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688 results on '"Slagboom, Pe"'

1. Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group

Author

Floyd, JS, Sitlani, CM, Avery, CL, Noordam, R, Li, X, Smith, AV, Gogarten, SM, Li, J, Broer, L, Evans, DS, Trompet, S, Brody, JA, Stewart, JD, Eicher, JD, Seyerle, AA, Roach, J, Lange, LA, Lin, HJ, Kors, JA, Harris, TB, Li-Gao, R, Sattar, N, Cummings, SR, Wiggins, KL, Napier, MD, Stürmer, T, Bis, JC, Kerr, KF, Uitterlinden, AG, Taylor, KD, Stott, DJ, de Mutsert, R, Launer, LJ, Busch, EL, Méndez-Giráldez, R, Sotoodehnia, N, Soliman, EZ, Li, Y, Duan, Q, Rosendaal, FR, Slagboom, PE, Wilhelmsen, KC, Reiner, AP, Chen, Y-DI, Heckbert, SR, Kaplan, RC, Rice, KM, Jukema, JW, Johnson, AD, Liu, Y, Mook-Kanamori, DO, Gudnason, V, Wilson, JG, Rotter, JI, Laurie, CC, Psaty, BM, Whitsel, EA, Cupples, LA, and Stricker, BH

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Cardiovascular, Human Genome, Patient Safety, Heart Disease, Genetics, Prevention, Good Health and Well Being, Aged, Cardiovascular Diseases, Cytochrome P-450 CYP2C9, Diabetes Mellitus, Type 2, Drug-Related Side Effects and Adverse Reactions, Electrocardiography, Ethnicity, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Middle Aged, Pharmacogenetics, Pharmacogenomic Testing, Sulfonylurea Compounds, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Sulfonylureas, a commonly used class of medication used to treat type 2 diabetes, have been associated with an increased risk of cardiovascular disease. Their effects on QT interval duration and related electrocardiographic phenotypes are potential mechanisms for this adverse effect. In 11 ethnically diverse cohorts that included 71 857 European, African-American and Hispanic/Latino ancestry individuals with repeated measures of medication use and electrocardiogram (ECG) measurements, we conducted a pharmacogenomic genome-wide association study of sulfonylurea use and three ECG phenotypes: QT, JT and QRS intervals. In ancestry-specific meta-analyses, eight novel pharmacogenomic loci met the threshold for genome-wide significance (P

Published
2018

2. GWAS for executive function and processing speed suggests involvement of the CADM2 gene

Author

Ibrahim-Verbaas, CA, Bressler, J, Debette, S, Schuur, M, Smith, AV, Bis, JC, Davies, G, Trompet, S, Smith, JA, Wolf, C, Chibnik, LB, Liu, Y, Vitart, V, Kirin, M, Petrovic, K, Polasek, O, Zgaga, L, Fawns-Ritchie, C, Hoffmann, P, Karjalainen, J, Lahti, J, Llewellyn, DJ, Schmidt, CO, Mather, KA, Chouraki, V, Sun, Q, Resnick, SM, Rose, LM, Oldmeadow, C, Stewart, M, Smith, BH, Gudnason, V, Yang, Q, Mirza, SS, Jukema, JW, deJager, PL, Harris, TB, Liewald, DC, Amin, N, Coker, LH, Stegle, O, Lopez, OL, Schmidt, R, Teumer, A, Ford, I, Karbalai, N, Becker, JT, Jonsdottir, MK, Au, R, Fehrmann, RSN, Herms, S, Nalls, M, Zhao, W, Turner, ST, Yaffe, K, Lohman, K, van Swieten, JC, Kardia, SLR, Knopman, DS, Meeks, WM, Heiss, G, Holliday, EG, Schofield, PW, Tanaka, T, Stott, DJ, Wang, J, Ridker, P, Gow, AJ, Pattie, A, Starr, JM, Hocking, LJ, Armstrong, NJ, McLachlan, S, Shulman, JM, Pilling, LC, Eiriksdottir, G, Scott, RJ, Kochan, NA, Palotie, A, Hsieh, Y-C, Eriksson, JG, Penman, A, Gottesman, RF, Oostra, BA, Yu, L, DeStefano, AL, Beiser, A, Garcia, M, Rotter, JI, Nöthen, MM, Hofman, A, Slagboom, PE, Westendorp, RGJ, Buckley, BM, Wolf, PA, Uitterlinden, AG, Psaty, BM, Grabe, HJ, Bandinelli, S, and Chasman, DI

Subjects
Biological Psychology, Clinical and Health Psychology, Psychology, Genetics, Basic Behavioral and Social Science, Aging, Human Genome, Brain Disorders, Behavioral and Social Science, Mental Health, Neurosciences, Aged, Aged, 80 and over, Cell Adhesion Molecules, Cognition, Cohort Studies, Executive Function, Female, Genetic Association Studies, Genetic Variation, Genome-Wide Association Study, Genomics, Humans, Introns, Male, Middle Aged, Neuropsychological Tests, Polymorphism, Single Nucleotide, White People, gamma-Aminobutyric Acid, Generation Scotland, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

To identify common variants contributing to normal variation in two specific domains of cognitive functioning, we conducted a genome-wide association study (GWAS) of executive functioning and information processing speed in non-demented older adults from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) consortium. Neuropsychological testing was available for 5429-32,070 subjects of European ancestry aged 45 years or older, free of dementia and clinical stroke at the time of cognitive testing from 20 cohorts in the discovery phase. We analyzed performance on the Trail Making Test parts A and B, the Letter Digit Substitution Test (LDST), the Digit Symbol Substitution Task (DSST), semantic and phonemic fluency tests, and the Stroop Color and Word Test. Replication was sought in 1311-21860 subjects from 20 independent cohorts. A significant association was observed in the discovery cohorts for the single-nucleotide polymorphism (SNP) rs17518584 (discovery P-value=3.12 × 10(-8)) and in the joint discovery and replication meta-analysis (P-value=3.28 × 10(-9) after adjustment for age, gender and education) in an intron of the gene cell adhesion molecule 2 (CADM2) for performance on the LDST/DSST. Rs17518584 is located about 170 kb upstream of the transcription start site of the major transcript for the CADM2 gene, but is within an intron of a variant transcript that includes an alternative first exon. The variant is associated with expression of CADM2 in the cingulate cortex (P-value=4 × 10(-4)). The protein encoded by CADM2 is involved in glutamate signaling (P-value=7.22 × 10(-15)), gamma-aminobutyric acid (GABA) transport (P-value=1.36 × 10(-11)) and neuron cell-cell adhesion (P-value=1.48 × 10(-13)). Our findings suggest that genetic variation in the CADM2 gene is associated with individual differences in information processing speed.

Published
2016

3. A genome-wide association study of anorexia nervosa

Author

Boraska, V, Franklin, CS, Floyd, JAB, Thornton, LM, Huckins, LM, Southam, L, Rayner, NW, Tachmazidou, I, Klump, KL, Treasure, J, Lewis, CM, Schmidt, U, Tozzi, F, Kiezebrink, K, Hebebrand, J, Gorwood, P, Adan, RAH, Kas, MJH, Favaro, A, Santonastaso, P, Fernández-Aranda, F, Gratacos, M, Rybakowski, F, Dmitrzak-Weglarz, M, Kaprio, J, Keski-Rahkonen, A, Raevuori, A, Van Furth, EF, Slof-Op 't Landt, MCT, Hudson, JI, Reichborn-Kjennerud, T, Knudsen, GPS, Monteleone, P, Kaplan, AS, Karwautz, A, Hakonarson, H, Berrettini, WH, Guo, Y, Li, D, Schork, NJ, Komaki, G, Ando, T, Inoko, H, Esko, T, Fischer, K, Männik, K, Metspalu, A, Baker, JH, Cone, RD, Dackor, J, DeSocio, JE, Hilliard, CE, O'Toole, JK, Pantel, J, Szatkiewicz, JP, Taico, C, Zerwas, S, Trace, SE, Davis, OSP, Helder, S, Bühren, K, Burghardt, R, de Zwaan, M, Egberts, K, Ehrlich, S, Herpertz-Dahlmann, B, Herzog, W, Imgart, H, Scherag, A, Scherag, S, Zipfel, S, Boni, C, Ramoz, N, Versini, A, Brandys, MK, Danner, UN, de Kovel, C, Hendriks, J, Koeleman, BPC, Ophoff, RA, Strengman, E, van Elburg, AA, Bruson, A, Clementi, M, Degortes, D, Forzan, M, Tenconi, E, Docampo, E, Escaramís, G, Jiménez-Murcia, S, Lissowska, J, Rajewski, A, Szeszenia-Dabrowska, N, Slopien, A, Hauser, J, Karhunen, L, Meulenbelt, I, Slagboom, PE, Tortorella, A, and Maj, M

Subjects
Anorexia, Mental Health, Serious Mental Illness, Human Genome, Eating Disorders, Clinical Research, Genetics, Aetiology, 2.1 Biological and endogenous factors, Anorexia Nervosa, Asian People, Calcineurin, Carrier Proteins, Case-Control Studies, Cullin Proteins, Female, Genome-Wide Association Study, Guanine Nucleotide Exchange Factors, Humans, Japan, Male, Meta-Analysis as Topic, Nuclear Proteins, Polymorphism, Single Nucleotide, White People, anorexia nervosa, body mass index, eating disorders, genome-wide association study, GWAS, metabolic, Wellcome Trust Case Control Consortium 3, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Anorexia nervosa (AN) is a complex and heritable eating disorder characterized by dangerously low body weight. Neither candidate gene studies nor an initial genome-wide association study (GWAS) have yielded significant and replicated results. We performed a GWAS in 2907 cases with AN from 14 countries (15 sites) and 14 860 ancestrally matched controls as part of the Genetic Consortium for AN (GCAN) and the Wellcome Trust Case Control Consortium 3 (WTCCC3). Individual association analyses were conducted in each stratum and meta-analyzed across all 15 discovery data sets. Seventy-six (72 independent) single nucleotide polymorphisms were taken forward for in silico (two data sets) or de novo (13 data sets) replication genotyping in 2677 independent AN cases and 8629 European ancestry controls along with 458 AN cases and 421 controls from Japan. The final global meta-analysis across discovery and replication data sets comprised 5551 AN cases and 21 080 controls. AN subtype analyses (1606 AN restricting; 1445 AN binge-purge) were performed. No findings reached genome-wide significance. Two intronic variants were suggestively associated: rs9839776 (P=3.01 × 10(-7)) in SOX2OT and rs17030795 (P=5.84 × 10(-6)) in PPP3CA. Two additional signals were specific to Europeans: rs1523921 (P=5.76 × 10(-)(6)) between CUL3 and FAM124B and rs1886797 (P=8.05 × 10(-)(6)) near SPATA13. Comparing discovery with replication results, 76% of the effects were in the same direction, an observation highly unlikely to be due to chance (P=4 × 10(-6)), strongly suggesting that true findings exist but our sample, the largest yet reported, was underpowered for their detection. The accrual of large genotyped AN case-control samples should be an immediate priority for the field.

Published
2014

4. Drug–gene interactions and the search for missing heritability: a cross-sectional pharmacogenomics study of the QT interval

Author

Avery, CL, Sitlani, CM, Arking, DE, Arnett, DK, Bis, JC, Boerwinkle, E, Buckley, BM, Ida Chen, Y-D, de Craen, AJM, Eijgelsheim, M, Enquobahrie, D, Evans, DS, Ford, I, Garcia, ME, Gudnason, V, Harris, TB, Heckbert, SR, Hochner, H, Hofman, A, Hsueh, W-C, Isaacs, A, Jukema, JW, Knekt, P, Kors, JA, Krijthe, BP, Kristiansson, K, Laaksonen, M, Liu, Y, Li, X, MacFarlane, PW, Newton-Cheh, C, Nieminen, MS, Oostra, BA, Peloso, GM, Porthan, K, Rice, K, Rivadeneira, FF, Rotter, JI, Salomaa, V, Sattar, N, Siscovick, DS, Slagboom, PE, Smith, AV, Sotoodehnia, N, Stott, DJ, Stricker, BH, Stürmer, T, Trompet, S, Uitterlinden, AG, van Duijn, C, Westendorp, RGJ, Witteman, JC, Whitsel, EA, and Psaty, BM

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Human Genome, Genetics, Patient Safety, 5.1 Pharmaceuticals, Good Health and Well Being, Computer Simulation, Cross-Sectional Studies, Drug-Related Side Effects and Adverse Reactions, Electrocardiography, Gene-Environment Interaction, Genome-Wide Association Study, Humans, Linear Models, Long QT Syndrome, Markov Chains, Pharmacogenetics, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, White People, gene-environment interaction, genetic epidemiology, QT interval, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

Variability in response to drug use is common and heritable, suggesting that genome-wide pharmacogenomics studies may help explain the 'missing heritability' of complex traits. Here, we describe four independent analyses in 33 781 participants of European ancestry from 10 cohorts that were designed to identify genetic variants modifying the effects of drugs on QT interval duration (QT). Each analysis cross-sectionally examined four therapeutic classes: thiazide diuretics (prevalence of use=13.0%), tri/tetracyclic antidepressants (2.6%), sulfonylurea hypoglycemic agents (2.9%) and QT-prolonging drugs as classified by the University of Arizona Center for Education and Research on Therapeutics (4.4%). Drug-gene interactions were estimated using covariable-adjusted linear regression and results were combined with fixed-effects meta-analysis. Although drug-single-nucleotide polymorphism (SNP) interactions were biologically plausible and variables were well-measured, findings from the four cross-sectional meta-analyses were null (Pinteraction>5.0 × 10(-8)). Simulations suggested that additional efforts, including longitudinal modeling to increase statistical power, are likely needed to identify potentially important pharmacogenomic effects.

Published
2014

5. Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes

Author

Albrechtsen, A, Grarup, N, Li, Y, Sparsø, T, Tian, G, Cao, H, Jiang, T, Kim, SY, Korneliussen, T, Li, Q, Nie, C, Wu, R, Skotte, L, Morris, AP, Ladenvall, C, Cauchi, S, Stančáková, A, Andersen, G, Astrup, A, Banasik, K, Bennett, AJ, Bolund, L, Charpentier, G, Chen, Y, Dekker, JM, Doney, ASF, Dorkhan, M, Forsen, T, Frayling, TM, Groves, CJ, Gui, Y, Hallmans, G, Hattersley, AT, He, K, Hitman, GA, Holmkvist, J, Huang, S, Jiang, H, Jin, X, Justesen, JM, Kristiansen, K, Kuusisto, J, Lajer, M, Lantieri, O, Li, W, Liang, H, Liao, Q, Liu, X, Ma, T, Ma, X, Manijak, MP, Marre, M, Mokrosiński, J, Morris, AD, Mu, B, Nielsen, AA, Nijpels, G, Nilsson, P, Palmer, CNA, Rayner, NW, Renström, F, Ribel-Madsen, R, Robertson, N, Rolandsson, O, Rossing, P, Schwartz, TW, Slagboom, PE, Sterner, M, D.E.S.I.R. Study Group, Tang, M, Tarnow, L, the DIAGRAM Consortium, Tuomi, T, van’t Riet, E, van Leeuwen, N, Varga, TV, Vestmar, MA, Walker, M, Wang, B, Wang, Y, Wu, H, Xi, F, Yengo, L, Yu, C, Zhang, X, Zhang, J, Zhang, Q, Zhang, W, Zheng, H, Zhou, Y, Altshuler, D, ‘t Hart, LM, Franks, PW, Balkau, B, Froguel, P, McCarthy, MI, Laakso, M, Groop, L, Christensen, C, and Brandslund, I

Subjects
Diabetes, Human Genome, Nutrition, Genetics, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Diabetes Mellitus, Type 2, Exome, Gene Frequency, Genotype, High-Throughput Nucleotide Sequencing, Humans, Hypertension, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Exome sequencing, Genetic epidemiology, Lipids, Next-generation sequencing, Obesity, Type 2 diabetes, D.E.S.I.R. Study Group, DIAGRAM Consortium, Clinical Sciences, Paediatrics and Reproductive Medicine, Public Health and Health Services, Endocrinology & Metabolism
Abstract

Aims/hypothesisHuman complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes.MethodsThe study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p 1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p = 8.5 × 10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p = 1.2 × 10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p = 8.2 × 10(-10)).Conclusions/interpretationWe applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits.

Published
2013

6. Insights into the genetic architecture of osteoarthritis from stage 1 of the arcOGEN study

Author

Panoutsopoulou, K, Southam, L, Elliott, KS, Wrayner, N, Zhai, G, Beazley, C, Thorleifsson, G, Arden, NK, Carr, A, Chapman, K, Deloukas, P, Doherty, M, McCaskie, A, Ollier, WER, Ralston, SH, Spector, TD, Valdes, AM, Wallis, GA, Wilkinson, JM, Arden, E, Battley, K, Blackburn, H, Blanco, FJ, Bumpstead, S, Cupples, LA, Day-Williams, AG, Dixon, K, Doherty, SA, Esko, T, Evangelou, E, Felson, D, Gomez-Reino, JJ, Gonzalez, A, Gordon, A, Gwilliam, R, Halldorsson, BV, Hauksson, VB, Hofman, A, Hunt, SE, Ioannidis, JPA, Ingvarsson, T, Jonsdottir, I, Jonsson, H, Keen, R, Kerkhof, HJM, Kloppenburg, MG, Koller, N, Lakenberg, N, Lane, NE, Lee, AT, Metspalu, A, Meulenbelt, I, Nevitt, MC, O'Neill, F, Parimi, N, Potter, SC, Rego-Perez, I, Riancho, JA, Sherburn, K, Slagboom, PE, Stefansson, K, Styrkarsdottir, U, Sumillera, M, Swift, D, Thorsteinsdottir, U, Tsezou, A, Uitterlinden, AG, van Meurs, JBJ, Watkins, B, Wheeler, M, Mitchell, S, Zhu, Y, Zmuda, JM, Consortium, arcOGEN, Zeggini, E, and Loughlin, J

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Immunology, Arthritis, Genetics, Prevention, Aging, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Musculoskeletal, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Multifactorial Inheritance, Osteoarthritis, Hip, Osteoarthritis, Knee, Polymorphism, Single Nucleotide, arcOGEN Consortium, Public Health and Health Services, Arthritis & Rheumatology, Clinical sciences
Abstract

ObjectivesThe genetic aetiology of osteoarthritis has not yet been elucidated. To enable a well-powered genome-wide association study (GWAS) for osteoarthritis, the authors have formed the arcOGEN Consortium, a UK-wide collaborative effort aiming to scan genome-wide over 7500 osteoarthritis cases in a two-stage genome-wide association scan. Here the authors report the findings of the stage 1 interim analysis.MethodsThe authors have performed a genome-wide association scan for knee and hip osteoarthritis in 3177 cases and 4894 population-based controls from the UK. Replication of promising signals was carried out in silico in five further scans (44,449 individuals), and de novo in 14 534 independent samples, all of European descent.ResultsNone of the association signals the authors identified reach genome-wide levels of statistical significance, therefore stressing the need for corroboration in sample sets of a larger size. Application of analytical approaches to examine the allelic architecture of disease to the stage 1 genome-wide association scan data suggests that osteoarthritis is a highly polygenic disease with multiple risk variants conferring small effects.ConclusionsIdentifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity.

Published
2011

9. Skewed X-inactivation is common in the general female population

Author

Shvetsova, E, Sofronova, A, Monajemi, R, Gagalova, K, Draisma, HHM, White, SJ, Santen, GWE, Lopes, SMCDS, Heijmans, BT, Van Meurs, J, Jansen, R, Franke, L, Kielbasa, SM, Den Dunnen, JT, 't Hoen, PAC, Boomsma, DI, Pool, R, Van Dongen, J, Hottenga, JJ, Van Greevenbroek, MMJ, Da Stehouwer, C, Van der Kallen, CJH, Schalkwijk, CG, Wijmenga, C, Zhernakova, S, Tigchelaar, EF, Slagboom, PE, Beekman, M, Deelen, J, Van Heemst, D, Veldink, JH, Van den Berg, LH, Van Duijn, CM, Hofman, BA, Uitterlinden, AG, Jhamai, PM, Verbiest, M, Suchiman, HED, Verkerk, M, Van der Breggen, R, Van Rooij, J, Lakenberg, N, Mei, H, Bot, J, Zhernakova, DV, 't Hof, PV, Deelen, P, Nooren, I, Moed, M, Vermaat, M, Luijk, R, Bonder, MJ, Van Iterson, M, Van Dijk, F, Van Galen, M, Arindrarto, W, Swertz, MA, Van Zwet, EW, Isaacs, A, Francioli, LC, Menelaou, A, Pulit, SL, Palamara, PF, Elbers, CC, Neerincx, PB, Ye, K, Guryev, V, Kloosterman, WP, Abdellaoui, A, Van Leeuwen, EM, Van Oven, M, Li, M, Laros, JF, Karssen, LC, Kanterakis, A, Amin, N, Lameijer, EW, Kattenberg, M, Dijkstra, M, Byelas, H, Van Setten, J, Van Schaik, BD, Nijman, IJ, Renkens, I, Marschall, T, Schonhuth, A, Hehir-Kwa, JY, Handsaker, RE, Polak, P, Sohail, M, Vuzman, D, Hormozdiari, F, Van Enckevort, D, Koval, V, Moed, MH, Van der Velde, KJ, Rivadeneira, F, Estrada, K, Medina-Gomez, C, McCarroll, SA, De Craen, AJ, Suchiman, HE, Oostra, B, Willemsen, G, Platteel, M, Pitts, SJ, Potluri, S, Sundar, P, Cox, DR, Sunyaev, SR, Stoneking, M, De Knijff, P, Kayser, M, Li, Q, Li, Y, Du, Y, Chen, R, Cao, H, Li, N, Cao, S, Wang, J, Bovenberg, JA, Pe'er, I, Van Ommen, GJ, De Bakker, PI, Consortium, Bios, Consortium, Gonl, BIOS consortium, GoNL consortium, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Groningen Research Institute for Asthma and COPD (GRIAC), Stem Cell Aging Leukemia and Lymphoma (SALL), Epidemiology and Data Science, AII - Inflammatory diseases, APH - Methodology, Experimental Immunology, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, APH - Personalized Medicine, Biological Psychology, APH - Mental Health, APH - Health Behaviors & Chronic Diseases, RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, Interne Geneeskunde, RS: CARIM - R3 - Vascular biology, MUMC+: MA Reumatologie (9), MUMC+: MA Nefrologie (9), MUMC+: MA Medische Oncologie (9), MUMC+: MA Hematologie (9), MUMC+: MA Maag Darm Lever (9), MUMC+: MA Endocrinologie (9), MUMC+: HVC Pieken Maastricht Studie (9), RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, MUMC+: MA Interne Geneeskunde (3), RS: Carim - B01 Blood proteins & engineering, RS: FHML MaCSBio, RS: CARIM - R1 - Thrombosis and haemostasis, RS: CARIM - R1.01 - Blood proteins & engineering, Biochemie, Psychiatry, VU University medical center, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Internal Medicine, Epidemiology, Genetic Identification, and Clinical Genetics

Subjects
Netherlands Twin Register (NTR), Male, 0301 basic medicine, Receptors, Cytoplasmic and Nuclear/genetics, CHROMOSOME-INACTIVATION, BIOS consortium, Receptors, Cytoplasmic and Nuclear, Septins/genetics, Population genetics, GoNL consortium, Population/genetics, Negative selection, 0302 clinical medicine, X Chromosome Inactivation, Receptors, Non-U.S. Gov't, Genetics (clinical), Netherlands, Genetics & Heredity, Genetics, education.field_of_study, Membrane Glycoproteins, Dosage compensation, DMD LOCUS, Research Support, Non-U.S. Gov't, Receptors, Peptide/genetics, Intracellular Signaling Peptides and Proteins, Peptide/genetics, Single Nucleotide, CARRIERS, TRANSLOCATION, VARIABILITY, Female, Life Sciences & Biomedicine, EXPRESSION, Biochemistry & Molecular Biology, Receptors, Peptide, Population, ADRENOLEUKODYSTROPHY, Biology, Research Support, Polymorphism, Single Nucleotide, Article, X-inactivation, DUCHENNE MUSCULAR-DYSTROPHY, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, Journal Article, Humans, Polymorphism, Allele, education, Skewed X-inactivation, Gene, 0604 Genetics, Calcium-Binding Proteins/genetics, Science & Technology, CONSEQUENCES, Calcium-Binding Proteins, Membrane Glycoproteins/genetics, 030104 developmental biology, Cytoplasmic and Nuclear/genetics, PATTERNS, Intracellular Signaling Peptides and Proteins/genetics, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], Septins, 030217 neurology & neurosurgery
Abstract

X-inactivation is a well-established dosage compensation mechanism ensuring that X-chromosomal genes are expressed at comparable levels in males and females. Skewed X-inactivation is often explained by negative selection of one of the alleles. We demonstrate that imbalanced expression of the paternal and maternal X-chromosomes is common in the general population and that the random nature of the X-inactivation mechanism can be sufficient to explain the imbalance. To this end, we analyzed blood-derived RNA and whole-genome sequencing data from 79 female children and their parents from the Genome of the Netherlands project. We calculated the median ratio of the paternal over total counts at all X-chromosomal heterozygous single-nucleotide variants with coverage ≥10. We identified two individuals where the same X-chromosome was inactivated in all cells. Imbalanced expression of the two X-chromosomes (ratios ≤0.35 or ≥0.65) was observed in nearly 50% of the population. The empirically observed skewing is explained by a theoretical model where X-inactivation takes place in an embryonic stage in which eight cells give rise to the hematopoietic compartment. Genes escaping X-inactivation are expressed from both alleles and therefore demonstrate less skewing than inactivated genes. Using this characteristic, we identified three novel escapee genes (SSR4, REPS2, and SEPT6), but did not find support for many previously reported escapee genes in blood. Our collective data suggest that skewed X-inactivation is common in the general population. This may contribute to manifestation of symptoms in carriers of recessive X-linked disorders. We recommend that X-inactivation results should not be used lightly in the interpretation of X-linked variants.

Published
2019
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10. A combined lifestyle intervention induces a sensitization of the blood transcriptomic response to a nutrient challenge

Author

Reinders Mjt, de Groot L, Slagboom Pe, Mei L, Thies Gehrmann, van den Akker Eb, Yotam Raz, van de Rest O, van der Breggen R, Joris Deelen, Marian Beekman, and Linda Partridge

Subjects
Transcriptome, medicine.anatomical_structure, Metabolomics, business.industry, Intervention (counseling), Cellular stress response, Psychological intervention, medicine, Physiology, Disease, Risk factor, business, Sensitization
Abstract

The global population is growing older. As age is a primary risk factor of (multi)morbidity, there is a need for novel indicators to predict, track, treat and prevent the development of disease. Lifestyle interventions have shown promising results in improving the health of participants and reducing the risk for disease, but in the elderly population, such interventions often show less reliable or subtle effects on health outcomes. This is further complicated by a poor understanding of the homeodynamics and the molecular effects of lifestyle interventions, by which their effects of a lifestyle intervention remain obscured. In the Growing Old Together (GOTO) study, we examined the responses of 164 healthy, elderly men and women to a 13-week combined physical and dietary lifestyle intervention. In addition to collecting blood samples at a fasted state, we sampled blood also 30 minutes following a standardized meal. This allows us to investigate an intervention response not only in the traditional fasted state, but also in the blood metabolic and cellular responses to a nutrient challenge. We investigated the transcriptomic and metabolomic responses to this nutrient challenge, how these responses relate to each other, and how this response is affected by the lifestyle intervention.We find that the intervention has very little effect on the fasted blood transcriptome, but that the nutrient challenge induces a large translational inhibition, and an innate immune activation, which together comprise a cellular stress response that is stimulated by the intervention. A sex-specific analysis reveals that although the same set of genes respond in the same direction in both males and females, the magnitude of these effects differ, and are modulated differently by the intervention. On the other hand, the metabolomic response to the nutrient challenge is largely unaffected by the intervention, and the correlation between the metabolomic nutrient response and transcriptomic modules indicates that the change in transcriptomic response to the nutrient challenge is independent from a change in cellular metabolomic environment.This work constitutes a glance at the acute transcriptomic stress response to nutrient intake in blood, and how a lifestyle intervention affects this response in healthy elderly, and may lead to the development of novel biomarkers to capture the phenotypic flexibility of health.

Published
2021
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11. Associations of Cytomegalovirus Infection With All-Cause and Cardiovascular Mortality in Multiple Observational Cohort Studies of Older Adults

Author

Chen, S, Pawelec, G, Trompet, S, Goldeck, D, Mortensen, LH, Slagboom, PE, Christensen, K, Gussekloo, J, Kearney, P, Buckley, BM, Ford, I, Jukema, JW, Westendorp, RGJ, Maier, AB, Chen, S, Pawelec, G, Trompet, S, Goldeck, D, Mortensen, LH, Slagboom, PE, Christensen, K, Gussekloo, J, Kearney, P, Buckley, BM, Ford, I, Jukema, JW, Westendorp, RGJ, and Maier, AB

Abstract

BACKGROUND: Whether latent cytomegalovirus (CMV) infection in older adults has any substantial health consequences is unclear. Here, we sought associations between CMV-seropositivity and IgG titer with all-cause and cardiovascular mortality in 5 longitudinal cohorts. METHODS: Leiden Longevity Study, Prospective Study of Pravastatin in the Elderly at Risk, Longitudinal Study of Aging Danish Twins, and Leiden 85-plus Study were assessed at median (2.8-11.4 years) follow-up . Cox regression and random effects meta-analysis were used to estimate mortality risk dependent on CMV serostatus and/or IgG antibody titer, in quartiles after adjusting for confounders. RESULTS: CMV-seropositivity was seen in 47%-79% of 10 122 white community-dwelling adults aged 59-93 years. Of these, 3519 had died on follow-up (579 from cardiovascular disease). CMV seropositivity was not associated with all-cause (hazard ratio [HR], 1.05; 95% confidence interval [CI], .97-1.14) or cardiovascular mortality (HR, 0.97; 95% CI, .83-1.13). Subjects in the highest CMV IgG quartile group had increased all-cause mortality relative to CMV-seronegatives (HR, 1.16; 95% CI, 1.04-1.29) but this association lost significance after adjustment for confounders (HR, 1.13; 95% CI, .99-1.29). The lack of increased mortality risk was confirmed in subanalyses. CONCLUSIONS: CMV infection is not associated with all-cause or cardiovascular mortality in white community-dwelling older adults.

Published
2021

12. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies

Author

Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Crowley, JJ, Danner, UN, Davis, OS, Zwaan, M, Dedoussis, G, Degortes, D, DeSocio, JE, Dick, DM, Dikeos, D, Dina, C, Dmitrzak-Weglarz, M, Docampo, E, Duncan, LE, Egberts, K, Ehrlich, S, Escaramís, G, Esko, T, Estivill, X, Farmer, A, Favaro, A, Fernández-Aranda, F, Fichter, MM, Fischer, K, Föcker, M, Foretova, L, Forstner, AJ, Forzan, M, Franklin, CS, Gallinger, S, Giegling, I, Giuranna, J, Gonidakis, F, Gorwood, P, Gratacos Mayora, M, Guillaume, S, Guo, Y, Hakonarson, H, Hatzikotoulas, K, Hauser, J, Hebebrand, J, Helder, SG, Herms, S, Herpertz-Dahlmann, B, Herzog, W, Huckins, LM, Hudson, JI, Imgart, H, Inoko, H, Janout, V, Jiménez-Murcia, S, Julià, A, Kalsi, G, Kaminská, D, Karhunen, L, Karwautz, A, Kas, MJH, Kennedy, JL, Keski-Rahkonen, A, Kiezebrink, K, Kim, YR, Klump, KL, Knudsen, GP, La Via, MC, Le Hellard, S, Levitan, RD, Li, D, Lilenfeld, L, Lin, BD, Lissowska, J, Luykx, J, Magistretti, PJ, Maj, M, Mannik, K, Marsal, S, Marshall, CR, Mattingsdal, M, McDevitt, S, McGuffin, P, Metspalu, A, Meulenbelt, I, Micali, N, Mitchell, K, Monteleone, A M, Monteleone, P, Nacmias, B, Navratilova, M, Ntalla, I, O'Toole, JK, Ophoff, Roel, Padyukov, L, Palotie, A, Pantel, J, Papezova, H, Pinto, D, Rabionet, R, Raevuori, A, Ramoz, N, Reichborn-Kjennerud, T, Ricca, V, Ripatti, S, Ritschel, F, Roberts, M, Rotondo, A, Rujescu, D, Rybakowski, F, Santonastaso, P, Scherag, A, Scherer, SW, Schmidt, U, Schork, NJ, Schosser, A, Seitz, J, Slachtova, L, Slagboom, PE, Slof-Op't Landt, MCT, Slopien, A, Sorbi, S, ?wi?tkowska, B, Szatkiewicz, JP, Tachmazidou, I, Tenconi, E, Tortorella, A, Tozzi, F, Treasure, J, Tsitsika, A, Tyszkiewicz-Nwafor, M, Tziouvas, K, van Elburg, AA, van Furth, EF, Wagner, G, Walton, E, Widen, E, Zeggini, E, Zerwas, S, Zipfel, S, Bergen, AW, Boden, JM, Brandt, H, Crawford, S, Halmi, KA, Horwood, LJ, Johnson, C, Kaplan, AS, Kaye, WH, Mitchell, J E, Olsen, CM, Pearson, JF, Pedersen, NL, Strober, M, Werge, T, Whiteman, DC, Woodside, DB, Grove, J, Henders, AK, Larsen, J T, Parker, R, Petersen, LV, Jordan, J, Kennedy, MA, Birgegård, A, Lichtenstein, P, Norring, C, Landén, M, Mortensen, PB, Polimanti, R, McClintick, JN, Adkins, AE, Aliev, F, Bacanu, SA, Batzler, A, Bertelsen, S, Biernacka, JM, Bigdeli, TB, Chen, L S, Clarke, TK, Degenhardt, F, Docherty, AR, Edwards, AC, Foo, JC, Fox, L, Frank, J, Hack, LM, Hartmann, AM, Hartz, SM, Heilmann-Heimbach, S, Hodgkinson, C, Hoffmann, P, Hottenga, JJ, Konte, B, Lahti, J, Lahti-Pulkkinen, M, Lai, D, Ligthart, L, Loukola, A, Maher, BS, Mbarek, H, McIntosh, AM, McQueen, MB, Meyers, JL, Milaneschi, Y, Palviainen, T, Peterson, RE, Ryu, E, Saccone, N L, Salvatore, JE, Sanchez-Roige, S, Schwandt, M, Sherva, R, Streit, F, Strohmaier, J, Thomas, N, Wang, JCY, Webb, BT, Wedow, R, Wetherill, L, Wills, AG, Zhou, H, Boardman, JD, Chen, D, Choi, D S, Copeland, WE, Culverhouse, RC, Dahmen, N, Degenhardt, L, Domingue, BW, Frye, MA, Gäebel, W, Hayward, C, Ising, M, Keyes, M, Kiefer, F, Koller, G, Kramer, J (John), Kuperman, S, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Männistö, S, Müller-Myhsok, B, Murray, AD, Nurnberger, JI, Preuss, U, Räikkönen, K, Reynolds, MD, Ridinger, M, Scherbaum, N, Schuckit, MA, Soyka, M, Treutlein, J, Witt, SH, Wodarz, N, Zill, P, Adkins, DE, Boomsma, DI, Bierut, LJ, Brown, S, Bucholz, KK, Costello, EJ, Wit, HJ, Diazgranados, N, Eriksson, JG, Farrer, LA, Foroud, TM, Gillespie, NA, Goate, AM, Goldman, D, Grucza, RA, Hancock, DB, Harris, KM, Hesselbrock, V, Hewitt, JK, Hopfer, CJ, Iacono, WG, Johnson, E O, Karpyak, VM, Kendler, KS, Kranzler, HR, Krauter, K, Lind, PA, McGue, M, MacKillop, J, Madden, PA, Maes, HH, Magnusson, PKE, Nelson, EC, Nöthen, MM, Palmer, AA, Penninx, BWJH, Porjesz, B, Rice, JP, Rietschel, M, Riley, BP, Rose, RJ, Shen, PH, Silberg, J, Stallings, MC, Tarter, RE, Vanyukov, MM, Vrieze, S, Wall, TL, Whitfield, JB, Zhao, H, Neale, BM, Wade, TD, Heath, AC, Montgomery, GW, Martin, NG, Sullivan, PF, Kaprio, J, Breen, G, Gelernter, J, Edenberg, HJ, Bulik, CM, Agrawal, A, Munn-Chernoff, MA, Johnson, EC, Chou, YL, Coleman, JRI, Thornton, LM, Walters, RK, Yilmaz, Z, Baker, JH, Hübel, C, Gordon, S, Medland, SE, Watson, HJ, Gaspar, HA, Bryois, J, Hinney, A, Leppä, VM, Mattheisen, M, Ripke, S, Yao, S, Giusti-Rodríguez, P, Hanscombe, KB, Adan, RAH, Alfredsson, L, Ando, T, Andreassen, OA, Berrettini, WH, Boehm, I, Boni, C, Boraska Perica, V, Buehren, K, Burghardt, R, Cassina, M, Cichon, S, Clementi, M, Cone, RD, Courtet, P, Crow, S, Crowley, JJ, Danner, UN, Davis, OS, Zwaan, M, Dedoussis, G, Degortes, D, DeSocio, JE, Dick, DM, Dikeos, D, Dina, C, Dmitrzak-Weglarz, M, Docampo, E, Duncan, LE, Egberts, K, Ehrlich, S, Escaramís, G, Esko, T, Estivill, X, Farmer, A, Favaro, A, Fernández-Aranda, F, Fichter, MM, Fischer, K, Föcker, M, Foretova, L, Forstner, AJ, Forzan, M, Franklin, CS, Gallinger, S, Giegling, I, Giuranna, J, Gonidakis, F, Gorwood, P, Gratacos Mayora, M, Guillaume, S, Guo, Y, Hakonarson, H, Hatzikotoulas, K, Hauser, J, Hebebrand, J, Helder, SG, Herms, S, Herpertz-Dahlmann, B, Herzog, W, Huckins, LM, Hudson, JI, Imgart, H, Inoko, H, Janout, V, Jiménez-Murcia, S, Julià, A, Kalsi, G, Kaminská, D, Karhunen, L, Karwautz, A, Kas, MJH, Kennedy, JL, Keski-Rahkonen, A, Kiezebrink, K, Kim, YR, Klump, KL, Knudsen, GP, La Via, MC, Le Hellard, S, Levitan, RD, Li, D, Lilenfeld, L, Lin, BD, Lissowska, J, Luykx, J, Magistretti, PJ, Maj, M, Mannik, K, Marsal, S, Marshall, CR, Mattingsdal, M, McDevitt, S, McGuffin, P, Metspalu, A, Meulenbelt, I, Micali, N, Mitchell, K, Monteleone, A M, Monteleone, P, Nacmias, B, Navratilova, M, Ntalla, I, O'Toole, JK, Ophoff, Roel, Padyukov, L, Palotie, A, Pantel, J, Papezova, H, Pinto, D, Rabionet, R, Raevuori, A, Ramoz, N, Reichborn-Kjennerud, T, Ricca, V, Ripatti, S, Ritschel, F, Roberts, M, Rotondo, A, Rujescu, D, Rybakowski, F, Santonastaso, P, Scherag, A, Scherer, SW, Schmidt, U, Schork, NJ, Schosser, A, Seitz, J, Slachtova, L, Slagboom, PE, Slof-Op't Landt, MCT, Slopien, A, Sorbi, S, ?wi?tkowska, B, Szatkiewicz, JP, Tachmazidou, I, Tenconi, E, Tortorella, A, Tozzi, F, Treasure, J, Tsitsika, A, Tyszkiewicz-Nwafor, M, Tziouvas, K, van Elburg, AA, van Furth, EF, Wagner, G, Walton, E, Widen, E, Zeggini, E, Zerwas, S, Zipfel, S, Bergen, AW, Boden, JM, Brandt, H, Crawford, S, Halmi, KA, Horwood, LJ, Johnson, C, Kaplan, AS, Kaye, WH, Mitchell, J E, Olsen, CM, Pearson, JF, Pedersen, NL, Strober, M, Werge, T, Whiteman, DC, Woodside, DB, Grove, J, Henders, AK, Larsen, J T, Parker, R, Petersen, LV, Jordan, J, Kennedy, MA, Birgegård, A, Lichtenstein, P, Norring, C, Landén, M, Mortensen, PB, Polimanti, R, McClintick, JN, Adkins, AE, Aliev, F, Bacanu, SA, Batzler, A, Bertelsen, S, Biernacka, JM, Bigdeli, TB, Chen, L S, Clarke, TK, Degenhardt, F, Docherty, AR, Edwards, AC, Foo, JC, Fox, L, Frank, J, Hack, LM, Hartmann, AM, Hartz, SM, Heilmann-Heimbach, S, Hodgkinson, C, Hoffmann, P, Hottenga, JJ, Konte, B, Lahti, J, Lahti-Pulkkinen, M, Lai, D, Ligthart, L, Loukola, A, Maher, BS, Mbarek, H, McIntosh, AM, McQueen, MB, Meyers, JL, Milaneschi, Y, Palviainen, T, Peterson, RE, Ryu, E, Saccone, N L, Salvatore, JE, Sanchez-Roige, S, Schwandt, M, Sherva, R, Streit, F, Strohmaier, J, Thomas, N, Wang, JCY, Webb, BT, Wedow, R, Wetherill, L, Wills, AG, Zhou, H, Boardman, JD, Chen, D, Choi, D S, Copeland, WE, Culverhouse, RC, Dahmen, N, Degenhardt, L, Domingue, BW, Frye, MA, Gäebel, W, Hayward, C, Ising, M, Keyes, M, Kiefer, F, Koller, G, Kramer, J (John), Kuperman, S, Lucae, S, Lynskey, MT, Maier, W, Mann, K, Männistö, S, Müller-Myhsok, B, Murray, AD, Nurnberger, JI, Preuss, U, Räikkönen, K, Reynolds, MD, Ridinger, M, Scherbaum, N, Schuckit, MA, Soyka, M, Treutlein, J, Witt, SH, Wodarz, N, Zill, P, Adkins, DE, Boomsma, DI, Bierut, LJ, Brown, S, Bucholz, KK, Costello, EJ, Wit, HJ, Diazgranados, N, Eriksson, JG, Farrer, LA, Foroud, TM, Gillespie, NA, Goate, AM, Goldman, D, Grucza, RA, Hancock, DB, Harris, KM, Hesselbrock, V, Hewitt, JK, Hopfer, CJ, Iacono, WG, Johnson, E O, Karpyak, VM, Kendler, KS, Kranzler, HR, Krauter, K, Lind, PA, McGue, M, MacKillop, J, Madden, PA, Maes, HH, Magnusson, PKE, Nelson, EC, Nöthen, MM, Palmer, AA, Penninx, BWJH, Porjesz, B, Rice, JP, Rietschel, M, Riley, BP, Rose, RJ, Shen, PH, Silberg, J, Stallings, MC, Tarter, RE, Vanyukov, MM, Vrieze, S, Wall, TL, Whitfield, JB, Zhao, H, Neale, BM, Wade, TD, Heath, AC, Montgomery, GW, Martin, NG, Sullivan, PF, Kaprio, J, Breen, G, Gelernter, J, Edenberg, HJ, Bulik, CM, and Agrawal, A

Abstract

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotyp

Published
2021

13. Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses

Author

Bos, Maxime, Goulding, NJ, Lee, MA, Hofman, Bert, Bot, M, Pool, R, Vijfhuizen, LS, Zhang, K, Li, CH, Mustafa, R, Neville, MJ, Li-Gao, R, Trompet, S, Beekman, M, Biermasz, NR, Boomsma, DI, Boer, I, Christodoulides, C, Dehghan, A, van Dijk, KW, Ford, I, Ghanbari, Mohsen, Heijmans, BT, Ikram, Arfan, Jukema, JW, Mook, Dennis, Karpe, F, Luik, Annemarie, Lumey, LH, van den Maagdenberg, A, Mooijaart, SP, de Mutsert, R, Penninx, B, Rensen, PCN, Richmond, Rebecca, Rosendaal, FR, Sattar, N, Schoevers, RA, Slagboom, PE, Terwindt, GM, Thesing, CS, Wade, KH, Wijsman, CA, Willemsen, G, Zwinderman, AH, van Heemst, D, Noordam, R, Lawlor, DA, Bos, Maxime, Goulding, NJ, Lee, MA, Hofman, Bert, Bot, M, Pool, R, Vijfhuizen, LS, Zhang, K, Li, CH, Mustafa, R, Neville, MJ, Li-Gao, R, Trompet, S, Beekman, M, Biermasz, NR, Boomsma, DI, Boer, I, Christodoulides, C, Dehghan, A, van Dijk, KW, Ford, I, Ghanbari, Mohsen, Heijmans, BT, Ikram, Arfan, Jukema, JW, Mook, Dennis, Karpe, F, Luik, Annemarie, Lumey, LH, van den Maagdenberg, A, Mooijaart, SP, de Mutsert, R, Penninx, B, Rensen, PCN, Richmond, Rebecca, Rosendaal, FR, Sattar, N, Schoevers, RA, Slagboom, PE, Terwindt, GM, Thesing, CS, Wade, KH, Wijsman, CA, Willemsen, G, Zwinderman, AH, van Heemst, D, Noordam, R, and Lawlor, DA

Abstract

Background: Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease. Methods: We used AMV (N = 17,368) combined with two-sample MR (N = 38,618) to examine effects of self-reported insomnia symptoms, total habitual sleep duration, and chronotype on 113 metabolomic traits. The AMV analyses were conducted on data from 10 cohorts of mostly Europeans, adjusted for age, sex, and body mass index. For the MR analyses, we used summary results from published European-ancestry genome-wide association studies of self-reported sleep traits and of nuclear magnetic resonance (NMR) serum metabolites. We used the inverse-variance weighted (IVW) method and complemented this with sensitivity analyses to assess MR assumptions. Results: We found consistent evidence from AMV and MR analyses for associations of usual vs. sometimes/rare/never insomnia symptoms with lower citrate (− 0.08 standard deviation (SD)[95% confidence interval (CI) − 0.12, − 0.03] in AMV and − 0.03SD [− 0.07, − 0.003] in MR), higher glycoprotein acetyls (0.08SD [95% CI 0.03, 0.12] in AMV and 0.06SD [0.03, 0.10) in MR]), lower total very large HDL particles (− 0.04SD [− 0.08, 0.00] in AMV and − 0.05SD [− 0.09, − 0.02] in MR), and lower phospholipids in very large HDL particles (− 0.04SD [− 0.08, 0.002] in AMV and − 0.05SD [− 0.08, − 0.02] in MR). Longer total sleep duration associated with higher creatinine concentrations using both methods (0.02SD per 1 h [0.01, 0.03] in AMV and 0.15SD [0.02, 0.29] in MR) and with isoleucine in MR analyses (0.22SD [0.08, 0.35]). No consistent evidence was observed for effects of chronotype on metabolomic measures.

Published
2021

14. Multicenter dizygotic twin cohort study confirms two linkage susceptibility loci for body mass index at 3q29 and 7q36 and identifies three further potential novel loci

Author

Kettunen, J, Perola, M, Martin, NG, Cornes, BK, Wilson, SG, Montgomery, GW, Benyamin, B, Harris, JR, Boomsma, D, Willemsen, G, Hottenga, J-J, Slagboom, PE, Christensen, K, Kyvik, KO, Sørensen, TIA, Pedersen, NL, Magnusson, PKE, Andrew, T, Spector, TD, Widen, E, Silventoinen, K, Kaprio, J, Palotie, A, and Peltonen, L

Published
2009
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15. Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI

Author

Meessen, J.M.T.A., Saberi-Hosnijeh, F., Bomer, N. (Nils), den Hollander, W, Bom, J.G., van Hilten, J.A., Spil, W.E. (Willem) van, So-Osman, C. (Cynthia), Uitterlinden, A.G. (André), Kloppenburg, M. (Margreet), Nelissen, R.G.H.H. (Rob), Duijn, C.M., Slagboom, PE, Meurs, J.B.J. (Joyce) van, Meulenbelt, I. (Ingrid), Meessen, J.M.T.A., Saberi-Hosnijeh, F., Bomer, N. (Nils), den Hollander, W, Bom, J.G., van Hilten, J.A., Spil, W.E. (Willem) van, So-Osman, C. (Cynthia), Uitterlinden, A.G. (André), Kloppenburg, M. (Margreet), Nelissen, R.G.H.H. (Rob), Duijn, C.M., Slagboom, PE, Meurs, J.B.J. (Joyce) van, and Meulenbelt, I. (Ingrid)

Published
2020
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16. Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length

Author

Li, C, Stoma, S, Lotta, LA, Warner, S, Albrecht, E, Allione, A, Arp, PP, Broer, L, Buxton, JL, Alves, ADSC, Deelen, J, Fedko, IO, Gordon, SD, Jiang, T, Karlsson, R, Kerrison, N, Loe, TK, Mangino, M, Milaneschi, Y, Miraglio, B, Pervjakova, N, Russo, A, Surakka, I, van der Spek, A, Verhoeven, JE, Amin, N, Beekman, M, Blakemore, A, Canzian, F, Hamby, SE, Hottenga, J-J, Jones, PD, Jousilahti, P, Magi, R, Medland, SE, Montgomery, GW, Nyholt, DR, Perola, M, Pietilainen, KH, Salomaa, V, Sillanpaa, E, Suchiman, HE, van Heemst, D, Willemsen, G, Agudo, A, Boeing, H, Boomsma, D, Chirlaque, M-D, Fagherazzi, G, Ferrari, P, Franks, P, Gieger, C, Eriksson, JG, Gunter, M, Hagg, S, Hovatta, I, Imaz, L, Kaprio, J, Kaaks, R, Key, T, Krogh, V, Martin, NG, Melander, O, Metspalu, A, Moreno, C, Onland-Moret, NC, Nilsson, P, Ong, KK, Overvad, K, Palli, D, Panico, S, Pedersen, NL, Penninx, BWJH, Ramon Quiros, J, Riitta Jarvelin, M, Rodriguez-Barranco, M, Scott, RA, Severi, G, Slagboom, PE, Spector, TD, Tjonneland, A, Trichopoulou, A, Tumino, R, Uitterlinden, AG, van der Schouw, YT, van Duijn, CM, Weiderpass, E, Denchi, EL, Matullo, G, Butterworth, AS, Danesh, J, Samani, NJ, Wareham, NJ, Nelson, CP, Langenberg, C, Codd, V, Li, C, Stoma, S, Lotta, LA, Warner, S, Albrecht, E, Allione, A, Arp, PP, Broer, L, Buxton, JL, Alves, ADSC, Deelen, J, Fedko, IO, Gordon, SD, Jiang, T, Karlsson, R, Kerrison, N, Loe, TK, Mangino, M, Milaneschi, Y, Miraglio, B, Pervjakova, N, Russo, A, Surakka, I, van der Spek, A, Verhoeven, JE, Amin, N, Beekman, M, Blakemore, A, Canzian, F, Hamby, SE, Hottenga, J-J, Jones, PD, Jousilahti, P, Magi, R, Medland, SE, Montgomery, GW, Nyholt, DR, Perola, M, Pietilainen, KH, Salomaa, V, Sillanpaa, E, Suchiman, HE, van Heemst, D, Willemsen, G, Agudo, A, Boeing, H, Boomsma, D, Chirlaque, M-D, Fagherazzi, G, Ferrari, P, Franks, P, Gieger, C, Eriksson, JG, Gunter, M, Hagg, S, Hovatta, I, Imaz, L, Kaprio, J, Kaaks, R, Key, T, Krogh, V, Martin, NG, Melander, O, Metspalu, A, Moreno, C, Onland-Moret, NC, Nilsson, P, Ong, KK, Overvad, K, Palli, D, Panico, S, Pedersen, NL, Penninx, BWJH, Ramon Quiros, J, Riitta Jarvelin, M, Rodriguez-Barranco, M, Scott, RA, Severi, G, Slagboom, PE, Spector, TD, Tjonneland, A, Trichopoulou, A, Tumino, R, Uitterlinden, AG, van der Schouw, YT, van Duijn, CM, Weiderpass, E, Denchi, EL, Matullo, G, Butterworth, AS, Danesh, J, Samani, NJ, Wareham, NJ, Nelson, CP, Langenberg, C, and Codd, V

Abstract

Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.

Published
2020

17. Serum fatty acid chain length associates with prevalent symptomatic end-stage osteoarthritis, independent of BMI

Author

Meessen, JMTA, Saberi Hosnijeh, Fatemeh, Bomer, N, den Hollander, W, Bom, Josine, van Hilten, JA, van Spil, WE, So-Osman, C, Uitterlinden, André, Kloppenburg, M, Nelissen, RGHH, Duijn, Cornelia, Slagboom, PE, van Meurs, Joyce, Meulenbelt, I, Meessen, JMTA, Saberi Hosnijeh, Fatemeh, Bomer, N, den Hollander, W, Bom, Josine, van Hilten, JA, van Spil, WE, So-Osman, C, Uitterlinden, André, Kloppenburg, M, Nelissen, RGHH, Duijn, Cornelia, Slagboom, PE, van Meurs, Joyce, and Meulenbelt, I

Published
2020

18. Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference

Author

Hop, PJ, Luijk, R, Daxinger, L, van Iterson, M, Dekkers, K F, Jansen, R, van Meurs, Joyce, 't Hoen, PAC, Ikram, Arfan, van Greevenbroek, MMJ, Boomsma, DI, Slagboom, PE, Veldink, JH, van Zwet, EW, Heijmans, BT, Hop, PJ, Luijk, R, Daxinger, L, van Iterson, M, Dekkers, K F, Jansen, R, van Meurs, Joyce, 't Hoen, PAC, Ikram, Arfan, van Greevenbroek, MMJ, Boomsma, DI, Slagboom, PE, Veldink, JH, van Zwet, EW, and Heijmans, BT

Published
2020

21. Association of common genetic variants with brain microbleeds: A genome-wide association study

Author

Knol, Maria, Lu, Difei, Traylor, M, Adams, Hieab, Romero, JR, Smith, AV, Fornage, M, Hofer, E, Liu, Jun, Hostettler, IC, Luciano, M, Trompet, S, Giese, A K, Hilal, S, van den Akker, EB, Vojinovic, Dina, Li, S, Sigurdsson, S, van der Lee, Sven, Jack, CR, Wilson, D, Yilmaz, Pinar, Satizabal, CL, Liewald, DCM, van der Grond, J, Chen, C, Saba, Y, van der Lugt, Aad, Bastin, ME, Windham, BG, Cheng, CY (Ching-Yu), Pirpamer, L, Kantarci, K, Himali, JJ, Yang, Q, Morris, Z, Beiser, AS, Tozer, DJ, Vernooij, Meike, Amin, Najaf, Beekman, M, Koh, JY, Stott, DJM, Houlden, H, Schmidt, R, Gottesman, RF, MacKinnon, AD, DeCarli, C, Gudnason, V, Deary, IJ, Duijn, Cornelia, Slagboom, PE, Wong, TY, Rost, NS, Jukema, JW, Mosley, TH, Jr, Werring, DJ, Schmidt, H, Wardlaw, JM, Ikram, Arfan, Seshadri, S, Launer, LJ, Markus, HS, Knol, Maria, Lu, Difei, Traylor, M, Adams, Hieab, Romero, JR, Smith, AV, Fornage, M, Hofer, E, Liu, Jun, Hostettler, IC, Luciano, M, Trompet, S, Giese, A K, Hilal, S, van den Akker, EB, Vojinovic, Dina, Li, S, Sigurdsson, S, van der Lee, Sven, Jack, CR, Wilson, D, Yilmaz, Pinar, Satizabal, CL, Liewald, DCM, van der Grond, J, Chen, C, Saba, Y, van der Lugt, Aad, Bastin, ME, Windham, BG, Cheng, CY (Ching-Yu), Pirpamer, L, Kantarci, K, Himali, JJ, Yang, Q, Morris, Z, Beiser, AS, Tozer, DJ, Vernooij, Meike, Amin, Najaf, Beekman, M, Koh, JY, Stott, DJM, Houlden, H, Schmidt, R, Gottesman, RF, MacKinnon, AD, DeCarli, C, Gudnason, V, Deary, IJ, Duijn, Cornelia, Slagboom, PE, Wong, TY, Rost, NS, Jukema, JW, Mosley, TH, Jr, Werring, DJ, Schmidt, H, Wardlaw, JM, Ikram, Arfan, Seshadri, S, Launer, LJ, and Markus, HS

Published
2020

23. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa

Author

Watson HJ, Yilmaz Z, Thornton LM, Hübel C, Coleman JRI, Gaspar HA, Bryois J, Hinney A, Leppä VM, Mattheisen M, Medland SE, Ripke S, Yao S, Giusti-Rodríguez P, Anorexia Nervosa Genetics Initiative, Hanscombe KB, Purves KL, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Adan RAH, Alfredsson L, Ando T, Andreassen OA, Baker JH, Berrettini WH, Boehm I, Boni C, Perica VB, Buehren K, Burghardt R, Cassina M, Cichon S, Clementi M, Cone RD, Courtet P, Crow S, Crowley JJ, Danner UN, Davis OSP, de Zwaan M, Dedoussis G, Degortes D, DeSocio JE, Dick DM, Dikeos D, Dina C, Dmitrzak-Weglarz M, Docampo E, Duncan LE, Egberts K, Ehrlich S, Escaramís G, Esko T, Estivill X, Farmer A, Favaro A, Fernández-Aranda F, Fichter MM, Fischer K, Föcker M, Foretova L, Forstner AJ, Forzan M, Franklin CS, Gallinger S, Giegling I, Giuranna J, Gonidakis F, Gorwood P, Mayora MG, Guillaume S, Guo Y, Hakonarson H, Hatzikotoulas K, Hauser J, Hebebrand J, Helder SG, Herms S, Herpertz-Dahlmann B, Herzog W, Huckins LM, Hudson JI, Imgart H, Inoko H, Janout V, Jiménez-Murcia S, Julià A, Kalsi G, Kaminská D, Kaprio J, Karhunen L, Karwautz A, Kas MJH, Kennedy JL, Keski-Rahkonen A, Kiezebrink K, Kim YR, Klareskog L, Klump KL, Knudsen GPS, La Via MC, Le Hellard S, Levitan RD, Li D, Lilenfeld L, Lin BD, Lissowska J, Luykx J, Magistretti PJ, Maj M, Mannik K, Marsal S, Marshall CR, Mattingsdal M, McDevitt S, McGuffin P, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Monteleone AM, Monteleone P, Munn-Chernoff MA, Nacmias B, Navratilova M, Ntalla I, O'Toole JK, Ophoff RA, Padyukov L, Palotie A, Pantel J, Papezova H, Pinto D, Raquel Rabionet Janssen, Raevuori A, Ramoz N, Reichborn-Kjennerud T, Ricca V, Ripatti S, Ritschel F, Roberts M, Rotondo A, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer SW, Schmidt U, Schork NJ, Schosser A, Seitz J, Slachtova L, Slagboom PE, Slof-Op 't Landt MCT, Slopien A, Sorbi S, Swiatkowska B, Szatkiewicz JP, Tachmazidou I, Tenconi E, Tortorella A, Tozzi F, Treasure J, Tsitsika A, Tyszkiewicz-Nwafor M, Tziouvas K, van Elburg AA, van Furth EF, Wagner G, Walton E, Widen E, Zeggini E, Zerwas S, Zipfel S, Bergen AW, Boden JM, Brandt H, Crawford S, Halmi KA, Horwood LJ, Johnson C, Kaplan AS, Kaye WH, Mitchell JE, Olsen CM, Pearson JF, Pedersen NL, Strober M, Werge T, Whiteman DC, Woodside DB, Stuber GD, Gordon S, Grove J, Henders AK, Juréus A, Kirk KM, Larsen JT, Parker R, Petersen L, Jordan J, Kennedy M, Montgomery GW, Wade TD, Birgegård A, Lichtenstein P, Norring C, Landén M, Martin NG, Mortensen PB, Sullivan PF, Breen G, and Bulik CM

Subjects
mental disorders
Abstract

Characterized primarily by a low body-mass index, anorexia nervosa is a complex and serious illness 1 , affecting 0.9-4% of women and 0.3% of men 2-4 , with twin-based heritability estimates of 50-60% 5 . Mortality rates are higher than those in other psychiatric disorders 6 , and outcomes are unacceptably poor 7 . Here we combine data from the Anorexia Nervosa Genetics Initiative (ANGI) 8,9 and the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED) and conduct a genome-wide association study of 16,992 cases of anorexia nervosa and 55,525 controls, identifying eight significant loci. The genetic architecture of anorexia nervosa mirrors its clinical presentation, showing significant genetic correlations with psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits, independent of the effects of common variants associated with body-mass index. These results further encourage a reconceptualization of anorexia nervosa as a metabo-psychiatric disorder. Elucidating the metabolic component is a critical direction for future research, and paying attention to both psychiatric and metabolic components may be key to improving outcomes.

Published
2019

24. Large-scale plasma metabolome analysis reveals alterations in HDL metabolism in migraine

Author

Onderwater, GLJ, Ligthart, L, Bot, M, Demirkan, A, Fu, J, Van Der Kallen, CJH, Vijfhuizen, LS, Pool, R, Liu, J, Vanmolkot, FHM, Beekman, M, Wen, K-X, Amin, N, Thesing, CS, Pijpers, JA, Kies, DA, Zielman, R, De Boer, I, Van Greevenbroek, MMJ, Arts, ICW, Milaneschi, Y, Schram, MT, Dagnelie, PC, Franke, L, Ikram, MA, Ferrari, MD, Goeman, JJ, Slagboom, PE, Wijmenga, C, Stehouwer, CDA, Boomsma, DI, Van Duijn, CM, Penninx, BW, Hoen, PAC, Terwindt, GM, Van Den Maagdenberg, AMJM, Consortium, Bbmri Metabolomics, Epidemiology, Neurology, Radiology & Nuclear Medicine, Interne Geneeskunde, RS: CARIM - R3 - Vascular biology, MUMC+: MA Alg Interne Geneeskunde (9), Epidemiologie, RS: FHML MaCSBio, RS: FSE MaCSBio, RS: FPN MaCSBio, MUMC+: HVC Pieken Maastricht Studie (9), RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, MUMC+: MA Interne Geneeskunde (3), RS: Carim - V01 Vascular complications of diabetes and metabolic syndrome, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: CAPHRI - R5 - Optimising Patient Care, MUMC+: MA Endocrinologie (9), MUMC+: MA Maag Darm Lever (9), MUMC+: MA Hematologie (9), MUMC+: MA Medische Oncologie (9), MUMC+: MA Nefrologie (9), MUMC+: MA Reumatologie (9), APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, APH - Digital Health, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Biological Psychology, APH - Personalized Medicine, and APH - Health Behaviors & Chronic Diseases

Subjects
Male, Metabolite, Proton Magnetic Resonance Spectroscopy, Pharmacology, Cohort Studies, chemistry.chemical_compound, 0302 clinical medicine, EPIDEMIOLOGY, 0303 health sciences, biology, GLOBAL TEST, ASSOCIATION, Middle Aged, CARDIOVASCULAR-DISEASE, Meta-analysis, Metabolome, Apolipoprotein A1, Female, Lipoproteins, HDL, Adult, medicine.medical_specialty, Migraine Disorders, BIOMARKERS, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, LIPOPROTEINS, Metabolomics, Sex Factors, SDG 3 - Good Health and Well-being, Internal medicine, Fatty Acids, Omega-3, medicine, Humans, Nuclear Magnetic Resonance, Biomolecular, 030304 developmental biology, Aged, business.industry, medicine.disease, Confidence interval, Endocrinology, chemistry, Migraine, Metabolite profiling, biology.protein, RISK-FACTORS, Neurology (clinical), business, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19], 030217 neurology & neurosurgery, Lipoprotein
Abstract

ObjectiveTo identify a plasma metabolomic biomarker signature for migraine.MethodsPlasma samples from 8 Dutch cohorts (n = 10,153: 2,800 migraine patients and 7,353 controls) were profiled on a 1H-NMR-based metabolomics platform, to quantify 146 individual metabolites (e.g., lipids, fatty acids, and lipoproteins) and 79 metabolite ratios. Metabolite measures associated with migraine were obtained after single-metabolite logistic regression combined with a random-effects meta-analysis performed in a nonstratified and sex-stratified manner. Next, a global test analysis was performed to identify sets of related metabolites associated with migraine. The Holm procedure was applied to control the family-wise error rate at 5% in single-metabolite and global test analyses.ResultsDecreases in the level of apolipoprotein A1 (β −0.10; 95% confidence interval [CI] −0.16, −0.05; adjusted p = 0.029) and free cholesterol to total lipid ratio present in small high-density lipoprotein subspecies (HDL) (β −0.10; 95% CI −0.15, −0.05; adjusted p = 0.029) were associated with migraine status. In addition, only in male participants, a decreased level of omega-3 fatty acids (β −0.24; 95% CI −0.36, −0.12; adjusted p = 0.033) was associated with migraine. Global test analysis further supported that HDL traits (but not other lipoproteins) were associated with migraine status.ConclusionsMetabolic profiling of plasma yielded alterations in HDL metabolism in migraine patients and decreased omega-3 fatty acids only in male migraineurs.

Published
2019
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25. Defining the role of common variation in the genomic and biological architecture of adult human height

Author

Wood, Ar, Esko, T, Yang, J, Vedantam, S, Pers, Th, Gustafsson, S, Chu, Ay, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, Ml, Croteau Chonka DC, Day, Fr, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, Au, Karjalainen, J, Lo, Ks, Locke, Ae, Mägi, R, Mihailov, E, Porcu, E, Randall, Jc, Scherag, A, Vinkhuyzen, Aa, Westra, Hj, Winkler, Tw, Workalemahu, T, Zhao, Jh, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, Gb, Feenstra, B, Feitosa, Mf, Fischer, K, Fraser, Rm, Goel, A, Gong, J, Justice, Ae, Kanoni, S, Kleber, Me, Kristiansson, K, Lim, U, Lotay, V, Lui, Jc, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, Ma, Nyholt, Dr, Palmer, Cd, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, Js, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, Rj, Sung, Yj, Tanaka, T, Teumer, A, Trompet, S, van der Laan SW, van Setten, J, Van Vliet Ostaptchouk JV, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Arnlöv, J, Arscott, Gm, Bandinelli, S, Barrett, A, Bellis, C, Bennett, Aj, Berne, C, Blüher, M, Bolton, Jl, Böttcher, Y, Boyd, Ha, Bruinenberg, M, Buckley, Bm, Buyske, S, Caspersen, Ih, Chines, Ps, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, Ew, De Jong PA, Deelen, J, Delgado, G, Denny, Jc, Dhonukshe Rutten, R, Dimitriou, M, Doney, As, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, Me, Geller, F, Giedraitis, V, Go, As, Grallert, H, Grammer, Tb, Gräßler, J, Grönberg, H, de Groot LC, Groves, Cj, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hannemann, A, Hartman, Ca, Hassinen, M, Hayward, C, Heard Costa NL, Helmer, Q, Hemani, G, Henders, Ak, Hillege, Hl, Hlatky, Ma, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat JJ, Illig, T, Isaacs, A, James, Al, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, An, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, Pk, Mahajan, A, Maillard, M, Mcardle, Wl, Mckenzie, Ca, Mclachlan, S, Mclaren, Pj, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, Kl, Morken, Ma, Müller, G, Müller Nurasyid, M, Musk, Aw, Narisu, N, Nauck, M, Nolte, Im, Nöthen, Mm, Oozageer, L, Pilz, S, Rayner, Nw, Renstrom, F, Robertson, Nr, Rose, Lm, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, Fr, Schunkert, H, Scott, Ra, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, Jh, Smith, Av, Smolonska, J, Stanton, Av, Stirrups, K, Stott, Dj, Stringham, Hm, Sundström, J, Swertz, Ma, Syvänen, Ac, Tayo, Bo, Thorleifsson, G, Tyrer, Jp, van Dijk, S, van Schoor NM, van der Velde, N, van Heemst, D, van Oort FV, Vermeulen, Sh, Verweij, N, Vonk, Jm, Waite, Ll, Waldenberger, M, Wennauer, R, Wilkens, Lr, Willenborg, C, Wilsgaard, T, Wojczynski, Mk, Wong, A, Wright, Af, Zhang, Q, Arveiler, D, Bakker, Sj, Beilby, J, Bergman, Rn, Bergmann, S, Biffar, R, Blangero, J, Boomsma, Di, Bornstein, Sr, Bovet, P, Brambilla, P, Brown, Mj, Campbell, H, Caulfield, Mj, Chakravarti, A, Collins, R, Collins, Fs, Crawford, Dc, Cupples, La, Danesh, J, de Faire, U, den Ruijter HM, Erbel, R, Erdmann, J, Eriksson, Jg, Farrall, M, Ferrannini, Eleuterio, Ferrières, J, Ford, I, Forouhi, Ng, Forrester, T, Gansevoort, Rt, Gejman, Pv, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, Dw, Hall, As, Harris, Tb, Hattersley, At, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hindorff, La, Hingorani, Ad, Hofman, A, Hovingh, Gk, Humphries, Se, Hunt, Sc, Hypponen, E, Jacobs, Kb, Jarvelin, Mr, Jousilahti, P, Jula, Am, Kaprio, J, Kastelein, Jj, Kayser, M, Kee, F, Keinanen Kiukaanniemi SM, Kiemeney, La, Kooner, Js, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, At, Kumari, M, Kuusisto, J, Lakka, Ta, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, Pa, Männistö, S, Manunta, P, Marette, A, Matise, Tc, Mcknight, B, Meitinger, T, Moll, Fl, Montgomery, Gw, Morris, Ad, Morris, Ap, Murray, Jc, Nelis, M, Ohlsson, C, Oldehinkel, Aj, Ong, Kk, Ouwehand, Wh, Pasterkamp, G, Peters, A, Pramstaller, Pp, Price, Jf, Qi, L, Raitakari, Ot, Rankinen, T, Rao, Dc, Rice, Tk, Ritchie, M, Rudan, I, Salomaa, V, Samani, Nj, Saramies, J, Sarzynski, Ma, Schwarz, Pe, Sebert, S, Sever, P, Shuldiner, Ar, Sinisalo, J, Steinthorsdottir, V, Stolk, Rp, Tardif, Jc, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, Mc, Electronic Medical Records, Genomics, Consortium, Migen, Consortium, Pagege, Consortium, LifeLines Cohort Study, Amouyel, P, Asselbergs, Fw, Assimes, Tl, Bochud, M, Boehm, Bo, Boerwinkle, E, Bottinger, Ep, Bouchard, C, Cauchi, S, Chambers, Jc, Chanock, Sj, Cooper, Rs, de Bakker PI, Dedoussis, G, Ferrucci, L, Franks, Pw, Froguel, P, Groop, Lc, Haiman, Ca, Hamsten, A, Hayes, Mg, Hui, J, Hunter, Dj, Hveem, K, Jukema, Jw, Kaplan, Rc, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, Ng, März, W, Melbye, M, Moebus, S, Munroe, Pb, Njølstad, I, Oostra, Ba, Palmer, Cn, Pedersen, Nl, Perola, M, Pérusse, L, Peters, U, Powell, Je, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, Pm, Rivadeneira, F, Rotter, Ji, Saaristo, Te, Saleheen, D, Schlessinger, D, Slagboom, Pe, Snieder, H, Spector, Td, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, Nj, Watkins, H, Wichmann, He, Wilson, Jf, Zanen, P, Deloukas, P, Heid, Im, Lindgren, Cm, Mohlke, Kl, Speliotes, Ek, Thorsteinsdottir, U, Barroso, I, Fox, Cs, North, Ke, Strachan, Dp, Beckmann, Js, Berndt, Si, Boehnke, M, Borecki, Ib, Mccarthy, Mi, Metspalu, A, Stefansson, K, Uitterlinden, Ag, van Duijn CM, Franke, L, Willer, Cj, Price, Al, Lettre, G, Loos, Rj, Weedon, Mn, Ingelsson, E, O'Connell, Jr, Abecasis, Gr, Chasman, Di, Goddard, Me, Visscher, Pm, Hirschhorn, Jn, Frayling, T. M., Isotope Research, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Cardiovascular Centre (CVC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Groningen Research Institute for Asthma and COPD (GRIAC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Ehret, Georg Benedikt, Wood, A, Esko, T, Yang, J, Vedantam, S, Pers, T, Gustafsson, S, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, A, Karjalainen, J, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Westra, H, Winkler, T, 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Schoor N.M., Van Der Velde N., Van Heemst D., Van Oort F.V.A., Vermeulen S.H., Verweij N., Vonk J.M., Waite L.L., Waldenberger M., Wennauer R., Wilkens L.R., Willenborg C., Wilsgaard T., Wojczynski M.K., Wong A., Wright A.F., Zhang Q., Arveiler D., Bakker S.J.L., Beilby J., Bergman R.N., Bergmann S., Biffar R., Blangero J., Boomsma D.I., Bornstein S.R., Bovet P., Brambilla P., Brown M.J., Campbell H., Caulfield M.J., Chakravarti A., Collins R., Collins F.S., Crawford D.C., Cupples L.A., Danesh J., De Faire U., Den Ruijter H.M., Erbel R., Erdmann J., Eriksson J.G., Farrall M., Ferrannini E., Ferrieres J., Ford I., Forouhi N.G., Forrester T., Gansevoort R.T., Gejman P.V., Gieger C., Golay A., Gottesman O., Gudnason V., Gyllensten U., Haas D.W., Hall A.S., Harris T.B., Hattersley A.T., Heath A.C., Hengstenberg C., Hicks A.A., Hindorff L.A., Hingorani A.D., Hofman A., Hovingh G.K., Humphries S.E., Hunt S.C., Hypponen E., Jacobs K.B., Jarvelin M.-R., Jousilahti P., Jula A.M., Kaprio J., Kastelein J.J.P., Kayser M., Kee F., Keinanen-Kiukaanniemi S.M., Kiemeney L.A., Kooner J.S., Kooperberg C., Koskinen S., Kovacs P., Kraja A.T., Kumari M., Kuusisto J., Lakka T.A., Langenberg C., Le Marchand L., Lehtimaki T., Lupoli S., Madden P.A.F., Mannisto S., Manunta P., Marette A., Matise T.C., McKnight B., Meitinger T., Moll F.L., Montgomery G.W., Morris A.D., Morris A.P., Murray J.C., Nelis M., Ohlsson C., Oldehinkel A.J., Ong K.K., Ouwehand W.H., Pasterkamp G., Peters A., Pramstaller P.P., Price J.F., Qi L., Raitakari O.T., Rankinen T., Rao D.C., Rice T.K., Ritchie M., Rudan I., Salomaa V., Samani N.J., Saramies J., Sarzynski M.A., Schwarz P.E.H., Sebert S., Sever P., Shuldiner A.R., Sinisalo J., Steinthorsdottir V., Stolk R.P., Tardif J.-C., Tonjes A., Tremblay A., Tremoli E., Virtamo J., Vohl M.-C., Amouyel P., Asselbergs F.W., Assimes T.L., Bochud M., Boehm B.O., Boerwinkle E., Bottinger E.P., Bouchard C., Cauchi S., Chambers J.C., Chanock S.J., Cooper R.S., De Bakker P.I.W., Dedoussis G., Ferrucci L., Franks P.W., Froguel P., Groop L.C., Haiman C.A., Hamsten A., Hayes M.G., Hui J., Hunter D.J., Hveem K., Jukema J.W., Kaplan R.C., Kivimaki M., Kuh D., Laakso M., Liu Y., Martin N.G., Marz W., Melbye M., Moebus S., Munroe P.B., Njolstad I., Oostra B.A., Palmer C.N.A., Pedersen N.L., Perola M., Perusse L., Peters U., Powell J.E., Power C., Quertermous T., Rauramaa R., Reinmaa E., Ridker P.M., Rivadeneira F., Rotter J.I., Saaristo T.E., Saleheen D., Schlessinger D., Slagboom P.E., Snieder H., Spector T.D., Strauch K., Stumvoll M., Tuomilehto J., Uusitupa M., Van Der Harst P., Volzke H., Walker M., Wareham N.J., Watkins H., Wichmann H.-E., Wilson J.F., Zanen P., Deloukas P., Heid I.M., Lindgren C.M., Mohlke K.L., Speliotes E.K., Thorsteinsdottir U., Barroso I., Fox C.S., North K.E., Strachan D.P., Beckmann J.S., Berndt S.I., Boehnke M., Borecki I.B., McCarthy M.I., Metspalu A., Stefansson K., Uitterlinden A.G., Van Duijn C.M., Franke L., Willer C.J., Price A.L., Lettre G., Loos R.J.F., Weedon M.N., Ingelsson E., O'Connell J.R., Abecasis G.R., Chasman D.I., Goddard M.E., Visscher P.M., Hirschhorn J.N., and Frayling T.M.

Subjects
Netherlands Twin Register (NTR), BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Electronic Medical Records and Genomics (eMEMERGEGE) Consortium, Medizin, Genome-wide association study, Adult, Analysis of Variance, Body Height/genetics, European Continental Ancestry Group/genetics, Genetic Variation/genetics, Genetics, Population, Genome-Wide Association Study/methods, Humans, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide/genetics, heritability, 0302 clinical medicine, Genome-wide, SNPS, snps, Genetics & Heredity, ddc:616, Genetics, Medical And Health Sciences, 0303 health sciences, education.field_of_study, variants, GENETIC-VARIATION, Biological Sciences, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], body height, genetic-variation, Life Sciences & Biomedicine, Single Nucleotide/genetics, Human, European Continental Ancestry Group, Population, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, NO, complex traits, 03 medical and health sciences, Genetic variation, heritability, adult, height, Polymorphism, Human height, PAGEGE Consortium, education, Gene, VLAG, 030304 developmental biology, Global Nutrition, Wereldvoeding, genome-wide association study, Science & Technology, Whites, Oligonucleotide Array Sequence Analysi, MUTATIONS, COMPLEX TRAITS, ta1184, Klinisk medicin, population genetics, Genetic Variation, Heritability, ta3121, mutations, Genetic architecture, Body Height, genetic variation, MIGen Consortium, Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5], Clinical Medicine, 030217 neurology & neurosurgery, height, LifeLines Cohort Study, Developmental Biology, Genome-Wide Association Study
Abstract

Item does not contain fulltext Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated approximately 2,000, approximately 3,700 and approximately 9,500 SNPs explained approximately 21%, approximately 24% and approximately 29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

Published
2014
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27. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author

Chauhan, G, Adams, HHH, Satizabal, CL, Bis, JC, Teumer, A, Sargurupremraj, M, Hofer, E, Trompet, S, Hilal, S, Smith, AV, Jian, X, Malik, R, Traylor, M, Pulit, SL, Amouyel, P, Mazoyer, B, Zhu, YC, Kaffashian, S, Schilling, S, Beecham, GW, Montine, TJ, Schellenberg, GD, Kjartansson, O, Guðnason, V, Knopman, DS, Griswold, ME, Windham, BG, Gottesman, RF, Mosley, TH, Schmidt, R, Saba, Y, Schmidt, H, Takeuchi, F, Yamaguchi, S, Nabika, T, Kato, N, Rajan, KB, Aggarwal, NT, De Jager, PL, Evans, DA, Psaty, BM, Rotter, JI, Rice, K, Lopez, OL, Liao, J, Chen, C, Cheng, CY, Wong, TY, Ikram, MK, van der Lee, SJ, Amin, N, Chouraki, V, Destefano, AL, Aparicio, HJ, Romero, JR, Maillard, P, Decarli, C, Wardlaw, JM, Del C. Valdés Hernández, M, Luciano, M, Liewald, D, Deary, IJ, Starr, JM, Bastin, ME, Maniega, SM, Slagboom, PE, Beekman, M, Deelen, J, Uh, HW, Lemmens, R, Brodaty, H, Wright, MJ, Ames, D, Boncoraglio, GB, Hopewell, JC, Beecham, AH, Blanton, SH, Wright, CB, Sacco, RL, Wen, W, Thalamuthu, A, Armstrong, NJ, Chong, E, Schofield, PR, Kwok, JB, van der Grond, J, Stott, DJ, Ford, I, Jukema, JW, Vernooij, MW, Hofman, A, Uitterlinden, AG, van der Lugt, A, Wittfeld, K, Grabe, HJ, Hosten, N, von Sarnowski, B, Völker, U, Levi, C, Jimenez-Conde, J, Chauhan, G, Adams, HHH, Satizabal, CL, Bis, JC, Teumer, A, Sargurupremraj, M, Hofer, E, Trompet, S, Hilal, S, Smith, AV, Jian, X, Malik, R, Traylor, M, Pulit, SL, Amouyel, P, Mazoyer, B, Zhu, YC, Kaffashian, S, Schilling, S, Beecham, GW, Montine, TJ, Schellenberg, GD, Kjartansson, O, Guðnason, V, Knopman, DS, Griswold, ME, Windham, BG, Gottesman, RF, Mosley, TH, Schmidt, R, Saba, Y, Schmidt, H, Takeuchi, F, Yamaguchi, S, Nabika, T, Kato, N, Rajan, KB, Aggarwal, NT, De Jager, PL, Evans, DA, Psaty, BM, Rotter, JI, Rice, K, Lopez, OL, Liao, J, Chen, C, Cheng, CY, Wong, TY, Ikram, MK, van der Lee, SJ, Amin, N, Chouraki, V, Destefano, AL, Aparicio, HJ, Romero, JR, Maillard, P, Decarli, C, Wardlaw, JM, Del C. Valdés Hernández, M, Luciano, M, Liewald, D, Deary, IJ, Starr, JM, Bastin, ME, Maniega, SM, Slagboom, PE, Beekman, M, Deelen, J, Uh, HW, Lemmens, R, Brodaty, H, Wright, MJ, Ames, D, Boncoraglio, GB, Hopewell, JC, Beecham, AH, Blanton, SH, Wright, CB, Sacco, RL, Wen, W, Thalamuthu, A, Armstrong, NJ, Chong, E, Schofield, PR, Kwok, JB, van der Grond, J, Stott, DJ, Ford, I, Jukema, JW, Vernooij, MW, Hofman, A, Uitterlinden, AG, van der Lugt, A, Wittfeld, K, Grabe, HJ, Hosten, N, von Sarnowski, B, Völker, U, Levi, C, and Jimenez-Conde, J

Abstract

Objective To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n=20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p[BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p[BI]= 4.4 × 10-10; p [SSBI] = 1.2 × 10 -4), diabetes (p[BI] = 1.7 × 10 -8; p [SSBI] = 2.8 × 10 -3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10 -24), and MRI-defined white matter hyperintensity burden (p [BI]=1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significan

Published
2019

28. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes.

Author

van der Lee, SJ, Knol, MJ, Chauhan, G, Satizabal, CL, Smith, AV, Hofer, E, Bis, JC, Hibar, DP, Hilal, S, van den Akker, EB, Arfanakis, K, Bernard, M, Yanek, LR, Amin, N, Crivello, F, Cheung, JW, Harris, TB, Saba, Y, Lopez, OL, Li, S, van der Grond, J, Yu, L, Paus, T, Roshchupkin, GV, Amouyel, P, Jahanshad, N, Taylor, KD, Yang, Q, Mathias, RA, Boehringer, S, Mazoyer, B, Rice, K, Cheng, CY, Maillard, P, van Heemst, D, Wong, TY, Niessen, WJ, Beiser, AS, Beekman, M, Zhao, W, Nyquist, PA, Chen, C, Launer, LJ, Psaty, BM, Ikram, MK, Vernooij, MW, Schmidt, H, Pausova, Z, Becker, DM, De Jager, PL, Thompson, PM, van Duijn, CM, Bennett, DA, Slagboom, PE, Schmidt, R, Longstreth, WT, Ikram, MA, Seshadri, S, Debette, S, Gudnason, V, Adams, HHH, DeCarli, C, van der Lee, SJ, Knol, MJ, Chauhan, G, Satizabal, CL, Smith, AV, Hofer, E, Bis, JC, Hibar, DP, Hilal, S, van den Akker, EB, Arfanakis, K, Bernard, M, Yanek, LR, Amin, N, Crivello, F, Cheung, JW, Harris, TB, Saba, Y, Lopez, OL, Li, S, van der Grond, J, Yu, L, Paus, T, Roshchupkin, GV, Amouyel, P, Jahanshad, N, Taylor, KD, Yang, Q, Mathias, RA, Boehringer, S, Mazoyer, B, Rice, K, Cheng, CY, Maillard, P, van Heemst, D, Wong, TY, Niessen, WJ, Beiser, AS, Beekman, M, Zhao, W, Nyquist, PA, Chen, C, Launer, LJ, Psaty, BM, Ikram, MK, Vernooij, MW, Schmidt, H, Pausova, Z, Becker, DM, De Jager, PL, Thompson, PM, van Duijn, CM, Bennett, DA, Slagboom, PE, Schmidt, R, Longstreth, WT, Ikram, MA, Seshadri, S, Debette, S, Gudnason, V, Adams, HHH, and DeCarli, C

Abstract

Brain lobar volumes are heritable but genetic studies are limited. We performed genome-wide association studies of frontal, occipital, parietal and temporal lobe volumes in 16,016 individuals, and replicated our findings in 8,789 individuals. We identified six genetic loci associated with specific lobar volumes independent of intracranial volume. Two loci, associated with occipital (6q22.32) and temporal lobe volume (12q14.3), were previously reported to associate with intracranial and hippocampal volume, respectively. We identified four loci previously unknown to affect brain volumes: 3q24 for parietal lobe volume, and 1q22, 4p16.3 and 14q23.1 for occipital lobe volume. The associated variants were located in regions enriched for histone modifications (DAAM1 and THBS3), or close to genes causing Mendelian brain-related diseases (ZIC4 and FGFRL1). No genetic overlap between lobar volumes and neurological or psychiatric diseases was observed. Our findings reveal part of the complex genetics underlying brain development and suggest a role for regulatory regions in determining brain volumes.

Published
2019

29. Validated inference of smoking habits from blood with a finite DNA methylation marker set

Author

Maas, Silvana, Vidaki, Athina, Wilson, R, Teumer, A, Liu, Fan, van Meurs, Joyce, Uitterlinden, André, Boomsma, DI, de Geus, ECJ, Willemsen, G, Dongen, J, van der Kallen, CJH, Slagboom, PE, Beekman, M, van Heemst, D, van den Berg, LH, Duijts, Liesbeth, Jaddoe, Vincent, Ladwig, KH, Kunze, S, Peters, A, Ikram, Arfan, Grabe, HJ, Felix, Janine, Waldenberger, M, Franco Duran, OH, Ghanbari, Mohsen, Kayser, Manfred, Maas, Silvana, Vidaki, Athina, Wilson, R, Teumer, A, Liu, Fan, van Meurs, Joyce, Uitterlinden, André, Boomsma, DI, de Geus, ECJ, Willemsen, G, Dongen, J, van der Kallen, CJH, Slagboom, PE, Beekman, M, van Heemst, D, van den Berg, LH, Duijts, Liesbeth, Jaddoe, Vincent, Ladwig, KH, Kunze, S, Peters, A, Ikram, Arfan, Grabe, HJ, Felix, Janine, Waldenberger, M, Franco Duran, OH, Ghanbari, Mohsen, and Kayser, Manfred

Published
2019

30. Metabolomics reveals a link between homocysteine and lipid metabolism and leukocyte telomere length: the ENGAGE consortium

Author

van der Spek, Ashley, Broer, Linda, Draisma, HHM, Pool, R, Albrecht, E, Beekman, M, Mangino, M, Raag, M, Nyholt, DR, Dharuri, HK, Codd, V, Amin, Najaf, de Geus, EJC, Deelen, J, Demirkan, Ayse, Yet, I, Fischer, K, Haller, T, Henders, AK, Isaacs, A, Medland, SE, Montgomery, GW, Mooijaart, SP, Strauch, K, Suchiman, HED, Vaarhorst, AAM, van Heemst, D, Wang-Sattler, R, Whitfield, JB, Willemsen, G, Wright, MJ, Martin, NG, Samani, NJ, Metspalu, A, Slagboom, PE (Eline), Spector, TD, Boomsma, DI, Duijn, CM, Gieger, C, van der Spek, Ashley, Broer, Linda, Draisma, HHM, Pool, R, Albrecht, E, Beekman, M, Mangino, M, Raag, M, Nyholt, DR, Dharuri, HK, Codd, V, Amin, Najaf, de Geus, EJC, Deelen, J, Demirkan, Ayse, Yet, I, Fischer, K, Haller, T, Henders, AK, Isaacs, A, Medland, SE, Montgomery, GW, Mooijaart, SP, Strauch, K, Suchiman, HED, Vaarhorst, AAM, van Heemst, D, Wang-Sattler, R, Whitfield, JB, Willemsen, G, Wright, MJ, Martin, NG, Samani, NJ, Metspalu, A, Slagboom, PE (Eline), Spector, TD, Boomsma, DI, Duijn, CM, and Gieger, C

Published
2019

31. A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals

Author

Deelen, J, Kettunen, J, Fischer, K, van der Spek, Ashley, Trompet, S, Kastenmuller, G, Boyd, A, Zierer, J, van den Akker, EB, Ala-Korpela, M, Amin, Najaf, Demirkan, Ayse, Ghanbari, Mohsen, van Heemst, D, Ikram, Arfan, van Klinken, JB, Mooijaart, SP, Peters, A, Salomaa, V, Sattar, N, Spector, TD, Tiemeier, Henning, Verhoeven, Adrie, Waldenberger, M, Wurtz, P, Smith, GD, Metspalu, A, Perola, M, Menni, C, Geleijnse, JM, Drenos, F, Beekman, M, Jukema, JW, Duijn, CM, Slagboom, PE (Eline), Deelen, J, Kettunen, J, Fischer, K, van der Spek, Ashley, Trompet, S, Kastenmuller, G, Boyd, A, Zierer, J, van den Akker, EB, Ala-Korpela, M, Amin, Najaf, Demirkan, Ayse, Ghanbari, Mohsen, van Heemst, D, Ikram, Arfan, van Klinken, JB, Mooijaart, SP, Peters, A, Salomaa, V, Sattar, N, Spector, TD, Tiemeier, Henning, Verhoeven, Adrie, Waldenberger, M, Wurtz, P, Smith, GD, Metspalu, A, Perola, M, Menni, C, Geleijnse, JM, Drenos, F, Beekman, M, Jukema, JW, Duijn, CM, and Slagboom, PE (Eline)

Published
2019

32. Annotating Transcriptional Effects of Genetic Variants in Disease-Relevant Tissue: Transcriptome-Wide Allelic Imbalance in Osteoarthritic Cartilage

Author

den Hollander, W, Pulyakhina, I, de Boer, C, Bomer, N, van der Breggen, R, Arindrarto, W, de Almeida, RC, Lakenberg, N, Sentner, T, Laros, JFJ, 't Hoen, PAC, Slagboom, PE (Eline), Nelissen, R, van Meurs, Joyce, Ramos, YFM, Meulenbelt, I, den Hollander, W, Pulyakhina, I, de Boer, C, Bomer, N, van der Breggen, R, Arindrarto, W, de Almeida, RC, Lakenberg, N, Sentner, T, Laros, JFJ, 't Hoen, PAC, Slagboom, PE (Eline), Nelissen, R, van Meurs, Joyce, Ramos, YFM, and Meulenbelt, I

Published
2019

33. DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation

Author

Richard, MA, Huan, T, Ligthart, S, Gondalia, R, Jhun, MA, Brody, JA, Irvin, MR, Marioni, R, Shen, J, Tsai, PC, Montasser, ME, Jia, Y, Syme, C, Salfati, EL, Boerwinkle, E, Guan, W, Mosley, TH, Bressler, J, Morrison, AC, Liu, C, Mendelson, MM, Uitterlinden, AG, van Meurs, JB, Heijmans, BT, ’t Hoen, PAC, van Meurs, J, Isaacs, A, Jansen, R, Franke, L, Boomsma, DI, Pool, R, van Dongen, J, Hottenga, JJ, van Greevenbroek, MMJ, Stehouwer, CDA, van der Kallen, CJH, Schalkwijk, CG, Wijmenga, C, Zhernakova, A, Tigchelaar, EF, Slagboom, PE, Beekman, M, Deelen, J, van Heemst, D, Veldink, JH, van den Berg, LH, van Duijn, CM, Hofman, A, Jhamai, PM, Verbiest, M, Suchiman, HED, Verkerk, M, van der Breggen, R, van Rooij, J, Lakenberg, N, Mei, H, van Iterson, M, van Galen, M, Bot, J, van ’t Hof, P, Deelen, P, Nooren, I, Moed, M, Vermaat, M, Zhernakova, DV, Luijk, R, Bonder, MJ, van Dijk, F, Arindrarto, W, Kielbasa, SM, Swertz, MA, van Zwet, EW, Franco, OH, Zhang, G, Li, Y, Stewart, JD, Bis, JC, Psaty, BM, Chen, YDI, Kardia, SLR, Zhao, W, Turner, ST, Absher, D, Aslibekyan, S, and Starr, JM

Abstract

© 2017 American Society of Human Genetics Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0 × 10−7; replication: N = 7,182, p < 1.6 × 10−3). The replicated methylation sites are heritable (h2 > 30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

Published
2017
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34. Erratum: Genomewide meta-analysis identifies loci associated with IGF-I and IGEBP-3 levels with impact on age-related traits

Author

Teumer, A, Qi, Q, Nethander, M, Aschard, H, Bandinelli, S, Beekman, M, Berndt, SI, Bidlingmaier, M, Broer, L, Cappola, A, Ceda, GP, Chanock, S, Chen, M-H, Chen, TC, Chen, Y-DI, Chung, J, Miglianico, DGF, Eriksson, J, Ferrucci, L, Friedrich, N, Gnewuch, C, Goodarzi, MO, Grarup, N, Guo, T, Hammer, E, Hayes, RB, Hicks, AA, Hofman, A, Houwing-Duistermaat, JJ, Hu, F, Hunter, DJ, Husemoen, LL, Isaacs, A, Jacobs, KB, Janssen, JAMJL, Jansson, J-O, Jehmlich, N, Johnson, S, Juul, A, Karlsson, M, Kilpelainen, TO, Kovacs, P, Kraft, P, Li, C, Linneberg, A, Liu, Y, Loos, RJF, Lorentzon, M, Lu, Y, Maggio, M, Magi, R, Meigs, J, Mellstrom, D, Nauck, M, Newman, AB, Pollak, MN, Pramstaller, PP, Prokopenko, I, Psaty, BM, Reincke, M, Rimm, EB, Rotter, JI, Pierre, SA, Schurmann, C, Seshadri, S, Sjogren, K, Slagboom, PE, Strickler, HD, Stumvoll, M, Suh, Y, Sun, Q, Zhang, C, Svensson, J, Tanaka, T, Tare, A, Tonjes, A, Uh, H-W, Van Duijn, CM, Van Heemst, D, Vandenput, L, Vasan, RS, Volker, U, Willems, SM, Ohlsson, C, Wallaschofski, H, and Kaplan, RC

Subjects
Science & Technology, Geriatrics & Gerontology, Cell Biology, 11 Medical And Health Sciences, 06 Biological Sciences, Life Sciences & Biomedicine, Developmental Biology
Abstract

In the article, ‘Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits’, the published Table 1 was incorrect, due to an error.

Published
2017

35. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

Author

Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, DeRosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, van der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Boehmer, AC, Boyle, PA, Brodaty, H, Campbell, H, Cannon, TD, Cirulli, ET, Congdon, E, Conley, ED, Corley, J, Cox, SR, Dale, AM, Dehghan, A, Dick, D, Dickinson, D, Eriksson, JG, Evangelou, E, Faul, JD, Ford, I, Freimer, NA, Gao, H, Giegling, I, Gillespie, NA, Gordon, SD, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Hartmann, AM, Hatzimanolis, A, Heiss, G, Holliday, EG, Joshi, PK, Kahonen, M, Kardia, SLR, Karlsson, I, Kleineidam, L, Knopman, DS, Kochan, NA, Konte, B, Kwok, JB, Le Hellard, S, Lee, T, Lehtimaki, T, Li, S-C, Liu, T, Koini, M, London, E, Longstreth, WT, Lopez, OL, Loukola, A, Luck, T, Lundervold, AJ, Lundquist, A, Lyytikainen, L-P, Martin, NG, Montgomery, GW, Murray, AD, Need, AC, Noordam, R, Nyberg, L, Ollier, W, Papenberg, G, Pattie, A, Polasek, O, Poldrack, RA, Psaty, BM, Reppermund, S, Riedel-Heller, SG, Rose, RJ, Rotter, JI, Roussos, P, Rovio, SP, Saba, Y, Sabb, FW, Sachdev, PS, Satizabal, CL, Schmid, M, Scott, RJ, Scult, MA, Simino, J, Slagboom, PE, Smyrnis, N, Soumare, A, Stefanis, NC, Stott, DJ, Straub, RE, Sundet, K, Taylor, AM, Taylor, KD, Tzoulaki, I, Tzourio, C, Uitterlinden, A, Vitart, V, Voineskos, AN, Kaprio, J, Wagner, M, Wagner, H, Weinhold, L, Wen, KH, Widen, E, Yang, Q, Zhao, W, Adams, HHH, Arking, DE, Bilder, RM, Bitsios, P, Boerwinkle, E, Chiba-Falek, O, Corvin, A, De Jager, PL, Debette, S, Donohoe, G, Elliott, P, Fitzpatrick, AL, Gill, M, Glahn, DC, Hagg, S, Hansell, NK, Hariri, AR, Ikram, MK, Jukema, JW, Vuoksimaa, E, Keller, MC, Kremen, WS, Launer, L, Lindenberger, U, Palotie, A, Pedersen, NL, Pendleton, N, Porteous, DJ, Raikkonen, K, Raitakari, OT, Ramirez, A, Reinvang, I, Rudan, I, Rujescu, D, Schmidt, R, Schmidt, H, Schofield, PW, Schofield, PR, Starr, JM, Steen, VM, Trollor, JN, Turner, ST, Van Duijn, CM, Villringer, A, Weinberger, DR, Weir, DR, Wilson, JF, Malhotra, A, McIntosh, AM, Gale, CR, Seshadri, S, Mosley, TH, Bressler, J, Lencz, T, Deary, IJ, Davies, G, Lam, M, Harris, SE, Trampush, JW, Luciano, M, Hill, WD, Hagenaars, SP, Ritchie, SJ, Marioni, RE, Fawns-Ritchie, C, Liewald, DCM, Okely, JA, Ahola-Olli, AV, Barnes, CLK, Bertram, L, Bis, JC, Burdick, KE, Christoforou, A, DeRosse, P, Djurovic, S, Espeseth, T, Giakoumaki, S, Giddaluru, S, Gustavson, DE, Hayward, C, Hofer, E, Ikram, MA, Karlsson, R, Knowles, E, Lahti, J, Leber, M, Li, S, Mather, KA, Melle, I, Morris, D, Oldmeadow, C, Palviainen, T, Payton, A, Pazoki, R, Petrovic, K, Reynolds, CA, Sargurupremraj, M, Scholz, M, Smith, JA, Smith, AV, Terzikhan, N, Thalamuthu, A, Trompet, S, van der Lee, SJ, Ware, EB, Windham, BG, Wright, MJ, Yang, J, Yu, J, Ames, D, Amin, N, Amouyel, P, Andreassen, OA, Armstrong, NJ, Assareh, AA, Attia, JR, Attix, D, Avramopoulos, D, Bennett, DA, Boehmer, AC, Boyle, PA, Brodaty, H, Campbell, H, Cannon, TD, Cirulli, ET, Congdon, E, Conley, ED, Corley, J, Cox, SR, Dale, AM, Dehghan, A, Dick, D, Dickinson, D, Eriksson, JG, Evangelou, E, Faul, JD, Ford, I, Freimer, NA, Gao, H, Giegling, I, Gillespie, NA, Gordon, SD, Gottesman, RF, Griswold, ME, Gudnason, V, Harris, TB, Hartmann, AM, Hatzimanolis, A, Heiss, G, Holliday, EG, Joshi, PK, Kahonen, M, Kardia, SLR, Karlsson, I, Kleineidam, L, Knopman, DS, Kochan, NA, Konte, B, Kwok, JB, Le Hellard, S, Lee, T, Lehtimaki, T, Li, S-C, Liu, T, Koini, M, London, E, Longstreth, WT, Lopez, OL, Loukola, A, Luck, T, Lundervold, AJ, Lundquist, A, Lyytikainen, L-P, Martin, NG, Montgomery, GW, Murray, AD, Need, AC, Noordam, R, Nyberg, L, Ollier, W, Papenberg, G, Pattie, A, Polasek, O, Poldrack, RA, Psaty, BM, Reppermund, S, Riedel-Heller, SG, Rose, RJ, Rotter, JI, Roussos, P, Rovio, SP, Saba, Y, Sabb, FW, Sachdev, PS, Satizabal, CL, Schmid, M, Scott, RJ, Scult, MA, Simino, J, Slagboom, PE, Smyrnis, N, Soumare, A, Stefanis, NC, Stott, DJ, Straub, RE, Sundet, K, Taylor, AM, Taylor, KD, Tzoulaki, I, Tzourio, C, Uitterlinden, A, Vitart, V, Voineskos, AN, Kaprio, J, Wagner, M, Wagner, H, Weinhold, L, Wen, KH, Widen, E, Yang, Q, Zhao, W, Adams, HHH, Arking, DE, Bilder, RM, Bitsios, P, Boerwinkle, E, Chiba-Falek, O, Corvin, A, De Jager, PL, Debette, S, Donohoe, G, Elliott, P, Fitzpatrick, AL, Gill, M, Glahn, DC, Hagg, S, Hansell, NK, Hariri, AR, Ikram, MK, Jukema, JW, Vuoksimaa, E, Keller, MC, Kremen, WS, Launer, L, Lindenberger, U, Palotie, A, Pedersen, NL, Pendleton, N, Porteous, DJ, Raikkonen, K, Raitakari, OT, Ramirez, A, Reinvang, I, Rudan, I, Rujescu, D, Schmidt, R, Schmidt, H, Schofield, PW, Schofield, PR, Starr, JM, Steen, VM, Trollor, JN, Turner, ST, Van Duijn, CM, Villringer, A, Weinberger, DR, Weir, DR, Wilson, JF, Malhotra, A, McIntosh, AM, Gale, CR, Seshadri, S, Mosley, TH, Bressler, J, Lencz, T, and Deary, IJ

Abstract

General cognitive function is a prominent and relatively stable human trait that is associated with many important life outcomes. We combine cognitive and genetic data from the CHARGE and COGENT consortia, and UK Biobank (total N = 300,486; age 16-102) and find 148 genome-wide significant independent loci (P < 5 × 10-8) associated with general cognitive function. Within the novel genetic loci are variants associated with neurodegenerative and neurodevelopmental disorders, physical and psychiatric illnesses, and brain structure. Gene-based analyses find 709 genes associated with general cognitive function. Expression levels across the cortex are associated with general cognitive function. Using polygenic scores, up to 4.3% of variance in general cognitive function is predicted in independent samples. We detect significant genetic overlap between general cognitive function, reaction time, and many health variables including eyesight, hypertension, and longevity. In conclusion we identify novel genetic loci and pathways contributing to the heritability of general cognitive function.

Published
2018

36. Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation

Author

Teumer, A, Chaker, Layal, Groeneweg, Stefan, Li, Yi, Di Munno, Celia, Barbieri, C, Schultheiss, UT, Traglia, M, Ahluwalia, TS, Akiyama, M, Appel, EVR, Arking, DE, Arnold, A, Astrup, A, Beekman, M, Beilby, JP, Bekaert, S, Boerwinkle, E, Brown, SJ, de Buyzere, M, Campbell, PJ, Ceresini, G, Cerqueira, C, Cucca, F, Deary, IJ, Deelen, J, Eckardt, KU, Ekici, AB, Eriksson, JG, Ferrrucci, L, Fiers, T, Fiorillo, E, Ford, I, Fox, CS, Fuchsberger, C, Galesloot, TE, Gieger, C, Gogele, M, De Grandi, A, Grarup, N, Greiser, KH, Haljas, K, Hansen, T, Harris, SE, van Heemst, D, Heijer, M, Hicks, AA, den Hollander, W, Homuth, G, Hui, JN, Ikram, Arfan, Ittermann, T, Jensen, RA, Jing, J, Jukema, JW, Kajalltie, E, Kamatani, Y, Kasbohm, E, Kaufman, JM, Kiemeney, LA, Kloppenburg, M, Kronenberg, F, Kubo, M, Lahti, J, Lapauw, B, Li, S, Liewald, DCM, Lim, EM, Linneberg, A, Marina, M, Mascalzoni, D, Matsuda, K, Medenwald, D, Meisinger, C, Meulenbelt, I, Meyer, T, zu Schwabedissen, HEM, Mikolajczyk, R, Moed, M, Netea-Maier, RT, Nolte, IM, Okadah, Y, Pala, M, Pattaro, C, Pedersen, O, Petersmann, A, Porcu, E, Postmus, I, Pramstaller, PP, Psaty, BM, Ramos, YFM, Rawal, R, Redmond, P, Richards, JB, Rietzschel, ER, Rivadeneira, Fernando, Roef, G, Rotter, JI, Sala, CF, Schlessinger, D, Selvin, E, Slagboom, PE (Eline), Soranzo, N, Sorensen, TIA, Spector, TD, Starr, JM, Stott, DJ, Taes, Y, Taliun, D, Tanaka, T, Thuesen, B, Tiller, D, Toniolo, D, Uitterlinden, André, Visser, Edward, Walsh, JP, Wilson, SG, Wolffenbuttel, BHR, Yang, Q, Zheng, HF, Cappola, A, Peeters, Robin, Naitza, S, Volzke, H, Sanna, S, Kottgen, A, Visser, Theo, Medici, Marco, Teumer, A, Chaker, Layal, Groeneweg, Stefan, Li, Yi, Di Munno, Celia, Barbieri, C, Schultheiss, UT, Traglia, M, Ahluwalia, TS, Akiyama, M, Appel, EVR, Arking, DE, Arnold, A, Astrup, A, Beekman, M, Beilby, JP, Bekaert, S, Boerwinkle, E, Brown, SJ, de Buyzere, M, Campbell, PJ, Ceresini, G, Cerqueira, C, Cucca, F, Deary, IJ, Deelen, J, Eckardt, KU, Ekici, AB, Eriksson, JG, Ferrrucci, L, Fiers, T, Fiorillo, E, Ford, I, Fox, CS, Fuchsberger, C, Galesloot, TE, Gieger, C, Gogele, M, De Grandi, A, Grarup, N, Greiser, KH, Haljas, K, Hansen, T, Harris, SE, van Heemst, D, Heijer, M, Hicks, AA, den Hollander, W, Homuth, G, Hui, JN, Ikram, Arfan, Ittermann, T, Jensen, RA, Jing, J, Jukema, JW, Kajalltie, E, Kamatani, Y, Kasbohm, E, Kaufman, JM, Kiemeney, LA, Kloppenburg, M, Kronenberg, F, Kubo, M, Lahti, J, Lapauw, B, Li, S, Liewald, DCM, Lim, EM, Linneberg, A, Marina, M, Mascalzoni, D, Matsuda, K, Medenwald, D, Meisinger, C, Meulenbelt, I, Meyer, T, zu Schwabedissen, HEM, Mikolajczyk, R, Moed, M, Netea-Maier, RT, Nolte, IM, Okadah, Y, Pala, M, Pattaro, C, Pedersen, O, Petersmann, A, Porcu, E, Postmus, I, Pramstaller, PP, Psaty, BM, Ramos, YFM, Rawal, R, Redmond, P, Richards, JB, Rietzschel, ER, Rivadeneira, Fernando, Roef, G, Rotter, JI, Sala, CF, Schlessinger, D, Selvin, E, Slagboom, PE (Eline), Soranzo, N, Sorensen, TIA, Spector, TD, Starr, JM, Stott, DJ, Taes, Y, Taliun, D, Tanaka, T, Thuesen, B, Tiller, D, Toniolo, D, Uitterlinden, André, Visser, Edward, Walsh, JP, Wilson, SG, Wolffenbuttel, BHR, Yang, Q, Zheng, HF, Cappola, A, Peeters, Robin, Naitza, S, Volzke, H, Sanna, S, Kottgen, A, Visser, Theo, and Medici, Marco

Published
2018

37. Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults

Author

Parmar, P, Lowry, E, Cugliari, G, Suderman, M, Wilson, R, Karhunen, V, Andrew, T, Wiklund, P, Wielscher, M, Guarrera, S, Teumer, A, Lehne, B, Milani, L, de Klein, N, Mishra, PP, Melton, PE, Mandaviya, Pooja, Kasela, S, Nano, Jana, Zhang, WH, Zhang, Y, Uitterlinden, André, Peters, A, Schottker, B, Gieger, C, Anderson, D, Boomsma, DI, Grabe, HJ, Panico, S, Veldink, JH, van Meurs, Joyce, Berg, L, Beilin, LJ, Franke, L, Loh, M, van Greevenbroek, MMJ, Nauck, M, Kahonen, M, Hurme, MA, Raitakari, OT, Franco Duran, OH, Slagboom, PE (Eline), van der Harst, P, Kunze, S, Felix, SB, Zhang, T, Chen, W, Mori, TA, Bonnefond, A, Heijmans, BT, Muka, Taulant, Kooner, JS, Fischer, K, Waldenberger, M, Froguel, P, Huang, RC, Lehtimaki, T, Rathmann, W, Relton, CL, Matullo, G, Brenner, H, Verweij, N, Li, SX, Chambers, JC, Jarvelin, MR, Sebert, S, Parmar, P, Lowry, E, Cugliari, G, Suderman, M, Wilson, R, Karhunen, V, Andrew, T, Wiklund, P, Wielscher, M, Guarrera, S, Teumer, A, Lehne, B, Milani, L, de Klein, N, Mishra, PP, Melton, PE, Mandaviya, Pooja, Kasela, S, Nano, Jana, Zhang, WH, Zhang, Y, Uitterlinden, André, Peters, A, Schottker, B, Gieger, C, Anderson, D, Boomsma, DI, Grabe, HJ, Panico, S, Veldink, JH, van Meurs, Joyce, Berg, L, Beilin, LJ, Franke, L, Loh, M, van Greevenbroek, MMJ, Nauck, M, Kahonen, M, Hurme, MA, Raitakari, OT, Franco Duran, OH, Slagboom, PE (Eline), van der Harst, P, Kunze, S, Felix, SB, Zhang, T, Chen, W, Mori, TA, Bonnefond, A, Heijmans, BT, Muka, Taulant, Kooner, JS, Fischer, K, Waldenberger, M, Froguel, P, Huang, RC, Lehtimaki, T, Rathmann, W, Relton, CL, Matullo, G, Brenner, H, Verweij, N, Li, SX, Chambers, JC, Jarvelin, MR, and Sebert, S

Published
2018

38. Genome-wide identification of directed gene networks using large-scale population genomics data

Author

Luijk, R, Dekkers, K F, van Iterson, M, Arindrarto, W, Claringbould, A, Hop, P, Boomsma, DI, Duijn, Cornelia, van Greevenbroek, MMJ, Veldink, JH, Wijmenga, C, Franke, L, t Hoend, PAC, Jansen, R, van Meurs, Joyce, Mei, H L, Slagboom, PE (Eline), Heijmans, BT, van Zwet, EW, Luijk, R, Dekkers, K F, van Iterson, M, Arindrarto, W, Claringbould, A, Hop, P, Boomsma, DI, Duijn, Cornelia, van Greevenbroek, MMJ, Veldink, JH, Wijmenga, C, Franke, L, t Hoend, PAC, Jansen, R, van Meurs, Joyce, Mei, H L, Slagboom, PE (Eline), Heijmans, BT, and van Zwet, EW

Published
2018

39. Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation

Author

Luijk, R, Wu, HY, Ward-Caviness, CK, Hannon, E, Carnero Montoro, Elena, Min, JL, Mandaviya, Pooja, Muller-Nurasyid, M, Mei, H, van der Maarel, SM, Relton, C, van Mill, J, Waldenberger, M, Bell, JT, Jansen, R, Zhernakova, A, Franke, L, 't Hoen, PAC, Boomsma, DI, Duijn, Cornelia, van Greevenbroek, MMJ, Veldink, JH, Wijmenga, C, van Meurs, Joyce, Daxinger, L, Slagboom, PE (Eline), van Zwet, EW, Heijmans, BT, Luijk, R, Wu, HY, Ward-Caviness, CK, Hannon, E, Carnero Montoro, Elena, Min, JL, Mandaviya, Pooja, Muller-Nurasyid, M, Mei, H, van der Maarel, SM, Relton, C, van Mill, J, Waldenberger, M, Bell, JT, Jansen, R, Zhernakova, A, Franke, L, 't Hoen, PAC, Boomsma, DI, Duijn, Cornelia, van Greevenbroek, MMJ, Veldink, JH, Wijmenga, C, van Meurs, Joyce, Daxinger, L, Slagboom, PE (Eline), van Zwet, EW, and Heijmans, BT

Published
2018

40. Biological interpretation of genome-wide association studies using predicted gene functions

Author

Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, Gustafsson S, Esko T, Frayling T, Speliotes EK, Boehnke M, Raychaudhuri S, Fehrmann RS, Hirschhorn JN, Franke L, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice E, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Mateo Leach I, Medina Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Ärnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi Boehm S, Cooper M, Daw EW, De Jong A, Deelen J, Delgado G, Denny JC, Dhonukshe Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, 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Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Frayling T.M., Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Wood, AR., Esko, T., Yang, J., Vedantam, S., Pers, TH., Gustafsson, S., Chu, AY., Estrada, K., Luan£££Jian'an£££ J., Kutalik£££Zoltán£££ Z., Amin, N., Buchkovich, ML., Croteau-Chonka, DC., Day, FR., Duan, Y., Fall, T., Fehrmann, R., Ferreira, T., Jackson, AU., Karjalainen, J., Lo, KS., Locke, AE., Mägi, R., Mihailov, E., Porcu, E., Randall, JC., Scherag, A., Vinkhuyzen, AA., Westra, HJ., Winkler, TW., Workalemahu, T., Zhao, JH., Absher, D., Albrecht, E., Anderson, D., Baron, J., Beekman, M., Demirkan, A., Ehret, GB., Feenstra, B., Feitosa, MF., Fischer, K., Fraser, RM., Goel, A., Gong, J., Justice, E., Kanoni, S., Kleber, ME., Kristiansson, K., Lim, U., Lotay, V., Lui, JC., Mangino, M., Mateo Leach, I., Medina-Gomez, C., Nalls, MA., Nyholt, DR., Palmer, CD., Pasko, D., Pechlivanis, S., Prokopenko, I., Ried, JS., Ripke, S., Shungin, D., Stancáková, A., Strawbridge, RJ., Sung, YJ., Tanaka, T., Teumer, A., Trompet, S., van der Laan SW., van Setten, J., Van Vliet-Ostaptchouk JV., Wang, Z., Yengo£££Loïc£££ L., Zhang, W., Afzal, U., Ärnlöv, J., Arscott, GM., Bandinelli, S., Barrett, A., Bellis, C., Bennett, AJ., Berne, C., Blüher, M., Bolton, JL., Böttcher, Y., Boyd, HA., Bruinenberg, M., Buckley, BM., Buyske, S., Caspersen, IH., Chines, PS., Clarke, R., Claudi-Boehm, S., Cooper, M., Daw, EW., De Jong, A., Deelen, J., Delgado, G., Denny, JC., Dhonukshe-Rutten, R., Dimitriou, M., Doney, AS., Dörr, M., Eklund, N., Eury, E., Folkersen, L., Garcia, ME., Geller, F., Giedraitis, V., Go, AS., Grallert, H., Grammer, TB., Gräßler, J., Grönberg, H., de Groot LC., Groves, CJ., Haessler, J., Haller, T., Hallmans, G., Hannemann, A., Hartman, CA., Hassinen, M., Hayward, C., Heard-Costa, NL., Helmer, Q., Hemani, G., Henders, AK., Hillege, HL., Hlatky, MA., Hoffmann, W., Hoffmann, P., Holmen, O., Houwing-Duistermaat, JJ., Illig, T., Isaacs, A., James, AL., Jeff, J., Johansen, B., Johansson£££Åsa£££ Å., Jolley, J., Juliusdottir, T., Junttila, J., Kho, AN., Kinnunen, L., Klopp, N., Kocher, T., Kratzer, W., Lichtner, P., Lind, L., Lindström, J., Lobbens, S., Lorentzon, M., Lu, Y., Lyssenko, V., Magnusson, PK., Mahajan, A., Maillard, M., McArdle, WL., McKenzie, CA., McLachlan, S., McLaren, PJ., Menni, C., Merger, S., Milani, L., Moayyeri, A., Monda, KL., Morken, MA., Müller, G., Müller-Nurasyid, M., Musk, AW., Narisu, N., Nauck, M., Nolte, IM., Nöthen, MM., Oozageer, L., Pilz, S., Rayner, NW., Renstrom, F., Robertson, NR., Rose, LM., Roussel, R., Sanna, S., Scharnagl, H., Scholtens, S., Schumacher, FR., Schunkert, H., Scott, RA., Sehmi, J., Seufferlein, T., Shi, J., Silventoinen, K., Smit, JH., Smith, AV., Smolonska, J., Stanton, AV., Stirrups, K., Stott, DJ., Stringham, HM., Sundström, J., Swertz, MA., Syvänen, AC., Tayo, BO., Thorleifsson, G., Tyrer, JP., van Dijk, S., van Schoor NM., van der Velde, N., van Heemst, D., van Oort FV., Vermeulen, SH., Verweij, N., Vonk, JM., Waite, LL., Waldenberger, M., Wennauer, R., Wilkens, LR., Willenborg, C., Wilsgaard, T., Wojczynski, MK., Wong, A., Wright, AF., Zhang, Q., Arveiler, D., Bakker, SJ., Beilby, J., Bergman, RN., Bergmann, S., Biffar, R., Blangero, J., Boomsma, I., Bornstein, SR., Bovet, P., Brambilla, P., Brown, MJ., Campbell, H., Caulfield, MJ., Chakravarti, A., Collins, R., Collins, FS., Crawford, DC., Cupples, LA., Danesh, J., de Faire, U., den Ruijter HM., Erbel, R., Erdmann, J., Eriksson, JG., Farrall, M., Ferrannini, E., Ferrières, J., Ford, I., Forouhi, NG., Forrester, T., Gansevoort, RT., Gejman, PV., Gieger, C., Golay, A., Gottesman, O., Gudnason, V., Gyllensten, U., Haas, DW., Hall, AS., Harris, TB., Hattersley, AT., Heath, AC., Hengstenberg, C., Hicks, AA., Hindorff, LA., Hingorani, AD., Hofman, A., Hovingh, GK., Humphries, SE., Hunt, SC., Hypponen, E., Jacobs, KB., Jarvelin, MR., Jousilahti, P., Jula, AM., Kaprio, J., Kastelein, JJ., Kayser, M., Kee, F., Keinanen-Kiukaanniemi, SM., Kiemeney, LA., Kooner, JS., Kooperberg, C., Koskinen, S., Kovacs, P., Kraja, AT., Kumari, M., Kuusisto, J., Lakka, TA., Langenberg, C., Le Marchand, L., Lehtimäki, T., Lupoli, S., Madden, PA., Männistö, S., Manunta, P., Marette, A., Matise, TC., McKnight, B., Meitinger, T., Moll, FL., Montgomery, GW., Morris, AD., Morris, AP., Murray, JC., Nelis, M., Ohlsson, C., Oldehinkel, AJ., Ong, KK., Ouwehand, WH., Pasterkamp, G., Peters, A., Pramstaller, PP., Price, JF., Qi, L., Raitakari, OT., Rankinen, T., Rao, DC., Rice, TK., Ritchie, M., Rudan, I., Salomaa, V., Samani, NJ., Saramies, J., Sarzynski, MA., Schwarz, PE., Sebert, S., Sever, P., Shuldiner, AR., Sinisalo, J., Steinthorsdottir, V., Stolk, RP., Tardif, JC., Tönjes, A., Tremblay, A., Tremoli, E., Virtamo, J., Vohl, MC., Amouyel, P., Asselbergs, FW., Assimes, TL., Bochud, M., Boehm, BO., Boerwinkle, E., Bottinger, EP., Bouchard, C., Cauchi, S., Chambers, JC., Chanock, SJ., Cooper, RS., de Bakker PI., Dedoussis, G., Ferrucci, L., Franks, PW., Froguel, P., Groop, LC., Haiman, CA., Hamsten, A., Hayes, MG., Hui, J., Hunter, DJ., Hveem, K., Jukema, JW., Kaplan, RC., Kivimaki, M., Kuh, D., Laakso, M., Liu, Y., Martin, NG., März, W., Melbye, M., Moebus, S., Munroe, PB., Njølstad, I., Oostra, BA., Palmer, CN., Pedersen, NL., Perola, M., Pérusse, L., Peters, U., Powell, JE., Power, C., Quertermous, T., Rauramaa, R., Reinmaa, E., Ridker, PM., Rivadeneira, F., Rotter, JI., Saaristo, TE., Saleheen, D., Schlessinger, D., Slagboom, PE., Snieder, H., Spector, TD., Strauch, K., Stumvoll, M., Tuomilehto, J., Uusitupa, M., van der Harst, P., Völzke, H., Walker, M., Wareham, NJ., Watkins, H., Wichmann, HE., Wilson, JF., Zanen, P., Deloukas, P., Heid, IM., Lindgren, CM., Mohlke, KL., Speliotes, EK., Thorsteinsdottir, U., Barroso£££Inês£££ I., Fox, CS., North, KE., Strachan, DP., Beckmann, JS., Berndt, SI., Boehnke, M., Borecki, IB., McCarthy, MI., Metspalu, A., Stefansson, K., Uitterlinden, AG., van Duijn CM., Franke, L., Willer, CJ., Price, AL., Lettre, G., Loos, RJ., Weedon, MN., Ingelsson, E., O'Connell, JR., Abecasis, GR., Chasman, DI., Goddard, ME., Visscher, PM., Hirschhorn, JN., Frayling, TM., Clinicum, Jaakko Kaprio / Principal Investigator, Department of Public Health, Institute for Molecular Medicine Finland, Genetic Epidemiology, Pers, T, Karjalainen, J, Chan, Y, Westra, H, Wood, A, Yang, J, Lui, J, Vedantam, S, Gustafsson, S, Esko, T, Frayling, T, Speliotes, E, Boehnke, M, Raychaudhuri, S, Fehrmann, R, Hirschhorn, J, Franke, L, Chu, A, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, M, Croteau Chonka, D, Day, F, Duan, Y, Fall, T, Ferreira, T, Jackson, A, Lo, K, Locke, A, Mägi, R, Mihailov, E, Porcu, E, Randall, J, Scherag, A, Vinkhuyzen, A, Winkler, T, Workalemahu, T, Zhao, J, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, G, Feenstra, B, Feitosa, M, Fischer, K, Fraser, R, Goel, A, Gong, J, Justice, E, Kanoni, S, Kleber, M, Kristiansson, K, Lim, U, Lotay, V, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, M, Nyholt, D, Palmer, C, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, J, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, R, Sung, Y, Tanaka, T, Teumer, A, Trompet, S, van der Laan, S, van Setten, J, Van Vliet Ostaptchouk, J, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Bolton, J, Böttcher, Y, Boyd, H, Bruinenberg, M, Buckley, B, Buyske, S, Caspersen, I, Chines, P, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, E, De Jong, A, Deelen, J, Delgado, G, Denny, J, Dhonukshe Rutten, R, Dimitriou, M, Doney, A, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, M, Geller, F, Giedraitis, V, Go, A, Grallert, H, Grammer, T, Gräßler, J, Grönberg, H, de Groot, L, Groves, C, Haessler, J, Haller, T, Hallmans, G, Hannemann, A, Hartman, C, Hassinen, M, Hayward, C, Heard Costa, N, Helmer, Q, Hemani, G, Henders, A, Hillege, H, Hlatky, M, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat, J, Illig, T, Isaacs, A, James, A, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, A, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, P, Mahajan, A, Maillard, M, Mcardle, W, Mckenzie, C, Mclachlan, S, Mclaren, P, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, K, Morken, M, Müller, G, Müller Nurasyid, M, Musk, A, Narisu, N, Nauck, M, Nolte, I, Nöthen, M, Oozageer, L, Pilz, S, Rayner, N, Renstrom, F, Robertson, N, Rose, L, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, F, Schunkert, H, Scott, R, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, J, Smith, A, Smolonska, J, Stanton, A, Stirrups, K, Stott, D, Stringham, H, Sundström, J, Swertz, M, Syvänen, A, Tayo, B, Thorleifsson, G, Tyrer, J, van Dijk, S, van Schoor, N, van der Velde, N, van Heemst, D, van Oort, F, Vermeulen, S, Verweij, N, Vonk, J, Waite, L, Waldenberger, M, Wennauer, R, Wilkens, L, Willenborg, C, Wilsgaard, T, Wojczynski, M, Wong, A, Wright, A, Zhang, Q, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Bergmann, S, Biffar, R, Blangero, J, Boomsma, I, Bornstein, S, Bovet, P, Brambilla, P, Brown, M, Campbell, H, Caulfield, M, Chakravarti, A, Collins, R, Collins, F, Crawford, D, Cupples, L, Danesh, J, de Faire, U, den Ruijter, H, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Ford, I, Forouhi, N, Forrester, T, Gansevoort, R, Gejman, P, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, D, Hall, A, Harris, T, Hattersley, A, Heath, A, Hengstenberg, C, Hicks, A, Hindorff, L, Hingorani, A, Hofman, A, Hovingh, G, Humphries, S, Hunt, S, Hypponen, E, Jacobs, K, Jarvelin, M, Jousilahti, P, Jula, A, Kaprio, J, Kastelein, J, Kayser, M, Kee, F, Keinanen Kiukaanniemi, S, Kiemeney, L, Kooner, J, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, A, Kumari, M, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, P, Männistö, S, Manunta, P, Marette, A, Matise, T, Mcknight, B, Meitinger, T, Moll, F, Montgomery, G, Morris, A, Murray, J, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Ouwehand, W, Pasterkamp, G, Peters, A, Pramstaller, P, Price, J, Qi, L, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Sebert, S, Sever, P, Shuldiner, A, Sinisalo, J, Steinthorsdottir, V, Stolk, R, Tardif, J, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, M, Amouyel, P, Asselbergs, F, Assimes, T, Bochud, M, Boehm, B, Boerwinkle, E, Bottinger, E, Bouchard, C, Cauchi, S, Chambers, J, Chanock, S, Cooper, R, de Bakker, P, Dedoussis, G, Ferrucci, L, Franks, P, Froguel, P, Groop, L, Haiman, C, Hamsten, A, Hayes, M, Hui, J, Hunter, D, Hveem, K, Jukema, J, Kaplan, R, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, N, März, W, Melbye, M, Moebus, S, Munroe, P, Njølstad, I, Oostra, B, Pedersen, N, Perola, M, Pérusse, L, Peters, U, Powell, J, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, Ridker, P, Rivadeneira, F, Rotter, J, Saaristo, T, Saleheen, D, Schlessinger, D, Slagboom, P, Snieder, H, Spector, T, Strauch, K, Stumvoll, M, Tuomilehto, J, Uusitupa, M, van der Harst, P, Völzke, H, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Wilson, J, Zanen, P, Deloukas, P, Heid, I, Lindgren, C, Mohlke, K, Thorsteinsdottir, U, Barroso, I, Fox, C, North, K, Strachan, D, Beckmann, J, Berndt, S, Borecki, I, Mccarthy, M, Metspalu, A, Stefansson, K, Uitterlinden, A, van Duijn, C, Willer, C, Price, A, Lettre, G, Loos, R, Weedon, M, Ingelsson, E, O'Connell, J, Abecasis, G, Chasman, D, Goddard, M, Visscher, P, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Pers, Th, Karjalainen, Jm, Westra, Hj, Wood, Ar, Lui, Jc, Speliotes, Ek, Hirschhorn, Jn, and Faculty of Health Sciences

Subjects
Cell type, Candidate gene, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, LOCI, General Physics and Astronomy, Genome-wide association study, Disease, Computational biology, Biology, Research Support, General Biochemistry, Genetics and Molecular Biology, Article, DISEASE, N.I.H, CANDIDATE GENES, Genome-Wide Association Study/methods, Software, HEIGHT, Research Support, N.I.H., Extramural, Genetics, Journal Article, NETWORK, Non-U.S. Gov't, Gene, COMMON, Intramural, ARCHITECTURE, Biochemistry, Genetics and Molecular Biology (all), Multidisciplinary, IDENTIFICATION, ta1184, Research Support, Non-U.S. Gov't, Gene sets, Extramural, General Chemistry, ta3121, Research Support, N.I.H., Intramural, Phenotype, 3142 Public health care science, environmental and occupational health, Biological sciences, DATA SETS, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Identification (biology), INTEGRATION, Genome-Wide Association Study
Abstract

Article, The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes., published version, http://purl.org/eprint/status/PeerReviewed

Published
2015
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41. Human plasma N-glycosylation as analyzed by MALDI-FTICR-MS associates with markers of inflammation and metabolic health

Author

Reiding, KR, Ruhaak, LR, Uh, H-W, El Bouhaddani, S, Van den Akker, EB, Plomp, R, McDonnell, LA, Houwing-Duistermaat, JJ, Slagboom, PE, Beekman, M, and Wuhrer, M

Abstract

Glycosylation is an abundant co- and post-translational protein modification of importance to protein processing and activity. While not template-defined, glycosylation does reflect the biological state of an organism and is a high-potential biomarker for disease and patient stratification. However, to interpret a complex but informative sample like the total plasma N-glycome (TPNG), it is important to establish its baseline association with plasma protein levels and systemic processes. Thus far, large scale studies (n > 200) of the TPNG have been performed with methods of chromatographic and electrophoretic separation, which, while being informative, are limited in resolving the structural complexity of plasma N-glycans. Mass spectrometry (MS) has the opportunity to contribute additional information on, among others, antennarity, sialylation, and the identity of high-mannose type species. Here, we have used matrix-assisted laser desorption/ionization (MALDI)-Fourier transform ion cyclotron resonance (FTICR)- MS to study the TPNGs of 2,144 healthy middle-aged individuals from the Leiden Longevity Study, to allow association analysis with markers of metabolic health and inflammation. To achieve this, N-glycans were enzymatically released from their protein backbones, labeled at the reducing end with 2-aminobenzoic acid, and following purification analyzed by negative ion mode intermediate pressure MALDI-FTICR-MS. In doing so, we achieved the relative quantification of 61 glycan compositions, ranging from Hex4HexNAc2 to Hex7HexNAc6dHex1Neu5Ac4, as well as that of 39 glycosylation traits derived thereof. Next to confirming known associations of glycosylation with age and sex by MALDI-FTICR-MS, we report novel associations with C-reactive protein (CRP), interleukin 6 (IL-6), body mass index (BMI), leptin, adiponectin, HDL cholesterol, triglycerides (TG), insulin, gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT) and smoking. Overall, the bisection, galactosylation and sialylation of diantennary species, the sialylation of tetraantennary species, and the size of high-mannose species proved to be important plasma characteristics associated with inflammation and metabolic health.

Published
2017

42. Homocysteine levels associate with subtle changes in leukocyte DNA methylation: an epigenome-wide analysis

Author

Mandaviya, Pooja, Aissi, D, Dekkers, K F, Joehanes, R, Kasela, S, Truong, V, Stolk, Lisette, van Heemst, D, Ikram, Arfan, Lindemans, J, Slagboom, PE (Eline), Tregouet, DA, Uitterlinden, André, Wei, C, Wells, P, Gagnon, F, van Greevenbroek, MMJ, Heijmans, BT, Milani, L, Morange, PE, van Meurs, Joyce, Heil, Sandra, Mandaviya, Pooja, Aissi, D, Dekkers, K F, Joehanes, R, Kasela, S, Truong, V, Stolk, Lisette, van Heemst, D, Ikram, Arfan, Lindemans, J, Slagboom, PE (Eline), Tregouet, DA, Uitterlinden, André, Wei, C, Wells, P, Gagnon, F, van Greevenbroek, MMJ, Heijmans, BT, Milani, L, Morange, PE, van Meurs, Joyce, and Heil, Sandra

Published
2017

43. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity

Author

Joshi, PK, Pirastu, N, Kentistou, KA, Fischer, K, Hofer, E, Schraut, KE, Clark, DW, Nutile, T, Barnes, CLK, Timmers, P, Shen, X, Gandin, I, McDaid, AF, Hansen, TF, Gordon, SD, Giulianini, F, Boutin, TS, Abdellaoui, A, Zhao, W, Medina-Gomez, C, Bartz, TM, Trompet, S, Lange, LA, Raffield, L, van der Spek, Ashley, Galesloot, TE, Proitsi, P, Yanek, LR, Bielak, LF, Payton, A, Murgia, F, Concas, MP, Biino, G, Tajuddin, S M, Seppala, I, Amin, Najaf, Boerwinkle, E, Borglum, AD, Campbell, A (Archie), Demerath, EW, Demuth, I, Faul, JD, Ford, I, Gialluisi, A, Gogele, M, Graff, M, Hingorani, A, Hottenga, JJ, Hougaard, DM, Hurme, MA, Ikram, Arfan, Jylha, M, Kuh, D, Ligthart, L, Lill, CM, Lindenberger, U, Lumley, T, Magi, R, Marques-Vidal, P, Medland, SE, Milani, L, Nagy, R, Ollier, WER, Peyser, PA, Pramstaller, PP, Ridker, PM, Rivadeneira, F, Ruggiero, D, Saba, Y, Schmidt, R, Schmidt, H, Slagboom, PE (Eline), Smith, BH, Smith, JA, Sotoodehnia, N, Steinhagen-Thiessen, E, van Rooij, FJA, Verbeek, AL, Vermeulen, SH, Vollenweider, P, Wang, YP, Werge, T, Whitfield, JB, Zonderman, AB, Lehtimaki, T, Evans, MK, Pirastu, M, Fuchsberger, C, Bertram, L, Pendleton, N, Kardia, SLR, Ciullo, M, Becker, DM, Wong, A, Psaty, BM, Duijn, Cornelia, Wilson, JG, Jukema, JW, Kiemeney, L, Uitterlinden, André, Franceschini, N, North, KE, Weir, DR, Metspalu, A, Boomsma, DI, Hayward, C, Chasman, D, Martin, NG, Sattar, N, Campbell, H, Esko, T, Kutalik, Z, Wilson, JF, Joshi, PK, Pirastu, N, Kentistou, KA, Fischer, K, Hofer, E, Schraut, KE, Clark, DW, Nutile, T, Barnes, CLK, Timmers, P, Shen, X, Gandin, I, McDaid, AF, Hansen, TF, Gordon, SD, Giulianini, F, Boutin, TS, Abdellaoui, A, Zhao, W, Medina-Gomez, C, Bartz, TM, Trompet, S, Lange, LA, Raffield, L, van der Spek, Ashley, Galesloot, TE, Proitsi, P, Yanek, LR, Bielak, LF, Payton, A, Murgia, F, Concas, MP, Biino, G, Tajuddin, S M, Seppala, I, Amin, Najaf, Boerwinkle, E, Borglum, AD, Campbell, A (Archie), Demerath, EW, Demuth, I, Faul, JD, Ford, I, Gialluisi, A, Gogele, M, Graff, M, Hingorani, A, Hottenga, JJ, Hougaard, DM, Hurme, MA, Ikram, Arfan, Jylha, M, Kuh, D, Ligthart, L, Lill, CM, Lindenberger, U, Lumley, T, Magi, R, Marques-Vidal, P, Medland, SE, Milani, L, Nagy, R, Ollier, WER, Peyser, PA, Pramstaller, PP, Ridker, PM, Rivadeneira, F, Ruggiero, D, Saba, Y, Schmidt, R, Schmidt, H, Slagboom, PE (Eline), Smith, BH, Smith, JA, Sotoodehnia, N, Steinhagen-Thiessen, E, van Rooij, FJA, Verbeek, AL, Vermeulen, SH, Vollenweider, P, Wang, YP, Werge, T, Whitfield, JB, Zonderman, AB, Lehtimaki, T, Evans, MK, Pirastu, M, Fuchsberger, C, Bertram, L, Pendleton, N, Kardia, SLR, Ciullo, M, Becker, DM, Wong, A, Psaty, BM, Duijn, Cornelia, Wilson, JG, Jukema, JW, Kiemeney, L, Uitterlinden, André, Franceschini, N, North, KE, Weir, DR, Metspalu, A, Boomsma, DI, Hayward, C, Chasman, D, Martin, NG, Sattar, N, Campbell, H, Esko, T, Kutalik, Z, and Wilson, JF

Published
2017

44. Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes

Author

Mandaviya, Pooja, Joehanes, R, Aissi, D, Kuhnel, B, Marioni, RE, Truong, V, Stolk, Lisette, Beekman, M, Bonder, MJ, Franke, L, Gieger, C, Huan, TX, Ikram, Arfan, Kunze, S, Liang, LM, Lindemann, J, Liu, CY, Mcrae, AF, Mendelson, MM, Muller-Nurasyid, M, Peters, A, Slagboom, PE (Eline), Starr, JM, Tregouet, DA, Uitterlinden, André, van Greevenbroek, MMJ, van Heemst, D, van Iterson, M, Wells, PS, Yao, C, Deary, IJ, Gagnon, F, Heijmans, BT, Levy, D, Morange, PE, Waldenberger, M, Heil, Sandra, van Meurs, Joyce, Mandaviya, Pooja, Joehanes, R, Aissi, D, Kuhnel, B, Marioni, RE, Truong, V, Stolk, Lisette, Beekman, M, Bonder, MJ, Franke, L, Gieger, C, Huan, TX, Ikram, Arfan, Kunze, S, Liang, LM, Lindemann, J, Liu, CY, Mcrae, AF, Mendelson, MM, Muller-Nurasyid, M, Peters, A, Slagboom, PE (Eline), Starr, JM, Tregouet, DA, Uitterlinden, André, van Greevenbroek, MMJ, van Heemst, D, van Iterson, M, Wells, PS, Yao, C, Deary, IJ, Gagnon, F, Heijmans, BT, Levy, D, Morange, PE, Waldenberger, M, Heil, Sandra, and van Meurs, Joyce

Published
2017

45. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Author

Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, V A, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renstrom, F, Wu, J, Qi, QB, Ahmad, Shahzad, Alfred, T, Amin, Najaf, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Harder, MN, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikainen, LP, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Mueller-Nurasyid, M, Navarro, P, Perusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stancakova, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, van der Laan, SW, van der Most, PJ, van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N (Niek), Vink, JM, Vitart, V, Wu, Fenny, Yengo, L, Zhang, WH, Zhao, JH, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, de Borst, GJ, de Craen, AJM, de Geus, EJC, Dedoussis, G, Delgado, GE, den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Hottenga, JJ, Huang, J, Hung, J, Hutri-Kahonen, N, Ingelsson, E, James, AL, Jansson, JO, Jarvelin, MR, Jhun, MA, Jorgensen, ME, Juonala, M, Kahonen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Kramer, BK, Kuusisto, J, Kvaloy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Mannikko, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellstrom, D, Menni, C, Montgomery, GW, Musk, AW, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, s, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE (Eline), Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, André, Vandenput, L, Vohl, MC, Volzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, M.C., Baldassarre, D, Balkau, B, Bandinelli, S, Boger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, YDI, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, de Faire, U, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, HJ, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Jukema, W, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimaki, T, Le Marchand, L, Marz, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sorensen, TIA, Strauch, K, Tiemeier, Henning, Tremoli, E, van der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Duijn, Cornelia, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpelainen, TO, Liu, CT, Borecki, IB, North, KE, Cupples, LA, Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, V A, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renstrom, F, Wu, J, Qi, QB, Ahmad, Shahzad, Alfred, T, Amin, Najaf, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Harder, MN, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikainen, LP, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Mueller-Nurasyid, M, Navarro, P, Perusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stancakova, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, van der Laan, SW, van der Most, PJ, van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N (Niek), Vink, JM, Vitart, V, Wu, Fenny, Yengo, L, Zhang, WH, Zhao, JH, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, de Borst, GJ, de Craen, AJM, de Geus, EJC, Dedoussis, G, Delgado, GE, den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Hottenga, JJ, Huang, J, Hung, J, Hutri-Kahonen, N, Ingelsson, E, James, AL, Jansson, JO, Jarvelin, MR, Jhun, MA, Jorgensen, ME, Juonala, M, Kahonen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Kramer, BK, Kuusisto, J, Kvaloy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Mannikko, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellstrom, D, Menni, C, Montgomery, GW, Musk, AW, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, s, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE (Eline), Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, André, Vandenput, L, Vohl, MC, Volzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, M.C., Baldassarre, D, Balkau, B, Bandinelli, S, Boger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, YDI, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, de Faire, U, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, HJ, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Jukema, W, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimaki, T, Le Marchand, L, Marz, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sorensen, TIA, Strauch, K, Tiemeier, Henning, Tremoli, E, van der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Duijn, Cornelia, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpelainen, TO, Liu, CT, Borecki, IB, North, KE, and Cupples, LA

Published
2017

46. Short telomere length is associated with impaired cognitive performance in European ancestry cohorts

Author

Hagg, S, Zhan, Y, Karlsson, R, Gerritsen, L, Ploner, A, van der Lee, Sven, Broer, Linda, Deelen, J, Marioni, RE, Wong, A, Lundquist, A, Zhu, G, Hansell, NK, Sillanpaa, E, Fedko, IO, Amin, Najaf, Beekman, M, de Craen, AJM, Degerman, S, Harris, SE, Kan, KJ, Martin-Ruiz, CM, Montgomery, GW, Adolfsson, AN, Reynolds, CA, Samani, NJ, Suchiman, HED, Viljanen, A, von Zglinicki, T, Wright, MJ, Hottenga, JJ, Boomsma, DI, Rantanen, T, Kaprio, JA, Nyholt, DR, Martin, NG, Nyberg, L, Adolfsson, R, Kuh, D, Starr, JM, Deary, IJ, Slagboom, PE (Eline), Duijn, Cornelia, Codd, V, Pedersen, NL, Hagg, S, Zhan, Y, Karlsson, R, Gerritsen, L, Ploner, A, van der Lee, Sven, Broer, Linda, Deelen, J, Marioni, RE, Wong, A, Lundquist, A, Zhu, G, Hansell, NK, Sillanpaa, E, Fedko, IO, Amin, Najaf, Beekman, M, de Craen, AJM, Degerman, S, Harris, SE, Kan, KJ, Martin-Ruiz, CM, Montgomery, GW, Adolfsson, AN, Reynolds, CA, Samani, NJ, Suchiman, HED, Viljanen, A, von Zglinicki, T, Wright, MJ, Hottenga, JJ, Boomsma, DI, Rantanen, T, Kaprio, JA, Nyholt, DR, Martin, NG, Nyberg, L, Adolfsson, R, Kuh, D, Starr, JM, Deary, IJ, Slagboom, PE (Eline), Duijn, Cornelia, Codd, V, and Pedersen, NL

Published
2017

47. Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study

Author

Vries, PS, Sabater-Lleal, M, Chasman, DI, Trompet, S, Ahluwalia, TS, Teumer, A, Kleber, ME, Chen, MH, Wang, JJ, Attia, JR, Marioni, RE, Steri, M, Weng, LC, Pool, R, Grossmann, V, Brody, JA, Venturini, C, Tanaka, T, Rose, LM, Oldmeadow, C, Mazur, J, Basu, S, Franberg, M, Yang, Q, Ligthart, Symen, Hottenga, JJ, Rumley, A, Mulas, A, de Craen, AJM, Grotevendt, A, Taylor, KD, Delgado, GE, Kifley, A, Lopez, LM, Berentzen, TL, Mangino, M, Bandinelli, S, Morrison, AC, Hamsten, A, Tofler, G, de Maat, Moniek, Draisma, HHM, Lowe, GD, Zoledziewska, M, Sattar, N, Lackner, KJ, Volker, U, McKnight, B, Huang, J, Holliday, EG, McEvoy, M A, Starr, JM, Hysi, PG, Hernandez, DG, Guan, WH, Rivadeneira, Fernando, McArdle, WL, Slagboom, PE (Eline), Zeller, T, Psaty, BM, Uitterlinden, André, de Geus, EJC, Stott, DJ, Binder, H, Hofman, Bert, Franco Duran, OH, Rotter, JI, Ferrucci, L, Spector, TD, Deary, IJ, Marz, W, Greinacher, A, Wild, PS, Cucca, F, Boomsma, DI, Watkins, H, Tang, WH, Ridker, PM, Jukema, JW, Scott, RJ, Mitchell, P, Hansen, T, O'Donnell, CJ, Smith, NL, Strachan, DP, Dehghan, Abbas, Vries, PS, Sabater-Lleal, M, Chasman, DI, Trompet, S, Ahluwalia, TS, Teumer, A, Kleber, ME, Chen, MH, Wang, JJ, Attia, JR, Marioni, RE, Steri, M, Weng, LC, Pool, R, Grossmann, V, Brody, JA, Venturini, C, Tanaka, T, Rose, LM, Oldmeadow, C, Mazur, J, Basu, S, Franberg, M, Yang, Q, Ligthart, Symen, Hottenga, JJ, Rumley, A, Mulas, A, de Craen, AJM, Grotevendt, A, Taylor, KD, Delgado, GE, Kifley, A, Lopez, LM, Berentzen, TL, Mangino, M, Bandinelli, S, Morrison, AC, Hamsten, A, Tofler, G, de Maat, Moniek, Draisma, HHM, Lowe, GD, Zoledziewska, M, Sattar, N, Lackner, KJ, Volker, U, McKnight, B, Huang, J, Holliday, EG, McEvoy, M A, Starr, JM, Hysi, PG, Hernandez, DG, Guan, WH, Rivadeneira, Fernando, McArdle, WL, Slagboom, PE (Eline), Zeller, T, Psaty, BM, Uitterlinden, André, de Geus, EJC, Stott, DJ, Binder, H, Hofman, Bert, Franco Duran, OH, Rotter, JI, Ferrucci, L, Spector, TD, Deary, IJ, Marz, W, Greinacher, A, Wild, PS, Cucca, F, Boomsma, DI, Watkins, H, Tang, WH, Ridker, PM, Jukema, JW, Scott, RJ, Mitchell, P, Hansen, T, O'Donnell, CJ, Smith, NL, Strachan, DP, and Dehghan, Abbas

Published
2017

48. Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI

Author

Verhaaren, BFJ, Debette, S, Bis, JC, Smith, JA, Ikram, MK, Adams, HH, Beecham, AH, Rajan, KB, Lopez, LM, Barral, S, Van Buchem, MA, Van Der Grond, J, Smith, AV, Hegenscheid, K, Aggarwal, NT, De Andrade, M, Atkinson, EJ, Beekman, M, Beiser, AS, Blanton, SH, Boerwinkle, E, Brickman, AM, Bryan, RN, Chauhan, G, Chen, CPLH, Chouraki, V, De Craen, AJM, Crivello, F, Deary, IJ, Deelen, J, De Jager, PL, Dufouil, C, Elkind, MSV, Evans, DA, Freudenberger, P, Gottesman, RF, Gunason, V, Habes, M, Heckbert, SR, Heiss, G, Hilal, S, Hofer, E, Hofman, A, Ibrahim-Verbaas, CA, Knopman, DS, Lewis, CE, Liao, J, Liewald, DCM, Luciano, M, Van Der Lugt, A, Martinez, OO, Mayeux, R, Mazoyer, B, Nalls, M, Nauck, M, Niessen, WJ, Oostra, BA, Psaty, BM, Rice, KM, Rotter, JI, Von Sarnowski, B, Schmidt, H, Schreiner, PJ, Schuur, M, Sidney, SS, Sigurdsson, S, Slagboom, PE, Stott, DJM, Van Swieten, JC, Teumer, A, Töglhofer, AM, Traylor, M, Trompet, S, Turner, ST, Tzourio, C, Uh, HW, Uitterlinden, AG, Vernooij, MW, Wang, JJ, Wong, TY, Wardlaw, JM, Windham, BG, Wittfeld, K, Wolf, C, Wright, CB, Yang, Q, Zhao, W, Zijdenbos, A, Jukema, JW, Sacco, RL, Kardia, SLR, Amouyel, P, Mosley, TH, Longstreth, WT, DeCarli, CC, Van Duijn, CM, Schmidt, R, Launer, LJ, and Grabe, HJ

Subjects
genome-wide association study, hypertension, leukoencephalopathies, polymorphisms, single nucleotide, cerebrovascular disorders, cerebral small vessel diseases
Abstract

© 2015 American Heart Association, Inc. Background-The burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies. Methods and Results-We included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10-19) and identified novel loci on chr10q24 (P=1.6×10-9) and chr2p21 (P=4.4×10-8). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10-8) and chr2p16 (P=1.5×10-8). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16). Conclusions-We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

Published
2015
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49. Non-response to (statin) therapy: the importance of distinguishing non-responders from non-adherers in pharmacogenetic studies

Author

Trompet, S, Postmus, I, Slagboom, PE, Heijmans, BT, Smit, RAJ, Maier, AB, Buckley, BM, Sattar, N, Stott, DJ, Ford, I, Westendorp, RGJ, de Craen, AJM, Jukema, JW, Trompet, S, Postmus, I, Slagboom, PE, Heijmans, BT, Smit, RAJ, Maier, AB, Buckley, BM, Sattar, N, Stott, DJ, Ford, I, Westendorp, RGJ, de Craen, AJM, and Jukema, JW

Abstract

PURPOSE: In pharmacogenetic research, genetic variation in non-responders and high responders is compared with the aim to identify the genetic loci responsible for this variation in response. However, an important question is whether the non-responders are truly biologically non-responsive or actually non-adherent? Therefore, the aim of this study was to describe, within the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER), characteristics of both non-responders and high responders of statin treatment in order to possibly discriminate non-responders from non-adherers. METHODS: Baseline characteristics of non-responders to statin therapy (≤10 % LDL-C reduction) were compared with those of high responders (>40 % LDL-C reduction) through a linear regression analysis. In addition, pharmacogenetic candidate gene analysis was performed to show the effect of excluding non-responders from the analysis. RESULTS: Non-responders to statin therapy were younger (p = 0.001), more often smoked (p < 0.001), had a higher alcohol consumption (p < 0.001), had lower LDL cholesterol levels (p < 0.001), had a lower prevalence of hypertension (p < 0.001), and had lower cognitive function (p = 0.035) compared to subjects who highly responded to pravastatin treatment. Moreover, excluding non-responders from pharmacogenetic studies yielded more robust results, as standard errors decreased. CONCLUSION: Our results suggest that non-responders to statin therapy are more likely to actually be non-adherers, since they have more characteristics that are viewed as indicators of high self-perceived health and low disease awareness, possibly making the subjects less adherent to study medication. We suggest that in pharmacogenetic research, extreme non-responders should be excluded to overcome the problem that non-adherence is investigated instead of non-responsiveness.

Published
2016

50. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins

Author

Postmus, I, Warren, HR, Trompet, S, Arsenault, BJ, Avery, CL, Bis, JC, Chasman, DI, de Keyser, Toke, Deshmukh, HA, Evans, DS, Feng, Q, Li, X, Smit, RAJ, Smith, AV, Sun, F, Taylor, KD, Arnold, AM, Barnes, MR, Barratt, BJ, Betteridge, J, Boekholdt, SM, Boerwinkle, E, Buckley, BM, Chen, YDI, de Craen, AJM, Cummings, SR, Denny, JC, Dube, MP, Durrington, PN, Eiriksdottir, G, Ford, I, Guo, X, Harris, TB, Heckbert, SR, Hofman, Bert, Hovingh, GK, Kastelein, JJP, Launer, LJ, Liu, C-T, Liu, Y, Lumley, T, Mckeigue, PM, Munroe, PB, Neil, A, Nickerson, DA, Nyberg, F, O'Brien, E, O'Donnell, CJ, Post, W, Poulter, N, Vasan, RS, Rice, K, Rich, SS, Rivadeneira, Fernando, Sattar, N, Sever, P, Shaw-Hawkins, S, Shields, DC, Slagboom, PE (Eline), Smith, NL, Smith, JD, Sotoodehnia, N, Stanton, A, Stott, DJ, Stricker, Bruno, Sturmer, T, Uitterlinden, André, Wei, W-Q, Westendorp, RGJ, Whitsel, EA, Wiggins, KL, Wilke, RA, Ballantyne, CM, Colhoun, HM, Cupples, LA, Franco Duran, OH, Gudnason, V, Hitman, G, Palmer, CNA, Psaty, BM, Ridker, PM, Stafford, JM, Stein, CM, Tardif, J-C, Caulfield, MJ, Jukema, JW, Rotter, JI, Krauss, RM, Postmus, I, Warren, HR, Trompet, S, Arsenault, BJ, Avery, CL, Bis, JC, Chasman, DI, de Keyser, Toke, Deshmukh, HA, Evans, DS, Feng, Q, Li, X, Smit, RAJ, Smith, AV, Sun, F, Taylor, KD, Arnold, AM, Barnes, MR, Barratt, BJ, Betteridge, J, Boekholdt, SM, Boerwinkle, E, Buckley, BM, Chen, YDI, de Craen, AJM, Cummings, SR, Denny, JC, Dube, MP, Durrington, PN, Eiriksdottir, G, Ford, I, Guo, X, Harris, TB, Heckbert, SR, Hofman, Bert, Hovingh, GK, Kastelein, JJP, Launer, LJ, Liu, C-T, Liu, Y, Lumley, T, Mckeigue, PM, Munroe, PB, Neil, A, Nickerson, DA, Nyberg, F, O'Brien, E, O'Donnell, CJ, Post, W, Poulter, N, Vasan, RS, Rice, K, Rich, SS, Rivadeneira, Fernando, Sattar, N, Sever, P, Shaw-Hawkins, S, Shields, DC, Slagboom, PE (Eline), Smith, NL, Smith, JD, Sotoodehnia, N, Stanton, A, Stott, DJ, Stricker, Bruno, Sturmer, T, Uitterlinden, André, Wei, W-Q, Westendorp, RGJ, Whitsel, EA, Wiggins, KL, Wilke, RA, Ballantyne, CM, Colhoun, HM, Cupples, LA, Franco Duran, OH, Gudnason, V, Hitman, G, Palmer, CNA, Psaty, BM, Ridker, PM, Stafford, JM, Stein, CM, Tardif, J-C, Caulfield, MJ, Jukema, JW, Rotter, JI, and Krauss, RM

Published
2016

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