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16 results on '"CHARGE consortium"'

1. Genome‐Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent

Author

Smith, Caren E, Follis, Jack L, Dashti, Hassan S, Tanaka, Toshiko, Graff, Mariaelisa, Fretts, Amanda M, Kilpeläinen, Tuomas O, Wojczynski, Mary K, Richardson, Kris, Nalls, Mike A, Schulz, Christina‐Alexandra, Liu, Yongmei, Frazier‐Wood, Alexis C, van Eekelen, Esther, Wang, Carol, de Vries, Paul S, Mikkilä, Vera, Rohde, Rebecca, Psaty, Bruce M, Hansen, Torben, Feitosa, Mary F, Lai, Chao‐Qiang, Houston, Denise K, Ferruci, Luigi, Ericson, Ulrika, Wang, Zhe, de Mutsert, Renée, Oddy, Wendy H, de Jonge, Ester AL, Seppälä, Ilkka, Justice, Anne E, Lemaitre, Rozenn N, Sørensen, Thorkild IA, Province, Michael A, Parnell, Laurence D, Garcia, Melissa E, Bandinelli, Stefania, Orho‐Melander, Marju, Rich, Stephen S, Rosendaal, Frits R, Pennell, Craig E, Jong, Jessica C Kiefte‐de, Kähönen, Mika, Young, Kristin L, Pedersen, Oluf, Aslibekyan, Stella, Rotter, Jerome I, Mook‐Kanamori, Dennis O, Zillikens, M Carola, Raitakari, Olli T, North, Kari E, Overvad, Kim, Arnett, Donna K, Hofman, Albert, Lehtimäki, Terho, Tjønneland, Anne, Uitterlinden, André G, Rivadeneira, Fernando, Franco, Oscar H, German, J Bruce, Siscovick, David S, Cupples, L Adrienne, and Ordovás, José M

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Genetics, Prevention, Nutrition, Obesity, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Cancer, Metabolic and endocrine, Actins, Adult, Aged, Body Mass Index, Cohort Studies, Cross-Sectional Studies, Dairy Products, Female, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Myosin-Light-Chain Phosphatase, Polymorphism, Single Nucleotide, White People, body mass index, CHARGE consortium, dairy intake, genome-wide interaction study, meta-analysis, Food Sciences, Public Health and Health Services, Food Science, Nutrition & Dietetics, Food sciences, Nutrition and dietetics
Abstract

ScopeBody weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter-individual variability in associations between body weight and dairy consumption.Methods and resultsA genome-wide interaction study to discover genetic variants that account for variation in BMI in the context of low-fat, high-fat and total dairy intake in cross-sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta-analyzed. Twenty-six genetic variants reached the selected significance threshold (p-interaction

Published
2018

2. Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

Author

Graff, Mariaelisa, Scott, Robert A, Justice, Anne E, Young, Kristin L, Feitosa, Mary F, Barata, Llilda, Winkler, Thomas W, Chu, Audrey Y, Mahajan, Anubha, Hadley, David, Xue, Luting, Workalemahu, Tsegaselassie, Heard-Costa, Nancy L, den Hoed, Marcel, Ahluwalia, Tarunveer S, Qi, Qibin, Ngwa, Julius S, Renström, Frida, Quaye, Lydia, Eicher, John D, Hayes, James E, Cornelis, Marilyn, Kutalik, Zoltan, Lim, Elise, Luan, Jian'an, Huffman, Jennifer E, Zhang, Weihua, Zhao, Wei, Griffin, Paula J, Haller, Toomas, Ahmad, Shafqat, Marques-Vidal, Pedro M, Bien, Stephanie, Yengo, Loic, Teumer, Alexander, Smith, Albert Vernon, Kumari, Meena, Harder, Marie Neergaard, Justesen, Johanne Marie, Kleber, Marcus E, Hollensted, Mette, Lohman, Kurt, Rivera, Natalia V, Whitfield, John B, Zhao, Jing Hua, Stringham, Heather M, Lyytikäinen, Leo-Pekka, Huppertz, Charlotte, Willemsen, Gonneke, Peyrot, Wouter J, Wu, Ying, Kristiansson, Kati, Demirkan, Ayse, Fornage, Myriam, Hassinen, Maija, Bielak, Lawrence F, Cadby, Gemma, Tanaka, Toshiko, Mägi, Reedik, van der Most, Peter J, Jackson, Anne U, Bragg-Gresham, Jennifer L, Vitart, Veronique, Marten, Jonathan, Navarro, Pau, Bellis, Claire, Pasko, Dorota, Johansson, Åsa, Snitker, Søren, Cheng, Yu-Ching, Eriksson, Joel, Lim, Unhee, Aadahl, Mette, Adair, Linda S, Amin, Najaf, Balkau, Beverley, Auvinen, Juha, Beilby, John, Bergman, Richard N, Bergmann, Sven, Bertoni, Alain G, Blangero, John, Bonnefond, Amélie, Bonnycastle, Lori L, Borja, Judith B, Brage, Søren, Busonero, Fabio, Buyske, Steve, Campbell, Harry, Chines, Peter S, Collins, Francis S, Corre, Tanguy, Smith, George Davey, Delgado, Graciela E, Dueker, Nicole, Dörr, Marcus, Ebeling, Tapani, Eiriksdottir, Gudny, Esko, Tõnu, and Faul, Jessica D

Subjects
CHARGE Consortium, EPIC-InterAct Consortium, PAGE Consortium, Humans, Obesity, Genetic Predisposition to Disease, Body Mass Index, Waist-Hip Ratio, Exercise, Genotype, Female, Male, Adiposity, Waist Circumference, Genome-Wide Association Study, Epigenomics, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Genetics, Developmental Biology
Abstract

Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

Published
2017

3. Association of Forced Vital Capacity with the Developmental Gene NCOR2

Author

Minelli, Cosetta, Dean, Charlotte H, Hind, Matthew, Alves, Alexessander Couto, Amaral, André FS, Siroux, Valerie, Huikari, Ville, Soler Artigas, María, Evans, David M, Loth, Daan W, Bossé, Yohan, Postma, Dirkje S, Sin, Don, Thompson, John, Demenais, Florence, Henderson, John, Bouzigon, Emmanuelle, Jarvis, Deborah, Järvelin, Marjo-Riitta, and Burney, Peter

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Lung, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Respiratory, Adult, Aged, Female, Forced Expiratory Volume, Gene Expression Profiling, Genes, Developmental, Genetic Association Studies, Genome-Wide Association Study, Humans, Male, Middle Aged, Nuclear Receptor Co-Repressor 2, Organogenesis, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Young Adult, SpiroMeta consortium, CHARGE consortium, General Science & Technology
Abstract

BackgroundForced Vital Capacity (FVC) is an important predictor of all-cause mortality in the absence of chronic respiratory conditions. Epidemiological evidence highlights the role of early life factors on adult FVC, pointing to environmental exposures and genes affecting lung development as risk factors for low FVC later in life. Although highly heritable, a small number of genes have been found associated with FVC, and we aimed at identifying further genetic variants by focusing on lung development genes.MethodsPer-allele effects of 24,728 SNPs in 403 genes involved in lung development were tested in 7,749 adults from three studies (NFBC1966, ECRHS, EGEA). The most significant SNP for the top 25 genes was followed-up in 46,103 adults (CHARGE and SpiroMeta consortia) and 5,062 children (ALSPAC). Associations were considered replicated if the replication p-value survived Bonferroni correction (p

Published
2016

4. Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities

Author

Luciano, Michelle, Marioni, Riccardo E, Hernández, Maria Valdés, Maniega, Susana Muñoz, Hamilton, Iona F, Royle, Natalie A, Chauhan, Ganesh, Bis, Joshua C, Debette, Stephanie, DeCarli, Charles, Fornage, Myriam, Schmidt, Reinhold, Ikram, M Arfan, Launer, Lenore J, Seshadri, Sudha, Bastin, Mark E, Porteous, David J, Wardlaw, Joanna, and Deary, Ian J

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Biomedical Imaging, Brain Disorders, Neurosciences, Prevention, Basic Behavioral and Social Science, Behavioral and Social Science, Mental Health, Aging, Aetiology, 2.1 Biological and endogenous factors, Mental health, Neurological, Brain, Cognition, Female, Forecasting, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Multifactorial Inheritance, Neuropsychological Tests, polygenic prediction, white matter hyperintensities, brain infarct, intracranial volume, hippocampal volume, total brain volume, general cognitive ability, Generation Scotland, CHARGE Consortium, Paediatrics and Reproductive Medicine, Cognitive Sciences, Genetics & Heredity, Clinical sciences, Reproductive medicine
Abstract

Structural brain magnetic resonance imaging (MRI) traits share part of their genetic variance with cognitive traits. Here, we use genetic association results from large meta-analytic studies of genome-wide association (GWA) for brain infarcts (BI), white matter hyperintensities, intracranial, hippocampal, and total brain volumes to estimate polygenic scores for these traits in three Scottish samples: Generation Scotland: Scottish Family Health Study (GS:SFHS), and the Lothian Birth Cohorts of 1936 (LBC1936) and 1921 (LBC1921). These five brain MRI trait polygenic scores were then used to: (1) predict corresponding MRI traits in the LBC1936 (numbers ranged 573 to 630 across traits), and (2) predict cognitive traits in all three cohorts (in 8,115-8,250 persons). In the LBC1936, all MRI phenotypic traits were correlated with at least one cognitive measure, and polygenic prediction of MRI traits was observed for intracranial volume. Meta-analysis of the correlations between MRI polygenic scores and cognitive traits revealed a significant negative correlation (maximal r = 0.08) between the HV polygenic score and measures of global cognitive ability collected in childhood and in old age in the Lothian Birth Cohorts. The lack of association to a related general cognitive measure when including the GS:SFHS points to either type 1 error or the importance of using prediction samples that closely match the demographics of the GWA samples from which prediction is based. Ideally, these analyses should be repeated in larger samples with data on both MRI and cognition, and using MRI GWA results from even larger meta-analysis studies.

Published
2015

5. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

Author

Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, and Tachmazidou, Ioanna

Subjects
CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Humans, Genetic Predisposition to Disease, Body Mass Index, Body Size, Waist-Hip Ratio, Chromosome Mapping, Age Factors, Sex Characteristics, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Developmental Biology, Genetics
Abstract

Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR

Published
2015

6. Common genetic variants influence human subcortical brain structures

Author

Hibar, Derrek P, Stein, Jason L, Renteria, Miguel E, Arias-Vasquez, Alejandro, Desrivières, Sylvane, Jahanshad, Neda, Toro, Roberto, Wittfeld, Katharina, Abramovic, Lucija, Andersson, Micael, Aribisala, Benjamin S, Armstrong, Nicola J, Bernard, Manon, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brown, Andrew A, Mallar Chakravarty, M, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, den Braber, Anouk, Giddaluru, Sudheer, Goldman, Aaron L, Grimm, Oliver, Guadalupe, Tulio, Hass, Johanna, Woldehawariat, Girma, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Olde Loohuis, Loes M, Luciano, Michelle, Macare, Christine, Mather, Karen A, Mattheisen, Manuel, Milaneschi, Yuri, Nho, Kwangsik, Papmeyer, Martina, Ramasamy, Adaikalavan, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rose, Emma J, Salami, Alireza, Sämann, Philipp G, Schmaal, Lianne, Schork, Andrew J, Shin, Jean, Strike, Lachlan T, Teumer, Alexander, van Donkelaar, Marjolein MJ, van Eijk, Kristel R, Walters, Raymond K, Westlye, Lars T, Whelan, Christopher D, Winkler, Anderson M, Zwiers, Marcel P, Alhusaini, Saud, Athanasiu, Lavinia, Ehrlich, Stefan, Hakobjan, Marina MH, Hartberg, Cecilie B, Haukvik, Unn K, Heister, Angelien JGAM, Hoehn, David, Kasperaviciute, Dalia, Liewald, David CM, Lopez, Lorna M, Makkinje, Remco RR, Matarin, Mar, Naber, Marlies AM, Reese McKay, D, Needham, Margaret, Nugent, Allison C, Pütz, Benno, Royle, Natalie A, Shen, Li, Sprooten, Emma, Trabzuni, Daniah, van der Marel, Saskia SL, van Hulzen, Kimm JE, Walton, Esther, Wolf, Christiane, Almasy, Laura, Ames, David, Arepalli, Sampath, Assareh, Amelia A, Bastin, Mark E, Brodaty, Henry, Bulayeva, Kazima B, Carless, Melanie A, Cichon, Sven, Corvin, Aiden, Curran, Joanne E, and Czisch, Michael

Subjects
Biological Psychology, Biological Sciences, Genetics, Psychology, Brain Disorders, Human Genome, Mental Health, Neurosciences, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Neurological, Mental health, Adolescent, Adult, Aged, Aged, 80 and over, Aging, Apoptosis, Brain, Caudate Nucleus, Child, Female, Gene Expression Regulation, Developmental, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Membrane Proteins, Middle Aged, Organ Size, Putamen, Sex Characteristics, Skull, Young Adult, Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN, IMAGEN, SYS, General Science & Technology
Abstract

The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction.

Published
2015

7. Sequencing of SCN5A Identifies Rare and Common Variants Associated With Cardiac Conduction

Author

Magnani, Jared W, Brody, Jennifer A, Prins, Bram P, Arking, Dan E, Lin, Honghuang, Yin, Xiaoyan, Liu, Ching-Ti, Morrison, Alanna C, Zhang, Feng, Spector, Tim D, Alonso, Alvaro, Bis, Joshua C, Heckbert, Susan R, Lumley, Thomas, Sitlani, Colleen M, Cupples, L Adrienne, Lubitz, Steven A, Soliman, Elsayed Z, Pulit, Sara L, Newton-Cheh, Christopher, O'Donnell, Christopher J, Ellinor, Patrick T, Benjamin, Emelia J, Muzny, Donna M, Gibbs, Richard A, Santibanez, Jireh, Taylor, Herman A, Rotter, Jerome I, Lange, Leslie A, Psaty, Bruce M, Jackson, Rebecca, Rich, Stephen S, Boerwinkle, Eric, Jamshidi, Yalda, and Sotoodehnia, Nona

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Human Genome, Heart Disease, Biotechnology, Genetics, Clinical Research, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Conduction System, Heart Diseases, Humans, Male, Middle Aged, NAV1.5 Voltage-Gated Sodium Channel, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, electrocardiography, genomics, CHARGE Consortium, NHLBI Exome Sequencing Project, UK10K, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThe cardiac sodium channel SCN5A regulates atrioventricular and ventricular conduction. Genetic variants in this gene are associated with PR and QRS intervals. We sought to characterize further the contribution of rare and common coding variation in SCN5A to cardiac conduction.Methods and resultsIn Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study, we performed targeted exonic sequencing of SCN5A (n=3699, European ancestry individuals) and identified 4 common (minor allele frequency >1%) and 157 rare variants. Common and rare SCN5A coding variants were examined for association with PR and QRS intervals through meta-analysis of European ancestry participants from CHARGE, National Heart, Lung, and Blood Institute's Exome Sequencing Project (n=607), and the UK10K (n=1275) and by examining Exome Sequencing Project African ancestry participants (n=972). Rare coding SCN5A variants in aggregate were associated with PR interval in European and African ancestry participants (P=1.3×10(-3)). Three common variants were associated with PR and QRS interval duration among European ancestry participants and one among African ancestry participants. These included 2 well-known missense variants: rs1805124 (H558R) was associated with PR and QRS shortening in European ancestry participants (P=6.25×10(-4) and P=5.2×10(-3), respectively) and rs7626962 (S1102Y) was associated with PR shortening in those of African ancestry (P=2.82×10(-3)). Among European ancestry participants, 2 novel synonymous variants, rs1805126 and rs6599230, were associated with cardiac conduction. Our top signal, rs1805126 was associated with PR and QRS lengthening (P=3.35×10(-7) and P=2.69×10(-4), respectively) and rs6599230 was associated with PR shortening (P=2.67×10(-5)).ConclusionsBy sequencing SCN5A, we identified novel common and rare coding variants associated with cardiac conduction.

Published
2014

8. Genome-wide association analysis of red blood cell traits in African Americans: the COGENT Network

Author

Chen, Zhao, Tang, Hua, Qayyum, Rehan, Schick, Ursula M, Nalls, Michael A, Handsaker, Robert, Li, Jin, Lu, Yingchang, Yanek, Lisa R, Keating, Brendan, Meng, Yan, van Rooij, Frank JA, Okada, Yukinori, Kubo, Michiaki, Rasmussen-Torvik, Laura, Keller, Margaux F, Lange, Leslie, Evans, Michele, Bottinger, Erwin P, Linderman, Michael D, Ruderfer, Douglas M, Hakonarson, Hakon, Papanicolaou, George, Zonderman, Alan B, Gottesman, Omri, Project, CHARGE Consortium BioBank Japan, Thomson, Cynthia, Ziv, Elad, Singleton, Andrew B, Loos, Ruth JF, Sleiman, Patrick MA, Ganesh, Santhi, McCarroll, Steven, Becker, Diane M, Wilson, James G, Lettre, Guillaume, and Reiner, Alexander P

Subjects
Biological Sciences, Genetics, Human Genome, Clinical Research, Hematology, Aetiology, 2.1 Biological and endogenous factors, Blood, Adolescent, Adult, Black or African American, Child, Chromosomes, Human, Pair 16, Cohort Studies, Erythrocyte Count, Erythrocyte Indices, Erythrocytes, Female, Genome-Wide Association Study, Hemoglobins, Humans, Male, Polymorphism, Single Nucleotide, White People, Young Adult, alpha-Globins, BioBank Japan Project, CHARGE Consortium, Medical and Health Sciences, Genetics & Heredity
Abstract

Laboratory red blood cell (RBC) measurements are clinically important, heritable and differ among ethnic groups. To identify genetic variants that contribute to RBC phenotypes in African Americans (AAs), we conducted a genome-wide association study in up to ~16 500 AAs. The alpha-globin locus on chromosome 16pter [lead SNP rs13335629 in ITFG3 gene; P < 1E-13 for hemoglobin (Hgb), RBC count, mean corpuscular volume (MCV), MCH and MCHC] and the G6PD locus on Xq28 [lead SNP rs1050828; P < 1E - 13 for Hgb, hematocrit (Hct), MCV, RBC count and red cell distribution width (RDW)] were each associated with multiple RBC traits. At the alpha-globin region, both the common African 3.7 kb deletion and common single nucleotide polymorphisms (SNPs) appear to contribute independently to RBC phenotypes among AAs. In the 2p21 region, we identified a novel variant of PRKCE distinctly associated with Hct in AAs. In a genome-wide admixture mapping scan, local European ancestry at the 6p22 region containing HFE and LRRC16A was associated with higher Hgb. LRRC16A has been previously associated with the platelet count and mean platelet volume in AAs, but not with Hgb. Finally, we extended to AAs the findings of association of erythrocyte traits with several loci previously reported in Europeans and/or Asians, including CD164 and HBS1L-MYB. In summary, this large-scale genome-wide analysis in AAs has extended the importance of several RBC-associated genetic loci to AAs and identified allelic heterogeneity and pleiotropy at several previously known genetic loci associated with blood cell traits in AAs.

Published
2013

9. A Genome-Wide Association Study of Depressive Symptoms

Author

Hek, Karin, Demirkan, Ayse, Lahti, Jari, Terracciano, Antonio, Teumer, Alexander, Cornelis, Marilyn C, Amin, Najaf, Bakshis, Erin, Baumert, Jens, Ding, Jingzhong, Liu, Yongmei, Marciante, Kristin, Meirelles, Osorio, Nalls, Michael A, Sun, Yan V, Vogelzangs, Nicole, Yu, Lei, Bandinelli, Stefania, Benjamin, Emelia J, Bennett, David A, Boomsma, Dorret, Cannas, Alessandra, Coker, Laura H, de Geus, Eco, De Jager, Philip L, Diez-Roux, Ana V, Purcell, Shaun, Hu, Frank B, Rimm, Eric B, Hunter, David J, Jensen, Majken K, Curhan, Gary, Rice, Kenneth, Penman, Alan D, Rotter, Jerome I, Sotoodehnia, Nona, Emeny, Rebecca, Eriksson, Johan G, Evans, Denis A, Ferrucci, Luigi, Fornage, Myriam, Gudnason, Vilmundur, Hofman, Albert, Illig, Thomas, Kardia, Sharon, Kelly-Hayes, Margaret, Koenen, Karestan, Kraft, Peter, Kuningas, Maris, Massaro, Joseph M, Melzer, David, Mulas, Antonella, Mulder, Cornelis L, Murray, Anna, Oostra, Ben A, Palotie, Aarno, Penninx, Brenda, Petersmann, Astrid, Pilling, Luke C, Psaty, Bruce, Rawal, Rajesh, Reiman, Eric M, Schulz, Andrea, Shulman, Joshua M, Singleton, Andrew B, Smith, Albert V, Sutin, Angelina R, Uitterlinden, André G, Völzke, Henry, Widen, Elisabeth, Yaffe, Kristine, Zonderman, Alan B, Cucca, Francesco, Harris, Tamara, Ladwig, Karl-Heinz, Llewellyn, David J, Räikkönen, Katri, Tanaka, Toshiko, van Duijn, Cornelia M, Grabe, Hans J, Launer, Lenore J, Lunetta, Kathryn L, Mosley, Thomas H, Newman, Anne B, Tiemeier, Henning, and Murabito, Joanne

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Mental Illness, Clinical Research, Brain Disorders, Depression, Human Genome, Mental Health, 2.1 Biological and endogenous factors, Aged, Aged, 80 and over, Chromosomes, Human, Pair 5, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Center for Epidemiologic Studies Depression Scale, CHARGE consortium, depression, depressive symptoms, genetics, genome-wide association study, meta-analysis, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Biological sciences, Biomedical and clinical sciences, Psychology
Abstract

BackgroundDepression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.MethodsIn this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p

Published
2013

10. Gene-based analysis in HRC imputed genome wide association data identifies three novel genes for Alzheimer’s disease

Author

Sudha Seshadri, John Hardy, Wolfgang Maier, Janet C Harwood, Emily Baker, Carol Brayne, Julie Williams, Lesley Jones, Gerard D. Schellenberg, Reinhard Heun, Frank Jessen, Valentina Escott-Price, Matthew Hill, Oliver Peters, John Powell, Dobril Ivanov, Peter Passmore, Martin Dichgans, Lutz Frölich, Alfredo Ramirez, Aura Frizzati, Alison Goate, Kevin Morgan, Paul Morgan, Carlos Cruchaga, Ganna Leonenko, Gianfranco Spalletta, Paola Bossù, Michael Gill, Clive Holmes, Simon Mead, Detelina Grozeva, Peter Holmans, Philippe Amouyel, Rebecca Sims, Nicholas D. Allen, Baker, Emily [0000-0001-5691-597X], Grozeva, Detelina [0000-0003-3239-8415], Brayne, Carol [0000-0001-5307-663X], Mead, Simon [0000-0002-4326-1468], Ramirez, Alfredo [0000-0003-4991-763X], Ivanov, Dobril [0000-0001-6271-6301], Hill, Matthew [0000-0001-6776-8709], Holmans, Peter [0000-0003-0870-9412], Schellenberg, Gerard D [0000-0003-1115-2475], Apollo - University of Cambridge Repository, van Duijn, Cornelia [0000-0002-2374-9204], and Williams, Julie [0000-0002-4069-0259]

Subjects
0301 basic medicine, Male, DNA Repair, Gene Expression, Social Sciences, genetics [Alzheimer Disease], genetics [Cholesterol], Genome-wide association study, Alzheimer's Disease, Biochemistry, IGAP consortia, pathology [Centrosome], pathology [Alzheimer Disease], 0302 clinical medicine, Sociology, metabolism [Centrosome], Consortia, Medicine and Health Sciences, genetics [Amyloid beta-Peptides], Genetics, Regulation of gene expression, metabolism [Inflammation], Multidisciplinary, biology, metabolism [Proteins], Neurodegenerative Diseases, Nuclear Receptor Subfamily 1, Group F, Member 1, Genomics, Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha, Circadian Rhythm, Circadian Rhythms, Cholesterol, Neurology, Medicine, Female, metabolism [Alzheimer Disease], Research Article, medicine.medical_specialty, genetics [Circadian Rhythm], Amyloid beta, Science, Lipoproteins, metabolism [Amyloid beta-Peptides], Single-nucleotide polymorphism, genetics [Energy Metabolism], Polymorphism, Single Nucleotide, GERAD Consortium, Apolipoprotein Genes, Molecular Genetics, genetics [Inflammation], 03 medical and health sciences, Alzheimer Disease, genetics [Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha], Molecular genetics, Mental Health and Psychiatry, medicine, Genome-Wide Association Studies, GERAD/PERADES, Dementia, Humans, genetics [DNA Damage], Gene Regulation, ddc:610, genetics [DNA Repair], Gene, Molecular Biology, EADI Consortium, pathology [Inflammation], Centrosome, Inflammation, Amyloid beta-Peptides, Genome, Human, Biology and Life Sciences, Proteins, Computational Biology, Human Genetics, metabolism [Cholesterol], medicine.disease, Genome Analysis, ADGC Consortium, genetics [Proteins], 030104 developmental biology, metabolism [Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha], CHARGE Consortium, biology.protein, Energy Metabolism, Chronobiology, 030217 neurology & neurosurgery, genetics [Nuclear Receptor Subfamily 1, Group F, Member 1], metabolism [Nuclear Receptor Subfamily 1, Group F, Member 1], DNA Damage, Genome-Wide Association Study
Abstract

A novel POLARIS gene-based analysis approach was employed to compute gene-based polygenic risk score (PRS) for all individuals in the latest HRC imputed GERAD (N cases=3,332 and N controls=9,832) data using the International Genomics of Alzheimer’s Project summary statistics (N cases=13,676 and N controls=27,322, excluding GERAD subjects) to identify the SNPs and weight their risk alleles for the PRS score. SNPs were assigned to known, protein coding genes using GENCODE (v19). SNPs are assigned using both 1) no window around the gene and 2) a window of 35kb upstream and 10kb downstream to include transcriptional regulatory elements. The overall association of a gene is determined using a logistic regression model, adjusting for population covariates. Three novel gene-wide significant genes were determined from the POLARIS gene-based analysis using a gene window; PPARGC1A, RORA and ZNF423 . The ZNF423 gene resides in an Alzheimer’s disease (AD)-specific protein network which also includes other AD-related genes. The PPARGC1A gene has been linked to energy metabolism and the generation of amyloid beta plaques and the RORA has strong links with genes which are differentially expressed in the hippocampus. We also demonstrate no enrichment for genes in either loss of function intolerant or conserved noncoding sequence regions.

Published
2019

11. Genome-wide physical activity interactions in adiposity ― a meta-analysis of 200,452 adults

Author

Mariaelisa Graff, Robert A Scott, Anne E Justice, Kristin L Young, Mary F Feitosa, Llilda Barata, Thomas W Winkler, Audrey Y Chu, Anubha Mahajan, David Hadley, Luting Xue, Tsegaselassie Workalemahu, Nancy L Heard-Costa, Marcel den Hoed, Tarunveer S Ahluwalia, Qibin Qi, Julius S Ngwa, Frida Renström, Lydia Quaye, John D Eicher, James E Hayes, Marilyn Cornelis, Zoltan Kutalik, Elise Lim, Jian'an Luan, Jennifer E Huffman, Weihua Zhang, Wei Zhao, Paula J Griffin, Toomas Haller, Shafqat Ahmad, Pedro M Marques-Vidal, Stephanie Bien, Loic Yengo, Alexander Teumer, Albert Vernon Smith, Meena Kumari, Marie Neergaard Harder, Johanne Marie Justesen, Marcus E Kleber, Mette Hollensted, Kurt Lohman, Natalia V Rivera, John B Whitfield, Jing Hua Zhao, Heather M Stringham, Leo-Pekka Lyytikäinen, Charlotte Huppertz, Gonneke Willemsen, Wouter J Peyrot, Ying Wu, Kati Kristiansson, Ayse Demirkan, Myriam Fornage, Maija Hassinen, Lawrence F Bielak, Gemma Cadby, Toshiko Tanaka, Reedik Mägi, Peter J van der Most, Anne U Jackson, Jennifer L Bragg-Gresham, Veronique Vitart, Jonathan Marten, Pau Navarro, Claire Bellis, Dorota Pasko, Åsa Johansson, Søren Snitker, Yu-Ching Cheng, Joel Eriksson, Unhee Lim, Mette Aadahl, Linda S Adair, Najaf Amin, Beverley Balkau, Juha Auvinen, John Beilby, Richard N Bergman, Sven Bergmann, Alain G Bertoni, John Blangero, Amélie Bonnefond, Lori L Bonnycastle, Judith B Borja, Søren Brage, Fabio Busonero, Steve Buyske, Harry Campbell, Peter S Chines, Francis S Collins, Tanguy Corre, George Davey Smith, Graciela E Delgado, Nicole Dueker, Marcus Dörr, Tapani Ebeling, Gudny Eiriksdottir, Tõnu Esko, Jessica D Faul, Mao Fu, Kristine Færch, Christian Gieger, Sven Gläser, Jian Gong, Penny Gordon-Larsen, Harald Grallert, Tanja B Grammer, Niels Grarup, Gerard van Grootheest, Kennet Harald, Nicholas D Hastie, Aki S Havulinna, Dena Hernandez, Lucia Hindorff, Lynne J Hocking, Oddgeir L Holmens, Christina Holzapfel, Jouke Jan Hottenga, Jie Huang, Tao Huang, Jennie Hui, Cornelia Huth, Nina Hutri-Kähönen, Alan L James, John-Olov Jansson, Min A Jhun, Markus Juonala, Leena Kinnunen, Heikki A Koistinen, Ivana Kolcic, Pirjo Komulainen, Johanna Kuusisto, Kirsti Kvaløy, Mika Kähönen, Timo A Lakka, Lenore J Launer, Benjamin Lehne, Cecilia M Lindgren, Mattias Lorentzon, Robert Luben, Michel Marre, Yuri Milaneschi, Keri L Monda, Grant W Montgomery, Marleen H M De Moor, Antonella Mulas, Martina Müller-Nurasyid, A W Musk, Reija Männikkö, Satu Männistö, Narisu Narisu, Matthias Nauck, Jennifer A Nettleton, Ilja M Nolte, Albertine J Oldehinkel, Matthias Olden, Ken K Ong, Sandosh Padmanabhan, Lavinia Paternoster, Jeremiah Perez, Markus Perola, Annette Peters, Ulrike Peters, Patricia A Peyser, Inga Prokopenko, Hannu Puolijoki, Olli T Raitakari, Tuomo Rankinen, Laura J Rasmussen-Torvik, Rajesh Rawal, Paul M Ridker, Lynda M Rose, Igor Rudan, Cinzia Sarti, Mark A Sarzynski, Kai Savonen, William R Scott, Serena Sanna, Alan R Shuldiner, Steve Sidney, Günther Silbernagel, Blair H Smith, Jennifer A Smith, Harold Snieder, Alena Stančáková, Barbara Sternfeld, Amy J Swift, Tuija Tammelin, Sian-Tsung Tan, Barbara Thorand, Dorothée Thuillier, Liesbeth Vandenput, Henrik Vestergaard, Jana V van Vliet-Ostaptchouk, Marie-Claude Vohl, Uwe Völker, Gérard Waeber, Mark Walker, Sarah Wild, Andrew Wong, Alan F Wright, M Carola Zillikens, Niha Zubair, Christopher A Haiman, Loic Lemarchand, Ulf Gyllensten, Claes Ohlsson, Albert Hofman, Fernando Rivadeneira, André G Uitterlinden, Louis Pérusse, James F Wilson, Caroline Hayward, Ozren Polasek, Francesco Cucca, Kristian Hveem, Catharina A Hartman, Anke Tönjes, Stefania Bandinelli, Lyle J Palmer, Sharon L R Kardia, Rainer Rauramaa, Thorkild I A Sørensen, Jaakko Tuomilehto, Veikko Salomaa, Brenda W J H Penninx, Eco J C de Geus, Dorret I Boomsma, Terho Lehtimäki, Massimo Mangino, Markku Laakso, Claude Bouchard, Nicholas G Martin, Diana Kuh, Yongmei Liu, Allan Linneberg, Winfried März, Konstantin Strauch, Mika Kivimäki, Tamara B Harris, Vilmundur Gudnason, Henry Völzke, Lu Qi, Marjo-Riitta Järvelin, John C Chambers, Jaspal S Kooner, Philippe Froguel, Charles Kooperberg, Peter Vollenweider, Göran Hallmans, Torben Hansen, Oluf Pedersen, Andres Metspalu, Nicholas J Wareham, Claudia Langenberg, David R Weir, David J Porteous, Eric Boerwinkle, Daniel I Chasman, CHARGE Consortium, EPIC-InterAct Consortium, PAGE Consortium, Gonçalo R Abecasis, Inês Barroso, Mark I McCarthy, Timothy M Frayling, Jeffrey R O'Connell, Cornelia M van Duijn, Michael Boehnke, Iris M Heid, Karen L Mohlke, David P Strachan, Caroline S Fox, Ching-Ti Liu, Joel N Hirschhorn, Robert J Klein, Andrew D Johnson, Ingrid B Borecki, Paul W Franks, Kari E North, L Adrienne Cupples, Ruth J F Loos, Tuomas O Kilpeläinen, Molecular Genetics, Epidemiology, Radiology & Nuclear Medicine, Erasmus MC other, Internal Medicine, Erasmus School of Economics, and Department of Finance

Subjects
Epigenomics, Male, 0301 basic medicine, Cancer Research, Published Erratum, lcsh:QH426-470, Genotype, Physical activity, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Computational biology, Biology, Genome, Body Mass Index, PAGE Consortium, 03 medical and health sciences, Text mining, Genetics, Humans, Genetic Predisposition to Disease, Obesity, Exercise, Molecular Biology, Genetics (clinical), Ecology, Evolution, Behavior and Systematics, Adiposity, 0604 Genetics, Waist-Hip Ratio, business.industry, Correction, lcsh:Genetics, 030104 developmental biology, Meta-analysis, CHARGE Consortium, Female, EPIC-InterAct Consortium, Waist Circumference, business, Developmental Biology, Genome-Wide Association Study
Abstract

Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

Published
2017

12. Association of Forced Vital Capacity with the Developmental Gene NCOR2

Author

Minelli, C. (Cosetta), Dean, C. H. (Charlotte H.), Hind, M. (Matthew), Alves, A. C. (Alexessander Couto), Amaral, A. F. (André F. S.), Siroux, V. (Valerie), Huikari, V. (Ville), Soler Artigas, M. (María), Evans, D. M. (David M.), Loth, D. W. (Daan W.), Bossé, Y. (Yohan), Postma, D. S. (Dirkje S.), Sin, D. (Don), Thompson, J. (John), Demenais, F. (Florence), Henderson, J. (John), S. c. (SpiroMeta consortium), C. c. (CHARGE consortium), Bouzigon, E. (Emmanuelle), Jarvis, D. (Deborah), Järvelin, M.-R. (Marjo-Riitta), Burney, P. (Peter), School of Medicine / Public Health, and Latzin, Philipp

Subjects
Adult, Male, General Science & Technology, CHARGE consortium, Organogenesis, Quantitative Trait Loci, lcsh:Medicine, Young Adult, Clinical Research, Forced Expiratory Volume, Genetics, 2.1 Biological and endogenous factors, Humans, SpiroMeta consortium, Developmental, Nuclear Receptor Co-Repressor 2, Aetiology, Polymorphism, lcsh:Science, Lung, Genetic Association Studies, Aged, Gene Expression Profiling, lcsh:R, Single Nucleotide, Middle Aged, Genes, Respiratory, lcsh:Q, Female, Genome-Wide Association Study
Abstract

Article, Background Forced Vital Capacity (FVC) is an important predictor of all-cause mortality in the absence of chronic respiratory conditions. Epidemiological evidence highlights the role of early life factors on adult FVC, pointing to environmental exposures and genes affecting lung development as risk factors for low FVC later in life. Although highly heritable, a small number of genes have been found associated with FVC, and we aimed at identifying further genetic variants by focusing on lung development genes. Methods Per-allele effects of 24,728 SNPs in 403 genes involved in lung development were tested in 7,749 adults from three studies (NFBC1966, ECRHS, EGEA). The most significant SNP for the top 25 genes was followed-up in 46,103 adults (CHARGE and SpiroMeta consortia) and 5,062 children (ALSPAC). Associations were considered replicated if the replication p-value survived Bonferroni correction (p, published version, peerReviewed

Published
2016

13. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study

Author

Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, Tachmazidou, Ioanna, Tanaka, Toshiko, Thorleifsson, Gudmar, Trompet, Stella, Pervjakova, Natalia, Tyrer, Jonathan P, Vandenput, Liesbeth, van der Laan, Sander W, van der Velde, Nathalie, van Setten, Jessica, van Vliet-Ostaptchouk, Jana V, Verweij, Niek, Vlachopoulou, Efthymia, Waite, Lindsay L, Wang, Sophie R, Wang, Zhaoming, Wild, Sarah H, Willenborg, Christina, Wilson, James F, Wong, Andrew, Yang, Jian, Yengo, Loïc, Yerges-Armstrong, Laura M, Yu, Lei, Zhang, Weihua, Zhao, Jing Hua, Andersson, Ehm A, Bakker, Stephan JL, Baldassarre, Damiano, Banasik, Karina, Barcella, Matteo, Barlassina, Cristina, Bellis, Claire, Benaglio, Paola, Blangero, John, Blüher, Matthias, Bonnet, Fabrice, Bonnycastle, Lori L, Boyd, Heather A, Bruinenberg, Marcel, Buchman, Aron S, Campbell, Harry, Chen, Yii-Der Ida, Chines, Peter S, Claudi-Boehm, Simone, Cole, John, Collins, Francis S, de Geus, Eco JC, de Groot, Lisette CPGM, Dimitriou, Maria, Duan, Jubao, Enroth, Stefan, Eury, Elodie, Farmaki, Aliki-Eleni, Forouhi, Nita G, Friedrich, Nele, Gejman, Pablo V, Gigante, Bruna, Glorioso, Nicola, Go, Alan S, Gottesman, Omri, Gräßler, Jürgen, Grallert, Harald, Grarup, Niels, Gu, Yu-Mei, Broer, Linda, Ham, Annelies C, Hansen, Torben, Harris, Tamara B, Hartman, Catharina A, Hassinen, Maija, Hastie, Nicholas, Hattersley, Andrew T, Heath, Andrew C, Henders, Anjali K, Hernandez, Dena, Hillege, Hans, Holmen, Oddgeir, Hovingh, Kees G, Hui, Jennie, Husemoen, Lise L, Hutri-Kähönen, Nina, Hysi, Pirro G, Illig, Thomas, De Jager, Philip L, Jalilzadeh, Shapour, Jørgensen, Torben, Jukema, J Wouter, Juonala, Markus, Kanoni, Stavroula, Karaleftheri, Maria, Khaw, Kay Tee, Kinnunen, Leena, Kittner, Steven J, Koenig, Wolfgang, Kolcic, Ivana, Kovacs, Peter, Krarup, Nikolaj T, Kratzer, Wolfgang, Krüger, Janine, Kuh, Diana, Kumari, Meena, Kyriakou, Theodosios, Langenberg, Claudia, Lannfelt, Lars, Lanzani, Chiara, Lotay, Vaneet, Launer, Lenore J, Leander, Karin, Lindström, Jaana, Linneberg, Allan, Liu, Yan-Ping, Lobbens, Stéphane, Luben, Robert, Lyssenko, Valeriya, Männistö, Satu, Magnusson, Patrik K, McArdle, Wendy L, Menni, Cristina, Merger, Sigrun, Milani, Lili, Montgomery, Grant W, Morris, Andrew P, Narisu, Narisu, Nelis, Mari, Ong, Ken K, Palotie, Aarno, Pérusse, Louis, Pichler, Irene, Pilia, Maria G, Pouta, Anneli, Rheinberger, Myriam, Ribel-Madsen, Rasmus, Richards, Marcus, Rice, Kenneth M, Rice, Treva K, Rivolta, Carlo, Salomaa, Veikko, Sanders, Alan R, Sarzynski, Mark A, Scholtens, Salome, Scott, Robert A, Scott, William R, Sebert, Sylvain, Sengupta, Sebanti, Sennblad, Bengt, Seufferlein, Thomas, Silveira, Angela, Slagboom, P Eline, Smit, Jan H, Sparsø, Thomas H, Stirrups, Kathleen, Stolk, Ronald P, Stringham, Heather M, Swertz, Morris A, Swift, Amy J, Syvänen, Ann-Christine, Tan, Sian-Tsung, Thorand, Barbara, Tönjes, Anke, Tremblay, Angelo, Tsafantakis, Emmanouil, van der Most, Peter J, Völker, Uwe, Vohl, Marie-Claude, Vonk, Judith M, Waldenberger, Melanie, Walker, Ryan W, Wennauer, Roman, Widén, Elisabeth, Willemsen, Gonneke, Wilsgaard, Tom, Wright, Alan F, Zillikens, M Carola, van Dijk, Suzanne C, van Schoor, Natasja M, Asselbergs, Folkert W, de Bakker, Paul IW, Beckmann, Jacques S, Beilby, John, Bennett, David A, Bergman, Richard N, Bergmann, Sven, Böger, Carsten A, Boehm, Bernhard O, Boerwinkle, Eric, Boomsma, Dorret I, Bornstein, Stefan R, Bottinger, Erwin P, Bouchard, Claude, Chambers, John C, Chanock, Stephen J, Chasman, Daniel I, Cucca, Francesco, Cusi, Daniele, Dedoussis, George, Erdmann, Jeanette, Eriksson, Johan G, Evans, Denis A, de Faire, Ulf, Farrall, Martin, Ferrucci, Luigi, Ford, Ian, Franke, Lude, Franks, Paul W, Froguel, Philippe, Gansevoort, Ron T, Gieger, Christian, Grönberg, Henrik, Gudnason, Vilmundur, Gyllensten, Ulf, Hall, Per, Hamsten, Anders, van der Harst, Pim, Hayward, Caroline, Heliövaara, Markku, Hengstenberg, Christian, Hicks, Andrew A, Hingorani, Aroon, Hofman, Albert, Hu, Frank, Huikuri, Heikki V, Hveem, Kristian, James, Alan L, Jordan, Joanne M, Jula, Antti, Kähönen, Mika, Kajantie, Eero, Kathiresan, Sekar, Kiemeney, Lambertus ALM, Kivimaki, Mika, Knekt, Paul B, Koistinen, Heikki A, Kooner, Jaspal S, Koskinen, Seppo, Kuusisto, Johanna, Maerz, Winfried, Martin, Nicholas G, Laakso, Markku, Lakka, Timo A, Lehtimäki, Terho, Lettre, Guillaume, Levinson, Douglas F, Lind, Lars, Lokki, Marja-Liisa, Mäntyselkä, Pekka, Melbye, Mads, Metspalu, Andres, Mitchell, Braxton D, Moll, Frans L, Murray, Jeffrey C, Musk, Arthur W, Nieminen, Markku S, Njølstad, Inger, Ohlsson, Claes, Oldehinkel, Albertine J, Oostra, Ben A, Palmer, Lyle J, Pankow, James S, Pasterkamp, Gerard, Pedersen, Nancy L, Pedersen, Oluf, Penninx, Brenda W, Perola, Markus, Peters, Annette, Polašek, Ozren, Pramstaller, Peter P, Psaty, Bruce M, Qi, Lu, Quertermous, Thomas, Raitakari, Olli T, Rankinen, Tuomo, Rauramaa, Rainer, Ridker, Paul M, Rioux, John D, Rivadeneira, Fernando, Rotter, Jerome I, Rudan, Igor, den Ruijter, Hester M, Saltevo, Juha, Sattar, Naveed, Schunkert, Heribert, Schwarz, Peter EH, Shuldiner, Alan R, Sinisalo, Juha, Snieder, Harold, Sørensen, Thorkild IA, Spector, Tim D, Staessen, Jan A, Stefania, Bandinelli, Thorsteinsdottir, Unnur, Stumvoll, Michael, Tardif, Jean-Claude, Tremoli, Elena, Tuomilehto, Jaakko, Uitterlinden, André G, Uusitupa, Matti, Verbeek, André LM, Vermeulen, Sita H, Viikari, Jorma S, Vitart, Veronique, Völzke, Henry, Vollenweider, Peter, Waeber, Gérard, Walker, Mark, Wallaschofski, Henri, Wareham, Nicholas J, Watkins, Hugh, Zeggini, Eleftheria, arcOGEN Consortium, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Chakravarti, Aravinda, Clegg, Deborah J, Cupples, L Adrienne, Gordon-Larsen, Penny, Jaquish, Cashell E, Rao, DC, Abecasis, Goncalo R, Assimes, Themistocles L, Barroso, Inês, Berndt, Sonja I, Boehnke, Michael, Deloukas, Panos, Fox, Caroline S, Groop, Leif C, Hunter, David J, Ingelsson, Erik, Kaplan, Robert C, McCarthy, Mark I, Mohlke, Karen L, O'Connell, Jeffrey R, Schlessinger, David, Strachan, David P, Stefansson, Kari, van Duijn, Cornelia M, Hirschhorn, Joel N, Lindgren, Cecilia M, Heid, Iris M, North, Kari E, Borecki, Ingrid B, Kutalik, Zoltán, Loos, Ruth JF, Division of Statistical Genomics, Washington University School of Medicine, Institut Pasteur du Cambodge, Réseau International des Instituts Pasteur (RIIP), Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Institute of Metabolic Science, MRC, Brown University, Center for Biological Sequence Analysis [Lyngby], Technical University of Denmark [Lyngby] (DTU), King‘s College London, Groningen Bioinformatics Centre, GBB, University of Groningen [Groningen], University of Queensland [Brisbane], National Institut of Food Science and Technology, University of Agriculture, Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Department of neurology, Leiden University Medical Center (LUMC), University of Washington [Seattle], Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Deptartment of Medical Biochemistry and Microbiology, Uppsala University, Infectious diseases division, Department of internal medicine, Washington University in Saint Louis (WUSTL), Limnology, Ecology, Department of Ecology and Evolutionary Biology, University of California, Core Genotyping Facility, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), Division of Cancer Epidemiology and Genetics, Institute of Health Sciences and Biocenter Oulu, University of Oulu, Department of Chemical Engineering Taiwan (DCET - NTHU), National Tsing Hua University [Hsinchu] (NTHU), University of Oxford [Oxford], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Department of Clinical Sciences, Lund University [Lund]-Lund University Diabetes Centre, Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Department of Medical Sciences, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Laboratory for Cardiovascular Genomics and Informatics [Yokohama] (RIKEN IMS), RIKEN Center for Integrative Medical Sciences [Yokohama] (RIKEN IMS), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN)-RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), deCODE Genetics, deCODE genetics [Reykjavik], Interuniversity Cardiology Institute Netherlands, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Kidney Center, University Medical Center Groningen [Groningen] (UMCG), The University of Texas Health Science Center at Houston (UTHealth), Texas Biomedical Research Institute [San Antonio, TX], Medical Department III, Universität Leipzig [Leipzig], Foie, métabolismes et cancer, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Dept. of Epidemiology Research, Statens Serum Institut [Copenhagen], GNS Science, Blackett Laboratory, Imperial College London, Medstar Research Institute, University of Rochester [USA], MRC Epidemiology Unit, University of Cambridge [UK] (CAM)-Institute of Metabolic Science, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Dept Biochem & Mol Biol, Pennsylvania State University (Penn State), Penn State System-Penn State System, Genomic Research Laboratory, Service of Infectious Disease, Hôpitaux Universitaires de Genève (HUG), Epidemiology, University Medical Centre Groningen, Unit for Molecular Epidemiology, German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Research Centre for Prevention and Health (RCPH), Department of Public Health [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (KU), Faculty of Medicine, Institute of Public Health, Aalborg University [Denmark] (AAU), Department of Nutrition-Dietetics, Harokopio University of Athens, Department of Medical Statistics, Epidemiology and Medical Informatics, University of Zagreb, MRC National Survey of Health and Development, MRC Unit for Lifelong Health and Ageing, Department of Epidemiology and Public Health, University College of London [London] (UCL), Department of Public health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden, Research Center for Prevention and Health, Glostrup Hospital, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Cambridge Institute of Public Health, University of Cambridge [UK] (CAM), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Queensland Institute of Medical Research, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Head of Medical Sequencing, Department of Biostatistics, University of Washington, Department of Chronic Disease Prevention, Molecular Epidemiology, Department of Genetics, Université Laval [Québec] (ULaval), Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Netherlands Genomics Initiative, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Department of Internal Medicine, Université de Lausanne (UNIL), Carl Gustav Carus University Hospital, Loughborough University, Genomics and Bioinformatics Platform, Fondazione Filarete, Department of Medicine, Surgery, and Dentistry, University of Milano, Medizinische Klinik II, Universität zu Lübeck [Lübeck], Department of Genomic Medicine, University of Manchester [Manchester], The Wellcome Trust Centre for Human Genetics [Oxford], National Institutes of Health [Bethesda] (NIH), Department of Nephrology, University Medical Center, University of Groningen, Helmholtz-Zentrum München (HZM), Icelandic Heart Association, Kopavogur, Iceland., Faculty of Medicine, University of Iceland [Reykjavik], Genetics and Pathology, Department of child and adolescent psychiatry, Universität Duisburg-Essen [Essen], Department of Internal Medicine II, Division of Respirology, University of Regensburg, Regensburg, Germany, Universität Regensburg (UR), Franz-Volhard-Centrum für Klinische Forschung, ECRC, Department of Clinical Physiology, University of Tampere [Finland]-Tampere University Hospital, Finnish Institute of Occupational Health of Helsinki, Department of Clinical Chemistry, Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Department of Oncology, University of Tampere Medical School, University of Tampere, Department of Physiology, University of Eastern Finland-Institute of Biomedicine, Department of Medicine, Montreal, Developmental Brain and Behaviour Unit, University of Southampton, Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Centre for Bone and Arthritis Research, Institute of Medicine-University of Gothenburg (GU), Interdisciplinary Center for Psychiatric Epidemiology, Experimental Cardiology Laboratory, University Medical Center [Utrecht], Peter MacCallum Cancer Center, Faculty of Health Sciences, Aarhus University [Aarhus], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), Department of Health Services, University of Washington, Group Health Research Institute, Group Health Cooperative, Department of Epidemiology, University of Washington, Department of Medicine, University of Washington, Cardiovascular Health Research Unit, University of Washington, The Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku University Hospital (TYKS), Erasmus Medical Centre, Cedars-Sinai Medical Center, Department of Pathological Biochemistry, Royal Infirmary, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Institute of Preventive Medicine, Copenhagen University Hospital-Bispebjerg and Frederiksberg Hospitals, Maastricht University [Maastricht], Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Ageing, Leiden, The Netherlands, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Department of Epidemiology & Biostatistics, Radboud University Medical Center [Nijmegen], Institute for Community Medicine, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), MRC epidemiology Unit, Framingham Heart Study, National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Metabolic Disease Group, University of Cambridge Metabolic Research Laboratories, Department of Genetics and Biotechnology, Wellcome Trust, Divisions of Genetics and Endocrinology and Program in Genomics, Boston Children's Hospital, Metabolism Initiative and Program in Medical and Population Genetics, Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Department of Epidemiology and Preventive Medicine, Regensburg University Medical Center, University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Department of Medical Genetics, Epidemiology Unit, Addenbrooke's Hospital-Medical Research Council (MRC), P30 AG010161/AG/NIA NIH HHS/United States, Psychiatry, Epidemiology and Data Science, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, APH - Amsterdam Public Health, AMS - Amsterdam Movement Sciences, Geriatrics, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Other departments, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, RS: CARIM - R3 - Vascular biology, MUMC+: DA BV AIOS Radiologie (9), Epidemiologie, Orthopedie, Institute for Molecular Medicine Finland, Helsinki Collegium for Advanced Studies, Behavioural Sciences, University of Helsinki, Transplantation Laboratory, Medicum, Research Programs Unit, Research Programme of Molecular Medicine, Aarno Palotie / Principal Investigator, Elisabeth Ingrid Maria Widen / Principal Investigator, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Children's Hospital, Lastentautien yksikkö, Marja-Liisa Lokki / Principal Investigator, Kardiologian yksikkö, Leif Groop Research Group, Quantitative Genetics, Developmental Psychology Research Group, Genomics of Neurological and Neuropsychiatric Disorders, Genomic Discoveries and Clinical Translation, Ehret, Georg Benedikt, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Universiteit Leiden-Universiteit Leiden, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of California (UC), University of Oxford, Lund University [Lund], Universität Leipzig, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Helmholtz Zentrum München = German Research Center for Environmental Health, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH)-Capital Region of Denmark, University of Copenhagen = Københavns Universitet (UCPH), Université de Lausanne = University of Lausanne (UNIL), Universität zu Lübeck = University of Lübeck [Lübeck], Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Gothenburg (GU)-Institute of Medicine, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Luan, Jian'an [0000-0003-3137-6337], Tyrer, Jonathan [0000-0003-3724-4757], Forouhi, Nita [0000-0002-5041-248X], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Luben, Robert [0000-0002-5088-6343], Ong, Kenneth [0000-0003-4689-7530], Johnson, Kathleen [0000-0002-6823-3252], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Apollo - University of Cambridge Repository, CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Biochemistry, Surgery, Internal Medicine, Public Health, Medical Oncology, Pathology, Erasmus MC other, Child and Adolescent Psychiatry / Psychology, and Clinical Genetics

Subjects
0301 basic medicine, Netherlands Twin Register (NTR), Male, Cancer Research, endocrine system diseases, Biological pathways, QH426-470, Genome, Body Mass Index, Body Size, Genetics (clinical), ddc:616, Genetics & Heredity, Sex Characteristics, Loci, MAGIC Consortium, Mass index, Age Factors, Chromosome Mapping, Middle Aged, Genealogy, Self-reported height, Peripheral-blood, Scale (social sciences), ICBP Consortium, Female, Life Sciences & Biomedicine, Medical Genetics, Research Article, arcOGEN Consortium, musculoskeletal diseases, Adult, European Continental Ancestry Group, Natural menopause, Aged, Body Size/genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Waist-Hip Ratio, Biology, Body size, DIAGRAM Consortium, Age and sex, White People, Fat distribution, GLGC Consortium, 03 medical and health sciences, Life-course, Genetics, Weight-gain, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Medicinsk genetik, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0604 Genetics, Science & Technology, nutritional and metabolic diseases, Correction, 030104 developmental biology, GWAS meta-analysis, Global-BPGen Consortium, Common SNPS, CHARGE Consortium, 3111 Biomedicine, Developmental Biology
Abstract

Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR, Author Summary Adult body size and body shape differ substantially between men and women and change over time. More than 100 genetic variants that influence body mass index (measure of body size) or waist-to-hip ratio (measure of body shape) have been identified. While there is evidence that some genetic loci affect body shape differently in men than in women, little is known about whether genetic effects differ in older compared to younger adults, and whether such changes differ between men and women. Therefore, we conducted a systematic genome-wide search, including 114 studies (>320,000 individuals), to specifically identify genetic loci with age- and or sex-dependent effects on body size and shape. We identified 15 loci of which the effect on BMI was different in older compared to younger adults, whereas we found no evidence for loci with different effects in men compared to women. The opposite was seen for body shape as we identified 44 loci of which the effect on waist-to-hip ratio differed between men and women, but no difference between younger and older adults were observed. Our observations may provide new insights into the biology that underlies weight change with age or the sexual dimorphism of body shape.

Published
2014

14. Sequencing of SCN5A identifies rare and common variants associated with cardiac conduction: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium

Author

Magnani, Jared W, Brody, Jennifer A, Prins, Bram P, Arking, Dan E, Lin, Honghuang, Yin, Xiaoyan, Liu, Ching-Ti, Morrison, Alanna C, Zhang, Feng, Spector, Tim D, Alonso, Alvaro, Bis, Joshua C, Heckbert, Susan R, Lumley, Thomas, Sitlani, Colleen M, Cupples, L Adrienne, Lubitz, Steven A, Soliman, Elsayed Z, Pulit, Sara L, Newton-Cheh, Christopher, O'Donnell, Christopher J, Ellinor, Patrick T, Benjamin, Emelia J, Muzny, Donna M, Gibbs, Richard A, Santibanez, Jireh, Taylor, Herman A, Rotter, Jerome I, Lange, Leslie A, Psaty, Bruce M, Jackson, Rebecca, Rich, Stephen S, Boerwinkle, Eric, Jamshidi, Yalda, Sotoodehnia, Nona, CHARGE Consortium, NHLBI Exome Sequencing Project (ESP), and UK10K

Subjects
Adult, Male, Aging, Heart Diseases, electrocardiography, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular, NAV1.5 Voltage-Gated Sodium Channel, Cohort Studies, Heart Conduction System, Clinical Research, 80 and over, genomics, Genetics, Humans, 2.1 Biological and endogenous factors, NHLBI Exome Sequencing Project, Polymorphism, Aetiology, Aged, Human Genome, Genetic Variation, DNA, Genomics, Single Nucleotide, Middle Aged, Heart Disease, UK10K, Cardiovascular System & Hematology, CHARGE Consortium, Female, Sequence Analysis, Genome-Wide Association Study, Biotechnology
Abstract

BackgroundThe cardiac sodium channel SCN5A regulates atrioventricular and ventricular conduction. Genetic variants in this gene are associated with PR and QRS intervals. We sought to characterize further the contribution of rare and common coding variation in SCN5A to cardiac conduction.Methods and resultsIn Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study, we performed targeted exonic sequencing of SCN5A (n=3699, European ancestry individuals) and identified 4 common (minor allele frequency >1%) and 157 rare variants. Common and rare SCN5A coding variants were examined for association with PR and QRS intervals through meta-analysis of European ancestry participants from CHARGE, National Heart, Lung, and Blood Institute's Exome Sequencing Project (n=607), and the UK10K (n=1275) and by examining Exome Sequencing Project African ancestry participants (n=972). Rare coding SCN5A variants in aggregate were associated with PR interval in European and African ancestry participants (P=1.3×10(-3)). Three common variants were associated with PR and QRS interval duration among European ancestry participants and one among African ancestry participants. These included 2 well-known missense variants: rs1805124 (H558R) was associated with PR and QRS shortening in European ancestry participants (P=6.25×10(-4) and P=5.2×10(-3), respectively) and rs7626962 (S1102Y) was associated with PR shortening in those of African ancestry (P=2.82×10(-3)). Among European ancestry participants, 2 novel synonymous variants, rs1805126 and rs6599230, were associated with cardiac conduction. Our top signal, rs1805126 was associated with PR and QRS lengthening (P=3.35×10(-7) and P=2.69×10(-4), respectively) and rs6599230 was associated with PR shortening (P=2.67×10(-5)).ConclusionsBy sequencing SCN5A, we identified novel common and rare coding variants associated with cardiac conduction.

Published
2014

15. A Genome-Wide Association Study of Depressive Symptoms

Author

Jari Lahti, Anne B. Newman, Vilmundur Gudnason, Aarno Palotie, Elisabeth Widen, Alessandra Cannas, Eric B. Rimm, Alexander Teumer, Toshiko Tanaka, Alan D. Penman, Ben A. Oostra, Andrea Schulz, Joshua M. Shulman, Luigi Ferrucci, Eric M. Reiman, Majken K. Jensen, Jens Baumert, Karestan C. Koenen, Shaun Purcell, Karl-Heinz Ladwig, Antonio Terracciano, David J. Llewellyn, Eco J. C. de Geus, Albert V. Smith, Kathryn L. Lunetta, Marilyn C. Cornelis, Osorio Meirelles, Brenda W.J.H. Penninx, Henry Völzke, Henning Tiemeier, Kristin D. Marciante, Emelia J. Benjamin, Maris Kuningas, Luke C. Pilling, Rajesh Rawal, Cornelis L. Mulder, David A. Bennett, David J. Hunter, Ana V. Diez-Roux, Rebecca T. Emeny, Yan V. Sun, Peter Kraft, Sharon L.R. Kardia, André G. Uitterlinden, Nona Sotoodehnia, Katri Räikkönen, Jerome I. Rotter, Erin Bakshis, Kristine Yaffe, Cornelia M. van Duijn, Lei Yu, Bruce M. Psaty, Philip L. De Jager, Margaret Kelly-Hayes, Hans J. Grabe, Angelina R. Sutin, Antonella Mulas, Anna Murray, Astrid Petersmann, Denis A. Evans, Gary C. Curhan, David Melzer, Frank B. Hu, Mike A. Nalls, Thomas H. Mosley, Lenore J. Launer, Myriam Fornage, Joanne M. Murabito, Laura H. Coker, Najaf Amin, Joseph M. Massaro, Alan B. Zonderman, Thomas Illig, Johan G. Eriksson, Ayse Demirkan, Francesco Cucca, Dorret I. Boomsma, Tamara B. Harris, Nicole Vogelzangs, Yongmei Liu, Jingzhong Ding, Kenneth Rice, Stefania Bandinelli, Albert Hofman, Andrew B. Singleton, Karin Hek, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Neuroscience Campus Amsterdam - Brain Imaging Technology, EMGO+ - Mental Health, Psychiatry, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Epidemiology, Immunology, Clinical Genetics, and Internal Medicine

Subjects
Male, Oncology, DISORDER, Netherlands Twin Register (NTR), CHARGE consortium, Genome-wide association study, Medical and Health Sciences, 0302 clinical medicine, depressive symptoms, Polymorphism (computer science), Epidemiology, 80 and over, 2.1 Biological and endogenous factors, genetics, Aetiology, Depression (differential diagnoses), POPULATION, Psychiatry, Aged, 80 and over, Genetics, 0303 health sciences, education.field_of_study, Depression, Single Nucleotide, Biological Sciences, Middle Aged, Center for Epidemiologic Studies Depression Scale, 3. Good health, Mental Health, Meta-analysis, depression, Chromosomes, Human, Pair 5, Female, Pair 5, Psychology, VITAL EXHAUSTION, Human, medicine.medical_specialty, CES-D, LIFE EVENTS, Population, Single-nucleotide polymorphism, ATHEROSCLEROSIS RISK, and over, Polymorphism, Single Nucleotide, Chromosomes, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Behavioral and Social Science, medicine, LINKAGE, Humans, Genetic Predisposition to Disease, Polymorphism, education, Biological Psychiatry, METAANALYSIS, Aged, 030304 developmental biology, genome-wide association study, Human Genome, Psychology and Cognitive Sciences, MAJOR DEPRESSION, GENE, Brain Disorders, meta-analysis, 030217 neurology & neurosurgery
Abstract

Background: Depression is a heritable trait that exists on a continuum of varying severity and duration. Yet, the search for genetic variants associated with depression has had few successes. We exploit the entire continuum of depression to find common variants for depressive symptoms.Methods: In this genome-wide association study, we combined the results of 17 population-based studies assessing depressive symptoms with the Center for Epidemiological Studies Depression Scale. Replication of the independent top hits (p Results: The discovery sample comprised 34,549 individuals (mean age of 66.5) and no loci reached genome-wide significance (lowest p = 1.05 x 10(-7)). Seven independent single nucleotide polymorphisms were considered for replication. In the replication set (n = 16,709), we found suggestive association of one single nucleotide polymorphism with depressive symptoms (rs161645, 5q21, p = 9.19 x 10(-3)). This 5q21 region reached genome-wide significance (p = 4.78 x 10(-8)) in the overall meta-analysis combining discovery and replication studies (n = 51,258).Conclusions: The results suggest that only a large sample comprising more than 50,000 subjects may be sufficiently powered to detect genes for depressive symptoms.

Published
2013

16. Four novel loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation In vivo

Author

Ikram MK, Sim X, Jensen RA, Cotch MF, Hewitt AW, Ikram MA, Wang JJ, Klein R, Klein BE, Breteler MM, Cheung N, Liew G, Mitchell P, Uitterlinden AG, Rivadeneira F, Hofman A, de Jong PT, van Duijn CM, Kao L, Cheng CY, Smith AV, Glazer NL, Lumley T, McKnight B, Psaty BM, Jonasson F, Eiriksdottir G, Aspelund T, Newton Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, Najjar S, Zhao JH, Heath SC, Eyheramendy S, Wallace C, Chambers JC, Khaw KT, Polidoro S, Grobbee DE, Onland Moret NC, Allione A, Di Gregorio A, Guarrera S, Ricceri F, Romanazzi V, Sacerdote C, Vineis P, Barroso I, O'Reilly PF, Peltonen L, Pouta A, de Jong PE, Snieder P, Tognoni G, Lakatta EG, Sanna S, Scheet P, Schlessinger D, Scuteri A, Galan P, Gut IV, Hercberg S, van der Schouw YT, Numans ME, Matullo G, Navis G, Berglund G, Bandinelli S, Ferrucci L, Watkins H, Tuomilehto J, Altshuler D, Wareham NJ, Uda M, Jarvelin MR, Mooser V, Melander O, Loos RFJ, Elliott P, Abecasis GR, Caulfield M, Munroe PB, Harris TB, Launer LJ, Taylor KD, Li X, Iyengar SK, Xi Q, Sivakumaran TA, Mackey DA, Macgregor S, Martin NG, Young TL, Bis JC, Wiggins KL, Heckbert SR, Hammond CJ, Andrew T, Fahy S, Attia J, Holliday EG, Scott RJ, Islam FM, Rotter JI, McAuley AK, Boerwinkle E, Tai ES, Gudnason V, Siscovick DS, Vingerling JR, Wong TY, PANICO, SALVATORE, Ophthalmology, Epidemiology, Internal Medicine, Faculteit der Geneeskunde, Ikram, Mk, Xueling, S, Jensen, Ra, Cotch, Mf, Hewitt, Aw, Ikram, Ma, Wang, Jj, Klein, R, Klein, Be, Breteler, Mm, Cheung, N, Liew, G, Mitchell, P, Uitterlinden, Ag, Rivadeneira, F, Hofman, A, de Jong, Pt, van Duijn, Cm, Kao, L, Cheng, Cy, Smith, Av, Glazer, Nl, Lumley, T, Mcknight, B, Psaty, Bm, Jonasson, F, Eiriksdottir, G, Aspelund, T, Panico, Salvatore, Global BPgen, Consortium, Harris, Tb, Launer, Lj, Taylor, Kd, Li, X, Iyengar, Sk, Xi, Q, Sivakumaran, Ta, Mackey, Da, Macgregor, S, Martin, Ng, Young, Tl, Bis, Jc, Wiggins, Kl, Heckbert, Sr, Hammond, Cj, Andrew, T, Fahy, S, Attia, J, Holliday, Eg, Scott, Rj, Islam, Fm, Rotter, Ji, Mcauley, Ak, Boerwinkle, E, Tai, E, Gudnason, V, Siscovick, D, Vingerling, Jr, 2010 Oct 28, Wong T. Y. PLoS G. e. n. e. t., 6:e1001184, Sim, X, Newton Cheh, C, Johnson, T, Gateva, V, Tobin, Md, Bochud, M, Coin, L, Najjar, S, Zhao, Jh, Heath, Sc, Eyheramendy, S, Wallace, C, Chambers, Jc, Khaw, Kt, Polidoro, S, Grobbee, De, Onland Moret, Nc, Allione, A, Di Gregorio, A, Guarrera, S, Ricceri, F, Romanazzi, V, Sacerdote, C, Vineis, P, Barroso, I, O'Reilly, Pf, Peltonen, L, Pouta, A, de Jong, Pe, Snieder, P, Tognoni, G, Lakatta, Eg, Sanna, S, Scheet, P, Schlessinger, D, Scuteri, A, Galan, P, Gut, Iv, Hercberg, S, van der Schouw, Yt, Numans, Me, Matullo, G, Navis, G, Berglund, G, Bandinelli, S, Ferrucci, L, Watkins, H, Tuomilehto, J, Altshuler, D, Wareham, Nj, Uda, M, Jarvelin, Mr, Mooser, V, Melander, O, Loos, Rfj, Elliott, P, Abecasis, Gr, Caulfield, M, Munroe, Pb, Wong, Ty, Medical Research Council (MRC), and Department of Public Health

Subjects
Male, Cancer Research, Pathology, VESSEL DIAMETERS, Genome-wide association study, 030204 cardiovascular system & hematology, QH426-470, DISEASE, Pathogenesis, Cohort Studies, chemistry.chemical_compound, 0302 clinical medicine, Cardiovascular Disorders/Vascular Biology, Child, Genetics (clinical), Genetics, Aged, 80 and over, 0303 health sciences, education.field_of_study, Middle Aged, 314 Health sciences, 3. Good health, Cardiovascular Diseases, Child, Preschool, Chromosomes, Human, Pair 5, Chromosomes, Human, Pair 6, Female, Research Article, Adult, medicine.medical_specialty, Adolescent, ANTIHYPERTENSIVE DRUG THERAPIES, Population, European Continental Ancestry Group, Locus (genetics), Single-nucleotide polymorphism, ATHEROSCLEROSIS RISK, Biology, Polymorphism, Single Nucleotide, White People, Microcirculation, 03 medical and health sciences, Young Adult, AGE, Meta-Analysis as Topic, SDG 3 - Good Health and Well-being, Genetics and Genomics/Population Genetics, medicine, SNP, Humans, GENOME-WIDE ASSOCIATION, education, Molecular Biology, Ecology, Evolution, Behavior and Systematics, METAANALYSIS, Global BPgen Consortium, 030304 developmental biology, Aged, 0604 Genetics, Chromosomes, Human, Pair 12, Retinal Vessels, Retinal, CHARGE CONSORTIUM, RETINAL VASCULAR CALIBER, chemistry, Genetic Loci, Ophthalmology/Retinal Disorders, genome-wide association study, microcirculation, GENE/ENVIRONMENT SUSCEPTIBILITY-REYKJAVIK, Chromosomes, Human, Pair 19, Developmental Biology, Genome-Wide Association Study
Abstract

There is increasing evidence that the microcirculation plays an important role in the pathogenesis of cardiovascular diseases. Changes in retinal vascular caliber reflect early microvascular disease and predict incident cardiovascular events. We performed a genome-wide association study to identify genetic variants associated with retinal vascular caliber. We analyzed data from four population-based discovery cohorts with 15,358 unrelated Caucasian individuals, who are members of the Cohort for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and replicated findings in four independent Caucasian cohorts (n = 6,652). All participants had retinal photography and retinal arteriolar and venular caliber measured from computer software. In the discovery cohorts, 179 single nucleotide polymorphisms (SNP) spread across five loci were significantly associated (p, Author Summary The microcirculation plays an important role in the development of cardiovascular diseases. Retinal vascular caliber changes reflect early microvascular disease and predict incident cardiovascular events. In order to identify genetic variants associated with retinal vascular caliber, we performed a genome-wide association study and analyzed data from four population-based discovery cohorts with 15,358 unrelated Caucasian individuals, who are members of the Cohort for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and replicated findings in four independent Caucasian cohorts (n = 6,652). We found evidence for association of four loci with retinal venular caliber: on chromosomes 19q13 within the RASIP1 locus, 6q24 adjacent to the VTA1 and NMBR loci, 12q24 in the region of ATXN2,SH2B3 and PTPN11 loci, and 5q14 adjacent to the MEF2C locus. In two independent samples, locus 12q24 was also associated with coronary heart disease and hypertension. In the present study, we demonstrate that four novel loci were associated with retinal venular caliber, an endophenotype of the microcirculation associated with clinical cardiovascular disease. Our findings will help focus research on novel genes and pathways involving the microcirculation and its role in the development of cardiovascular disease.

Published
2010

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