Lord GM, van der Harst P, Lawlor DA, Sehmi JS, Gale DP, Wass MN, Ahmadi KR, Bakker SJ, Beckmann J, Bilo HJ, Bochud M, Brown MJ, Caulfield MJ, Connell JM, Cook HT, Cotlarciuc I, Davey Smith G, de Silva R, Deng G, Devuyst O, Dikkeschei LD, Dimkovic T, Dockrell M, Dominiczak A, Ebrahim S, Eggermann T, Farrall M, Floege J, Forouhi NG, Gansevoort RT, Han X, Hedblad B, Homan van der Heide JJ, Hepkema BG, Hernandez-Fuentes M, Hypponen E, Johnson T, de Jong PE, Kleefstra N, Lagou V, Lapsley M, Li Y, Loos RJ, Luan J, Luttropp K, Maréchal C, Munroe PB, Nordfors L, Penninx BW, Perucha E, Pouta A, Roderick PJ, Ruokonen A, Sanna S, Schalling M, Schlessinger D, Schlieper G, Seelen MA, Sjögren M, Smit JH, Snieder H, Soranzo N, Spector TD, Stenvinkel P, Sternberg MJ, Swaminathan R, Ubink-Veltmaat LJ, Uda M, Vollenweider P, Wallace C, Waterworth D, Zerres K, Waeber G, Wareham NJ, Maxwell PH, McCarthy MI, Jarvelin MR, Abecasis GR, Lightstone L, Scott J, Navis G, Elliot P, Kooner JS., AII - Amsterdam institute for Infection and Immunity, Nephrology, Epidemiologie, RS: CARIM School for Cardiovascular Diseases, Epidemiology, Medical Microbiology & Infectious Diseases, Radiology & Nuclear Medicine, Cardiology, Internal Medicine, Clinical Genetics, Erasmus MC other, Obstetrics & Gynecology, International Consortium for Blood Pressure Genome-Wide Association Studies, CARDIoGRAM consortium, CKDGen Consortium, KidneyGen Consortium, EchoGen consortium, CHARGE-HF consortium, Zhao, Jing Hua [0000-0003-4930-3582], Luan, Jian'an [0000-0003-3137-6337], Barroso, Ines [0000-0001-5800-4520], Khaw, Kay-Tee [0000-0002-8802-2903], Danesh, John [0000-0003-1158-6791], Soranzo, Nicole [0000-0003-1095-3852], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Vascular Ageing Programme (VAP), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Center for Complex Disease Genomics, Johns Hopkins University School of Medicine, Clinical Pharmacology and The Genome Centre, Queen Mary University of London (QMUL), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Center for Human Genetic Research, Massachusetts General Hospital [Boston], Program in Medical and Population Genetics, Harvard University-Massachusetts Institute of Technology (MIT), Ehret, Georg B., Munroe, Patricia B., Rice, Kenneth M., Bochud, Murielle, Johnson, Andrew D., Chasman, Daniel I., Smith, Albert V., Tobin, Martin D., Verwoert, Germaine C., Hwang, Shih-Jen, Pihur, Vasyl, Vollenweider, Peter, O'Reilly, Paul F., Amin, Najaf, Bragg-Gresham, Jennifer L., Teumer, Alexander, Glazer, Nicole L., Launer, Lenore, Zhao, Jing Hua, Aulchenko, Yurii, Heath, Simon, Sober, Siim, Parsa, Afshin, Luan, Jian'An, Arora, Pankaj, Dehghan, Abba, Zhang, Feng, Lucas, Gavin, Hicks, Andrew A., Jackson, Anne U., Peden, John F., Tanaka, Toshiko, Wild, Sarah H., Rudan, Igor, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N., Fava, Cristiano, Chambers, John C., Fox, Ervin R., Kumari, Meena, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. 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Subjects
novel loci, Kidney Disease, Polymorphism, Single Nucleotide/*genetics, [SDV]Life Sciences [q-bio], left ventricular wall thickness, LOCI, Genome-wide association study, Blood Pressure, Disease, Coronary Artery Disease, 030204 cardiovascular system & hematology, Coronary artery disease, 0302 clinical medicine, RELEVANCE, Africa/ethnology, Cardiovascular Disease, genetics, Kidney Diseases/genetics, Stroke, genome wide association study, POPULATION, ta118, Blood pressure, hypertension, stroke, coronary artery disease, ddc:616, 0303 health sciences, education.field_of_study, Asia/ethnology, Multidisciplinary, Coronary Artery Disease/genetics, COMMON VARIANTS, Genetic Predisposition to Disease/*genetics, 3. Good health, Europe, Cardiovascular Diseases, Hypertension, Cardiology, Kidney Diseases, HEALTH, Human, medicine.medical_specialty, Asia, Population, Renal function, Polymorphism, Single Nucleotide, Europe/ethnology, Article, CLONING, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Stroke/genetics, Internal medicine, medicine, Humans, Cardiovascular Diseases/*genetics, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, education, METAANALYSIS, 030304 developmental biology, RECEPTOR, genes, blood pressure, cardiovascular disease risk, medicine.disease, Africa, Blood Pressure/*genetics/physiology, Hypertension/genetics, Kidney disease, Genome-Wide Association Study
Abstract

Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention. ispartof: Nature vol:478 issue:7367 pages:103-109 ispartof: location:England status: published

Published
2011
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36. Genetic correlation between amyotrophic lateral sclerosis and schizophrenia

Author

McLaughlin, RL, Schijven, D, Van Rheenen, W, Van Eijk, KR, O'Brien, M, Kahn, RS, Ophoff, RA, Goris, A, Bradley, DG, Al-Chalabi, A, Van Den Berg, LH, Luykx, JJ, Hardiman, O, Veldink, JH, Shatunov, A, Dekker, AM, Diekstra, FP, Pulit, SL, Van Der Spek, RAA, Van Doormaal, PTC, Sproviero, W, Jones, AR, Nicholson, GA, Rowe, DB, Pamphlett, R, Kiernan, MC, Bauer, D, Kahlke, T, Williams, K, Eftimov, F, Fogh, I, Ticozzi, N, Lin, K, Millecamps, S, Salachas, F, Meininger, V, Carvalho, MD, Pinto, S, Mora, JS, Rojas-Garcyá, R, Polak, M, Chandran, S, Colville, S, Swingler, R, Morrison, KE, Shaw, PJ, Hardy, J, Orrell, RW, Pittman, A, Sidle, K, Fratta, P, Malaspina, A, Petri, S, Abdulla, S, Drepper, C, Sendtner, M, Meyer, T, Wiedau-Pazos, M, Lomen-Hoerth, C, Deerlin, VMV, Trojanowski, JQ, Elman, L, McCluskey, L, Basak, N, Meitinger, T, Lichtner, P, Blagojevic-Radivojkov, M, Andres, CR, Maurel, C, Bensimon, G, Landwehrmeyer, B, Brice, A, Payan, CAM, Saker-Delye, S, Durr, A, Wood, N, Tittmann, L, Lieb, W, Franke, A, Rietschel, M, Cichon, S, Nothen, MM, Amouyel, P, Tzourio, C, Dartigues, JF, Uitterlinden, AG, Rivadeneira, F, Estrada, K, Hofman, A, Curtis, C, Derkooi, AJV, De Visser, M, Weber, M, Shaw, CE, Smith, BN, Pansarasa, O, Cereda, C, Bo, RD, Comi, GP, and D'Alfonso, S

Subjects
Multifactorial Inheritance, Amyotrophic Lateral Sclerosis, European Continental Ancestry Group, Comorbidity, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Cohort Studies, Case-Control Studies, mental disorders, Linear Models, Odds Ratio, Schizophrenia, Humans, Genetic Predisposition to Disease, Family, Genome-Wide Association Study
Abstract

© 2017 The Author(s). We have previously shown higher-than-expected rates of schizophrenia in relatives of patients with amyotrophic lateral sclerosis (ALS), suggesting an aetiological relationship between the diseases. Here, we investigate the genetic relationship between ALS and schizophrenia using genome-wide association study data from over 100,000 unique individuals. Using linkage disequilibrium score regression, we estimate the genetic correlation between ALS and schizophrenia to be 14.3% (7.05-21.6; P=1 × 10-4) with schizophrenia polygenic risk scores explaining up to 0.12% of the variance in ALS (P=8.4 × 10-7). A modest increase in comorbidity of ALS and schizophrenia is expected given these findings (odds ratio 1.08-1.26) but this would require very large studies to observe epidemiologically. We identify five potential novel ALS-associated loci using conditional false discovery rate analysis. It is likely that shared neurobiological mechanisms between these two disorders will engender novel hypotheses in future preclinical and clinical studies.

Published
2017

37. Large-scale gene-centric analysis identifies novel variants for coronary artery disease

Author

Butterworth, As, Braund, Ps, Farrall, M, Hardwick, Rj, Saleheen, D, Peden, Jf, Soranzo, N, Chambers, Jc, Sivapalaratnam, S, Kleber, Me, Keating, B, Qasim, A, Klopp, N, Erdmann, J, Assimes, Tl, Ball, Sg, Balmforth, Aj, Barnes, Ta, Basart, H, Baumert, J, Bezzina, Cr, Boerwinkle, E, Boehm, Bo, Brocheton, J, Bugert, P, Cambien, F, Clarke, R, Codd, V, Collins, R, Couper, D, Cupples, La, de Jong JS, Diemert, P, Ejebe, K, Elbers, Cc, Elliott, P, Fornage, M, Franzosi, Mg, Frossard, P, Garner, S, Goel, A, Goodall, Ah, Hengstenberg, C, Hunt, Se, Kastelein, Jj, Klungel, Oh, Klüter, H, Koch, K, König, Ir, Kooner, As, Laaksonen, R, Lathrop, M, Li, M, Liu, K, Mcpherson, R, Musameh, Md, Musani, S, Nelson, Cp, O'Donnell, Cj, Ongen, H, Papanicolaou, G, Peters, A, Peters, Bj, Potter, S, Psaty, Bm, Qu, L, Rader, Dj, Rasheed, A, Rice, C, Scott, J, Seedorf, U, Sehmi, Js, Sotoodehnia, N, Stark, K, Stephens, J, van der Schoot CE, van der Schouw YT, Thorsteinsdottir, U, Tomaszewski, M, van der Harst, P, Vasan, Rs, Wilde, Aa, Willenborg, C, Winkelmann, Br, Zaidi, M, Zhang, W, Ziegler, A, de Bakker PI, Koenig, W, Mätz, W, Trip, Md, Reilly, Mp, Kathiresan, S, Schunkert, H, Hamsten, A, Hall, As, Kooner, Js, Thompson, Sg, Thompson, Jr, Deloukas, P, Ouwehand, Wh, Watkins, H, Danesh, J, Samani, Nj, Barnes, T, Rafelt, S, Bruinsma, N, Dekker, Lr, Henriques, Jp, Koch, Kt, de Winter RJ, Alings, M, Allaart, Cf, Gorgels, Ap, Verheugt, Fw, Mueller, M, Meisinger, C, Derohannessian, S, Mehta, Nn, Ferguson, J, Hakonarson, H, Matthai, W, Wilensky, R, Hopewell, Jc, Parish, S, Linksted, P, Notman, J, Gonzalez, H, Young, A, Ostley, T, Munday, A, Goodwin, N, Verdon, V, Shah, S, Cobb, L, Edwards, C, Mathews, C, Gunter, R, Benham, J, Davies, C, Cobb, M, Crowther, J, Richards, A, Silver, M, Tochlin, S, Mozley, S, Clark, S, Radley, M, Kourellias, K, Silveira, A, Söderholm, B, Olsson, P, Barlera, S, Tognoni, G, Rust, S, Assmann, G, Heath, S, Zelenika, D, Gut, I, Green, F, Peden, J, Aly, A, Anner, K, Björklund, K, Blomgren, G, Cederschiöld, B, Danell Toverud, K, Eriksson, P, Grundstedt, U, Heinonen, M, Hellénius, Ml, van't Hooft, F, Husman, K, Lagercrantz, J, Larsson, A, Larsson, M, Mossfeldt, M, Mälarstig, A, Olsson, G, Sabater Lleal, M, Sennblad, B, Strawbridge, R, Öhrvik, J, Zaman, Ks, Mallick, Nh, Azhar, M, Samad, A, Ishaq, M, Shah, N, Samuel, M, Reilly, M, Holm, H, Preuss, M, Stewart, Af, Barbalic, M, Gieger, C, Absher, D, Aherrahrou, Z, Allayee, H, Altshuler, D, Anand, S, Andersen, K, Anderson, Jl, Ardissino, D, Becker, Lc, Becker, Dm, Berger, K, Bis, Jc, Boekholdt, Sm, Brown, Mj, Burnett, Ms, Buysschaert, I, Carlquist, Jf, Chen, L, Davies, Rw, Dedoussis, G, Dehghan, A, Demissie, S, Devaney, J, Do, R, Doering, A, El Mokhtari NE, Ellis, Sg, Elosua, R, Engert, Jc, Epstein, S, de Faire, U, Fischer, M, Folsom, Ar, Freyer, J, Gigante, B, Girelli, D, Gretarsdottir, S, Gudnason, V, Gulcher, Jr, Tennstedt, S, Halperin, E, Hammond, N, Hazen, Sl, Hofman, A, Horne, Bd, Illig, T, Iribarren, C, Jones, Gt, Jukema, Jw, Kaiser, Ma, Kaplan, Lm, Khaw, Kt, Knowles, Jw, Kolovou, G, Kong, A, Lambrechts, D, Leander, K, Lieb, W, Lettre, G, Loley, C, Lotery, Aj, Mannucci, Pm, Maouche, S, Martinelli, Nicola, Mckeown, Pp, Meitinger, T, Melander, O, Merlini, Pa, Mooser, V, Morgan, T, Mühleisen, Tw, Muhlestein, Jb, Musunuru, K, Nahrstaedt, J, Nöthen, Mm, Olivieri, Oliviero, Peyvandi, F, Patel, Rs, Patterson, Cc, Quyyumi, Aa, Rallidis, Ls, Roosendaal, Fr, Rubin, D, Salomaa, V, Sampietro, Ml, Sandhu, Ms, Schadt, E, Schäfer, A, Schillert, A, Schreiber, S, Schrezenmeir, J, Schwartz, Sm, Siscovick, Ds, Sivananthan, M, Smith, Av, Smith, Tb, Snoep, Jd, Spertus, Ja, Stefansson, K, Stirrups, K, Stoll, M, Tang, Wh, Thorgeirsson, G, Thorleifsson, G, Uitterlinden, Ag, van Rij AM, Voight, Bf, Wareham, Nj, Awells, G, Wichmann, He, Witteman, Jc, Wright, Bj, Ye, S, Quertermous, T, März, W, Blankenberg, S, Roberts, R, Onland Moret NC, van Setten, J, Verschuren, Wm, Boer, Jm, Wijmenga, C, Hofker, Mh, Maitland van der Zee AH, de Boer, A, Grobbee, De, Attwood, T, Belz, S, Braund, P, Cooper, J, Crisp Hihn, A, Foad, N, Gracey, J, Gray, E, Gwilliams, R, Heimerl, S, Jolley, J, Krishnan, U, Lloyd Jones, H, Lugauer, I, Lundmark, P, Moore, Js, Muir, D, Murray, E, Neudert, J, Niblett, D, O'Leary, K, Pollard, H, Rankin, A, Rice, Cm, Sager, H, Sambrook, J, Schmitz, G, Scholz, M, Schroeder, L, Syvannen, Ac, Wallace, C., Cardiologie, RS: CAPHRI School for Public Health and Primary Care, Vascular Medicine, Other departments, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Landsteiner Laboratory, Clinical Haematology, Pulmonology, and Medical Research Council (MRC)

Subjects
Male, Cancer Research, Candidate gene, Epidemiology, Genome-wide association study, Coronary Artery Disease, 030204 cardiovascular system & hematology, Cardiovascular, 0302 clinical medicine, GENETICS & HEREDITY, Genetics (clinical), Genetics, 0303 health sciences, Cardiovascular diseases [NCEBP 14], Middle Aged, 3. Good health, CYP17A1, Genetic Epidemiology, Genome-wide association, Myocardial-infarction, Susceptibility loci, Risk, Atherosclerosis, Metanalysis, Lipoprotein, Medicine, Female, Life Sciences & Biomedicine, Research Article, Asian Continental Ancestry Group, Adult, SUSCEPTIBILITY LOCI, lcsh:QH426-470, European Continental Ancestry Group, Biology, Polymorphism, Single Nucleotide, coronary artery disease, genetics, White People, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Asian People, Genetic variation, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, Allele, Molecular Biology, Gene, METAANALYSIS, Ecology, Evolution, Behavior and Systematics, Genetic Association Studies, Cardiovascular Disease Epidemiology, Alleles, 030304 developmental biology, Aged, 0604 Genetics, Science & Technology, Case-control study, Genetic Variation, Human Genetics, Odds ratio, large-scale gene analysis, lcsh:Genetics, LIPOPROTEIN, MYOCARDIAL-INFARCTION, ATHEROSCLEROSIS, Case-Control Studies, Genetics of Disease, IBC 50K CAD Consortium, Developmental Biology, Genome-Wide Association Study
Abstract

Coronary artery disease (CAD) has a significant genetic contribution that is incompletely characterized. To complement genome-wide association (GWA) studies, we conducted a large and systematic candidate gene study of CAD susceptibility, including analysis of many uncommon and functional variants. We examined 49,094 genetic variants in ∼2,100 genes of cardiovascular relevance, using a customised gene array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin). We attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. Potential mechanisms through which the novel variants could affect CAD risk were explored through association tests with vascular risk factors and gene expression. We confirmed associations of several previously known CAD susceptibility loci (eg, 9p21.3:p, Author Summary Coronary artery disease (CAD) has a strong genetic basis that remains poorly characterised. Using a custom-designed array, we tested the association with CAD of almost 50,000 common and low frequency variants in ∼2,000 genes of known or suspected cardiovascular relevance. We genotyped the array in 15,596 CAD cases and 34,992 controls (11,202 cases and 30,733 controls of European descent; 4,394 cases and 4,259 controls of South Asian origin) and attempted to replicate putative novel associations in an additional 17,121 CAD cases and 40,473 controls. We report the novel association of variants in or near four genes with CAD and in additional studies identify potential mechanisms by which some of these novel variants affect CAD risk. Interestingly, we found that these variants, as well as the majority of previously reported CAD variants, have similar associations in Europeans and South Asians. Contrary to prior expectations, many previously suggested candidate genes did not show evidence of any effect on CAD risk, and neither did we identify any novel low frequency alleles with strong effects amongst the genes tested. Discovery of novel genes associated with heart disease may help to further understand the aetiology of cardiovascular disease and identify new targets for therapeutic interventions.

Published
2016

38. Smoking Modifies the Genetic Risk for Early-Onset Periodontitis.

Author

Freitag-Wolf, S., Munz, M., Wiehe, R., Junge, O., Graetz, C., Jockel-Schneider, Y., Staufenbiel, I., Bruckmann, C., Lieb, W., Franke, A., Loos, B.G., Jepsen, S., Dommisch, H., and Schaefer, A.S.

Subjects
SMOKING, PERIODONTITIS, DISEASE prevalence, DISEASE progression, ALVEOLAR process, DISEASE risk factors, GENETICS, PHYSIOLOGICAL effects of tobacco
Abstract

Periodontitis has low-prevalence, highly severe disease manifestations with an early onset and rapid progression. The diagnosis is based on severe destruction of the alveolar bone in adolescents and young adults. Genetic susceptibility variants and smoking are well-established risk factors, but their interactions in modifying disease susceptibility have not been studied. We aimed to identify genetic risk variants of early-onset periodontitis that unmask their effects on tobacco smoke exposure. To this end, we analyzed 79,780,573 common variants in 741 northwest Europeans diagnosed to have >30% bone loss at >2 teeth before 35 y of age, using imputed genotypes of the OmniExpress BeadChip. Never versus ever smokers were compared in a logistic regression analysis via a case-only approach. To explore the effect of tobacco smoke on the expression of the G×S-associated genes, cultures of primary gingival fibroblasts (n = 9) were exposed to cigarette smoke extract, and transcripts were quantified by reverse transcription polymerase chain reaction. We identified 16 loci for which our analysis suggested an association with G×S increased disease risk (P < 5 × 10-5). Nine loci had previously been reported to be associated with spirometric measures of pulmonary function by an earlier G×S genome-wide association study. Genome-wide significant cis expression quantitative trait loci were reported for G×S-associated single-nucleotide polymorphisms at ST8SIA1 and SOST, indicating a causal role of these genes in tobacco-related etiopathology. Notably, SOST is a negative regulator of bone growth, and ST8SIA1 has a role in tissue remodeling. Cigarette smoke extract significantly altered the expression of 2 associated genes: SSH1 (P = 5 × 10-07), which is required for NF-κB activation and innate immune responses to bacterial invasion, and ST8SIA1 (P = 0.0048). We conclude that the genetic predisposition to early-onset periodontitis is in part triggered by smoking and that tobacco smoke directly affects the expression of genes involved in bone homeostasis, tissue repair, and immune response. [ABSTRACT FROM AUTHOR]

Published
2019
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39. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

Author

Schunkert, H, König, Ir, Kathiresan, S, Reilly, Mp, Assimes, Tl, Holm, H, Preuss, M, Stewart, Af, Barbalic, M, Gieger, C, Absher, D, Aherrahrou, Z, Allayee, H, Altshuler, D, Anand, Ss, Andersen, K, Anderson, Jl, Ardissino, D, Ball, Sg, Balmforth, Aj, Barnes, Ta, Becker, Dm, Becker, Lc, Berger, K, Bis, Jc, Boekholdt, Sm, Boerwinkle, E, Braund, Ps, Brown, Mj, Burnett, Ms, Buysschaert, I, Cardiogenics, Carlquist, Jf, Chen, L, Cichon, S, Codd, V, Davies, Rw, Dedoussis, G, Dehghan, A, Demissie, S, Devaney, Jm, Diemert, P, Do, R, Doering, A, Eifert, S, Mokhtari, Ne, Ellis, Sg, Elosua, R, Engert, Jc, Epstein, Se, de Faire, U, Fischer, M, Folsom, Ar, Freyer, J, Gigante, B, Girelli, Domenico, Gretarsdottir, S, Gudnason, V, Gulcher, Jr, Halperin, E, Hammond, N, Hazen, Sl, Hofman, A, Horne, Bd, Illig, T, Iribarren, C, Jones, Gt, Jukema, Jw, Kaiser, Ma, Kaplan, Lm, Kastelein, Jj, Khaw, Kt, Knowles, Jw, Kolovou, G, Kong, A, Laaksonen, R, Lambrechts, D, Leander, K, Lettre, G, Li, M, Lieb, W, Loley, C, Lotery, Aj, Mannucci, Pm, Maouche, S, Martinelli, Nicola, Mckeown, Pp, Meisinger, C, Meitinger, T, Melander, O, Merlini, Pa, Mooser, V, Morgan, T, Mühleisen, Tw, Muhlestein, Jb, Münzel, T, Musunuru, K, Nahrstaedt, J, Nelson, Cp, Nöthen, Mm, Olivieri, Oliviero, Patel, Rs, Patterson, Cc, Peters, A, Peyvandi, F, Qu, L, Quyyumi, Aa, Rader, Dj, Rallidis, Ls, Rice, C, Rosendaal, Fr, Rubin, D, Salomaa, V, Sampietro, Ml, Sandhu, Ms, Schadt, E, Schäfer, A, Schillert, A, Schreiber, S, Schrezenmeir, J, Schwartz, Sm, Siscovick, Ds, Sivananthan, M, Sivapalaratnam, S, Smith, A, Smith, Tb, Snoep, Jd, Soranzo, N, Spertus, Ja, Stark, K, Stirrups, K, Stoll, M, Tang, Wh, Tennstedt, S, Thorgeirsson, G, Thorleifsson, G, Tomaszewski, M, Uitterlinden, Ag, van Rij AM, Voight, Bf, Wareham, Nj, Wells, Ga, Wichmann, He, Wild, Ps, Willenborg, C, Witteman, Jc, Wright, Bj, Ye, S, Zeller, T, Ziegler, A, Cambien, F, Goodall, Ah, Cupples, La, Quertermous, T, März, W, Hengstenberg, C, Blankenberg, S, Ouwehand, Wh, Hall, As, Deloukas, P, Thompson, Jr, Stefansson, K, Roberts, R, Thorsteinsdottir, U, O'Donnell, Cj, Mcpherson, R, Erdmann, J, the CARDIoGRAM Consortium, Samani, N. J., Epidemiology, Internal Medicine, ACS - Amsterdam Cardiovascular Sciences, Cardiology, and Vascular Medicine

Subjects
Adult, Male, Multifunction cardiogram, Locus (genetics), Single-nucleotide polymorphism, Genome-wide association study, Coronary Artery Disease, Biology, Polymorphism, Single Nucleotide, Genetic determinism, artery disease, Article, Coronary artery disease, Gene Frequency, SDG 3 - Good Health and Well-being, Risk Factors, Genetics, medicine, Humans, Genetic Predisposition to Disease, cardiovascular diseases, Allele, Genotyping, Allele frequency, coronary, Alleles, Genetics (clinical), Aged, Genetic association, business.industry, Case-control study, Middle Aged, medicine.disease, coronary artery disease, Large-scale association analysis, Case-Control Studies, Female, Cardiology and Cardiovascular Medicine, business, Genome-Wide Association Study
Abstract

1. The CARDIoGRAM Consortium. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nature Genetics. 2011;43:333–338. ### Study Hypothesis Recently, genome-wide association studies (GWAS) have identified several common variants that are associated with risk of coronary artery disease (CAD) and myocardial infarction (MI). The authors state that the current loci discovered in CAD and MI GWAS explain only a small fraction of the heritability of this complex disease. The authors hypothesized that a larger study would provide more power to discover common variants with modest effect sizes. Therefore, they formed the Coronary ARtery DIsease Genome-wide Replication And Meta-analysis (CARDIoGRAM) consortium, which consisted of data from 14 GWAS of CAD and MI.1 ### How Was the Hypothesis Tested? The authors performed a meta-analysis of 14 GWAS of CAD comprising 22 233 cases and 64 762 control subjects, all of European ancestry. CAD was defined angiographically in a subset (n=7364) and by history in the entire sample. Presence of MI ranged from 48.1% to 100% of each cohort. After the meta-analysis, they genotyped the lead single-nucleotide polymorphisms (SNPs) within the most promising (defined a priori as P 90% power to detect effect sizes observed in the GWAS meta-analysis. Finally, to understand potential mechanisms and intermediate pathways by which novel loci may mediate risk, the authors interrogated 3 genome-wide studies that also assessed gene expression in multiple tissues, using human cell lines, a genome-wide map of allelic expression imbalance, and other human disease traits. ### Principal Findings The analysis of approximately 135 000 individuals more than doubled the number of loci with CAD association, yielding 13 previously unidentified loci and confirming at …

Published
2011

40. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

Author

Surendran, P., Drenos, F., Young, R., Warren, H., Cook, J.P., Manning, A.K., Grarup, N., Sim, X., Barnes, D.R., Witkowska, K., Staley, J.R., Tragante, V., Tukiainen, T., Yaghootkar, H., Masca, N., Freitag, D.F., Ferreira, T., Giannakopoulou, O., Tinker, A., Harakalova, M., Mihailov, E., Liu, C., Kraja, A.T., Nielsen, S.F., Rasheed, A., Samue, M., Zhao, W., Bonnycastle, L.L., Jackson, A.U., Narisu, N., Swift, A.J., Southam, L., Marten, J., Huyghe, J.R., Stancakova, A., Fava, C., Ohlsson, T., Matchan, A., Stirrups, K.E., Bork-Jensen, J., Gjesing, A.P., Kontto, J., Perola, M., Shaw-Hawkins, S., Havulinna, A.S., Zhang, H., Donnelly, L.A., Groves, C.J., Rayner, N.W., Neville, M.J., Robertson, N.R., Yiorkas, A.M., Herzig, K.H., Kajantie, E., Zhang, W., Willems, S.M., Lannfelt, L., Malerba, G., Soranzo, N., Trabetti, E., Verweij, N., Evangelou, E., Moayyeri, A., Vergnaud, A.C., Nelson, C.P., Poveda, A., Varga, T.V., Caslake, M., Craen, A.J.M. de, Trompet, S., Luan, J., Scott, R.A., Harris, S.E., Liewald, D.C.M., Marioni, R., Menni, C., Farmaki, A.E., Hallmans, G., Renstrom, F., Huffman, J.E., Hassinen, M., Burgess, S., Vasan, R.S., Felix, J.F., Uria-Nickelsen, M., Malarstign, A., Reilly, D.F., Hoek, M., Vogt, T.F., Lin, H.H., Lieb, W., Traylor, M., Markus, H.S., Highland, H.M., Justice, A.E., Marouli, E., Lindstrom, J., Uusitupa, M., Komulainen, P., Lakka, T.A., Rauramaa, R., Polasek, O., Rudan, I., Rolandsson, O., Franks, P.W., Dedoussis, G., Spector, T.D., Jousilahti, P., Mannisto, S., Deary, I.J., Starr, J.M., Langenberg, C., Wareham, N.J., Brown, M.J., Dominiczak, A.F., Connell, J.M., Jukema, J.W., Sattar, N., Ford, I., Packard, C.J., Esko, T., Magi, R., Metspalu, A., Boer, R.A. de, Meer, P. van der, Harst, P. van der, Gambaro, G., Ingelsson, E., Lind, L., Bakker, P.I.W. de, Numans, M.E., Brandslund, I., Christensen, C., Petersen, E.R.B., Korpi-Hyovalti, E., Oksa, H., Chambers, J.C., Kooner, J.S., Blakemore, A.I.F., Franks, S., Jarvelin, M.R., Husemoen, L.L., Linneberg, A., Skaaby, T., Thuesen, B., Karpe, F., Tuomilehto, J., Doney, A.S.F., Morris, A.D., Palmer, C.N.A., Holmen, O.L., Hveem, K., Willer, C.J., Tuomi, T., Groop, L., Karajamaki, A., Palotie, A., Ripatti, S., Salomaa, V., Alam, D.S., Majmnder, A.A.S., Angelantonio, E. di, Chowdhury, R., McCarthy, M.I., Poulter, N., Stanton, A.V., Sever, P., Amouyel, P., Arveiler, D., Blankenberg, S., Ferrieres, J., Kee, F., Kuulasmaa, K., Muller-Nurasyid, M., Veronesi, G., Virtamo, J., Deloukas, P., Elliott, P., Zeggini, E., Kathiresan, S., Melander, O., Kuusisto, J., Laakso, M., Padmanabhan, S., Porteous, D.J., Hayward, C., Scotland, G., Collins, F.S., Mohlke, K.L., Hansen, T., Pedersen, O., Boehnke, M., Stringham, H.M., Frossard, P., Newton-Cheh, C., Tobin, M.D., Nordestgaard, B.G., Caulfield, M.J., Mahajan, A., Morris, A.P., Tomaszewski, M., Samani, N.J., Saleheen, D., Asselbergs, F.W., Lindgren, C.M., Danesh, J., Wain, L.V., Butterworth, A.S., Howson, J.M.M., Munroe, P.B., CHARGE Heart Failure Consortiumm, EchoGen Consortiumm, Metastroke Consortiumm, Giant Consortiumm, EPIC-InterAct Consortium, Lifelines Cohort Study, Wellcome Trust Case Control Consor, Understanding Soc Sci Grp, EPIC-CVD Consortium, CHARGE Exome Chip Blood Pressure C, T2D-GENES Consortium, GoT2DGenes Consortium, ExomeBP Consortium, CHD Exome Consortium, Erasmus MC other, Epidemiology, Internal Medicine, Cardiovascular Centre (CVC), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Surendran, Praveen [0000-0002-4911-6077], Barnes, Daniel [0000-0002-3781-7570], Marten, Jonathan [0000-0001-6916-2014], Johnson, Kathleen [0000-0002-6823-3252], Soranzo, Nicole [0000-0003-1095-3852], Luan, Jian'an [0000-0003-3137-6337], Burgess, Stephen [0000-0001-5365-8760], Traylor, Matthew [0000-0001-6624-8621], Markus, Hugh [0000-0002-9794-5996], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Di Angelantonio, Emanuele [0000-0001-8776-6719], Chowdhury, Rajiv [0000-0003-4881-5690], Danesh, John [0000-0003-1158-6791], Butterworth, Adam [0000-0002-6915-9015], Howson, Joanna [0000-0001-7618-0050], Apollo - University of Cambridge Repository, British Heart Foundation, Home Office, Medical Research Council (MRC), Wellcome Trust, National Institute for Health Research, and Action on Hearing Loss

Subjects
0301 basic medicine, EchoGen Consortium, Population genetics, LOCI, Genome-wide association study, Blood Pressure, 030204 cardiovascular system & hematology, Bioinformatics, Genome-wide association studies, 0302 clinical medicine, Settore MED/14 - NEFROLOGIA, Missense mutation, GENE-CENTRIC ARRAY, GoT2DGenes Consortium, AGING RESEARCH, Genetics, education.field_of_study, CHD Exome+ Consortium, CHARGE-Heart Failure Consortium, 11 Medical And Health Sciences, 3. Good health, CARDIOVASCULAR-DISEASE, Hypertension, Medical genetics, HEART, Wellcome Trust Case Control Consortium, EPIC-InterAct Consortium, ExomeBP Consortium, CHARGE, Understanding Society Scientific Group, medicine.medical_specialty, Genotype, Population, Biology, CHARGE+ Exome Chip Blood Pressure Consortium, EPIC-CVD Consortium, Article, 03 medical and health sciences, Lifelines Cohort Study, genome-wide association studies, hypertension, population genetics, Genetic variation, GIANT Consortium, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Allele, GENOME-WIDE ASSOCIATION, education, PLASMA-LEVELS, IDENTIFICATION, Genetic Variation, 06 Biological Sciences, medicine.disease, METASTROKE Consortium, T2D-GENES Consortium, 030104 developmental biology, Blood pressure, Pathophysiology of hypertension, RISK-FACTORS, Developmental Biology, Genome-Wide Association Study, blood pressure, gene
Abstract

High blood pressure is a major risk factor for cardiovascular disease and premature death. However, there is limited knowledge on specific causal genes and pathways. To better understand the genetics of blood pressure, we genotyped 242,296 rare, low-frequency and common genetic variants in up to 192,763 individuals and used ~155,063 samples for independent replication. We identified 30 new blood pressure– or hypertension-associated genetic regions in the general population, including 3 rare missense variants in RBM47, COL21A1 and RRAS with larger effects (>1.5 mm Hg/allele) than common variants. Multiple rare nonsense and missense variant associations were found in A2ML1, and a low-frequency nonsense variant in ENPEP was identified. Our data extend the spectrum of allelic variation underlying blood pressure traits and hypertension, provide new insights into the pathophysiology of hypertension and indicate new targets for clinical intervention. N.P. has received financial support from several pharmaceutical companies that manufacture either blood pressure -lowering or lipid-lowering agents, or both, and consultancy fees. S.K. has received research grants from Merck, Bayer and Aegerion, is on the SAB of Catabasis, Regeneron Genetics Center, Merck and Celera, has equity in San Therapeutics and Catabasis, and performs consulting for Novartis, Aegerion, Bristol Myers Squibb, Sanofi, AstraZeneca and Alnylam. P. Sever has received research awards from Pfizer. A. Malarstig and M.U.-N. are full-time employees of Pfizer. D.F.R. and M. Hoek are full-time employees of Merck. M.J.C. is Chief Scientist for Genomics England, a UK government company. The authors declare no other competing financial interests.

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41. Genome-wide analysis of 53,400 people with irritable bowel syndrome highlights shared genetic pathways with mood and anxiety disorders

Author

Eijsbouts, Chris, Zheng, Tenghao, Kennedy, Nicholas A., Bonfiglio, Ferdinando, Anderson, Carl A., Moutsianas, Loukas, Holliday, Joanne, Shi, Jingchunzi, Shringarpure, Suyash, Voda, Alexandru-Ioan, Farrugia, Gianrico, Franke, Andre, H��benthal, Matthias, Abecasis, Gon��alo, Zawistowski, Matthew, Skogholt, Anne Heidi, Ness-Jensen, Eivind, Hveem, Kristian, Esko, T��nu, Teder-Laving, Maris, Zhernakova, Alexandra, Camilleri, Michael, Boeckxstaens, Guy, Whorwell, Peter J., Spiller, Robin, McVean, Gil, D���Amato, Mauro, Jostins, Luke, Parkes, Miles, Agee, Michelle, Aslibekyan, Stella, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Clark, Sarah K., Elson, Sarah L., Fletez-Brant, Kipper, Fontanillas, Pierre, Furlotte, Nicholas A., Gandhi, Pooja M., Heilbron, Karl, Hicks, Barry, Hinds, David A., Huber, Karen E., Jewett, Ethan M., Jiang, Yunxuan, Kleinman, Aaron, Lin, Keng-Han, Litterman, Nadia K., Luff, Marie K., McCreight, Jey C., McIntyre, Matthew H., McManus, Kimberly F., Mountain, Joanna L., Mozaffari, Sahar V., Nandakumar, Priyanka, Noblin, Elizabeth S., Northover, Carrie A. M., O���Connell, Jared, Petrakovitz, Aaron A., Pitts, Steven J., Poznik, G. David, Sathirapongsasuti, J. Fah, Shastri, Anjali J., Shelton, Janie F., Tian, Chao, Tung, Joyce Y., Tunney, Robert J., Vacic, Vladimir, Wang, Xin, Zare, Amir S., Kashyap, Purna, Chang, Lin, Mayer, Emeran, Heitkemper, Margaret, Sayuk, Gregory S., Ringel-Kulka, Tamar, Ringel, Yehuda, Chey, William D., Eswaran, Shanti, Merchant, Juanita L., Shulman, Robert J., Bujanda, Luis, Garcia-Etxebarria, Koldo, Dlugosz, Aldona, Lindberg, Greger, Schmidt, Peter T., Karling, Pontus, Ohlsson, Bodil, Walter, Susanna, Faresj��, ��shild O., Simren, Magnus, Halfvarson, Jonas, Portincasa, Piero, Barbara, Giovanni, Usai-Satta, Paolo, Neri, Matteo, Nardone, Gerardo, Cuomo, Rosario, Galeazzi, Francesca, Bellini, Massimo, Latiano, Anna, Houghton, Lesley, Jonkers, Daisy, Kurilshikov, Alexander, Weersma, Rinse K., Netea, Mihai, Tesarz, Jonas, Gauss, Annika, Goebel-Stengel, Miriam, Andresen, Viola, Frieling, Thomas, Pehl, Christian, Schaefert, Rainer, Niesler, Beate, Lieb, Wolfgang, Hanevik, Kurt, Langeland, Nina, Wensaas, Knut-Arne, Litleskare, Sverre, Gabrielsen, Maiken E., Thomas, Laurent, Thijs, Vincent, Lemmens, Robin, Van Oudenhove, Lukas, Wouters, Mira, Eijsbouts C., Zheng T., Kennedy N.A., Bonfiglio F., Anderson C.A., Moutsianas L., Holliday J., Shi J., Shringarpure S., Agee M., Aslibekyan S., Auton A., Bell R.K., Bryc K., Clark S.K., Elson S.L., Fletez-Brant K., Fontanillas P., Furlotte N.A., Gandhi P.M., Heilbron K., Hicks B., Hinds D.A., Huber K.E., Jewett E.M., Jiang Y., Kleinman A., Lin K.-H., Litterman N.K., Luff M.K., McCreight J.C., McIntyre M.H., McManus K.F., Mountain J.L., Mozaffari S.V., Nandakumar P., Noblin E.S., Northover C.A.M., O'Connell J., Petrakovitz A.A., Pitts S.J., Poznik G.D., Sathirapongsasuti J.F., Shastri A.J., Shelton J.F., Tian C., Tung J.Y., Tunney R.J., Vacic V., Wang X., Zare A.S., Voda A.-I., Kashyap P., Chang L., Mayer E., Heitkemper M., Sayuk G.S., Ringel-Kulka T., Ringel Y., Chey W.D., Eswaran S., Merchant J.L., Shulman R.J., Bujanda L., Garcia-Etxebarria K., Dlugosz A., Lindberg G., Schmidt P.T., Karling P., Ohlsson B., Walter S., Faresjo A.O., Simren M., Halfvarson J., Portincasa P., Barbara G., Usai-Satta P., Neri M., Nardone G., Cuomo R., Galeazzi F., Bellini M., Latiano A., Houghton L., Jonkers D., Kurilshikov A., Weersma R.K., Netea M., Tesarz J., Gauss A., Goebel-Stengel M., Andresen V., Frieling T., Pehl C., Schaefert R., Niesler B., Lieb W., Hanevik K., Langeland N., Wensaas K.-A., Litleskare S., Gabrielsen M.E., Thomas L., Thijs V., Lemmens R., Van Oudenhove L., Wouters M., Farrugia G., Franke A., Hubenthal M., Abecasis G., Zawistowski M., Skogholt A.H., Ness-Jensen E., Hveem K., Esko T., Teder-Laving M., Zhernakova A., Camilleri M., Boeckxstaens G., Whorwell P.J., Spiller R., McVean G., D'Amato M., Jostins L., Parkes M., Eijsbouts, Chris [0000-0001-5179-0653], Anderson, Carl A. [0000-0003-1719-7009], Moutsianas, Loukas [0000-0001-5453-345X], Holliday, Joanne [0000-0003-4568-7320], Shringarpure, Suyash [0000-0001-6464-2668], Voda, Alexandru-Ioan [0000-0003-2974-6992], Farrugia, Gianrico [0000-0003-3473-5235], Hübenthal, Matthias [0000-0002-5956-3006], Abecasis, Gonçalo [0000-0003-1509-1825], Zawistowski, Matthew [0000-0002-3005-083X], Ness-Jensen, Eivind [0000-0001-6005-0729], Teder-Laving, Maris [0000-0002-5872-1850], Camilleri, Michael [0000-0001-6472-7514], Whorwell, Peter J. [0000-0002-5220-8474], Spiller, Robin [0000-0001-6371-4500], McVean, Gil [0000-0002-5012-4162], D’Amato, Mauro [0000-0003-2743-5197], Jostins, Luke [0000-0002-2475-3969], Parkes, Miles [0000-0002-6467-0631], Apollo - University of Cambridge Repository, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Eijsbouts, C., Zheng, T., Kennedy, N. A., Bonfiglio, F., Anderson, C. A., Moutsianas, L., Holliday, J., Shi, J., Shringarpure, S., Agee, M., Aslibekyan, S., Auton, A., Bell, R. K., Bryc, K., Clark, S. K., Elson, S. L., Fletez-Brant, K., Fontanillas, P., Furlotte, N. A., Gandhi, P. M., Heilbron, K., Hicks, B., Hinds, D. A., Huber, K. E., Jewett, E. M., Jiang, Y., Kleinman, A., Lin, K. -H., Litterman, N. K., Luff, M. K., Mccreight, J. C., Mcintyre, M. H., Mcmanus, K. F., Mountain, J. L., Mozaffari, S. V., Nandakumar, P., Noblin, E. S., Northover, C. A. M., O'Connell, J., Petrakovitz, A. A., Pitts, S. J., Poznik, G. D., Sathirapongsasuti, J. F., Shastri, A. J., Shelton, J. F., Tian, C., Tung, J. Y., Tunney, R. J., Vacic, V., Wang, X., Zare, A. S., Voda, A. -I., Kashyap, P., Chang, L., Mayer, E., Heitkemper, M., Sayuk, G. S., Ringel-Kulka, T., Ringel, Y., Chey, W. D., Eswaran, S., Merchant, J. L., Shulman, R. J., Bujanda, L., Garcia-Etxebarria, K., Dlugosz, A., Lindberg, G., Schmidt, P. T., Karling, P., Ohlsson, B., Walter, S., Faresjo, A. O., Simren, M., Halfvarson, J., Portincasa, P., Barbara, G., Usai-Satta, P., Neri, M., Nardone, G., Cuomo, R., Galeazzi, F., Bellini, M., Latiano, A., Houghton, L., Jonkers, D., Kurilshikov, A., Weersma, R. K., Netea, M., Tesarz, J., Gauss, A., Goebel-Stengel, M., Andresen, V., Frieling, T., Pehl, C., Schaefert, R., Niesler, B., Lieb, W., Hanevik, K., Langeland, N., Wensaas, K. -A., Litleskare, S., Gabrielsen, M. E., Thomas, L., Thijs, V., Lemmens, R., Van Oudenhove, L., Wouters, M., Farrugia, G., Franke, A., Hubenthal, M., Abecasis, G., Zawistowski, M., Skogholt, A. H., Ness-Jensen, E., Hveem, K., Esko, T., Teder-Laving, M., Zhernakova, A., Camilleri, M., Boeckxstaens, G., Whorwell, P. J., Spiller, R., Mcvean, G., D'Amato, M., Jostins, L., and Parkes, M.

Subjects
Male, Molecular Chaperone, Mood Disorder, 631/208/205/2138, Biology, 692/699/1503/1502/2071, Bioinformatics, Polymorphism, Single Nucleotide, Genetic pathways, 38/43, Irritable Bowel Syndrome, Cytoskeletal Protein, Genetics, medicine, Genetic predisposition, Aged, Anxiety Disorders, CD56 Antigen, Cell Adhesion Molecules, Cytoskeletal Proteins, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Guanine Nucleotide Exchange Factors, Homeodomain Proteins, Humans, Middle Aged, Molecular Chaperones, Mood Disorders, United Kingdom, Polymorphism, 692/699/476, Irritable bowel syndrome, Depression (differential diagnoses), article, Homeodomain Protein, Single Nucleotide, Guanine Nucleotide Exchange Factor, medicine.disease, Neuroticism, Biobank, Mood, Cell Adhesion Molecule, Anxiety, medicine.symptom, Anxiety Disorder, Human
Abstract

Funder: Kennedy Trust Rheumatology Research Prize Studentship, Funder: DFG Cluster of Excellence ���Precision Medicine in Chronic In-flammation��� (PMI; ID: EXC2167), Funder: EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: ���Ideas��� Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)); doi: https://doi.org/10.13039/100011199; Grant(s): 715772, Funder: NWO-VIDI grant 016.178.056, the Netherlands Heart Foundation CVON grant 2018-27, and NWO Gravitation grant ExposomeNL, Funder: Li Ka Shing Foundation (Li Ka Shing Foundation Limited); doi: https://doi.org/10.13039/100007421, Irritable bowel syndrome (IBS) results from disordered brain���gut interactions. Identifying susceptibility genes could highlight the underlying pathophysiological mechanisms. We designed a digestive health questionnaire for UK Biobank and combined identified cases with IBS with independent cohorts. We conducted a genome-wide association study with 53,400 cases and 433,201 controls and replicated significant associations in a 23andMe panel (205,252 cases and 1,384,055 controls). Our study identified and confirmed six genetic susceptibility loci for IBS. Implicated genes included NCAM1, CADM2, PHF2/FAM120A, DOCK9, CKAP2/TPTE2P3 and BAG6. The first four are associated with mood and anxiety disorders, expressed in the nervous system, or both. Mirroring this, we also found strong genome-wide correlation between the risk of IBS and anxiety, neuroticism and depression (rg > 0.5). Additional analyses suggested this arises due to shared pathogenic pathways rather than, for example, anxiety causing abdominal symptoms. Implicated mechanisms require further exploration to help understand the altered brain���gut interactions underlying IBS.

Published
2021
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42. Genetic studies of body mass index yield new insights for obesity biology

Author

Locke, Adam E, Kahali, Bratati, Croteau-Chonka, Damien C, Doney, Alex S F, He, Bing, Heikkilä, Outi, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Eklund, Niina, Saraheimo, Markku, Sarti, Cinzia, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Estrada, Karol, Wadén, Johan, Gill, Geoffrey V, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Eury, Elodie, Ladenvall, Claes, Alhenc-Gelas, François, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Folkersen, Lasse, Möllsten, Anna, Cimponeriu, Dan, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Fraser, Ross M, Colhoun, Helen M, Panduru, Nicolae Mircea, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Garcia, Melissa E, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Geller, Frank, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Giedraitis, Vilmantas, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Y, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Gigante, Bruna, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Esko, Tonu, Go, Alan S, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Golay, Alain, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Goodall, Alison H, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Gordon, Scott D, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Gorski, Mathias, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doring, Angela, Elliott, Paul, Grabe, Hans-Jörgen, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John J P, Khaw, Kay-Tee, Kim, Eric, Grammer, Tanja B, Klopp, Norman, Komulainen, Pirjo, Kumari, Meena, Langenberg, Claudia, Lehtimaki, Terho, Lin, Shih-Yi, Lindstrom, Jaana, Loos, Ruth J F, Mach, François, McArdle, Wendy L, Gräßler, Jürgen, Meisinger, Christa, Mitchell, Braxton D, Muller, Gabrielle, Nagaraja, Ramaiah, Narisu, Narisu, Nieminen, Tuomo V M, Nsubuga, Rebecca N, Olafsson, Isleifur, Ong, Ken K, Palotie, Aarno, Grönberg, Henrik, Papamarkou, Theodore, Pomilla, Cristina, Pouta, Anneli, Rader, Daniel J, Reilly, Muredach P, Ridker, Paul M, Rivadeneira, Fernando, Rudan, Igor, Ruokonen, Aimo, Samani, Nilesh, Fall, Tove, Scharnagl, Hubert, Seeley, Janet, Silander, Kaisa, Stančáková, Alena, Stirrups, Kathleen, Swift, Amy J, Tiret, Laurence, Uitterlinden, Andre G, van Pelt, L Joost, Vedantam, Sailaja, Gusto, Gaëlle, Wainwright, Nicholas, Wijmenga, Cisca, Wild, Sarah H, Willemsen, Gonneke, Wilsgaard, Tom, Wilson, James F, Young, Elizabeth H, Zhao, Jing Hua, Adair, Linda S, Arveiler, Dominique, Haessler, Jeffrey, Assimes, Themistocles L, Bandinelli, Stefania, Bennett, Franklyn, Bochud, Murielle, Boehm, Bernhard O, Boomsma, Dorret I, Borecki, Ingrid B, Bornstein, Stefan R, Bovet, Pascal, Burnier, Michel, Hall, Per, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chen, Yii-Der Ida, Collins, Francis S, Cooper, Richard S, Danesh, John, Dedoussis, George, de Faire, Ulf, Feranil, Alan B, Haller, Toomas, Ferrieres, Jean, Ferrucci, Luigi, Freimer, Nelson B, Gieger, Christian, Groop, Leif C, Gudnason, Vilmundur, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Hingorani, Aroon, Hallmans, Goran, Hofman, Albert, Hovingh, G Kees, Hsiung, Chao Agnes, Humphries, Steve E, Hunt, Steven C, Hveem, Kristian, Iribarren, Carlos, Jarvelin, Marjo-Riitta, Jula, Antti, Hartman, Catharina A, Kähönen, Mika, Kaprio, Jaakko, Kesäniemi, Antero, Kivimaki, Mika, Kooner, Jaspal S, Koudstaal, Peter J, Krauss, Ronald M, Kuh, Diana, Kuusisto, Johanna, Kyvik, Kirsten O, Hassinen, Maija, Laakso, Markku, Lakka, Timo A, Lind, Lars, Lindgren, Cecilia M, Martin, Nicholas G, März, Winfried, McCarthy, Mark I, McKenzie, Colin A, Meneton, Pierre, Metspalu, Andres, Moilanen, Leena, Morris, Andrew D, Munroe, Patricia B, Njølstad, Inger, Pedersen, Nancy L, Power, Chris, Pramstaller, Peter P, Price, Jackie F, Psaty, Bruce M, Quertermous, Thomas, Heard-Costa, Nancy L, Rauramaa, Rainer, Saleheen, Danish, Salomaa, Veikko, Sanghera, Dharambir K, Saramies, Jouko, Schwarz, Peter E H, Sheu, Wayne H-H, Shuldiner, Alan R, Siegbahn, Agneta, Spector, Tim D, Helmer, Quinta, Stefansson, Kari, Strachan, David P, Tayo, Bamidele O, Tremoli, Elena, Uusitupa, Matti, van Duijn, Cornelia M, Vollenweider, Peter, Wallentin, Lars, Wareham, Nicholas J, Hengstenberg, Christian, Whitfield, John B, Wolffenbuttel, Bruce H R, Ordovas, Jose M, Boerwinkle, Eric, Palmer, Colin N A, Thorsteinsdottir, Unnur, Chasman, Daniel I, Rotter, Jerome I, Franks, Paul W, Ripatti, Samuli, Holmen, Oddgeir, Cupples, L Adrienne, Sandhu, Manjinder S, Rich, Stephen S, Boehnke, Michael, Deloukas, Panos, Kathiresan, Sekar, Mohlke, Karen L, Ingelsson, Erik, Abecasis, Gonçalo R, Abecasis, Gonçalo, Hottenga, Jouke-Jan, Caulfield, Mark, Chasman, Dan, Ehret, Georg, Johnson, Andrew, Johnson, Louise, Larson, Martin, Levy, Daniel, James, Alan L, Munroe, Patricia, Newton-Cheh, Christopher, O'Reilly, Paul, Palmas, Walter, Psaty, Bruce, Rice, Kenneth, Smith, Albert, Snider, Harold, Tobin, Martin, Van Duijn, Cornelia, Jeff, Janina M, Verwoert, Germaine, Rice, Kenneth M, Johnson, Andrew D, Smith, Albert V, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, O'Reilly, Paul F, Amin, Najaf, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Jolley, Jennifer, Aulchenko, Yurii, Heath, Simon, Sõber, Siim, Parsa, Afshin, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Juliusdottir, Thorhildur, Peden, John F, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Kinnunen, Leena, Fox, Ervin R, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Koenig, Wolfgang, Whincup, Peter H, Liu, Yongmei, Shi, Gang, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Lehtimäki, Terho, Matullo, Giuseppe, Koskenvuo, Markku, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl G P, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Kratzer, Wolfgang, Braund, Peter S, Kuznetsova, Tatiana, Uiterwaal, Cuno S P M, Adeyemo, Adebowale, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, Laitinen, Jaana, Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Lamina, Claudia, Najjar, Samer, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian N M, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Leander, Karin, Clarke, Robert, Collins, Rory, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J. H., Bis, Joshua C, Viikari, Jorma, Lee, Nanette R, Chen, Ming-Huei, Olden, Matthias, Pattaro, Cristian, Bolton, Judith A Hoffman, Köttgen, Anna, Bergmann, Sven, Mooser, Vincent, Chaturvedi, Nish, Lichtner, Peter, Frayling, Timothy M, Islam, Muhammad, Jafar, Tazeen H, Erdmann, Jeanette, Kulkarni, Smita R, Grässler, Jürgen, Howard, Philip, Guarrera, Simonetta, Ricceri, Fulvio, Emilsson, Valur, Plump, Andrew, Weder, Alan B, Lindström, Jaana, Sun, Yan V, Bergman, Richard N, Scott, Laura J, Stringham, Heather M, Peltonen, Leena, Vartiainen, Erkki, Brand, Stefan-Martin, Kutalik, Zoltán, Lo, Ken Sin, Staessen, Jan A, Wang, Thomas J, Burton, Paul R, Artigas, Maria Soler, Dong, Yanbin, Snieder, Harold, Wang, Xiaoling, Zhu, Haidong, Lohman, Kurt K, Rudock, Megan E, Lobbens, Stéphane, Heckbert, Susan R, Smith, Nicholas L, Wiggins, Kerri L, Doumatey, Ayo, Shriner, Daniel, Veldre, Gudrun, Viigimaa, Margus, Kinra, Sanjay, Prabhakaran, Dorairajan, Tripathy, Vikal, Lorbeer, Roberto, Langefeld, Carl D, Rosengren, Annika, Thelle, Dag S, Corsi, Anna Maria, Singleton, Andrew, Forrester, Terrence, Hilton, Gina, Salako, Tunde, Iwai, Naoharu, Lu, Yingchang, Kita, Yoshikuni, Ogihara, Toshio, Ohkubo, Takayoshi, Okamura, Tomonori, Ueshima, Hirotsugu, Umemura, Satoshi, Eyheramendy, Susana, Meitinger, Thomas, Wichmann, H-Erich, Cho, Yoon Shin, Kim, Hyung-Lae, Lee, Jong-Young, Scott, James, Sehmi, Joban S, Hedblad, Bo, Nilsson, Peter, Smith, George Davey, Raffel, Leslie J, Yao, Jie, O'Donnell, Chris, Schwartz, Stephen M, Ikram, M Arfan, Longstreth, W. 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EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Eriksson, J., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Peacock, M., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., van Meurs JB., Weedon, MN., Wichmann, H., Young, L., Bierut, LJ., Boyd, HA., Econs, MJ., Van T'Hooft, Ferdinand M., Njølstad, Inger, Abecasis, Gonçalo R., Barroso, Inɥ, The MIGEN Consortium, Investigator, Casari, GIORGIO NEVIO, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Landsteiner Laboratory, Clinical Haematology, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life 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Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes

Subjects
Male, LOCI, Genome-wide association study, Continental Population Groups/genetics, VARIANTS, Body Mass Index, Insulin Secretion, Insulin, Age Factor, Adiposity, ddc:616, Adipogenesis, Genetic Predisposition to Disease/genetics, Synapse, 3. Good health, Continental Population Group, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE, ddc:500, Adipogenesis/genetics, Single Nucleotide/genetics, Age Factors, Continental Population Groups, Energy Metabolism, Europe, Female, Genetic Predisposition to Disease, Glutamic Acid, Humans, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Synapses, Genome-Wide Association Study, Multidisciplinary, genetics [Adiposity], Human, Socio-culturale, genetics [Energy Metabolism], ta3111, genetic, body mass index, obesity, SDG 3 - Good Health and Well-being, GLYCEMIC TRAITS, genetics [Continental Population Groups], Genetic variability, Polymorphism, GENOME-WIDE ASSOCIATION, genetics [Adipogenesis], METAANALYSIS, Genetic association, Adipogenesi, genetics [Quantitative Trait Loci], ta1184, metabolism [Glutamic Acid], ta1182, PATHWAYS, metabolism [Synapses], ta3121, medicine.disease, metabolism [Insulin], Adiposity/genetics, Clinical Medicine, Quantitative Trait Loci/genetics, Body mass index, HUMAN HEIGHT, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Synapses/metabolism, Medizin, Obesity/genetics, Bioinformatics, genetic basis, Obesity/metabolism, genetics [Obesity], body mass index (BMI), genetics [Genetic Predisposition to Disease], ethnology [Europe], 2. Zero hunger, Genetics, ARCHITECTURE, Genetics of obesity, Medicine (all), Single Nucleotide, Polymorphism, Single Nucleotide/genetics, Insulin/metabolism/secretion, Glutamic Acid/metabolism, genetics [Polymorphism, Single Nucleotide], EXPRESSION, Insulin/metabolism, PROVIDES INSIGHTS, genetics [Racial Groups], Biology, Obesity/genetics/metabolism, Europe/ethnology, metabolism [Obesity], Mendelian randomization, medicine, Energy Metabolism/genetics, body mass, genetic analysis, obesity, Klinisk medicin
Abstract

Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Published
2015
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43. The power of genetic diversity in genome-wide association studies of lipids

Author

Graham, Sarah E, Clarke, Shoa L, Wu, Kuan-Han H, Kanoni, Stavroula, Zajac, Greg JM, Ramdas, Shweta, Surakka, Ida, Ntalla, Ioanna, Vedantam, Sailaja, Winkler, Thomas W, Locke, Adam E, Marouli, Eirini, Hwang, Mi Yeong, Han, Sohee, Narita, Akira, Choudhury, Ananyo, Bentley, Amy R, Ekoru, Kenneth, Verma, Anurag, Trivedi, Bhavi, Martin, Hilary C, Hunt, Karen A, Hui, Qin, Klarin, Derek, Zhu, Xiang, Thorleifsson, Gudmar, Helgadottir, Anna, Gudbjartsson, Daniel F, Holm, Hilma, Olafsson, Isleifur, Akiyama, Masato, Sakaue, Saori, Terao, Chikashi, Kanai, Masahiro, Zhou, Wei, Brumpton, Ben M, Rasheed, Humaira, Ruotsalainen, Sanni E, Havulinna, Aki S, Veturi, Yogasudha, Feng, QiPing, Rosenthal, Elisabeth A, Lingren, Todd, Pacheco, Jennifer Allen, Pendergrass, Sarah A, Haessler, Jeffrey, Giulianini, Franco, Bradford, Yuki, Miller, Jason E, Campbell, Archie, Lin, Kuang, Millwood, Iona Y, Hindy, George, Rasheed, Asif, Faul, Jessica D, Zhao, Wei, Weir, David R, Turman, Constance, Huang, Hongyan, Graff, Mariaelisa, Mahajan, Anubha, Brown, Michael R, Zhang, Weihua, Yu, Ketian, Schmidt, Ellen M, Pandit, Anita, Gustafsson, Stefan, Yin, Xianyong, Luan, Jian’an, Zhao, Jing-Hua, Matsuda, Fumihiko, Jang, Hye-Mi, Yoon, Kyungheon, Medina-Gomez, Carolina, Pitsillides, Achilleas, Hottenga, Jouke Jan, Willemsen, Gonneke, Wood, Andrew R, Ji, Yingji, Gao, Zishan, Haworth, Simon, Mitchell, Ruth E, Chai, Jin Fang, Aadahl, Mette, Yao, Jie, Manichaikul, Ani, Warren, Helen R, Ramirez, Julia, Bork-Jensen, Jette, Kårhus, Line L, Goel, Anuj, Sabater-Lleal, Maria, Noordam, Raymond, Sidore, Carlo, Fiorillo, Edoardo, McDaid, Aaron F, Marques-Vidal, Pedro, Wielscher, Matthias, Trompet, Stella, Sattar, Naveed, Møllehave, Line T, Thuesen, Betina H, Munz, Matthias, Zeng, Lingyao, Huang, Jianfeng, Yang, Bin, Poveda, Alaitz, Kurbasic, Azra, Lamina, Claudia, Forer, Lukas, Scholz, Markus, Galesloot, Tessel E., Bradfield, Jonathan P., Daw, E Warwick, Zmuda, Joseph M, Mitchell, Jonathan S, Fuchsberger, Christian, Christensen, Henry, Brody, Jennifer A, Feitosa, Mary F, Wojczynski, Mary K, Preuss, Michael, Mangino, Massimo, Christofidou, Paraskevi, Verweij, Niek, Benjamins, Jan W, Engmann, Jorgen, Kember, Rachel L, Slieker, Roderick C, Lo, Ken Sin, Zilhao, Nuno R, Le, Phuong, Kleber, Marcus E, Delgado, Graciela E, Huo, Shaofeng, Ikeda, Daisuke D, Iha, Hiroyuki, Yang, Jian, Liu, Jun, Leonard, Hampton L, Marten, Jonathan, Schmidt, Börge, Arendt, Marina, Smyth, Laura J, Cañadas-Garre, Marisa, Wang, Chaolong, Nakatochi, Masahiro, Wong, Andrew, Hutri-Kähönen, Nina, Sim, Xueling, Xia, Rui, Huerta-Chagoya, Alicia, Fernandez-Lopez, Juan Carlos, Lyssenko, Valeriya, Ahmed, Meraj, Jackson, Anne U, Irvin, Marguerite R, Oldmeadow, Christopher, Kim, Han-Na, Ryu, Seungho, Timmers, Paul RHJ, Arbeeva, Liubov, Dorajoo, Rajkumar, Lange, Leslie A, Chai, Xiaoran, Prasad, Gauri, Lorés-Motta, Laura, Pauper, Marc, Long, Jirong, Li, Xiaohui, Theusch, Elizabeth, Takeuchi, Fumihiko, Spracklen, Cassandra N, Loukola, Anu, Bollepalli, Sailalitha, Warner, Sophie C, Wang, Ya Xing, Wei, Wen B., Nutile, Teresa, Ruggiero, Daniela, Sung, Yun Ju, Hung, Yi-Jen, Chen, Shufeng, Liu, Fangchao, Yang, Jingyun, Kentistou, Katherine A, Gorski, Mathias, Brumat, Marco, Meidtner, Karina, Bielak, Lawrence F, Smith, Jennifer A, Hebbar, Prashantha, Farmaki, Aliki-Eleni, Hofer, Edith, Lin, Maoxuan, Xue, Chao, Zhang, Jifeng, Concas, Maria Pina, Vaccargiu, Simona, van der Most, Peter J, Pitkänen, Niina, Cade, Brian E, Lee, Jiwon, van der Laan, Sander W., Chitrala, Kumaraswamy Naidu, Weiss, Stefan, Zimmermann, Martina E, Lee, Jong Young, Choi, Hyeok Sun, Nethander, Maria, Freitag-Wolf, Sandra, Southam, Lorraine, Rayner, Nigel W, Wang, Carol A, Lin, Shih-Yi, Wang, Jun-Sing, Couture, Christian, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Cuellar-Partida, Gabriel, Vestergaard, Henrik, Hildalgo, Bertha, Giannakopoulou, Olga, Cai, Qiuyin, Obura, Morgan O, van Setten, Jessica, Li, Xiaoyin, Schwander, Karen, Terzikhan, Natalie, Shin, Jae Hun, Jackson, Rebecca D, Reiner, Alexander P, Martin, Lisa Warsinger, Chen, Zhengming, Li, Liming, Highland, Heather M, Young, Kristin L, Kawaguchi, Takahisa, Thiery, Joachim, Bis, Joshua C, Nadkarni, Girish N., Launer, Lenore J, Li, Huaixing, Nalls, Mike A, Raitakari, Olli T, Ichihara, Sahoko, Wild, Sarah H, Nelson, Christopher P, Campbell, Harry, Jäger, Susanne, Nabika, Toru, Al-Mulla, Fahd, Niinikoski, Harri, Braund, Peter S, Kolcic, Ivana, Kovacs, Peter, Giardoglou, Tota, Katsuya, Tomohiro, Bhatti, Konain Fatima, de Kleijn, Dominique, de Borst, Gert J., Kim, Eung Kweon, Adams, Hieab H.H., Ikram, M. 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M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., Locke, A. E., Marouli, E., Hwang, M. Y., Han, S., Narita, A., Choudhury, A., Bentley, A. R., Ekoru, K., Verma, A., Trivedi, B., Martin, H. C., Hunt, K. A., Hui, Q., Klarin, D., Zhu, X., Thorleifsson, G., Helgadottir, A., Gudbjartsson, D. F., Holm, H., Olafsson, I., Akiyama, M., Sakaue, S., Terao, C., Kanai, M., Zhou, W., Brumpton, B. M., Rasheed, H., Ruotsalainen, S. E., Havulinna, A. S., Veturi, Y., Feng, Q. P., Rosenthal, E. A., Lingren, T., Pacheco, J. A., Pendergrass, S. A., Haessler, J., Giulianini, F., Bradford, Y., Miller, J. E., Campbell, A., Lin, K., Millwood, I. Y., Hindy, G., Rasheed, A., Faul, J. D., Zhao, W., Weir, D. R., Turman, C., Huang, H., Graff, M., Mahajan, A., Brown, M. R., Zhang, W., Yu, K., Schmidt, E. M., Pandit, A., Gustafsson, S., Yin, X., Luan, J., Zhao, J. -H., Matsuda, F., Jang, H. -M., Yoon, K., Medina-Gomez, C., Pitsillides, A., Hottenga, J. J., Willemsen, G., Wood, A. 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V., Mannikko, M., Jarvelin, M. -R., Kutalik, Z., Cucca, F., Mook-Kanamori, D. O., van Dijk, K. W., Watkins, H., Strachan, D. P., Grarup, N., Sever, P., Poulter, N., Rotter, J. I., Dantoft, T. M., Karpe, F., Neville, M. J., Timpson, N. J., Cheng, C. -Y., Wong, T. -Y., Khor, C. C., Sabanayagam, C., Peters, A., Gieger, C., Hattersley, A. T., Pedersen, N. L., Magnusson, P. K. E., Boomsma, D. I., de Geus, E. J. C., Cupples, L. A., van Meurs, J. B. J., Ghanbari, M., Gordon-Larsen, P., Huang, W., Kim, Y. J., Tabara, Y., Wareham, N. J., Langenberg, C., Zeggini, E., Kuusisto, J., Laakso, M., Ingelsson, E., Abecasis, G., Chambers, J. C., Kooner, J. S., de Vries, P. S., Morrison, A. C., North, K. E., Daviglus, M., Kraft, P., Martin, N. G., Whitfield, J. B., Abbas, S., Saleheen, D., Walters, R. G., Holmes, M. V., Black, C., Smith, B. H., Justice, A. E., Baras, A., Buring, J. E., Ridker, P. M., Chasman, D. I., Kooperberg, C., Wei, W. -Q., Jarvik, G. P., Namjou, B., Hayes, M. G., Ritchie, M. D., Jousilahti, P., Salomaa, V., Hveem, K., Asvold, B. O., Kubo, M., Kamatani, Y., Okada, Y., Murakami, Y., Thorsteinsdottir, U., Stefansson, K., Ho, Y. -L., Lynch, J. A., Rader, D. J., Tsao, P. S., Chang, K. -M., Cho, K., O'Donnell, C. J., Gaziano, J. M., Wilson, P., Rotimi, C. N., Hazelhurst, S., Ramsay, M., Trembath, R. C., van Heel, D. A., Tamiya, G., Yamamoto, M., Kim, B. -J., Mohlke, K. L., Frayling, T. M., Hirschhorn, J. N., Kathiresan, S., Boehnke, M., Natarajan, P., Peloso, G. M., Brown, C. D., Morris, A. P., Assimes, T. L., Deloukas, P., Sun, Y. V., Willer, C. J., Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, APH - Mental Health, APH - Methodology, AMS - Ageing & Vitality, and AMS - Sports

Subjects
blood lipid level, Multifactorial Inheritance, GWAS, blood lipid levels, cardiovascular disease, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Medizin, LOCI, ANCESTRY, VARIANTS, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Article, Population Groups, SDG 3 - Good Health and Well-being, Humans, Genetic Predisposition to Disease, METAANALYSIS, POLYMORPHISMS, RISK, Multidisciplinary, Cardiovascular Diseases, Genome-Wide Association Study, Cardiovascular Diseases/genetics, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study/methods, Polymorphism, Single Nucleotide/genetics, CHOLESTEROL, Human Genetics, INDIVIDUALS, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], DISCOVERY, LOW-FREQUENCY, Delivery of Health Care
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.

Published
2021
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44. Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants

Author

Myocardial Infarction Genetics, The complete list, Sekar, Kathiresan, Voight, Benjamin F., Shaun, Purcell, Kiran, Musunuru, Diego, Ardissino, Mannucci, Pier M., Sonia, Anand, Engert, James C., Samani, Nilesh J., Heribert, Schunkert, Jeanette, Erdmann, Reilly, Muredach P., Rader, Daniel J., Thomas, Morgan, Spertus, John A., Monika, Stoll, Girelli, Domenico, Mckeown, Pascal P., Patterson, Chris C., Siscovick, David S., O'Donnell, Christopher J., Roberto, Elosua, Leena, Peltonen, Veikko, Salomaa, Schwartz, Stephen M., Olle, Melander, David, Altshuler, Thrombosis Italian Atherosclerosis, Vascular Biology Study, Pier Angelica Merlini, Carlo, Berzuini, Luisa, Bernardinelli, Flora, Peyvandi, Marco, Tubaro, Patrizia, Celli, Maurizio, Ferrario, Raffaela, Fetiveau, Nicola, Marziliano, Giorgio, Casari, Michele, Galli, Ribichini, Flavio Luciano, Marco, Rossi, Francesco, Bernardi, Pietro, Zonzin, Alberto, Piazza, Heart Attack Risk, Jean, Yee, Yechiel, Friedlander, Registre Gironi del, Jaume, Marrugat, Gavin, Lucas, Isaac, Subirana, Joan, Sala, Rafael, Ramos, Massachusetts General Hospital, Meigs, James B., Gordon, Williams, Nathan, David M., Macrae, Calum A., F. I. N., Havulinna, Aki S., Malmo, Diet, Cancer, Study, Goran, Berglund, Stage, 1 data, Hirschhorn, Joel N., Rosanna, Asselta, Stefano, Duga, Marta, Spreafico, Daly, Mark J., Copy number variant, James, Nemesh, Korn, Joshua M., Mccarroll, Steven A., Stage, 1 phenotype, Stage, 1 genome wide, Aarti, Surti, Candace, Guiducci, Lauren, Gianniny, Daniel, Mirel, Melissa, Parkin, Noel, Burtt, Gabriel, Stacey B., Replication, Studies, Thompson, John R., Braund, Peter S., Wright, Benjamin J., Balmforth, Anthony J., Ball, Stephen G., Hall, Alistair S., Wellcome Trust Case, German MI Family, Patrick Linsel Nitschke, Wolfgang, Lieb, Andreas, Ziegler, König, Inke R., Christian, Hengstenberg, Marcus, Fischer, Klaus, Stark, Anika, Grosshennig, Michael, Preuss, Erich Wichmann, H., Stefan, Schreiber, Cardiogenics, Willem, Ouwehand, Panos, Deloukas, Michael, Scholz, Francois, Cambien, C. a. r. d. i. o. g. e. n. i. c. s., P. e. n. n. C. A. T., Mingyao, Li, Zhen, Chen, Robert, Wilensky, William, Matthai, Atif, Qasim, Hakonarson, Hakon H., Joe, Devaney, Mary Susan Burnett, Pichard, Augusto D., Kent, Kenneth M., Lowell, Satler, Lindsay, Joseph M., Ron, Waksman, Epstein, Stephen E., Acute Myocardial Infarction, Thomas, Scheffold, Klaus, Berger, Andreas, Huge, Verona Heart Study, Domenico, Girelli, Martinelli, Nicola, Olivieri, Oliviero, Corrocher, Roberto, Mid America Heart Institute, Irish Family Study, d. e. C. O. D., Hilma, Hólm, Gudmar, Thorleifsson, Unnur, Thorsteinsdottir, Kari, Stefansson, I. N. T., Ron, Do, Changchun, Xie, Gen, M. I., David, Siscovick, Kathiresan, S, Altschuler, D, Anand, S, Ardissino, D, Asselta, R, Ball, Sg, Balmforth, Aj, Berger, K, Berglund, G, Bernardi, F, Bernardinelli, L, Berzuini, C, Braund, P, Burnett, M, Burtt, N, Cambien, F, Casari, GIORGIO NEVIO, Celli, P, Chen, Z, Corrocher, R, Daly, Mj, Deloukas, P, Devaney, J, Do, R, Duga, S, Elosua, R, Engert, Jc, Epstein, Se, Erdmann, J, Ferrario, M, Fetiveau, R, Fischer, M, Friedlander, Y, Gabriel, Sb, Galli, M, Gianniny, L, Girelli, D, Grosshennig, A, Guiducci, C, Hakonarson, Hh, Hall, A, Havulinna, A, Hengstenberg, C, Hirschhorn, Jn, Holm, H, Huge, A, Kent, Km, Konig, Ir, Korn, Jm, Li, M, Lieb, W, Lindsay, Jm, Linsel Nitschke, P, Lucas, G, Macrae, Ca, Mannucci, Pm, Marrugat, J, Martinelli, N, Marziliano, N, Matthai, W, Mccarroll, Sa, Mckeown, Pp, Meigs, Jb, Melander, O, Merlini, Pa, Mirel, D, Morgan, T, Musunuru, K, Nathan, Dm, Nemesh, J, O'Donnell, Cj, Olivieri, O, Ouwehand, W, Parkin, M, Patterson, Cc, Peltonen, L, Peyvandi, F, Piazza, A, Pichard, Ad, Preuss, M, Purcell, S, Qasim, A, Rader, Dj, Ramos, R, Reilly, Mp, Ribichini, F, Rossi, M, Sala, J, Salomaa, V, Samani, Nj, Satler, L, Scheffold, T, Scholz, M, Schreiber, S, Schunkert, H, Schwartz, Sm, Siscovick, D, Spertus, Ja, Spreafico, M, Stark, K, Stefansson, K, Stoll, M, Subirana, I, Surti, A, Thompson, Jr, Thorleifsson, G, Thorsteinsdottir, U, Tubaro, M, Voight, Bf, Waksman, R, Wichmann, He, Wilensky, R, Williams, G, Wright, Bj, Xie, C, Yee, J, Ziegler, A, and Zonzin, P.

Subjects
Adult, Male, copy number variants (CNVs), Gene Dosage, Myocardial Infarction, Locus (genetics), Single-nucleotide polymorphism, Genome-wide association study, 030204 cardiovascular system & hematology, Biology, Bioinformatics, association study, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, myocardial infarction with single, Gene Frequency, Risk Factors, Genetics cardiovascular diseases, genome-wide association, single nucleotide polymorphisms (SNPs), association with early-onset myocardial infarction, Genetics, Humans, Genetic Predisposition to Disease, Copy-number variation, Age of Onset, Gene, Allele frequency, 030304 developmental biology, 0303 health sciences, myocardial infarction, SNPs, Genome-wide association, nucleotide polymorphisms, Middle Aged, Genetic epidemiology, Case-Control Studies, Mutation, Female, Age of onset, Algorithms, Genome-Wide Association Study
Abstract

We conducted a genome-wide association study testing single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) for association with early-onset myocardial infarction in 2,967 cases and 3,075 controls. We carried out replication in an independent sample with an effective sample size of up to 19,492. SNPs at nine loci reached genome-wide significance: three are newly identified (21q22 near MRPS6-SLC5A3-KCNE2, 6p24 in PHACTR1 and 2q33 in WDR12) and six replicated prior observations1, 2, 3, 4 (9p21, 1p13 near CELSR2-PSRC1-SORT1, 10q11 near CXCL12, 1q41 in MIA3, 19p13 near LDLR and 1p32 near PCSK9). We tested 554 common copy number polymorphisms (>1% allele frequency) and none met the pre-specified threshold for replication (P < 10-3). We identified 8,065 rare CNVs but did not detect a greater CNV burden in cases compared to controls, in genes compared to the genome as a whole, or at any individual locus. SNPs at nine loci were reproducibly associated with myocardial infarction, but tests of common and rare CNVs failed to identify additional associations with myocardial infarction risk.

Published
2009

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