Author: "W. James Gauderman" / Topic: biology - Searchworks@Jio Institute Digital Library Search Results

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1. A two-step approach to testing overall effect of gene–environment interaction for multiple phenotypes

Author: W. James Gauderman, Arunabha Majumdar, John S. Witte, Sriram Sankararaman, Kathryn S. Burch, and Bogdan Pasaniuc
Subjects: Statistics and Probability, 0303 health sciences, Multivariate statistics, Computer science, Two step, Univariate, Single step, Computational biology, Biology, Biochemistry, Phenotype, Computer Science Applications, 03 medical and health sciences, Computational Mathematics, 0302 clinical medicine, Computational Theory and Mathematics, Pleiotropy, 030220 oncology & carcinogenesis, Gene–environment interaction, Molecular Biology, Alcohol consumption, 030304 developmental biology
Abstract: Motivation While gene–environment (GxE) interactions contribute importantly to many different phenotypes, detecting such interactions requires well-powered studies and has proven difficult. To address this, we combine two approaches to improve GxE power: simultaneously evaluating multiple phenotypes and using a two-step analysis approach. Previous work shows that the power to identify a main genetic effect can be improved by simultaneously analyzing multiple related phenotypes. For a univariate phenotype, two-step methods produce higher power for detecting a GxE interaction compared to single step analysis. Therefore, we propose a two-step approach to test for an overall GxE effect for multiple phenotypes. Results Using simulations we demonstrate that, when more than one phenotype has GxE effect (i.e. GxE pleiotropy), our approach offers substantial gain in power (18–43%) to detect an aggregate-level GxE effect for a multivariate phenotype compared to an analogous two-step method to identify GxE effect for a univariate phenotype. We applied the proposed approach to simultaneously analyze three lipids, LDL, HDL and Triglyceride with the frequency of alcohol consumption as environmental factor in the UK Biobank. The method identified two loci with an overall GxE effect on the vector of lipids, one of which was missed by the competing approaches. Availability and implementation We provide an R package MPGE implementing the proposed approach which is available from CRAN: https://cran.r-project.org/web/packages/MPGE/index.html Supplementary information Supplementary data are available at Bioinformatics online.
Published: 2020

2. A Cross-Sectional Study Examining the Seroprevalence of Severe Acute Respiratory Syndrome Coronavirus 2 Antibodies in a University Student Population

Author: Kimberly Tilley, W. James Gauderman, Lauren C. Martinez, Neha Nanda, Maurice R.G. O'Gorman, Sarah Van Orman, Eric S. Kawaguchi, David V. Conti, and Vladimir Ayvazyan
Subjects: Adult, Male, medicine.medical_specialty, Universities, Cross-sectional study, viruses, Population, Seroprevalence, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Seroepidemiologic Studies, Surveys and Questionnaires, 030225 pediatrics, Internal medicine, Epidemiology, Prevalence, medicine, Humans, Pediatrics, Perinatology, and Child Health, 030212 general & internal medicine, Young adult, Students, skin and connective tissue diseases, education, University, education.field_of_study, biology, SARS-CoV-2, business.industry, fungi, Public Health, Environmental and Occupational Health, COVID-19, Los Angeles, Psychiatry and Mental health, Cross-Sectional Studies, Immunoglobulin G, Pediatrics, Perinatology and Child Health, biology.protein, Female, Original Article, Antibody, business, Blood sampling
Abstract: Purpose The aim of the study was to determine the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in a university student population. Methods This was a cross-sectional survey study based on the World Health Organization population-based seroepidemiological investigational protocol for SARS-CoV-2 conducted between April 29, 2020, and May 8, 2020, examining SARS-CoV-2 antibody prevalence among 790 university students in Los Angeles, CA. Participants completed a questionnaire on potential risk factors before blood sampling. Samples were analyzed using the EUROIMMUN Anti-SARS-CoV-2 ELISA (IgG) for the qualitative detection of IgG class antibodies to SARS-CoV-2 in human serum or plasma. Results The estimated prevalence of SARS-CoV-2 antibody was 4.0% (3.0%, 5.1%). Factors associated with having a positive test included history of anosmia and/or loss of taste (95% CI: 1.4–9.6). A history of respiratory symptoms, with or without fever, was not associated with a positive antibody test. Conclusions Prevalence of SARS-CoV-2 antibodies in the undergraduate and graduate student university population was similar to community prevalence.
Published: 2020

3. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration

Author: Sina A. Gharib, Kenneth Rice, Donna K. Arnett, Tõnu Esko, Annemarie I. Luik, Niki Dimou, Dabeeru C. Rao, Pamela J. Schreiner, Melissa A. Richard, Reedik Mägi, Nicholette D. Palmer, Stefan Weiss, Han Chen, Solomon K. Musani, W. James Gauderman, Christian Gieger, Kari E. North, Salman M. Tajuddin, Diana van Heemst, Rainer Rauramaa, Stephen B. Kritchevsky, Henry Völzke, Minjung Kho, Michele K. Evans, Ruth J. F. Loos, Correa Adolfo, Pedro Marques-Vidal, Diane M. Becker, Claude Bouchard, José Haba-Rubio, Georg Homuth, Kurt Lohman, Nora Franceschini, Caizheng Yu, Peter Vollenweider, Ervin F. Fox, Thomas Meitinger, Karen Schwander, Heming Wang, Morris A. Swertz, Aldi T. Kraja, José Eduardo Krieger, Xiuqing Guo, Tangchun Wu, Raymond Noordam, Yongmei Liu, Michael R. Brown, Patrick C.N. Rensen, Annette Peters, Jingmin Liu, Tuomo Rankinen, Robert B. Wallance, Timo A. Lakka, Stephen S. Rich, Yun Ju Sung, Meian He, Till Roenneberg, Wanqing Wen, Dennis O. Mook-Kanamori, M. A. Province, Evangelos Evangelou, L. Adrienne Cupples, Maxime M Bos, Paul S. de Vries, Hans J. Grabe, Lisa R. Yanek, Jiwon Lee, Mario Sims, Bruce M. Psaty, Treva Rice, Tanika N. Kelly, Brenda W.J.H. Penninx, Brigitte Kühnel, Maria E. Graff, Alexandre C. Pereira, Daniel J. Gottlieb, Charles N. Rotimi, Lynne E. Wagenknecht, Ashley van der Spek, Lisa W. Martin, Jeffrey R. O'Connell, Changwei Li, James E. Hixson, Chuan Gao, Alisa K. Manning, Sharon L.R. Kardia, Stella Aslibekyan, Andres Metspalu, Sami Heikkinen, Maris Alver, Xiao-Ou Shu, Amy R. Bentley, Susan Redline, Konstantin Strauch, Tamara B. Harris, Yuri Milaneschi, L.F. Bielak, Marjan Ilkov, Myriam Fornage, Ilja M. Nolte, André G. Uitterlinden, Dina Vojinovic, Hugues Aschard, Paul Elliott, Kent D. Taylor, Najaf Amin, James M. Shikany, Yong-Bing Xiang, Jerome I. Rotter, Vilmundur Gudnason, Cornelia M. van Duijn, Ko Willems van Dijk, Andrea R. V. R. Horimoto, Jonathan Marten, Olli T. Raitakari, Vincent Laville, Pirjo Komulainen, Zhe Wang, Traci M. Bartz, Mary F. Feitosa, Mike A. Nalls, Eric Boerwinkle, Alanna C. Morrison, Melanie Waldenberger, Alexander P. Reiner, Christie M. Ballantyne, Wei Zheng, Raphael Heinzer, M. Arfan Ikram, Colleen M. Sitlani, Lisa de las Fuentes, Patricia B. Munroe, Patricia A. Peyser, Brian E. Cade, Tamar Sofer, Xiaofeng Zhu, Nienke R. Biermasz, Harold Snieder, Elise Lim, Tuomas O. Kilpeläinen, Ching-Ti Liu, Terho Lehtimäki, Thomas W. Winkler, Leo-Pekka Lyytikäinen, Gudny Eiriksdottir, Stephen Sidney, Alan B. Zonderman, Charles Kooperberg, Leiden University Medical Center (LUMC), Universiteit Leiden, Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), Universität Regensburg (UR), National Institutes of Health [Bethesda] (NIH), University of Copenhagen = Københavns Universitet (UCPH), Icahn School of Medicine at Mount Sinai [New York] (MSSM), The University of Texas Health Science Center at Houston (UTHealth), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Massachusetts General Hospital [Boston], Harvard T.H. Chan School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), University of Mississippi Medical Center (UMMC), Erasmus University Medical Center [Rotterdam] (Erasmus MC), University of Alabama at Birmingham [ Birmingham] (UAB), University of Washington [Seattle], Universidade de São Paulo Medical School (FMUSP), Icelandic Heart Association [Kopavogur, Iceland] (IHA), University of Michigan [Ann Arbor], University of Michigan System, University of Georgia [USA], School of Public Health [Boston], Boston University [Boston] (BU), Wake Forest University, Pennington Biomedical Research Center, Louisiana State University (LSU), University of Edinburgh, University of Tartu, Imperial College London, University of Ioannina, Huazhong University of Science and Technology [Wuhan] (HUST), Helmholtz Zentrum München = German Research Center for Environmental Health, Fimlab Laboratories [Tampere, Finland], University of Tampere [Finland], Lausanne University Hospital, University of Groningen [Groningen], This project was supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). This research was supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health. Tuomas O. Kilpeläinen was supported by the Danish Council for Independent Research (DFF–6110-00183) and the Novo Nordisk Foundation (NNF18CC0034900, NNF17OC0026848 and NNF15CC0018486). Diana van Heemst was supported by the European Commission funded project HUMAN (Health-2013-INNOVATION-1-602757). Susan Redline was supported in part by NIH R35HL135818 and HL11338., European Project: 602757,EC:FP7:HEALTH,FP7-HEALTH-2013-INNOVATION-1,HUMAN(2013), Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, University of Copenhagen = Københavns Universitet (KU), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Helmholtz-Zentrum München (HZM), Van Duijn, CM, Wang, Heming [0000-0002-1486-7495], Bentley, Amy R [0000-0002-0827-9101], Schwander, Karen [0000-0002-0193-4134], Manning, Alisa [0000-0003-0247-902X], Aschard, Hugues [0000-0002-7554-6783], Richard, Melissa [0000-0003-0129-9860], de Las Fuentes, Lisa [0000-0002-4689-325X], Feitosa, Mary [0000-0002-0933-2410], van der Spek, Ashley [0000-0001-7136-0159], Wang, Zhe [0000-0002-8046-4969], Marten, Jonathan [0000-0001-6916-2014], Laville, Vincent [0000-0003-4946-698X], Evangelou, Evangelos [0000-0002-5488-2999], He, Meian [0000-0002-2096-921X], Lyytikäinen, Leo-Pekka [0000-0002-7200-5455], Marques-Vidal, Pedro [0000-0002-4548-8500], Nolte, Ilja M [0000-0001-5047-4077], Palmer, Nicholette D [0000-0001-8883-2511], Snieder, Harold [0000-0003-1949-2298], Weiss, Stefan [0000-0002-3553-4315], Yanek, Lisa R [0000-0001-7117-1075], Adolfo, Correa [0000-0002-9501-600X], Dimou, Niki [0000-0003-1678-9328], Heikkinen, Sami [0000-0002-6083-2402], Ikram, M Arfan [0000-0003-0372-8585], Krieger, Jose E [0000-0001-5464-1792], Lee, Jiwon [0000-0002-4079-7494], Liu, Jingmin [0000-0003-0001-6013], Martin, Lisa W [0000-0003-4352-0914], Metspalu, Andres [0000-0002-3718-796X], Rensen, Patrick CN [0000-0002-8455-4988], Rich, Stephen S [0000-0003-3872-7793], Rotter, Jerome I [0000-0001-7191-1723], Sofer, Tamar [0000-0001-8520-8860], Taylor, Kent D [0000-0002-2756-4370], Uitterlinden, André G [0000-0002-7276-3387], van Dijk, Ko Willems [0000-0002-2172-7394], Elliott, Paul [0000-0002-7511-5684], Esko, Tõnu [0000-0003-1982-6569], Grabe, Hans J [0000-0003-3684-4208], Zheng, Wei [0000-0003-1226-070X], Bouchard, Claude [0000-0002-0048-491X], Gudnason, Vilmundur [0000-0001-5696-0084], Loos, Ruth JF [0000-0002-8532-5087], Cupples, L Adrienne [0000-0003-0273-7965], Munroe, Patricia B [0000-0002-4176-2947], Liu, Ching-Ti [0000-0002-0703-0742], Apollo - University of Cambridge Repository, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Home Office, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), and UK DRI Ltd
Subjects: Male, 0301 basic medicine, Epidemiology, General Physics and Astronomy, Genome-wide association study, Genome-wide association studies, Svefnrannsóknir, 0302 clinical medicine, MESH: Aged, 80 and over, Polymorphism (computer science), lcsh:Science, MESH: Phylogeny, Phylogeny, Aged, 80 and over, Genetics, MESH: Aged, [STAT.AP]Statistics [stat]/Applications [stat.AP], Multidisciplinary, MESH: Middle Aged, medicine.diagnostic_test, MESH: Polymorphism, Single Nucleotide, Chromosome Mapping, Middle Aged, Explained variation, Lipids, Sleep in non-human animals, Blóðfita, ddc, 3. Good health, MESH: Young Adult, Female, lipids (amino acids, peptides, and proteins), Erfðarannsóknir, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Adolescent, MESH: Sleep, Science, Biology, Polymorphism, Single Nucleotide, MESH: Genetic Loci, Article, General Biochemistry, Genetics and Molecular Biology, Young Adult, 03 medical and health sciences, Phylogenetics, Svefn, medicine, Humans, SNP, Dyslipidaemias, Aged, MESH: Adolescent, MESH: Humans, Faraldsfræði, PCSK9, MESH: Adult, General Chemistry, MESH: Lipids, MESH: Male, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, lcsh:Q, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Sleep, Lipid profile, MESH: Chromosome Mapping, MESH: Female, 030217 neurology & neurosurgery
Abstract: Publisher's version (útgefin grein)., Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles., This project was supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). This research was supported in part by the Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health. Tuomas O. Kilpeläinen was supported by the Danish Council for Independent Research (DFF–6110-00183) and the Novo Nordisk Foundation (NNF18CC0034900, NNF17OC0026848 and NNF15CC0018486). Diana van Heemst was supported by the European Commission funded project HUMAN (Health-2013-INNOVATION-1-602757). Susan Redline was supported in part by NIH R35HL135818 and HL11338. Study-specific acknowledgements can be found in the Supplementary Notes 2 and 4. The data on coronary artery disease have been contributed by the Myocardial Infarction Genetics and CARDIoGRAM investigators, and have been downloaded from www.CARDIOGRAMPLUSC4D.ORG.
Published: 2019

4. Multi-omics insights into the biological mechanisms underlying gene-by-lifestyle interactions with smoking and alcohol consumption detected by genome-wide trans-ancestry meta-analysis

Author: Nora Franceschini, W. James Gauderman, L. Adrienne Cupples, Alisa K. Manning, Paul S. de Vries, Karen Schwander, Michael A. Province, C. Charles Gu, Vincent Laville, Daniel Levy, Daniel I. Chasman, Alanna C. Morrison, Timothy D. Majarian, Dabeeru C. Rao, Charles N. Rotimi, Michael R. Brown, Yun Ju Sung, Hugues Aschard, Amy R. Bentley, and Mary F. Feitosa
Subjects: Concordance, Meta-analysis, Genotype, Trait, Epigenetics, Computational biology, Biology, Phenotype, Gene, Genome
Abstract: Gene-lifestyle interaction analyses have identified genetic variants whose effect on cardiovascular risk-raising traits is modified by alcohol consumption and smoking behavior. The biological mechanisms of these interactions remain largely unknown, but may involve epigenetic modification linked to perturbation of gene expression. Diverse, individual-level datasets including genotypes, methylation and gene expression conditional on lifestyle factors, are ideally suited to study this hypothesis, yet are often unavailable for large numbers of individuals. Summary-level data, such as effect sizes of genetic variants on a phenotype, present an opportunity for multi-omic study of the biological mechanisms underlying gene-lifestyle interactions. We propose a method that unifies disparate, publicly available summary datasets to build mechanistic hypotheses in models of smoking behavior and alcohol consumption with blood lipid levels and blood pressure measures. Of 897 observed genetic interactions, discovered through genome-wide analysis in diverse multi-ethnic cohorts, 48 were identified with lifestyle-related differentially methylated sites within close proximity and linked to target genes. Smoking behavior and blood lipids account for 37 and 28 of these signals respectively. Five genes also showed differential expression conditional on lifestyle factors within these loci with mechanisms supported in the literature. Our analysis demonstrates the utility of summary data in characterizing observed gene-lifestyle interactions and prioritizes genetic loci for experimental follow up related to blood lipids, blood pressure, and cigarette smoking. We show concordance between multiple trait-or exposure-related associations from diverse assays, driving hypothesis generation for better understanding gene-lifestyle interactions.
Published: 2021

5. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Author: Alexandre C. Pereira, Jie Yao, Makoto Hirata, Ozren Polasek, Dragana Vuckovic, Mariaelisa Graff, Jing Hua Zhao, Michael R. Brown, Xuan Deng, Barbara V. Howard, Vilmundur Gudnason, Tuomo Rankinen, Yuan Shi, Timo A. Lakka, Ulrich Broeckel, Anuradhani Kasturiratne, Eric Boerwinkle, Charles Kooperberg, Hugues Aschard, Stephen S. Rich, Pamela J. Schreiner, Dan E. Arking, Hans J. Grabe, Ilaria Gandin, Mario Sims, Carl D. Langefeld, Yii-Der Ida Chen, Meian He, W. James Gauderman, Bruce M. Psaty, Kent D. Taylor, Tõnu Esko, Olli T. Raitakari, Saima Afaq, Maik Pietzner, Federica Laguzzi, Dennis O. Mook-Kanamori, Gregory P. Wilson, Xiuqing Guo, Jaspal S. Kooner, David R. Jacobs, Yajuan Wang, Raha Pazoki, Wei Zhao, Andres Metspalu, Mary F. Feitosa, Jost B. Jonas, Tin Aung, Tamara B. Harris, Karin Leander, Nancy L. Pedersen, Charles B. Eaton, Sharon L.R. Kardia, Bernardo L. Horta, Candace M. Kammerer, Terrence Forrester, Alexander P. Reiner, Paul W. Franks, Tanika N. Kelly, Igor Rudan, Ruben N. Eppinga, Melissa A. Richard, Colin A. McKenzie, Christine Williams, Christian Gieger, Joseph H. Lee, Brigitte Kühnel, Christopher P. Nelson, Wen Bin Wei, Antonietta Robino, Anne U. Jackson, E. Shyong Tai, Alisa K. Manning, Lisa R. Yanek, Paul Elliott, Lynne E. Wagenknecht, Ananda R. Wickremasinghe, José Eduardo Krieger, Peter S. Sever, Nora Franceschini, André G. Uitterlinden, Paul M. Ridker, Yun J. Sung, Karen L. Mohlke, Thomas H. Mosley, Nilesh J. Samani, Patricia B. Munroe, Jennifer A. Smith, John M. C. Connell, H. Janaka de Silva, Nicholas Y. Q. Tan, Jian'an Luan, Jennifer E. Huffman, Anna F. Dominiczak, Carsten Oliver Schmidt, Christie M. Ballantyne, Peter J. van der Most, Anuj Goel, Jerome I. Rotter, Amy R. Bentley, Lihua Wang, Rajkumar Dorajoo, Lenore J. Launer, Yechiel Friedlander, Mickaël Canouil, Traci M. Bartz, Thomas Meitinger, Robert A. Scott, Mike A. Nalls, Xueling Sim, Sarah E. Harris, Michael A. Province, Chew-Kiat Heng, Zhe Wang, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Virginia Fisher, Leslie J. Raffel, Renée de Mutsert, Michele K. Evans, Brenda W.J.H. Penninx, Yih Chung Tham, Tin Louie, Nana Matoba, Lawrence F. Bielak, Andrea R. V. R. Horimoto, Jingmin Liu, Lynda M. Rose, Nona Sotoodehnia, Daniel I. Chasman, Jasmin Divers, John M. Starr, Patricia A. Peyser, Ervin R. Fox, Barry I. Freedman, Megan L. Grove, Jeffrey R. O'Connell, Rob M. van Dam, Michiaki Kubo, Jessica D. Faul, Fang-Chi Hsu, Yize Li, Ilja M. Nolte, Caroline Hayward, Paolo Gasparini, Chiea Chuen Khor, Changwei Li, Xu Chen, James E. Hixson, Patrik K. E. Magnusson, John C. Chambers, Yoichiro Kamatani, Sami Heikkinen, M. Abdullah Said, Martin Farrall, Alena Stančáková, Konstantin Strauch, Albert V. Smith, Yik Ying Teo, Bamidele O. Tayo, Tamar Sofer, Caizheng Yu, Maris Alver, Oscar H. Franco, Yongmei Liu, Ioanna Ntalla, Myriam Fornage, W. Craig Johnson, Dina Vojinovic, William R. Scott, David R. Weir, Yanick Hagemeijer, Raymond Noordam, Mathilde Boissel, Cornelia M. van Duijn, Karen Schwander, Jingzhong Ding, James Scott, Diana van Heemst, Ching-Yu Cheng, Woon-Puay Koh, Jianjun Liu, Kenneth J. Mukamal, Blair H. Smith, Claude Bouchard, Claudia Langenberg, Jingjing Liang, Wei Zheng, Najaf Amin, Ulf de Faire, Bing Yu, Archie Campbell, Kari E. North, Salman M. Tajuddin, Fernando Pires Hartwig, Steve B. Kritchevsky, Tibor V. Varga, Pirjo Komulainen, Hugh Watkins, Johanna Kuusisto, Kurt Lohman, Rozenn N. Lemaitre, Ani Manichaikul, Dabeeru C. Rao, Kenneth Rice, Weihua Zhang, Franco Giulianini, Reedik Mägi, Solomon K. Musani, Wanqing Wen, Nicholas J. Wareham, Charles N. Rotimi, Marzyeh Amini, Rainer Rauramaa, Nicholette D. Palmer, Annette Peters, Neil R Poulter, Benjamin Lehne, Matthias Nauck, Harold Snieder, Donald W. Bowden, M. Arfan Ikram, Lisa de las Fuentes, C. Charles Gu, Xiaofeng Zhu, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Lili Milani, L. Adrienne Cupples, Yuri Milaneschi, Kiang Liu, Stephen Sidney, Alan B. Zonderman, Thomas W. Winkler, Ian J. Deary, Fumihiko Takeuchi, Mary K. Wojczynski, Pim van der Harst, Leo-Pekka Lyytikäinen, Jennifer G. Robinson, Chuan Gao, Xiao-Ou Shu, Diane M. Becker, Mohsen Ghanbari, Alanna C. Morrison, Jian-Min Yuan, Tomohiro Katsuya, Ivana Kolcic, Melanie Waldenberger, Terho Lehtimäki, Heikki A. Koistinen, Erin B. Ware, Ya Xing Wang, Marie Loh, Treva Rice, Qing Duan, Aldi T. Kraja, Sabanayagam Charumathi, Tien Yin Wong, Paul S. de Vries, Yujie Wang, Muhammad Riaz, Home Office, Action on Hearing Loss, Imperial College Healthcare NHS Trust- BRC Funding, British Heart Foundation, Medical Research Council (MRC), Wellcome Trust, National Institute for Health Research, Luan, Jian'an [0000-0003-3137-6337], Pietzner, Maik [0000-0003-3437-9963], Zhao, Jing Hua [0000-0003-4930-3582], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, APH - Mental Health, Psychiatry, APH - Digital Health, The University of Texas Health Science Center at Houston (UTHealth), National Institutes of Health [Bethesda] (NIH), Washington University in Saint Louis (WUSTL), University of Regensburg, Queen Mary University of London (QMUL), Washington University School of Medicine in St. Louis, Harbor UCLA Medical Center [Torrance, Ca.], University of North Carolina at Chapel Hill (UNC), Singapore National Eye Centre and Duke-NUS [Singapore], Singapore Eye Research Institute [Singapore] (SERI), National University of Singapore (NUS), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), University Management, Department of Medicine, University of Helsinki, Endokrinologian yksikkö, HUS Abdominal Center, Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study), Epidemiology, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), de Vries, Paul S, Brown, Michael R, Bentley, Amy R, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Schwander, Karen, Kraja, Aldi T, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Aschard, Hugue, Bartz, Traci M, Bielak, Lawrence F, Deng, Xuan, Dorajoo, Rajkumar, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Evangelou, Evangelo, Graff, Mariaelisa, Alver, Mari, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Lee, Joseph H, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Riaz, Muhammad, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stancáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Ballantyne, Christie, Boerwinkle, Eric, Broeckel, Ulrich, Campbell, Archie, Canouil, Mickaël, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M, de Faire, Ulf, de Las Fuentes, Lisa, de Mutsert, Renée, de Silva, H Janaka, Ding, Jingzhong, Dominiczak, Anna F, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Fisher, Virginia, Forrester, Terrence, Franco, Oscar H, Friedlander, Yechiel, Ghanbari, Mohsen, Giulianini, Franco, Grabe, Hans J, Grove, Megan L, Gu, C Charle, Harris, Tamara B, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hixson, James E, Howard, Barbara V, Ikram, M Arfan, Jacobs, David R, Johnson, Craig, Jonas, Jost Bruno, Kammerer, Candace M, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O, Koh, Woon-Puay, Koistinen, Heikki A, Kolcic, Ivana, Kooperberg, Charle, Krieger, Jose E, Kritchevsky, Steve B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lemaitre, Rozenn N, Li, Yize, Liang, Jingjing, Liu, Jianjun, Liu, Kiang, Loh, Marie, Louie, Tin, Mägi, Reedik, Manichaikul, Ani W, Mckenzie, Colin A, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Mosley, Thomas H, Mukamal, Kenneth J, Nalls, Mike A, Nauck, Matthia, Nelson, Christopher P, Sotoodehnia, Nona, O'Connell, Jeff R, Palmer, Nicholette D, Pazoki, Raha, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Poulter, Neil, Raffel, Leslie J, Raitakari, Olli T, Reiner, Alex P, Rice, Treva K, Rich, Stephen S, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Shi, Yuan, Sidney, Stephen, Sims, Mario, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tan, Nichola, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, van Heemst, Diana, Vuckovic, Dragana, Waldenberger, Melanie, Wang, Lihua, Wang, Yujie, Wang, Zhe, Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K, Yao, Jie, Yu, Bing, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo L, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Leander, Karin, Lehtimäki, Terho, Magnusson, Patrik K E, Penninx, Brenda, Pereira, Alexandre C, Rauramaa, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wang, Ya Xing, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Zheng, Wei, Elliott, Paul, North, Kari E, Bouchard, Claude, Evans, Michele K, Gudnason, Vilmundur, Liu, Ching-Ti, Liu, Yongmei, Psaty, Bruce M, Ridker, Paul M, van Dam, Rob M, Kardia, Sharon L R, Zhu, Xiaofeng, Rotimi, Charles N, Mook-Kanamori, Dennis O, Fornage, Myriam, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Liu, Jingmin, Rotter, Jerome I, Gauderman, W Jame, Province, Michael A, Munroe, Patricia B, Rice, Kenneth, Chasman, Daniel I, Cupples, L Adrienne, Rao, Dabeeru C, Morrison, Alanna C, and Academic Medical Center
Subjects: Male, Epidemiology, Genome-wide association study, Cardiovascular, MESH: Genotype, Substance Misuse, Alcohol Use and Health, 0302 clinical medicine, Aetiology, triglycerides, 11 Medical and Health Sciences, Public, Environmental & Occupational Health, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, MESH: Life Style, genome wide, gene-alcohol interaction, lipid levels, Lipid Measurement, Lifelines Cohort, DENSITY-LIPOPROTEIN CHOLESTEROL, MESH: Young Adult, 030220 oncology & carcinogenesis, Kexin, LOW-FREQUENCY, MESH: Cholesterol, HDL, MESH: Cholesterol, LDL, MESH: Triglycerides, HDL, Alcohol Drinking, Genotype, alcohol consumption, MESH: Phenotype, LDL, lipids, 03 medical and health sciences, Genetics, Humans, Life Style, METAANALYSIS, 01 Mathematical Sciences, Aged, MESH: Adolescent, HDL CHOLESTEROL, MESH: Humans, Science & Technology, Cholesterol, APOBEC1, Lifelines Cohort, Groningen, The Netherlands (Lifelines Cohort Study), MESH: Vascular Endothelial Growth Factor B, Racial Groups, cholesterol, The Netherlands, MESH: Adult, CONSUMPTION, chemistry, MESH: Genome-Wide Association Study, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Lipid profile, MESH: Female, MESH: Alcohol Drinking, MESH: Continental Population Groups, Vascular Endothelial Growth Factor B, Original Contributions, Blood lipids, VEGF-B, Medical and Health Sciences, Mathematical Sciences, BLOOD-LIPIDS, chemistry.chemical_compound, 2.1 Biological and endogenous factors, 030212 general & internal medicine, MESH: Aged, medicine.diagnostic_test, PLASMA, gene-environment interactions, Middle Aged, 3142 Public health care science, environmental and occupational health, Alcoholism, Phenotype, Female, gene-lifestyle interactions, genome-wide association studies, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, Groningen, Adult, Adolescent, Biology, Young Adult, medicine, CORONARY-HEART-DISEASE, Human Genome, Cholesterol, HDL, Lipid metabolism, Cholesterol, LDL, InterAct Consortium, MESH: Lipids, MESH: Male, INDIVIDUALS, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Genome-Wide Association Study
Abstract: © The Author(s) 2019. A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-Alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2- degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10?6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10?8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models. National Heart, Lung, and Blood Institute; American Heart Association Grant
Published: 2019

6. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author: Katja Butterbach, Julyann Pérez-Mayoral, Douglas F. Easton, Stefanie Brezina, Ben Zhang, Frank J. Manion, Hansong Wang, Sanford D. Markowitz, Liesel M. FitzGerald, Sun Ha Jee, Michelle Cotterchio, Daniel D. Buchanan, Timothy R. Church, Wolfgang Lieb, Xiao-Ou Shu, John L. Hopper, Stephanie A. Bien, Manuela Gago-Dominguez, Jian Gong, Laurence N. Kolonel, Graham G. Giles, Leon Raskin, Yingchang Lu, Kristen Anton, Charles S. Fuchs, Fränzel J.B. van Duijnhoven, Hermann Brenner, Yi Lin, Clicerio Gonzalez-Villalpando, Yong-Bing Xiang, Aaron K. Aragaki, Daniela Seminara, Stephanie M. Gogarten, Gad Rennert, Jose E. Castelao, Rocky Fischer, Antonio J. Molina, Jarmo Virtamo, Tabitha A. Harrison, Volker Arndt, Lee Soo Chin, Michael Hoffmeister, Mark A. Jenkins, Shu Chen Huang, Chris S. Carlson, Stéphane Bézieau, Rebecca D. Jackson, Bhramar Mukherjee, Darin Taverna, Bridget M. Riggs, Christopher K. Edlund, Christopher A. Haiman, Melissa C. Southey, Anna H. Wu, Marilena Melas, Antonia Trichopoulou, Hedy S. Rennert, Gianluca Severi, Stephen B. Gruber, Noralane M. Lindor, Gerhard A. Coetzee, Richard B. Hayes, Sarah J. Plummer, Keitaro Matsuo, Mathieu Lemire, Philipp Hofer, Neil Murphy, José María Huerta, Paul D.P. Pharoah, Erin M. Siegel, Sébastien Küry, Thomas J. Hudson, Annika Lindblom, Marcia Cruz Correa, Michael O. Woods, Sophia Harlid, Tilman Kuehn, David Shibata, Christopher I. Li, Stephen N. Thibodeau, Stephen J. Chanock, Jochen Hampe, Flavio Lejbkowicz, Jeroen R. Huyghe, Suminori Kono, Jenny Chang-Claude, Aung Ko Win, Brent W. Zanke, Alicja Wolk, David V. Conti, Elena M. Gonzalez-Villalpando, Christopher I. Amos, Shuo Jiao, Domenico Palli, Vicente Martín, Jesus P. Paredes Cotoré, Stephanie J. Weinstein, Andrea Gsur, William M. Grady, Koichi Matsuda, Loic Le Marchand, Hanane Omichessan, Marc J. Gunter, Graham Casey, Li Li, Zsofia K. Stadler, Eric J. Jacobs, Kevin McDonnell, Dallas R. English, Demetrius Albanes, Amit Joshi, Wei Zheng, Mariana C. Stern, Cecelia A. Laurie, Jing Ma, Cornelia M. Ulrich, Stephanie L. Schmit, Victor Moreno, John D. Potter, Chenxu Qu, Bette J. Caan, Heinz-Josef Lenz, M. Henar Alonso, Andrea Z. LaCroix, Christoph Mancao, John F. Harju, Yun Ru Liu, Jane C. Figueiredo, Gregory Idos, Kana Wu, Duncan C. Thomas, Motoki Iwasaki, W. James Gauderman, Thomas A. Sellers, David Van Den Berg, Barbara K. Fortini, David N. Levine, James M. Church, Ya Wen Cheng, Edith J. M. Feskens, Edward Giovannucci, Manish Gala, Polly A. Newcomb, Charles Kooperberg, Iona Cheng, David J. Hunter, Martha L. Slattery, Roger L. Milne, Lars G. Fritsche, Niha Zubair, Steven Gallinger, Yi Xin Zeng, Wei Shi, Andrew T. Chan, Fotios Loupakis, Vittorio Krogh, Clemens Schafmayer, Sun-Seog Kweon, Bethany van Guelpan, Amanda Bloomer, Kenneth Offit, Stephanie Tring, Shoichiro Tsugane, David Duggan, Fredrick R. Schumacher, Joseph Vijai, Weihua Jia, Marie-Christine Boutron-Ruault, Joel K. Greenson, Frank Luh, Ulrike Peters, Keith R. Curtis, Juergen Boehm, Robert E. Schoen, Sonja I. Berndt, Elizabeth L. Barry, Sebastian Stintzing, Li Hsu, Emily White, Conghui Qu, Peter T. Campbell, Caroline McNeil, and Yun Yen
Subjects: Oncology, Cancer Research, medicine.medical_specialty, Genotype, Nutrition and Disease, Colorectal cancer, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Càncer colorectal, Internal medicine, Voeding en Ziekte, Ethnicity, medicine, Genetic predisposition, Genetics, Humans, Life Science, Genetic Predisposition to Disease, Oncology & Carcinogenesis, Allele, Allele frequency, Genetic association, VLAG, Global Nutrition, Wereldvoeding, Oncology And Carcinogenesis, Case-control study, Articles, Prognosis, medicine.disease, United States, 3. Good health, Genetic Loci, Case-Control Studies, 030220 oncology & carcinogenesis, Colorectal Neoplasms, Genètica, Follow-Up Studies, Genome-Wide Association Study
Abstract: Background Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10−8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. Methods We conducted a GWAS in European descent CRC cases and control subjects using a discovery–replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10−8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. Results The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10−8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. Conclusions This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.
Published: 2019

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

Author: Charles M. Connolly, Deborah A. Nickerson, Jian Gong, Sébastien Küry, Barbara Pardini, Brent W. Zanke, Andrea Gsur, Jochen Hampe, Coral Arnau-Collell, M. Henar Alonso, Elio Riboli, Annika Lindblom, Ulrike Peters, Gad Rennert, Tabitha A. Harrison, Lori C. Sakoda, Caroline McNeil, Flavio Lejbkowicz, Hyun Min Kang, David J. Hunter, Martha L. Slattery, Miguel Rodríguez-Barranco, Christina Bamia, Satu Männistö, Timothy J. Key, W. James Gauderman, Gonçalo R. Abecasis, Sanford D. Markowitz, Laurence N. Kolonel, Mark A. Jenkins, Yi Lin, Robin Myte, Hedy S. Rennert, Neil Murphy, Antonia Trichopoulou, Christopher I. Li, Ross L. Prentice, Sai Chen, Stephanie J. Weinstein, Kristin E. Anderson, Hua Ling, Mitul Shah, Philipp Hofer, Wen Yi Huang, Sergi Castellví-Bel, Susanna C. Larsson, Maria Dolores Chirlaque, Wei Zheng, Stephanie L. Schmit, Cecelia A. Laurie, Soo-Chin Lee, David Forman, Andrea N. Burnett-Hartman, Giovanna Masala, Sarah C. Nelson, Michael O. Woods, Charles Kooperberg, Qing Zhang, Sonja I. Berndt, Christopher S. Carlson, Katja Butterbach, Hyeong Rok Kim, Rebecca D. Jackson, David Van Den Berg, Michael C. Bassik, Amanda J. Cross, Sushma S. Thomas, Clemens Schafmayer, Anna H. Wu, Douglas F. Easton, Robert W. Haile, Ludmila Vodickova, Graham G. Giles, Yu Ru Su, Jenny Chang-Claude, Lorena Moreno, Peter C. Scacheri, Stefanie Brezina, Min-Ho Shin, Steven Gallinger, Bethany Van Guelpen, Daniel D. Buchanan, Roger L. Milne, Stephen J. Chanock, Tin Louie, Tameka Shelford, Emily White, Kala Visvanathan, Loic Le Marchand, Veronika Vymetalkova, Roxann G. Ingersoll, Temitope O. Keku, Stephanie A. Bien, Fredrick R. Schumacher, Wan-Ling Hsu, Amanda E. Toland, John S. Grove, Noralane M. Lindor, Faye Elliott, Leon Raskin, Heather Hampel, Joshua D. Smith, Vicente Martín, David V. Conti, Sjoerd G. Elias, Henk J. van Kranen, Manish Gala, Daniela Seminara, Syed H.E. Zaidi, Suzanne M. Leal, Tilman Kühn, Korbinian Weigl, Marc J. Gunter, Cornelia M. Ulrich, Peyton Greenside, Victor Moreno, John D. Potter, Michael Hoffmeister, Eric J. Jacobs, Catherine M. Tangen, Jihyoun Jeon, Fränzel J.B. Van Duijnhoven, Andrew T. Chan, Stephen B. Gruber, John A. Baron, Alicja Wolk, Edith J. M. Feskens, Demetrius Albanes, Amit Joshi, Bette J. Caan, Polly A. Newcomb, Stéphane Bézieau, Elizabeth M. Gillanders, Anshul Kundaje, Elizabeth A. Platz, Michael Wainberg, Sun-Seog Kweon, C. Roland Wolf, Gemma Ibáñez-Sanz, Shuji Ogino, Emiko Kobayashi, Richard B. Hayes, Patrick S. Parfrey, Katarina Cuk, Stephen N. Thibodeau, Kenneth Offit, David Duggan, Sophia Harlid, Pavel Vodicka, Juergen Boehm, Christa Stegmaier, Jeroen R. Huyghe, Joseph Vijai, Sang-Hee Cho, Elizabeth W. Pugh, Rachel Pearlman, Alessio Naccarati, Marilena Melas, Graham Casey, Jane Romm, Stephan Buch, Phyllis J. Goodman, Albert de la Chapelle, John L. Hopper, Zsofia K. Stadler, Corinne E. Joshu, Liesel M. FitzGerald, Wolfgang Lieb, Aung Ko Win, Keith R. Curtis, Hermann Brenner, Christopher K. Edlund, Li Hsu, Conghui Qu, Peter T. Campbell, Robert E. Schoen, Heiner Boeing, D. Timothy Bishop, Kimberly F. Doheny, Sabina Sieri, Barbara L. Banbury, Mathieu Lemire, Jane C. Figueiredo, Gregory Idos, Katerina Shulman, Thomas J. Hudson, Melissa C. Southey, Duncan C. Thomas, Paul D.P. Pharoah, Mila Pinchev, Vittorio Perduca, Rocky Fischer, Volker Arndt, William M. Grady, Nasa Sinnott-Armstrong, N. Charlotte Onland-Moret, David M. Levine, Li Li, Dallas R. English, Health Research Board - Ireland, Department of Medical Genetics, HMNC Brain Health, Case Western Reserve University [Cleveland], National Cancer Institute, NIH, Division of Clinical Epidemiology and Aging Research, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Service de Génétique, Centre hospitalier universitaire de Nantes (CHU Nantes), Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Division of Cancer Epidemiology, Cancer Genome Project, The Wellcome Trust Sanger Institute [Cambridge], Division of Signaling Biology, Ontario Cancer Institute, Consorcio de Investigación Biomédica en Red especializado en Epidemiología y Salud Pública (CIBERESP), Los Centros de Investigación Biomédica en Red (CIBER), National Institute of Standards and Technology [Gaithersburg] (NIST), Ohio State University [Columbus] (OSU), Centre for Cancer Genetic Epidemiology, University of Cambridge [UK] (CAM), Section of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, Cancer Epidemiology Centre, Cancer Council Victoria, Division of Human Nutrition, Wageningen University and Research [Wageningen] (WUR), Division of Public Health Sciences, Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Northern and Yorkshire Cancer Registry and Information Service, Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), University of Melbourne, Nutrition and Metabolism Section, International Agency for Cancer Research (IACR), Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, London School of Hygiene and Tropical Medicine (LSHTM), Fraunhofer Institute for Manufacturing Engineering and Automation (Fraunhofer IPA), Fraunhofer (Fraunhofer-Gesellschaft), Centre for Molecular , Environmental, Genetic and Analytic (MEGA) Epidemiology, University of Melbourne-Centre for Molecular, Melbourne School of Population Health, Department of Mathematics, University of Warwick, Warwick Mathematics Institute (WMI), University of Warwick [Coventry]-University of Warwick [Coventry], Department of Statistics, Penn State University, University of Pennsylvania [Philadelphia], Tata Memorial Centre, Cancer Epidemiology Unit, University of Oxford [Oxford], Thermo Fisher Scientific, Thermo Fisher Scientific Inc., Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Baylor University-Baylor University, National University Health System, Department of Community Medicine and Epidemiology, CHS National Cancer Control Center, Ontario Institute for Cancer Research [Canada] (OICR), Ontario Institute for Cancer Research, Laboratoire de Génie Electrique de Grenoble (G2ELab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Chronic Disease Epidemiology and Prevention Unit, National Institute for Health and Welfare [Helsinki], Dell-EMC, Molecular and Nutritional Epidemiology Unit (ISPO), Cancer Research and Prevention Institute, Clinical Genetics Service, Memorial Sloane Kettering Cancer Center [New York], Department of Pathology, Brigham and Women's Hospital [Boston], University Medical Center [Utrecht], Mathématiques Appliquées Paris 5 (MAP5 - UMR 8145), Université Paris Descartes - Paris 5 (UPD5)-Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Centre National de la Recherche Scientifique (CNRS), Department of Oncology, Department of Epidemiology and Biostatistics, Imperial College London, Department of Visceral and Thoracic Surgery [Kiel, Germany], University Hospital Schleswig-Holstein [Kiel, Germany], Nutritional Epidemiology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, entre for Molecular, Environmental, Genetic and Analytic (MEGA) Epidemiology, Department of Laboratory Medicine and Department of Pathology, Mayo Clinic College of Medicine, Department of Molecular Virology, Immunology and Medical Genetics [Colombus], Ohio State University [Columbus] (OSU)-College of Medicine and Public Health [Colombus], Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School [Athens], Department of Medical Biosciences and Pathology, Umeå University, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Dundee Technopole, CXR Biosciences Ltd, Karolinska Institutet [Stockholm], CINTRA / SEEE Nanyang Technological University, Nanyang Technological University [Singapour], Center for Astrophysical Sciences [Baltimore], Johns Hopkins University (JHU), Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT), Department of Preventive Medicine, University of Southern California (USC), Biomedical Research Centre Network for Rare Diseases, CIBER de Enfermedades Raras (CIBERER), Medstar Research Institute, Department of Genome Sciences [Seattle] (GS), University of Washington [Seattle], Department of Internal Medicine, Epidemiology, Human Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Wageningen University and Research Centre [Wageningen] (WUR), Mount Sinai Hospital (MSH), Fraunhofer Institute for Manufacturing Engineering and Automation [Stuttgart] (IPA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Czech Academy of Sciences [Prague] (ASCR), Huyghe, Jeroen R [0000-0001-6027-9806], Harrison, Tabitha A [0000-0002-4173-7530], Chen, Sai [0000-0003-3106-5643], Schmit, Stephanie L [0000-0001-5931-1194], Jeon, Jihyoun [0000-0001-7003-3412], Schumacher, Fredrick R [0000-0002-3073-7463], Nelson, Sarah C [0000-0002-2109-6465], Sinnott-Armstrong, Nasa A [0000-0003-4490-0601], Alonso, M Henar [0000-0003-0285-5451], Arndt, Volker [0000-0001-9320-8684], Bézieau, Stéphane [0000-0003-0095-1319], Bishop, D Timothy [0000-0002-8752-8785], Brezina, Stefanie [0000-0001-5238-6900], Buchanan, Daniel D [0000-0003-2225-6675], Chanock, Stephen J [0000-0002-2324-3393], de la Chapelle, Albert [0000-0001-9345-9248], Easton, Douglas F [0000-0003-2444-3247], Hampe, Jochen [0000-0002-2421-6127], Hayes, Richard B [0000-0002-0918-661X], Hofer, Philipp [0000-0003-2550-6019], Huang, Wen-Yi [0000-0002-4440-3368], Hudson, Thomas J [0000-0002-1376-4849], Jacobs, Eric J [0000-0002-8458-7659], Jenkins, Mark A [0000-0002-8964-6160], Joshi, Amit D [0000-0001-7581-6934], Küry, Sébastien [0000-0001-5497-0465], Larsson, Susanna C [0000-0003-0118-0341], Laurie, Cecelia A [0000-0001-6569-2501], Martín, Vicente [0000-0003-0552-2804], Masala, Giovanna [0000-0002-5758-9069], Milne, Roger L [0000-0001-5764-7268], Naccarati, Alessio [0000-0001-5774-0905], Newcomb, Polly A [0000-0001-8786-0043], Pardini, Barbara [0000-0001-9571-4257], Perduca, Vittorio [0000-0003-0339-0473], Pharoah, Paul DP [0000-0001-8494-732X], Raskin, Leon [0000-0003-1195-7214], Rennert, Gad [0000-0002-8512-068X], Shin, Min-Ho [0000-0002-2217-5624], Toland, Amanda E [0000-0002-0271-1792], Vijai, Joseph [0000-0002-7933-151X], Weigl, Korbinian [0000-0003-4453-2036], Win, Aung Ko [0000-0002-2794-5261], Wolk, Alicja [0000-0001-7387-6845], Zheng, Wei [0000-0003-1226-070X], Bassik, Michael C [0000-0001-5185-8427], Moreno, Victor [0000-0002-2818-5487], Peters, Ulrike [0000-0001-5666-9318], and Apollo - University of Cambridge Repository
Subjects: Male, Nutrition and Disease, Colorectal cancer, IDENTIFIES 6, Genome-wide association study, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, Genotype, ComputingMilieux_MISCELLANEOUS, Avaluació del risc per la salut, Genetics & Heredity, Genetics, 0303 health sciences, COLON-CANCER, 11 Medical And Health Sciences, Middle Aged, 3. Good health, Medical genetics, Female, RNA, Long Noncoding, Colorectal Neoplasms, Life Sciences & Biomedicine, Signal Transduction, EXPRESSION, medicine.medical_specialty, SUSCEPTIBILITY LOCI, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Polymorphism, Single Nucleotide, Article, Health risk assessment, 03 medical and health sciences, QUALITY-CONTROL, Càncer colorectal, Journal Article, medicine, Life Science, Humans, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, METAANALYSIS, VLAG, Aged, 030304 developmental biology, Global Nutrition, [SDV.GEN]Life Sciences [q-bio]/Genetics, Wereldvoeding, Science & Technology, ORGAN SIZE, MUTATIONS, Haplotype, Case-control study, 06 Biological Sciences, medicine.disease, Genetic architecture, Case-Control Studies, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Human genome, LYSOPHOSPHATIDIC ACID, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P, Reporting Summary. Further information on experimental design is available in the Life Sciences Reporting Summary linked to this article.
Published: 2018

8. Genetic architectures of proximal and distal colorectal cancer are partly distinct

Author: Stephanie J. Weinstein, Rami Nassir, Fredrick R. Schumacher, Neil Murphy, M. Henar Alonso, Satu Männistö, Hedy S. Rennert, Manish Gala, Phyllis J. Goodman, Albert de la Chapelle, Tilman Kühn, Fränzel J.B. Van Duijnhoven, Paul D.P. Pharoah, Anshul Kundaje, Juergen Boehm, W. James Gauderman, Mark A. Jenkins, Vittorio Perduca, Polly A. Newcomb, Amanda I. Phipps, Christopher I. Li, Douglas F. Easton, Antonia Trichopoulou, Kristin E. Anderson, Daniel D. Buchanan, Peter C. Scacheri, William M. Grady, Liher Imaz, Veronika Vymetalkova, Wan-Ling Hsu, Prudence R. Carr, Martha L. Slattery, Keith R. Curtis, Elizabeth A. Platz, Sai Chen, Graham G. Giles, D. Timothy Bishop, David M. Levine, Michael Hoffmeister, Duncan C. Thomas, Roger L. Milne, Michael O. Woods, Michael C. Bassik, Andrea Gsur, Dallas R. English, David V. Conti, Sébastien Küry, Wolfgang Lieb, Jochen Hampe, Coral Arnau-Collell, Steven Gallinger, Emily White, John S. Grove, Antoni Castells, Hermann Brenner, Amanda E. Toland, Noralane M. Lindor, Aurora Perez-Cornago, David Duggan, Temitope O. Keku, Edith J. M. Feskens, Heather Hampel, Korbinian Weigl, Li Li, Li Hsu, Conghui Qu, Peter T. Campbell, John L. Hopper, Volker Arndt, Jenny Chang-Claude, Lorena Moreno, John A. Baron, Stephen N. Thibodeau, Robert E. Schoen, Jeroen R. Huyghe, Rachel Pearlman, Sanford D. Markowitz, Amanda J. Cross, Stephan Buch, Barbara L. Banbury, Thomas J. Hudson, Yu Ru Su, Marc J. Gunter, Stephen B. Gruber, Heiner Boeing, Demetrius Albanes, Wen Yi Huang, Sergi Castellví-Bel, Jane C. Figueiredo, Catherine M. Tangen, Andrew T. Chan, Annika Lindblom, Deborah A. Nickerson, Richard B. Hayes, Lori C. Sakoda, Flavio Lejbkowicz, Salvatore Panico, Alicja Wolk, Kenneth Offit, John D. Potter, Leon Raskin, Bette J. Caan, Clemens Schafmayer, Mingyang Song, Lihong Qi, Elio Riboli, Hyun Min Kang, Sophia Harlid, Pavel Vodicka, Ludmila Vodickova, Cornelia M. Ulrich, Stephanie L. Schmit, Victor Moreno, Anna H. Wu, Brenda Diergaarde, Bethany Van Guelpen, Kala Visvanathan, Loic Le Marchand, Mazda Jenab, Amit Joshi, Stefanie Brezina, Stephanie A. Bien, Charles Kooperberg, Shuji Ogino, Daniela Seminara, Graham Casey, Andrea N. Burnett-Hartman, Robert W. Haile, Ulrike Peters, Gad Rennert, Tabitha A. Harrison, Ross L. Prentice, Yi Lin, Antonio Agudo, Gonçalo R. Abecasis, Sonja I. Berndt, Stephen J. Chanock, Stéphane Bézieau, Patrick S. Parfrey, Richard Barfield, Marie-Christine Boutron-Ruault, Huyghe, Jeroen R [0000-0001-6027-9806], Brenner, Hermann [0000-0002-6129-1572], Buchanan, Daniel D [0000-0003-2225-6675], Chan, Andrew T [0000-0001-7284-6767], Gsur, Andrea [0000-0002-9795-1528], Hampe, Jochen [0000-0002-2421-6127], Hoffmeister, Michael [0000-0002-8307-3197], Huang, Wen-Yi [0000-0002-4440-3368], Jenab, Mazda [0000-0002-0573-1852], Murphy, Neil [0000-0003-3347-8249], Peters, Ulrike [0000-0001-5666-9318], and Apollo - University of Cambridge Repository
Subjects: Male, 0301 basic medicine, Oncology, Candidate gene, Nutrition and Disease, Colorectal cancer, Genome-wide association study, Bioinformatics, medicine.disease_cause, Germline, colon carcinogenesis, Transcriptome, 0302 clinical medicine, Risk Factors, Voeding en Ziekte, Genotype, Age of Onset, Cecum, Aged, 80 and over, Gastroenterology, Middle Aged, cancer susceptibility, Primary tumor, Colon, Descending, 030220 oncology & carcinogenesis, Colonic Neoplasms, Female, Medical Genetics, Colon, Transverse, Adult, medicine.medical_specialty, Colon, cancer genetics, colorectal cancer, Biology, Polymorphism, Single Nucleotide, White People, Colon, Ascending, Genetic Heterogeneity, Young Adult, 03 medical and health sciences, Age Distribution, Medicina preventiva, genetic polymorphisms, Colon, Sigmoid, Càncer colorectal, Internal medicine, medicine, Genetics, Humans, Alleles, VLAG, Genetic association, Medicinsk genetik, Aged, Global Nutrition, Preventive medicine, Wereldvoeding, Cancer och onkologi, Gastroenterology & Hepatology, Rectal Neoplasms, Cancer, 1103 Clinical Sciences, medicine.disease, digestive system diseases, 030104 developmental biology, Cancer and Oncology, Case-Control Studies, 1114 Paediatrics and Reproductive Medicine, Human genome, Carcinogenesis, Genètica, Genome-Wide Association Study
Abstract: ObjectiveAn understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for sporadic CRC differs by anatomical subsite of the primary tumor has not been examined.DesignTo identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48,214 CRC cases and 64,159 controls of European ancestry. We characterized effect heterogeneity at CRC risk loci using multinomial modeling.ResultsWe identified 13 loci that reached genome-wide significance (P−8) and that were not reported by previous GWAS for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer.ConclusionGenetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumor.Significance of this studyWhat is already known about this subject?Heterogeneity among colorectal cancer (CRC) tumors originating at different locations of the colorectum has been revealed in somatic genomes, epigenomes, and transcriptomes, and in some established environmental risk factors for CRC.Genome-wide association studies (GWAS) have identified over 100 genetic variants for overall CRC risk; however, a comprehensive analysis of the extent to which genetic risk factors differ by the anatomical sublocation of the primary tumor is lacking.What are the new findings?In this large consortium-based study, we analyzed clinical and genome-wide genotype data of 112,373 CRC cases and controls of European ancestry to comprehensively examine whether CRC case subgroups defined by anatomical sublocation have distinct germline genetic etiologies.We discovered 13 new loci at genome-wide significance (P−8) that were specific to certain anatomical sublocations and that were not reported by previous GWAS for overall CRC risk; multiple lines of evidence support strong candidate target genes at several of these loci, including PTGER3, LCT, MLH1, CDX1, KLF14, PYGL, BCL11B, and BMP7.Systematic heterogeneity analysis of genetic risk variants for CRC identified thus far, revealed that the genetic architectures of proximal and distal CRC are partly distinct.Taken together, our results further support the idea that tumors arising in different anatomical sublocations of the colorectum may have distinct etiologies.How might it impact on clinical practice in the foreseeable future?Our results provide an informative resource for understanding the differential role that genes and pathways may play in the mechanisms of proximal and distal CRC carcinogenesis.The new insights into the etiologies of proximal and distal CRC may inform the development of new precision prevention strategies, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention.Our findings suggest that future studies of etiological risk factors for CRC and molecular mechanisms of carcinogenesis should take into consideration the anatomical sublocation of the colorectal tumor.
Published: 2021

9. Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure

Author: Lisa W. Martin, Tuomas O. Kilpeläinen, Xiuqing Guo, Kurt Lohman, Ching-Ti Liu, Jerome I. Rotter, Pirjo Komulainen, Lili Milani, Ilja M. Nolte, Yuri Milaneschi, Andres Metspalu, Yii-Der Ida Chen, Tõnu Esko, Jovia L. Nierenberg, Mika Kähönen, Marjan Ilkov, Dennis O. Mook-Kanamori, Karen Schwander, W. James Gauderman, Hanfei Xu, Vilmundur Gudnason, Alisa K. Manning, Gudny Eiriksdottir, David R. Hillman, Elise Lim, Hugues Aschard, John M. Starr, Michael R. Brown, Alanna C. Morrison, Eric Boerwinkle, Stefan Weiss, Maris Alver, Konstantin Strauch, Thomas Meitinger, Tuomo Rankinen, Timo A. Lakka, Harold Snieder, Stephen S. Rich, Yun Ju Sung, Diana van Heemst, Wanqing Wen, Marcus Dörr, Peter J. van der Most, Terho Lehtimäki, Nora Franceschini, Treva Rice, Amy R. Bentley, Dan E. Arking, Susan Redline, Nienke R. Biermasz, Sarah E. Harris, Melanie Waldenberger, Claude Bouchard, M. Arfan Ikram, Walter Palmas, Lynne E. Wagenknecht, Bruce M. Psaty, Daniel Levy, Cornelia M. van Duijn, Joshua C. Bis, Kelly A. Hall, José Eduardo Krieger, Tanika N. Kelly, Kari E. North, Brigitte Kühnel, Phyllis C. Zee, Melissa A. Richard, Lyle J. Palmer, Till Roenneberg, Alexandre C. Pereira, Yongmei Liu, Andrea R. V. R. Horimoto, Jie Yao, Han Chen, Jiang He, Pamela J. Schreiner, Patricia B. Munroe, Wei Zheng, Charles Kooperberg, Paul S. de Vries, Ana Barac, Rainer Rauramaa, Leo-Pekka Lyytikäinen, James M. Shikany, Brian E. Cade, Christian Gieger, Stephen Sidney, Alan B. Zonderman, Tamar Sofer, Chuan Gao, Thomas W. Winkler, Xiao-Ou Shu, Ian J. Deary, Uwe Völker, RJ Waken, Heming Wang, Myriam Fornage, Brenda W.J.H. Penninx, Gregory P. Wilson, Dina Vojinovic, Robert B. Wallace, Kenneth Rice, Ervin R. Fox, Jeffrey R. O'Connell, Annemarie I. Luik, Traci M. Bartz, Xiaofeng Zhu, Najaf Amin, Nicholette D. Palmer, Sami Heikkinen, Kumaraswamynaidu Chitrala, Raymond Noordam, Jiwon Lee, André G. Uitterlinden, Sutapa Mukherjee, Hans J. Grabe, Mario Sims, Sina A. Gharib, Daniel J. Gottlieb, Dabeeru C. Rao, Annette Peters, Reedik Mägi, Solomon K. Musani, Michele K. Evans, Lenore J. Launer, Harvard Medical School [Boston] (HMS), Broad Institute [Cambridge], Harvard University-Massachusetts Institute of Technology (MIT), Hallym University, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Leiden University Medical Center (LUMC), Universiteit Leiden, This project was supported by the US National Heart, Lung, and Blood Institute (NHLBI) R01HL118305. HW and SR were supported by NHLBI R35HL135818. BEC was supported by NHLBI K01HL135405. ARB was supported by the Intramural Research Program of the National Institutes of Health in the Center for Research on Genomics and Global Health (CRGGH). The CRGGH is supported by the National Human Genome Research Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Center for Information Technology, and the Office of the Director at the National Institutes of Health (1ZIAHG200362). D.v.H. was supported by the European Commission funded project HUMAN (Health-2013-INNOVATION-1-602757). The CHARGE cohorts were supported in part by NHLBI infrastructure grant HL105756. Study-specific acknowledgments can be found in the Supplementary Notes., European Project: 602757,EC:FP7:HEALTH,FP7-HEALTH-2013-INNOVATION-1,HUMAN(2013), Life Course Epidemiology (LCE), Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Digital Health, Massachusetts Institute of Technology (MIT)-Harvard University [Cambridge], Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Tampere University, Department of Clinical Chemistry, Clinical Medicine, and Department of Clinical Physiology and Nuclear Medicine
Subjects: 0301 basic medicine, Mean arterial pressure, Diastole, Blood Pressure, Biology, 3121 Internal medicine, Genome, Polymorphism, Single Nucleotide, Elevated blood, 3124 Neurology and psychiatry, Article, Cellular and Molecular Neuroscience, 03 medical and health sciences, TRPC3, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Humans, Molecular Biology, Gene, 030304 developmental biology, Genetics, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], Short sleep, Sleep in non-human animals, Pulse pressure, Psychiatry and Mental health, 030104 developmental biology, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, Hypertension, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Sleep, [STAT.ME]Statistics [stat]/Methodology [stat.ME], 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups using 1 degree of freedom (1df) interaction and 2df joint tests. Primary multi-ancestry analyses in 62,969 individuals in stage 1 identified 3 novel loci that were replicated in an additional 59,296 individuals in stage 2, including rs7955964 (FIGNL2/ANKRD33) showing significant 1df interactions with long sleep duration and rs73493041 (SNORA26/C9orf170) and rs10406644 (KCTD15/LSM14A) showing significant 1df interactions with short sleep duration (Pint < 5×10−8). Secondary ancestry-specific two-stage analyses and combined stage 1 and 2 analyses additionally identified 23 novel loci that need external replication, including 3 and 5 loci showing significant 1df interactions with long and short sleep duration, respectively (Pint < 5×10−8). Multiple genes mapped to our 26 novel loci have known functions in sleep-wake regulation, nervous and cardiometabolic systems. We also identified new gene by long sleep interactions near five known BP loci (≤1Mb) including NME7, FAM208A, MKLN1, CEP164, and RGL3/ELAVL3 (Pint < 5×10−8). This study indicates that sleep and primary mechanisms regulating BP may interact to elevate BP level, suggesting novel insights into sleep-related BP regulation.
Published: 2020

10. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Author: Yongmei Liu, Tuomas O. Kilpeläinen, Kenneth Rice, Ching-Ti Liu, Jin-Fang Chai, Donna K. Arnett, Dhananjay Vaidya, Nicholette D. Palmer, Lili Milani, Yuri Milaneschi, Leo-Pekka Lyytikäinen, Colleen M. Sitlani, Richard S. Cooper, Gudny Eiriksdottir, Daniel Levy, Jerome I. Rotter, Lihua Wang, Sven Bergmann, Yih Chung Tham, Thomas Meitinger, Lynne E. Wagenknecht, Virginia Fisher, Babatunde L. Salako, Vilmundur Gudnason, Bamidele O. Tayo, Caizheng Yu, Barry I. Freedman, Muhammad Riaz, Kaare Christensen, Ulrich Broeckel, W. James Gauderman, Massimiliano Cocca, Eric Boerwinkle, Meian He, Rob M. van Dam, M. Arfan Ikram, Lisa de las Fuentes, Jiang He, Aldi T. Kraja, Nancy L. Pedersen, Albert V. Smith, Woon-Puay Koh, Bernardo L. Horta, He Gao, Traci M. Bartz, Mike A. Nalls, Federica Laguzzi, Raymond Noordam, Paul M. Ridker, Tien Yin Wong, Patricia B. Munroe, Paul S. de Vries, Adolfo Correa, Maris Alver, Dan E. Arking, Colin A. McKenzie, John M. Starr, Chi Charles Gu, Dongfeng Gu, Stefan Weiss, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Jill M. Norris, Patrik K. E. Magnusson, Tamar Sofer, Ioanna Ntalla, Xiuqing Guo, Paul Elliott, Lawrence F. Bielak, Konstantin Strauch, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Ilja M. Nolte, Steven C. Hunt, Mario Sims, Giorgia Girotto, Chuan Gao, Pamela J. Schreiner, Philippe Froguel, Archie Campbell, Xiao-Ou Shu, Claude Bouchard, Kurt Lohman, David R. Weir, José Eduardo Krieger, Yii-Der Ida Chen, Rainer Rauramaa, Walter Palmas, Cornelia M. van Duijn, James M. Shikany, Michael M. Province, Jennifer A. Smith, Wei Zheng, Xiaofeng Zhu, Jianjun Liu, Ozren Polasek, Alexandre C. Pereira, Diane M. Becker, Kari E. North, Salman M. Tajuddin, Deng Xuan, Leslie J. Raffel, Jie Yao, Astrid Petersmann, Ervin F. Fox, Mark J. Caulfield, Daniel I. Chasman, Jasmin Divers, Claudia P. Cabrera, Rico Rueedi, M. Yldau van der Ende, Carl D. Langefeld, Mika Kähönen, Terrence Forrester, Tangchun Wu, Harold Snieder, Caroline Hayward, Tamara B. Harris, Fang-Chi Hsu, Helen R. Warren, Brenda W.J.H. Penninx, Chiea Chuen Khor, Ruifang Li-Gao, Changwei Li, Sami Heikkinen, Jeffrey R. O'Connell, Christian Gieger, Michele K. Evans, Ching-Yu Cheng, Jingjing Liang, Stephen B. Kritchevsky, Gregory L. Burke, Donald W. Bowden, Alexander Teumer, Marcus Dörr, Alanna C. Morrison, Jian-Min Yuan, Annette Peters, Dennis O. Mook-Kanamori, Pedro Marques-Vidal, Pirjo Komulainen, Lisa R. Yanek, Melanie Waldenberger, Alisa K. Manning, Charles N. Rotimi, Chew-Kiat Heng, Tõnu Esko, Franco Giulianini, Miao Li Chee, Treva Rice, David J. Porteous, Yechiel Friedlander, Bing Yu, Myriam Fornage, Karin Leander, Dina Vojinovic, Sharon L.R. Kardia, Xiaoyin Li, Najaf Amin, Karen Schwander, Thomas T. Perls, Oscar Leonel Rueda-Ochoa, Erin B. Ware, Ya Xing Wang, Sandosh Padmanabhan, H. Janaka de Silva, André G. Uitterlinden, Rajkumar Dorajoo, Bruna Gigante, Jennifer A. Brody, Paolo Gasparini, Maryam Kavousi, Wanqing Wen, Stephen Sidney, Alan B. Zonderman, Michael R. Brown, Tuomo Rankinen, Timo A. Lakka, Yun Ju Sung, Alaitz Poveda, Bruce M. Psaty, Terho Lehtimäki, Tanika N. Kelly, Igor Rudan, Brigitte Kühnel, Christopher P. Nelson, John M. C. Connell, Mickaël Canouil, Niek Verweij, Thomas W. Winkler, Ian J. Deary, Marco Brumat, Yize Li, Fumihiko Takeuchi, Wei Zhao, Andres Metspalu, Marguerite R. Irvin, David C. Liewald, Pim van der Harst, Hugues Aschard, Candace M. Kammerer, Melissa A. Richard, Adesola Ogunniyi, Wen Bin Wei, Morris A. Swertz, Fernando Pires Hartwig, Dabeeru C. Rao, Reedik Mägi, Solomon K. Musani, Mathilde Boissel, Jonathan Marten, Nilesh J. Samani, Amy R. Bentley, Sarah E. Harris, Charumathi Sabanayagam, Mary F. Feitosa, Jost B. Jonas, Andrea R. V. R. Horimoto, Paul W. Franks, E. Shyong Tai, Medical Research Council (MRC), de las Fuentes, L., Sung, Y. J., Noordam, R., Winkler, T., Feitosa, M. F., Schwander, K., Bentley, A. R., Brown, M. R., Guo, X., Manning, A., Chasman, D. I., Aschard, H., Bartz, T. M., Bielak, L. F., Campbell, A., Cheng, C. -Y., Dorajoo, R., Hartwig, F. P., Horimoto, A. R. V. R., Li, C., Li-Gao, R., Liu, Y., Marten, J., Musani, S. K., Ntalla, I., Rankinen, T., Richard, M., Sim, X., Smith, A. V., Tajuddin, S. M., Tayo, B. O., Vojinovic, D., Warren, H. R., Xuan, D., Alver, M., Boissel, M., Chai, J. -F., Chen, X., Christensen, K., Divers, J., Evangelou, E., Gao, C., Girotto, G., Harris, S. E., He, M., Hsu, F. -C., Kuhnel, B., Laguzzi, F., Li, X., Lyytikainen, L. -P., Nolte, I. M., Poveda, A., Rauramaa, R., Riaz, M., Rueedi, R., Shu, X. -O., Snieder, H., Sofer, T., Takeuchi, F., Verweij, N., Ware, E. B., Weiss, S., Yanek, L. R., Amin, N., Arking, D. E., Arnett, D. K., Bergmann, S., Boerwinkle, E., Brody, J. A., Broeckel, U., Brumat, M., Burke, G., Cabrera, C. P., Canouil, M., Chee, M. L., Chen, Y. -D. I., Cocca, M., Connell, J., de Silva, H. J., de Vries, P. S., Eiriksdottir, G., Faul, J. D., Fisher, V., Forrester, T., Fox, E. F., Friedlander, Y., Gao, H., Gigante, B., Giulianini, F., Gu, C. C., Gu, D., Harris, T. B., He, J., Heikkinen, S., Heng, C. -K., Hunt, S., Ikram, M. A., Irvin, M. R., Kahonen, M., Kavousi, M., Khor, C. C., Kilpelainen, T. O., Koh, W. -P., Komulainen, P., Kraja, A. T., Krieger, J. E., Langefeld, C. D., Li, Y., Liang, J., Liewald, D. C. M., Liu, C. -T., Liu, J., Lohman, K. K., Magi, R., Mckenzie, C. A., Meitinger, T., Metspalu, A., Milaneschi, Y., Milani, L., Mook-Kanamori, D. O., Nalls, M. A., Nelson, C. P., Norris, J. M., O'Connell, J., Ogunniyi, A., Padmanabhan, S., Palmer, N. D., Pedersen, N. L., Perls, T., Peters, A., Petersmann, A., Peyser, P. A., Polasek, O., Porteous, D. J., Raffel, L. J., Rice, T. K., Rotter, J. I., Rudan, I., Rueda-Ochoa, O. -L., Sabanayagam, C., Salako, B. L., Schreiner, P. J., Shikany, J. M., Sidney, S. S., Sims, M., Sitlani, C. M., Smith, J. A., Starr, J. M., Strauch, K., Swertz, M. A., Teumer, A., Tham, Y. C., Uitterlinden, A. G., Vaidya, D., van der Ende, M. Y., Waldenberger, M., Wang, L., Wang, Y. -X., Wei, W. -B., Weir, D. R., Wen, W., Yao, J., Yu, B., Yu, C., Yuan, J. -M., Zhao, W., Zonderman, A. B., Becker, D. M., Bowden, D. W., Deary, I. J., Dorr, M., Esko, T., Freedman, B. I., Froguel, P., Gasparini, P., Gieger, C., Jonas, J. B., Kammerer, C. M., Kato, N., Lakka, T. A., Leander, K., Lehtimaki, T., Magnusson, P. K. E., Marques-Vidal, P., Penninx, B. W. J. H., Samani, N. J., van der Harst, P., Wagenknecht, L. E., Wu, T., Zheng, W., Zhu, X., Bouchard, C., Cooper, R. S., Correa, A., Evans, M. K., Gudnason, V., Hayward, C., Horta, B. L., Kelly, T. N., Kritchevsky, S. B., Levy, D., Palmas, W. R., Pereira, A. C., Province, M. M., Psaty, B. M., Ridker, P. M., Rotimi, C. N., Tai, E. S., van Dam, R. M., van Duijn, C. M., Wong, T. Y., Rice, K., Gauderman, W. J., Morrison, A. C., North, K. E., Kardia, S. L. R., Caulfield, M. J., Elliott, P., Munroe, P. B., Franks, P. W., Rao, D. C., Fornage, M., Washington University in Saint Louis (WUSTL), Leiden University Medical Center (LUMC), University of Regensburg, Washington University School of Medicine in St. Louis, National Institutes of Health [Bethesda] (NIH), Harbor UCLA Medical Center [Torrance, Ca.], Massachusetts General Hospital [Boston], Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard School of Public Health, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (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), The University of Texas Health Science Center at Houston (UTHealth), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Digital Health, Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Lifelines Cohort Study, Epidemiology, Radiology & Nuclear Medicine, Internal Medicine, Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), and Cardiovascular Centre (CVC)
Subjects: 0301 basic medicine, CORONARY-HEART-DISEASE, SOCIOECONOMIC-STATUS, RISK-FACTORS, CARDIOVASCULAR-DISEASE, ESSENTIAL-HYPERTENSION, C825T POLYMORPHISM, SOCIAL-CLASS, ASSOCIATION, EXPRESSION, VARIANTS, Blood Pressure, Genome, 0302 clinical medicine, 11 Medical and Health Sciences, Genetics, Psychiatry, [STAT.AP]Statistics [stat]/Applications [stat.AP], 17 Psychology and Cognitive Sciences, Psychiatry and Mental health, Meta-analysis, Hypertension, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, GNB3, Biochemistry & Molecular Biology, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Lifelines Cohort Study, SDG 3 - Good Health and Well-being, Humans, Risk factor, Molecular Biology, Gene, Science & Technology, Neurosciences, Epistasis, Genetic, 06 Biological Sciences, Genetic architecture, Educational attainment, 030104 developmental biology, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Genetic Loci, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurosciences & Neurology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Blood Pressure/genetics, Genome-Wide Association Study, Hypertension/genetics, 030217 neurology & neurosurgery
Abstract: Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10 -8 ). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.
Published: 2020

11. Asthma and its relationship to mitochondrial copy number: Results from the Asthma Translational Genomics Collaborative (ATGC) of the Trans-Omics for Precision Medicine (TOPMed) program

Author: Samantha Hochstadt, Deborah A. Nickerson, Kyle Whitehouse, Gonçalo R. Abecasis, Rajesh Kumar, Maxwell P Cocco, Patrick M. A. Sleiman, W. James Gauderman, David E. Lanfear, Fernando J. Martinez, Thomas W. Blackwell, Donglei Hu, Jun Ding, Hakon Hakonarson, Evan White, Soren Germer, Kevin R. Bobbitt, Angel C.Y. Mak, Dean Rynkowski, Esteban G. Burchard, David J. Erle, Andrea J. Barczak, Hongsheng Gui, Hyun Min Kang, Frank D. Gilliland, Albert M. Levin, Mao Yang, Shujie Xiao, L. Keoki Williams, and Mersha, Tesfaye B
Subjects: Male, Pulmonology, Biomedical, Physiology, Mitochondrion, Genome, Biochemistry, Haplogroup, Translational Research, Biomedical, Cohort Studies, White Blood Cells, Medical Conditions, Animal Cells, Medicine and Health Sciences, Leukocytes, Ethnicities, African American people, Translational Medical Research, Lung, Energy-Producing Organelles, Genetics, African Americans, Multidisciplinary, Serial Analysis of Gene Expression, Genomics, Population groupings, Middle Aged, Flow Cytometry, Mitochondria, Body Fluids, Mitochondrial, Blood, Respiratory, Medicine, Female, Cellular Structures and Organelles, Anatomy, Cellular Types, Transcriptome Analysis, Research Article, Biotechnology, Adult, Mitochondrial DNA, DNA Copy Number Variations, General Science & Technology, Immune Cells, Science, Immunology, Biology, Bioenergetics, Research and Analysis Methods, DNA, Mitochondrial, Sensitivity and Specificity, Respiratory Disorders, Young Adult, Clinical Research, Translational Research, medicine, Gene Expression and Vector Techniques, Humans, Molecular Biology Techniques, Gene, Molecular Biology, Asthma, Proportional Hazards Models, Evolutionary Biology, Molecular Biology Assays and Analysis Techniques, Blood Cells, Population Biology, Base Sequence, Whole Genome Sequencing, Human Genome, Biology and Life Sciences, Computational Biology, Cell Biology, DNA, Omics, medicine.disease, Genome Analysis, Blood Counts, Black or African American, Good Health and Well Being, Logistic Models, Electron Transport Chain Complex Proteins, Haplogroups, RNA, People and places, Population Genetics, Human mitochondrial DNA haplogroup
Abstract: Author(s): Cocco, Maxwell P; White, Evan; Xiao, Shujie; Hu, Donglei; Mak, Angel; Sleiman, Patrick; Yang, Mao; Bobbitt, Kevin R; Gui, Hongsheng; Levin, Albert M; Hochstadt, Samantha; Whitehouse, Kyle; Rynkowski, Dean; Barczak, Andrea J; Abecasis, Goncalo; Blackwell, Thomas W; Kang, Hyun Min; Nickerson, Deborah A; Germer, Soren; Ding, Jun; Lanfear, David E; Gilliland, Frank; Gauderman, W James; Kumar, Rajesh; Erle, David J; Martinez, Fernando; Hakonarson, Hakon; Burchard, Esteban G; Williams, L Keoki | Abstract: BackgroundMitochondria support critical cellular functions, such as energy production through oxidative phosphorylation, regulation of reactive oxygen species, apoptosis, and calcium homeostasis.ObjectiveGiven the heightened level of cellular activity in patients with asthma, we sought to determine whether mitochondrial DNA (mtDNA) copy number measured in peripheral blood differed between individuals with and without asthma.MethodsWhole genome sequence data was generated as part of the Trans-Omics for Precision Medicine (TOPMed) Program on participants from the Study of Asthma Phenotypes and Pharmacogenomic Interactions by Race-ethnicity (SAPPHIRE) and the Study of African Americans, Asthma, Genes, a Environment II (SAGE II). We restricted our analysis to individuals who self-identified as African American (3,651 asthma cases and 1,344 controls). Mitochondrial copy number was estimated using the sequencing read depth ratio for the mitochondrial and nuclear genomes. Respiratory complex expression was assessed using RNA-sequencing.ResultsAverage mitochondrial copy number was significantly higher among individuals with asthma when compared with controls (SAPPHIRE: 218.60 vs. 200.47, Pl0.001; SAGE II: 235.99 vs. 223.07, Pl0.001). Asthma status was significantly associated with mitochondrial copy number after accounting for potential explanatory variables, such as participant age, sex, leukocyte counts, and mitochondrial haplogroup. Despite the consistent relationship between asthma status and mitochondrial copy number, the latter was not associated with time-to-exacerbation or patient-reported asthma control. Mitochondrial respiratory complex gene expression was disproportionately lower in individuals with asthma when compared with individuals without asthma and other protein-encoding genes.ConclusionsWe observed a robust association between asthma and higher mitochondrial copy number. Asthma having an effect on mitochondria function was also supported by lower respiratory complex gene expression in this group.
Published: 2020

12. Dietary Nutrient Intake, Ethnicity, and Epigenetic Silencing of Lung Cancer Genes Detected in Sputum in New Mexican Smokers

Author: Daniel E. Juri, Guodong Wu, W. James Gauderman, Shuguang Leng, Xiequn Zhang, Steven A. Belinsky, Huining Kang, Frank D. Gilliland, Maria A. Picchi, and Piotr T. Filipczak
Subjects: Adult, Male, 0301 basic medicine, Cancer Research, Pathology, medicine.medical_specialty, Lung Neoplasms, New Mexico, Saturated fat, Nutritional Status, Physiology, Biology, Article, Epigenesis, Genetic, 03 medical and health sciences, 0302 clinical medicine, Biomarkers, Tumor, Ethnicity, medicine, Humans, Gene Silencing, Longitudinal Studies, Promoter Regions, Genetic, Lung cancer, Aged, Smoking, Sputum, Cancer, Nutrients, Methylation, DNA Methylation, Middle Aged, Prognosis, medicine.disease, Lung cancer susceptibility, Diet, respiratory tract diseases, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, DNA methylation, Female, Field cancerization, Energy Intake, Niacin, Follow-Up Studies
Abstract: Lung cancer gene methylation detected in sputum assesses field cancerization and predicts lung cancer incidence. Hispanic smokers have higher lung cancer susceptibility compared with non-Hispanic whites (NHW). We aimed to identify novel dietary nutrients affecting lung cancer gene methylation and determine the degree of ethnic disparity in methylation explained by diet. Dietary intakes of 139 nutrients were assessed using a validated Harvard food frequency questionnaire in 327 Hispanics and 1,502 NHWs from the Lovelace Smokers Cohort. Promoter methylation of 12 lung cancer genes was assessed in sputum DNA. A global association was identified between dietary intake and gene methylation (Ppermutation = 0.003). Seventeen nutrient measurements were identified with magnitude of association with methylation greater than that seen for folate. A stepwise approach identified B12, manganese, sodium, and saturated fat as the minimally correlated set of nutrients whose optimal intakes could reduce the methylation by 36% (Ppermutation < 0.001). Six protective nutrients included vitamin D, B12, manganese, magnesium, niacin, and folate. Approximately 42% of ethnic disparity in methylation was explained by insufficient intake of protective nutrients in Hispanics compared with NHWs. Functional validation of protective nutrients showed an enhanced DNA repair capacity toward double-strand DNA breaks, a mechanistic biomarker strongly linked to acquisition of lung cancer gene methylation in smokers. Dietary intake is a major modifiable factor for preventing promoter methylation of lung cancer genes in smokers' lungs. Complex dietary supplements could be developed on the basis of these protective nutrients for lung cancer chemoprevention in smokers. Hispanic smokers may benefit the most from this complex for reducing their lung cancer susceptibility. Cancer Prev Res; 11(2); 93–102. ©2017 AACR.
Published: 2018

13. Abstract 2578: Calcium modulates apoptosis and differentiation in human normal colon 3D organoids irrespective of donor sex and biopsy site

Author: W. James Gauderman, Duncan C. Thomas, Ulrike Peters, Graham Casey, Matthew Devall, Andre E. Kim, Stephen Eaton, Christopher H. Dampier, Jeroen R. Huyghe, Jennifer Bryant, Steven M. Powell, Fränzel J.B. Van Duijnhoven, and Virginia Díez-Obrero
Subjects: Cancer Research, medicine.diagnostic_test, Colorectal cancer, chemistry.chemical_element, Cancer, Calcium, Biology, medicine.disease, Andrology, Oncology, chemistry, Genotype, Gene expression, Biopsy, medicine, Organoid, Extracellular structure organization
Abstract: Background: Observational studies indicate that calcium, a micronutrient involved in numerous cell-signaling cascades, may protect against colon cancer. Stratified analyses suggest the protective effect of calcium may depend on sex and anatomic subsite, but these hypotheses have been difficult to test experimentally. Here, we employ human-derived normal colon 3D organoids as a model of the healthy colon crypt to interrogate the effect of calcium exposure on gene expression and the effect of donor sex and biopsy anatomic subsite on the response to calcium. Methods: A total of 39 3D colon organoid lines derived from colon biopsies (22 proximal, 17 distal) obtained from unrelated subjects (21 female, 18 male) during screening colonoscopy were grown under low (1.7 mM) calcium conditions, and a matching set of the same lines were grown under high (5.0 mM) calcium conditions. After 72 hours, total RNA was extracted from organoid lines, libraries were prepared with poly-A selection, and bulk RNA-sequencing was used to measure gene expression. DNA was extracted from the same lines and genotyped using the OncoArray 500K beadchip. Missing genotypes were imputed to the TOPMed reference panel using the TOPMed Imputation Server. Polygenic risk scores for colorectal cancer were calculated for each organoid line using Plink and 135 of 141 genome-wide significant SNPs associated with colorectal cancer in recent genome-wide association studies. Relative expression between low and high calcium conditions was tested using generalized linear models as implemented in DESeq2. Functional enrichment of gene ontologies among differentially expressed genes was performed with ToppFun. The effects of donor sex, biopsy subsite, and organoid polygenic risk score on response to calcium were tested using single and multiple linear regression as implemented in the base R lm function. Results: Exposure to calcium induced differential expression of 767 genes with a false discovery rate of 5%. Differentially expressed genes were enriched for biological processes including extracellular structure organization (Bonferroni p=1.6E-3) and positive regulation of apoptosis (Bonferroni p=2.2E-2). Although stratified analyses demonstrated more differentially expressed genes in 3D colon organoids derived from male subjects, no statistically significant effect of sex, subsite, or polygenic risk score on response to calcium was observed. Conclusion: We tested the effect of calcium exposure on gene expression in human-derived normal colon 3D organoids and found that calcium modulated processes related to differentiation and apoptosis, but the response to calcium was not affected by sex, anatomic subsite, or polygenic risk score. Citation Format: Christopher H. Dampier, Matthew Devall, Jennifer Bryant, Stephen D. Eaton, Jeroen R. Huyghe, Andre E. Kim, Virginia Diez-Obrero, Franzel J. van Duijnhoven, Duncan C. Thomas, Steven M. Powell, W James Gauderman, Ulrike Peters, Graham Casey. Calcium modulates apoptosis and differentiation in human normal colon 3D organoids irrespective of donor sex and biopsy site [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2578.
Published: 2021

14. Lessons Learned From Past Gene-Environment Interaction Successes

Author: Leah E. Mechanic, Brandon L. Pierce, Nilanjan Chatterjee, Peter Kraft, W. James Gauderman, Kimberly A. McAllister, Caroline M. Tanner, Beate Ritz, and Montserrat Garcia-Closas
Subjects: 0301 basic medicine, Candidate gene, Biomedical Research, Future studies, Epidemiology, Large population, Genome-wide association study, Computational biology, Biology, Models, Biological, Medical and Health Sciences, Mathematical Sciences, Special Article, 03 medical and health sciences, metabolism genes, Models, gene-environment, Humans, Disease, Genetic Predisposition to Disease, Gene–environment interaction, pathway genes, Exposure assessment, pharmacogenomics, Scale (chemistry), Genetic Variation, Environmental Exposure, interactions, Biological, 030104 developmental biology, exposure, Pharmacogenomics, genome-wide association studies, Gene-Environment Interaction, Genome-Wide Association Study
Abstract: Genetic and environmental factors are both known to contribute to susceptibility to complex diseases. Therefore, the study of gene-environment interaction (G×E) has been a focus of research for several years. In this article, select examples of G×E from the literature are described to highlight different approaches and underlying principles related to the success of these studies. These examples can be broadly categorized as studies of single metabolism genes, genes in complex metabolism pathways, ranges of exposure levels, functional approaches and model systems, and pharmacogenomics. Some studies illustrated the success of studying exposure metabolism for which candidate genes can be identified. Moreover, some G×E successes depended on the availability of high-quality exposure assessment and longitudinal measures, study populations with a wide range of exposure levels, and the inclusion of ethnically and geographically diverse populations. In several examples, large population sizes were required to detect G×Es. Other examples illustrated the impact of accurately defining scale of the interactions (i.e., additive or multiplicative). Last, model systems and functional approaches provided insights into G×E in several examples. Future studies may benefit from these lessons learned.
Published: 2017

15. Immune factors preceding diagnosis of glioma: a Prostate Lung Colorectal Ovarian Cancer Screening Trial nested case–control study

Author: Helen M. Hansen, Margaret Wrensch, W. James Gauderman, Joseph L. Wiemels, John K. Wiencke, Paige M. Bracci, Mi Zhou, Ivo S. Muskens, and Lucie McCoy
Subjects: 0301 basic medicine, Oncology, Urologic Diseases, medicine.medical_specialty, Aging, PLCO, Brain tumor, Logistic regression, Immunoglobulin E, 03 medical and health sciences, 0302 clinical medicine, Rare Diseases, Prostate, Clinical Research, Glioma, Internal medicine, glioma, TGF-β1, medicine, Genetics, Family history, Lung, Cancer, biology, business.industry, Prevention, medicine.disease, allergy, 3. Good health, Ovarian Cancer, Brain Disorders, Brain Cancer, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Nested case-control study, Basic and Translational Investigations, biology.protein, business, Ovarian cancer, TGF-beta 1
Abstract: Background Epidemiological studies of adult glioma have identified genetic and environmental risk factors, but much remains unclear. The aim of the current study was to evaluate anthropometric, disease-related, and prediagnostic immune-related factors for relationship with glioma risk. Methods We conducted a nested case–control study among the intervention arm of the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) Screening Trial. One hundred and twenty-four glioma cases were identified and each matched to four controls. Baseline characteristics were collected at enrollment and were evaluated for association with glioma status. Serum specimens were collected at yearly intervals and were analyzed for immune-related factors including TGF-β1, TNF-α, total IgE, and allergen-specific IgE. Immune factors were evaluated at baseline in a multivariate conditional logistic regression model, along with one additional model that incorporated the latest available measurement. Results A family history of glioma among first-degree relatives was associated with increased glioma risk (OR = 4.41, P = .002). In multivariate modeling of immune factors at baseline, increased respiratory allergen-specific IgE was inversely associated with glioma risk (OR for allergen-specific IgE > 0.35 PAU/L: 0.59, P = .03). A logistic regression model that incorporated the latest available measurements found a similar association for allergen-specific IgE (P = .005) and showed that elevated TGF-β1 was associated with increased glioma risk (P-value for trend Conclusion The results from this prospective prediagnostic study suggest that several immune-related factors are associated with glioma risk. The association observed for TGF-β1 when sampling closer to the time of diagnosis may reflect the nascent brain tumor’s feedback on immune function.
Published: 2019

16. A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Author: Bamidele O. Tayo, RJ Waken, Mario Sims, Diane M. Becker, Tõnu Esko, Yingchang Lu, Pamela J. Schreiner, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Archie Campbell, Ozren Polasek, Salman M. Tajuddin, Jing Hua Zhao, Barbara V. Howard, Saima Afaq, Vilmundur Gudnason, Lynda M. Rose, Francis S. Collins, Massimiliano Cocca, Ruth J. F. Loos, Yii-Der Ida Chen, W. James Gauderman, Jaspal S. Kooner, Lawrence F. Bielak, Ulrich Broeckel, Anuradhani Kasturiratne, Melissa A. Richard, Tomohiro Katsuya, Nicola D. Kerrison, Tin Aung, Lisa de las Fuentes, Lynne E. Wagenknecht, Oscar H. Franco, Yongmei Liu, Eric Boerwinkle, Nana Matoba, Saskia P. Hagenaars, Rob M. van Dam, Tibor V. Varga, Nilesh J. Samani, Tangchun Wu, Thomas H. Mosley, Caroline Hayward, Joseph H. Lee, Frida Renström, Tamara B. Harris, Alena Stančáková, Adesola Ogunniyi, Wen Bin Wei, Lenore J. Launer, Marcus Dörr, Xiuqing Guo, Jennifer A. Smith, Terho Lehtimäki, Dan E. Arking, Fang-Chi Hsu, Karin Leander, Martin Farrall, Konstantin Strauch, Albert V. Smith, Richard S. Cooper, Chiea Chuen Khor, Changwei Li, James E. Hixson, Sami Heikkinen, David R. Weir, Pirjo Komulainen, Renée de Mutsert, Raymond Noordam, Ubaydah Nasri, Paul M. Ridker, C. Charles Gu, Tamuno Alfred, Jerome I. Rotter, Nora Franceschini, Nita G. Forouhi, Lihua Wang, Alanna C. Morrison, Jian-Min Yuan, Ching-Yu Cheng, Peter S. Braund, Paul Elliott, Gregory P. Wilson, Jianjun Liu, Xiaofeng Zhu, Markku Laakso, Christian Gieger, Yukihide Momozawa, Rainer Rettig, Carsten Oliver Schmidt, Amy R. Bentley, Wei Zhao, Ioanna Ntalla, Kenneth Rice, Yoichiro Kamatani, Andres Metspalu, Helen R. Warren, Yechiel Friedlander, Susan Redline, Kurt Lohman, Cornelia M. van Duijn, Aravinda Chakravarti, Traci M. Bartz, Sarah E. Harris, Yih Chung Tham, He Gao, Mike A. Nalls, Mathilde Boissel, Donna K. Arnett, Harold Snieder, James S. Pankow, Babatunde L. Salako, Laura J. Bierut, Tin Louie, Albertine J. Oldehinkel, Xueling Sim, Thomas Meitinger, Maris Alver, Claudia Langenberg, Stephen B. Kritchevsky, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Alexandre C. Pereira, Michael R. Brown, Karen Schwander, Charles Kooperberg, Blair H. Smith, Annette Peters, Fernando Pires Hartwig, Yanhua Zhou, Jie Yao, Alisa K. Manning, Keng-Hung Lin, Dennis O. Mook-Kanamori, Ervin R. Fox, Tuomo Rankinen, Timo A. Lakka, Charles N. Rotimi, Nicholette D. Palmer, Jiang He, Nicholas J. Wareham, Jingmin Liu, Yun Ju Sung, Cathy C. Laurie, Donald W. Bowden, Yong-Bing Xiang, Lisa R. Yanek, B. Kuhnel, Nancy L. Pedersen, Yajuan Wang, Ananda R. Wickremasinghe, Jonathan Marten, Yi-Jen Hung, Dabeeru C. Rao, Bernardo L. Horta, Joel D. Kaufman, Barry I. Freedman, Chuan Gao, Olli T. Raitakari, Reedik Mägi, Solomon K. Musani, Albert Hofman, Wanqing Wen, Heming Wang, Xiao-Ou Shu, Y Liu, Mark J. Caulfield, Meian He, Daniel I. Chasman, Carl D. Langefeld, Charumathi Sabanayagam, Bruce M. Psaty, Jasmin Divers, R. Graham Barr, Chew-Kiat Heng, Stella Aslibekyan, John M. Starr, Stefan Weiss, Anuj Goel, Tuomas O. Kilpeläinen, Terrence Forrester, Mary F. Feitosa, Jost B. Jonas, Kae-Woei Liang, Colleen M. Sitlani, Daniel Levy, Marie Loh, Qing Duan, Aldi T. Kraja, Tien Yin Wong, Myriam Fornage, Andrea R. V. R. Horimoto, Michele K. Evans, David J. Porteous, Dina Vojinovic, Hua Tang, Michael A. Province, Ching-Ti Liu, Rainer Rauramaa, William R. Scott, Cora E. Lewis, Charles B. Eaton, Sharon L.R. Kardia, Michael Boehnke, James Scott, Colin A McKenzie, Jin-Fang Chai, Woon-Puay Koh, Yucheng Jia, Claude Bouchard, Peter S. Sever, Koichi Matsuda, Najaf Amin, Ulf de Faire, Walter Palmas, André G. Uitterlinden, Thomas T. Perls, Erin B. Ware, Wayne Huey-Herng Sheu, Michiaki Kubo, Ya Xing Wang, Hugh Watkins, Steven C. Hunt, Weihua Zhang, Johanna Kuusisto, Lili Milani, Rajkumar Dorajoo, Georg Ehret, L. Adrienne Cupples, Franco Giulianini, Zoltán Kutalik, Jose E Krieger, Kevin Sandow, Bruna Gigante, Alexander P. Reiner, Preeti Gupta, Heikki A. Koistinen, Treva Rice, Patricia B. Munroe, Wen-Jane Lee, Jennifer A. Brody, Paolo Gasparini, Paul W. Franks, Yik Ying Teo, Leo-Pekka Lyytikäinen, Thomas W. Winkler, Patricia A. Peyser, Ian J. Deary, Jessica D. Faul, Sing Hui Lim, Fumihiko Takeuchi, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, E. Shyong Tai, Candace M Kammerer, Mary K. Wojczynski, Pim van der Harst, Marzyeh Amini, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Benjamin Lehne, M. Waldenberger, Jeffrey R. O'Connell, Hugues Aschard, Ilaria Gandin, Kent D. Taylor, Igor Rudan, Christopher P. Nelson, John M. C. Connell, Jian'an Luan, Mickaël Canouil, Robert A. Scott, Yize Li, Marguerite R. Irvin, Sung, Yun Ju, de Las Fuentes, Lisa, Winkler, Thomas W, Chasman, Daniel I, Bentley, Amy R, Kraja, Aldi T, Ntalla, Ioanna, Warren, Helen R, Guo, Xiuqing, Schwander, Karen, Manning, Alisa K, Brown, Michael R, Aschard, Hugue, Feitosa, Mary F, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Kilpeläinen, Tuomas O, Richard, Melissa A, Aslibekyan, Stella, Bartz, Traci M, Dorajoo, Rajkumar, Li, Changwei, Liu, Yongmei, Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M, Tayo, Bamidele O, Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kammerer, Candace M, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Mckenzie, Colin A, Nelson, Christopher P, Noordam, Raymond, Scott, Robert A, Sheu, Wayne H H, Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J, Varga, Tibor V, Waken, Robert J, Wang, Heming, Wang, Yajuan, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan E, Aung, Tin, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Braund, Peter S, Brody, Jennifer A, Broeckel, Ulrich, Cade, Brian, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Cocca, Massimiliano, Collins, Francis S, Connell, John M, de Mutsert, Renée, de Silva, H Janaka, Dörr, Marcu, Duan, Qing, Eaton, Charles B, Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D, Forouhi, Nita G, Franco, Oscar H, Friedlander, Yechiel, Gao, He, Gigante, Bruna, Gu, C Charle, Gupta, Preeti, Hagenaars, Saskia P, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hofman, Albert, Howard, Barbara V, Hunt, Steven C, Irvin, Marguerite R, Jia, Yucheng, Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D, Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A, Kooperberg, Charles B, Krieger, Jose E, Kubo, Michiaki, Kutalik, Zoltan, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Joseph H, Lehne, Benjamin, Levy, Daniel, Lewis, Cora E, Li, Yize, Lim, Sing Hui, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Yeheng, Loh, Marie, Lohman, Kurt K, Louie, Tin, Mägi, Reedik, Matsuda, Koichi, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Mosley, Thomas H, Nalls, Mike A, Nasri, Ubaydah, O'Connell, Jeff R, Ogunniyi, Adesola, Palmas, Walter R, Palmer, Nicholette D, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Porteous, David, Raitakari, Olli T, Renström, Frida, Rice, Treva K, Ridker, Paul M, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L, Sandow, Kevin, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Sims, Mario, Sitlani, Colleen M, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Wilson, Gregory, Wojczynski, Mary K, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Chen, Yii-Der Ida, Weir, David R, de Faire, Ulf, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost Bruno, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K E, Oldehinkel, Albertine J, Pereira, Alexandre C, Perls, Thoma, Rauramaa, Rainer, Redline, Susan, Rettig, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Wickremasinghe, Ananda R, Wu, Tangchun, Kamatani, Yoichiro, Laurie, Cathy C, Bouchard, Claude, Cooper, Richard S, Evans, Michele K, Gudnason, Vilmundur, Hixson, Jame, Kardia, Sharon L R, Kritchevsky, Stephen B, Psaty, Bruce M, van Dam, Rob M, Arnett, Donna K, Mook-Kanamori, Dennis O, Fornage, Myriam, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth J F, Reiner, Alex P, Rotimi, Charles N, Bierut, Laura J, Zhu, Xiaofeng, Cupples, L Adrienne, Province, Michael A, Rotter, Jerome I, Franks, Paul W, Rice, Kenneth, Elliott, Paul, Caulfield, Mark J, Gauderman, W Jame, Munroe, Patricia B, Rao, Dabeeru C, Morrison, Alanna C, Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard School of Public Health, European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), U.S. National Heart, Lung, and Blood Institute (NHLBI) (K25HL121091 to Y.J.S.), National Institutes of Health (R01HL118305), We thank anonymous reviewers for critical reading and providing constructive and insightful comments, which substantially improved the article. This project, like several other projects, was carried out as part of the CHARGE Gene–Lifestyle Interactions Working Group., Conflict of Interest statement. The authors declare no competing financial interests except for the following: B.M.P. serves on the Data and Safety Monitoring Board of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson, O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health), L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,‘Markers for Addiction’ covering the use of certain SNPs in determining the diagnosis, prognosis and treatment of addiction, P.S. has received research awards from Pfizer Inc, J.B.J. is a consultant for Mundipharma Co. (Cambridge, UK), Patent holder with Biocompatibles UK Ltd (Franham, Surrey, UK) (title: treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor, Patent number: 20120263794) and Patent application with University of Heidelberg (Heidelberg, Germany) (title: agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia, Europäische Patentanmeldung 15000771.4), P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative project, M.A.N.'s participation is supported by a consulting contract between Data Tecnica International and the National Institute on Aging, National Institutes of Health, Bethesda, MD, USA, M.A.N. also consults for Illumina Inc, the Michael J. Fox Foundation and University of California Healthcare among others, and M.J. C. is chief scientist for Genomics England, a UK government company., Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), 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), Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), University Management, Department of Medicine, University of Helsinki, HUS Abdominal Center, Endokrinologian yksikkö, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, and Medical Research Council (MRC)
Subjects: Male, Receptors, Vasopressin, multi-ancestry, Genome-wide association study, Blood Pressure, HYDROCARBON RECEPTOR AHR, 030204 cardiovascular system & hematology, Antiporters, gene-smoking interaction, 0302 clinical medicine, Polymorphism (computer science), genome-wide study, Ethnicity, OXIDATIVE STRESS, Association Studies Article, 11 Medical and Health Sciences, Genetics (clinical), Genetics & Heredity, Genetics, ddc:616, Aged, 80 and over, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], DEPENDENT HYPERTENSION, CARDIOVASCULAR RISK, Smoking, 1184 Genetics, developmental biology, physiology, General Medicine, ASSOCIATION, Middle Aged, Caspase 9, 3. Good health, Pulse pressure, ENVIRONMENT INTERACTION, Sulfate Transporters, T-CADHERIN, Hypertension, Female, Life Sciences & Biomedicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Biochemistry & Molecular Biology, Mean arterial pressure, Adolescent, Diastole, Biology, elevated blood pressure, gene-smoking interactions, 03 medical and health sciences, Young Adult, Insulin resistance, Lifelines Cohort Study, medicine, Humans, Arterial Pressure, Molecular Biology, METAANALYSIS, 030304 developmental biology, Aged, Science & Technology, Polymorphism, Genetic, Tumor Suppressor Proteins, Racial Groups, Membrane Proteins, 06 Biological Sciences, SYSTOLIC BLOOD-PRESSURE, BODY-MASS INDEX, medicine.disease, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Heart failure, 1182 Biochemistry, cell and molecular biology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Gene-Environment Interaction, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Genome-Wide Association Study
Abstract: Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene–smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene–smoking interaction analysis and 38 were newly identified (P
Published: 2019

17. Multi-ancestry analysis of gene-sleep interactions in 126,926 individuals identifies multiple novel blood lipid loci that contribute to our understanding of sleep-associated adverse blood lipid profile

Author: Patricia A. Peyser, Yuri Milaneschi, Marjan Ilkov, Xiuqing Guo, Brian E. Cade, Tamar Sofer, Hugues Aschard, Kent D. Taylor, Vilmundur Gudnason, Vincent Laville, Eric Boerwinkle, Thomas W. Winkler, Thomas Meitinger, Amy R. Bentley, Lynne E. Wagenknecht, Susan Redline, Jingmin Liu, Meian He, Till Roenneberg, Christian Gieger, Diana van Heemst, Nienke R. Biermasz, Stephen B. Kritchevsky, Henry Völzke, Georg Homuth, Pedro Marques-Vidal, Ashley van der Spek, Tanika N. Kelly, José Haba-Rubio, Heming Wang, Maxime M. Bos, Brigitte Kühnel, Han Chen, Peter Vollenweider, Jonathan Marten, Ruth J. F. Loos, Correa Adolfo, Raymond Noordam, Olli T. Raitakari, W. James Gauderman, Minjung Kho, Michele K. Evans, Tamara B. Harris, Robert B. Wallance, Rainer Rauramaa, Maria E. Graff, José Eduardo Krieger, Alexandre C. Pereira, Konstantin Strauch, Jerome I. Rotter, Ervin F. Fox, Mary F. Feitosa, Nora Franceschini, Hans J. Grabe, Kurt Lohman, Mario Sims, Caizheng Yu, Melissa A. Richard, Paul Elliott, Zhe Wang, Stephen Sidney, Alan B. Zonderman, Alexander P. Reiner, Daniel J. Gottlieb, M. A. Province, Pamela J. Schreiner, Stefan Weiss, Raphael Heinzer, Brenda W.J.H. Penninx, Diane M. Becker, Tangchun Wu, Tõnu Esko, Lisa W. Martin, Changwei Li, Wei Zheng, Evangelos Evangelou, Jeffrey R. O'Connell, Patrick C.N. Rensen, Claude Bouchard, James E. Hixson, Elise Lim, Morris A. Swertz, Michael R. Brown, Annette Peters, Sami Heikkinen, Jiwon Lee, Tuomo Rankinen, Timo A. Lakka, Ilja M. Nolte, Stephen S. Rich, Yun Ju Sung, Terho Lehtimäki, André G. Uitterlinden, Cornelia M. van Duijn, Stella Aslibekyan, Ko Willems van Dijk, Alisa K. Manning, Bruce M. Psaty, Kari E. North, Salman M. Tajuddin, Myriam Fornage, Christie M. Ballantyne, Dina Vojinovic, Pirjo Komulainen, Andres Metspalu, Najaf Amin, Traci M. Bartz, Mike A. Nalls, Maris Alver, Dennis O. Mook-Kanamori, Lisa R. Yanek, James M. Shikany, Yong-Bing Xiang, L.F. Bielak, Charles N. Rotimi, Treva Rice, Xiaofeng Zhu, Sharon L.R. Kardia, Yongmei Liu, L. Adrienne Cupples, Kenneth Rice, Donna K. Arnett, Annemarie I. Luik, Niki Dimou, Nicholette D. Palmer, Charles Kooperberg, M. Arfan Ikram, Lisa de las Fuentes, Harold Snieder, Leo-Pekka Lyytikäinen, Chuan Gao, Xiao-Ou Shu, Tuomas O. Kilpeläinen, Ching-Ti Liu, Alanna C. Morrison, Gudny Eiriksdottir, Colleen M. Sitlani, Melanie Waldenberger, Aldi T. Kraja, Paul S. de Vries, Andrea R. V. R. Horimoto, Sina A. Gharib, Karen Schwander, Dabeeru C. Rao, Wanqing Wen, Reedik Mägi, Solomon K. Musani, and Patricia B. Munroe
Subjects: Genetics, 0303 health sciences, medicine.diagnostic_test, Triglyceride, PCSK9, Blood lipids, Biology, Explained variation, Sleep in non-human animals, Biological pathway, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, chemistry, medicine, lipids (amino acids, peptides, and proteins), Lipid profile, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To provide new insights in the biology of sleep-associated adverse lipid profile, we conducted multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identified 49 novel lipid loci, and 10 additional novel lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identified new gene-sleep interactions for known lipid loci such asLPLandPCSK9. The novel gene-sleep interactions had a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explained 4.25% of the variance in triglyceride concentration. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles.
Published: 2019
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18. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Michael R. Brown, Christian Gieger, André G. Uitterlinden, Diana van Heemst, Alison D. Murray, Stephen B. Kritchevsky, Timo A. Lakka, Karen Schwander, Federica Laguzzi, Stephen S. Rich, Rajkumar Dorajoo, Yun Ju Sung, Xiaofeng Zhu, Hugues Aschard, Jing Hua Zhao, Gregory P. Wilson, Kenneth Rice, Barbara Sternfeld, Kent D. Taylor, Paul Elliott, Ei-Ei Khaing Nang, Ilja M. Nolte, Heather M. Stringham, Bruce M. Psaty, Heming Wang, Tangchun Wu, Caroline Hayward, Vilmundur Gudnason, Fernando Pires Hartwig, Paolo Gasparini, Jingjing Liang, Neil Risch, Albertine J. Oldehinkel, Ani Manichaikul, Tibor V. Varga, Michael Y. Tsai, Niek Verweij, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Xiuqing Guo, Traci M. Bartz, Nicholette D. Palmer, Woon-Puay Koh, Rozenn N. Lemaitre, Caizheng Yu, Mike A. Nalls, Mariaelisa Graff, Eric Boerwinkle, Dabeeru C. Rao, Thomas Meitinger, Virginia Fisher, Mario Sims, Charles Kooperberg, Carl D. Langefeld, Jaakko Tuomilehto, Reedik Mägi, Wei Zhao, Wanqing Wen, Donna K. Arnett, Ervin R. Fox, Lynda M. Rose, Maris Alver, Ayse Demirkan, Solomon K. Musani, Dennis O. Mook-Kanamori, Andres Metspalu, Jerome I. Rotter, Barry I. Freedman, Jiang He, Hermina Jakupović, Steven C. Hunt, Marco Brumat, Maria Pina Concas, Rob M. van Dam, Rico Rueedi, Jonathan Marten, Chi Charles Gu, Tõnu Esko, Peter Vollenweider, Zoltán Kutalik, Olli T. Raitakari, Ya X. Wang, Yong-Bing Xiang, Pamela J. Schreiner, Antonietta Robino, Tanika N. Kelly, Igor Rudan, Mathilde Boissel, Claudia Langenberg, Yii-Der Ida Chen, Anne U. Jackson, Lawrence F. Bielak, Brenda W.J.H. Penninx, Brigitte Kühnel, Christopher P. Nelson, Konstantin Strauch, Albert V. Smith, Daniel I. Chasman, Jasmin Divers, Lisa R. Yanek, M. Arfan Ikram, Melissa A. Richard, Nilesh J. Samani, Lisa de las Fuentes, H. Janaka de Silva, Jana V. van Vliet-Ostaptchouk, Yongmei Liu, Peter J. van der Most, Fang-Chi Hsu, Jeffrey R. O'Connell, Alexandre C. Pereira, Raymond Noordam, Changwei Li, Jie Yao, Trudy Voortman, Zhe Wang, Thomas H. Mosley, Diane M. Becker, Charles N. Rotimi, Sami Heikkinen, Archie Campbell, John M. C. Connell, Lenore J. Launer, Hua Tang, Rainer Rauramaa, Ruth J. F. Loos, Pirjo Komulainen, Amy R. Bentley, Patrik Wennberg, Chew-Kiat Heng, Kari E. North, Salman M. Tajuddin, Renée de Mutsert, David J. Porteous, Susan Redline, Sarah E. Harris, Tamara B. Harris, Raha Pazoki, Mickaël Canouil, Robert A. Scott, Jingzhong Ding, Mary F. Feitosa, Jost B. Jonas, José Eduardo Krieger, John M. Starr, Karin Leander, Jennifer A. Smith, Paul W. Franks, Charles B. Eaton, Sharon L.R. Kardia, E. Shyong Tai, Jill M. Norris, Annette Peters, Chiamaka Vivian Nwuba, Jianjun Liu, Stella Aslibekyan, Nora Franceschini, Kurt Lohman, Myriam Fornage, Dina Vojinovic, Erin B. Ware, Xiaoyin Li, Najaf Amin, Johanna Kuusisto, M. Yldau van der Ende, Cora E. Lewis, Lynne E. Wagenknecht, Jennifer G. Robinson, Franco Giulianini, Ulf de Faire, Yechiel Friedlander, Nicholas J. Wareham, Meian He, George J. Papanicolau, Nancy L. Pedersen, Bernardo L. Horta, Karen L. Mohlke, Kelley Pettee Gabriel, Minjung Kho, Michele K. Evans, Ozren Polasek, Markku Laakso, Tuomas O. Kilpeläinen, Ching-Ti Liu, Michael Boehnke, Jin-Fang Chai, Ioanna Ntalla, Cornelia M. van Duijn, L. Adrienne Cupples, Yuri Milaneschi, Stephen Sidney, Alan B. Zonderman, Leo-Pekka Lyytikäinen, Mohsen Ghanbari, Harold Snieder, Donald W. Bowden, Aldi T. Kraja, Alaitz Poveda, Terho Lehtimäki, Paul S. de Vries, Dongfeng Gu, Sotoodehnia Nona, Thomas W. Winkler, Muhammad Riaz, Ian J. Deary, Fumihiko Takeuchi, Pim van der Harst, Alisa K. Manning, Michael A. Province, Andrea R. V. R. Horimoto, David R. Weir, Wei Zheng, Alanna C. Morrison, Marzyeh Amini, Jian-Min Yuan, W. James Gauderman, Paul M. Ridker, Melanie Waldenberger, Chuan Gao, Xiao-Ou Shu, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, Tamar Sofer, Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, UK DRI Ltd, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, APH - Digital Health, IT University of Copenhagen, Icahn School of Medicine at Mount Sinai [New York] (MSSM), National Institutes of Health [Bethesda] (NIH), Leiden University Medical Center (LUMC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), University of Regensburg, Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), Massachusetts General Hospital [Boston], Queen Mary University of London (QMUL), Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), University of Washington [Seattle], The present work was largely supported by a grant from the US National Heart, Lung,and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305)., Kilpeläinen, Tuomas O., Bentley, Amy R., Noordam, Raymond, Sung, Yun Ju, Schwander, Karen, Winkler, Thomas W., Jakupović, Hermina, Chasman, Daniel I., Manning, Alisa, Ntalla, Ioanna, Aschard, Hugue, Brown, Michael R., de las Fuentes, Lisa, Franceschini, Nora, Guo, Xiuqing, Vojinovic, Dina, Aslibekyan, Stella, Feitosa, Mary F., Kho, Minjung, Musani, Solomon K., Richard, Melissa, Wang, Heming, Wang, Zhe, Bartz, Traci M., Bielak, Lawrence F., Campbell, Archie, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Li, Changwei, Lohman, Kurt K., Marten, Jonathan, Sim, Xueling, Smith, Albert V., Tajuddin, Salman M., Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelo, Gao, Chuan, Graff, Mariaelisa, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Zhao, Jing Hua, Kraja, Aldi T., Kühnel, Brigitte, Laguzzi, Federica, Lyytikäinen, Leo-Pekka, Nolte, Ilja M., Rauramaa, Rainer, Riaz, Muhammad, Robino, Antonietta, Rueedi, Rico, Stringham, Heather M., Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Verweij, Niek, Ware, Erin B., Wen, Wanqing, Li, Xiaoyin, Yanek, Lisa R., Amin, Najaf, Arnett, Donna K., Boerwinkle, Eric, Brumat, Marco, Cade, Brian, Canouil, Mickaël, Chen, Yii-Der Ida, Concas, Maria Pina, Connell, John, de Mutsert, Renée, de Silva, H. Janaka, de Vries, Paul S., Demirkan, Ayşe, Ding, Jingzhong, Eaton, Charles B., Faul, Jessica D., Friedlander, Yechiel, Gabriel, Kelley P., Ghanbari, Mohsen, Giulianini, Franco, Gu, Chi Charle, Gu, Dongfeng, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hunt, Steven C., Ikram, M. Arfan, Jonas, Jost B., Koh, Woon-Puay, Komulainen, Pirjo, Krieger, Jose E., Kritchevsky, Stephen B., Kutalik, Zoltán, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Leander, Karin, Lemaitre, Rozenn N., Lewis, Cora E., Liang, Jingjing, Alizadeh, Behrooz Z., Boezen, H. Marike, Franke, Lude, Navis, Gerjan, Rots, Marianne, Swertz, Morri, Wolffenbuttel, Bruce H. R., Wijmenga, Cisca, Liu, Jianjun, Mägi, Reedik, Manichaikul, Ani, Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Mohlke, Karen L., Mosley, Thomas H., Murray, Alison D., Nalls, Mike A., Nang, Ei-Ei Khaing, Nelson, Christopher P., Nona, Sotoodehnia, Norris, Jill M., Nwuba, Chiamaka Vivian, O’Connell, Jeff, Palmer, Nicholette D., Papanicolau, George J., Pazoki, Raha, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Porteous, David J., Poveda, Alaitz, Raitakari, Olli T., Rich, Stephen S., Risch, Neil, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Schreiner, Pamela J., Scott, Robert A., Sidney, Stephen S., Sims, Mario, Smith, Jennifer A., Snieder, Harold, Sofer, Tamar, Starr, John M., Sternfeld, Barbara, Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Tsai, Michael Y., Tuomilehto, Jaakko, Uitterlinden, André G., van der Ende, M. Yldau, van Heemst, Diana, Voortman, Trudy, Waldenberger, Melanie, Wennberg, Patrik, Wilson, Gregory, Xiang, Yong-Bing, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., de Faire, Ulf, Deary, Ian J., Elliott, Paul, Esko, Tõnu, Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Kato, Norihiro, Laakso, Markku, Lakka, Timo A., Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Samani, Nilesh J., Shu, Xiao-Ou, van der Harst, Pim, Van Vliet-Ostaptchouk, Jana V., Vollenweider, Peter, Wagenknecht, Lynne E., Wang, Ya X., Wareham, Nicholas J., Weir, David R., Wu, Tangchun, Zheng, Wei, Zhu, Xiaofeng, Evans, Michele K., Franks, Paul W., Gudnason, Vilmundur, Hayward, Caroline, Horta, Bernardo L., Kelly, Tanika N., Liu, Yongmei, North, Kari E., Pereira, Alexandre C., Ridker, Paul M., Tai, E. Shyong, van Dam, Rob M., Fox, Ervin R., Kardia, Sharon L. R., Liu, Ching-Ti, Mook-Kanamori, Dennis O., Province, Michael A., Redline, Susan, van Duijn, Cornelia M., Rotter, Jerome I., Kooperberg, Charles B., Gauderman, W. Jame, Psaty, Bruce M., Rice, Kenneth, Munroe, Patricia B., Fornage, Myriam, Cupples, L. Adrienne, Rotimi, Charles N., Morrison, Alanna C., Rao, Dabeeru C., Loos, Ruth J. F., Bentley, Amy R [0000-0002-0827-9101], Jakupović, Hermina [0000-0001-9667-9406], Manning, Alisa [0000-0003-0247-902X], Aschard, Hugues [0000-0003-0907-2548], de Las Fuentes, Lisa [0000-0002-4689-325X], Richard, Melissa [0000-0003-0129-9860], Liu, Ching-Ti [0000-0002-0703-0742], Rice, Kenneth [0000-0002-3071-7278], Munroe, Patricia B [0000-0002-4176-2947], Loos, Ruth JF [0000-0002-8532-5087], Apollo - University of Cambridge Repository, Epidemiology, Radiology & Nuclear Medicine, Erasmus MC other, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, IT University of Copenhagen (ITU), Universiteit Leiden, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Life Course Epidemiology (LCE), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Lifestyle Medicine (LM), Groningen Kidney Center (GKC), Value, Affordability and Sustainability (VALUE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), Restoring Organ Function by Means of Regenerative Medicine (REGENERATE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Lifelines Cohort Study, Alizadeh, B.Z., Boezen, H.M., Franke, L., Navis, G., Rots, M., Swertz, M., Wolffenbuttel, BHR, and Wijmenga, C.
Subjects: Genetics and Molecular Biology (all), Male, Genome-wide association study, 02 engineering and technology, Biochemistry, MESH: Genotype, MESH: Nerve Tissue Proteins, lcsh:Science, MESH: Lipid Metabolism, Aged, 80 and over, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, MESH: Asian Continental Ancestry Group, Kólesteról, Hispanic or Latino, MESH: Transcription Factors, MESH: European Continental Ancestry Group, Lipids, ddc, 3. Good health, REVEAL, Cholesterol, MESH: Young Adult, Science & Technology - Other Topics, MESH: Membrane Proteins, MESH: Cholesterol, HDL, Hispanic Americans, 0210 nano-technology, Erfðarannsóknir, MESH: Cholesterol, LDL, MESH: Triglycerides, Genotype, Genetic Loci, Lipid Metabolism, Science, European Continental Ancestry Group, LIM-Homeodomain Proteins, Locus (genetics), EXERCISE, Adolescent, Adult, African Continental Ancestry Group/genetics, Aged, Asian Continental Ancestry Group/genetics, Brazil, Calcium-Binding Proteins/genetics, Cholesterol/blood, Cholesterol, HDL/blood, Cholesterol, HDL/genetics, Cholesterol, LDL/blood, Cholesterol, LDL/genetics, European Continental Ancestry Group/genetics, Exercise, Female, Genetic Loci/genetics, Genome-Wide Association Study, Hispanic Americans/genetics, Humans, LIM-Homeodomain Proteins/genetics, Lipid Metabolism/genetics, Lipids/blood, Lipids/genetics, Membrane Proteins/genetics, Microtubule-Associated Proteins/genetics, Middle Aged, Muscle Proteins/genetics, Nerve Tissue Proteins/genetics, Transcription Factors/genetics, Triglycerides/blood, Triglycerides/genetics, Young Adult, General Biochemistry, Genetics and Molecular Biology, Article, White People, CARBOXYLASE, 03 medical and health sciences, Physics and Astronomy (all), MESH: Muscle Proteins, Asian People, Lifelines Cohort Study, SNP, METAANALYSIS, Ancestry, MESH: Adolescent, Biochemistry, Genetics and Molecular Biology (all), MESH: Humans, Science & Technology, Calcium-Binding Proteins, MESH: Adult, MESH: Microtubule-Associated Proteins, 030104 developmental biology, chemistry, MESH: Genome-Wide Association Study, lcsh:Q, MESH: African Continental Ancestry Group, Chemistry (all), [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Brazil, MESH: Female, Transcription Factors, 0301 basic medicine, General Physics and Astronomy, Blood lipids, Muscle Proteins, MESH: Calcium-Binding Proteins, chemistry.chemical_compound, MESH: Aged, 80 and over, MESH: Cholesterol, WIDE ASSOCIATION, African Continental Ancestry Group, Genetics, MESH: Aged, Multidisciplinary, Public Health, Global Health, Social Medicine and Epidemiology, 021001 nanoscience & nanotechnology, Multidisciplinary Sciences, lipids (amino acids, peptides, and proteins), Medical Genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Microtubule-Associated Proteins, Asian Continental Ancestry Group, Black People, Nerve Tissue Proteins, Biology, MESH: Genetic Loci, MD Multidisciplinary, Triglycerides, Medicinsk genetik, MESH: LIM-Homeodomain Proteins, Triglyceride, MESH: Hispanic Americans, Cholesterol, HDL, Genome-wide analyses, Membrane Proteins, Lipid metabolism, General Chemistry, Cholesterol, LDL, Arfgengi, MESH: Lipids, MESH: Male, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, INDIVIDUALS, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, MESH: Exercise, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
Abstract: Publisher's version (útgefin grein), Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels., The present work was largely supported by a grant from the US National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (R01HL118305). The full list of acknowledgments appears in the Supplementary Notes 3 and 4.
Published: 2018

19. Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study

Author: W. James Gauderman, Juan Pablo Lewinger, David V. Conti, John Morrison, and Pingye Zhang
Subjects: 0301 basic medicine, Genetics, Epidemiology, Locus (genetics), Single-nucleotide polymorphism, Genome-wide association study, Computational biology, Quantitative trait locus, Biology, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Genotype, SNP, 030212 general & internal medicine, Gene–environment interaction, Gene, Genetics (clinical)
Abstract: A genome-wide association study (GWAS) typically is focused on detecting marginal genetic effects. However, many complex traits are likely to be the result of the interplay of genes and environmental factors. These SNPs may have a weak marginal effect and thus unlikely to be detected from a scan of marginal effects, but may be detectable in a gene-environment (G × E) interaction analysis. However, a genome-wide interaction scan (GWIS) using a standard test of G × E interaction is known to have low power, particularly when one corrects for testing multiple SNPs. Two 2-step methods for GWIS have been previously proposed, aimed at improving efficiency by prioritizing SNPs most likely to be involved in a G × E interaction using a screening step. For a quantitative trait, these include a method that screens on marginal effects [Kooperberg and Leblanc, 2008] and a method that screens on variance heterogeneity by genotype [Pare et al., 2010] In this paper, we show that the Pare et al. approach has an inflated false-positive rate in the presence of an environmental marginal effect, and we propose an alternative that remains valid. We also propose a novel 2-step approach that combines the two screening approaches, and provide simulations demonstrating that the new method can outperform other GWIS approaches. Application of this method to a G × Hispanic-ethnicity scan for childhood lung function reveals a SNP near the MARCO locus that was not identified by previous marginal-effect scans.
Published: 2016

20. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group

Author: Sharon L.R. Kardia, Jennifer E. Huffman, Melissa A. Richard, Hugues Aschard, Michael R. Brown, Tuomo Rankinen, Yun Ju Sung, Bruce M. Psaty, Igor Rudan, Ruth J. F. Loos, W. James Gauderman, Tamuno Alfred, Sandosh Padmanabhan, Oscar H. Franco, Yongmei Liu, Karen Schwander, Xiaofeng Zhu, Jennifer A. Smith, Aldi T. Kraja, Blair H. Smith, Jingzhong Ding, Paul M. Ridker, Xiuqing Guo, Lawrence F. Bielak, L. Adrienne Cupples, Myriam Fornage, Tamara B. Harris, Dina Vojinovic, Virginia Fisher, Alisa K. Manning, Kenneth Rice, Donna K. Arnett, Vilmundur Gudnason, Treva Rice, Najaf Amin, Eric Boerwinkle, Michael A. Province, Dabeeru C. Rao, Ingrid B. Borecki, Alanna C. Morrison, Ozren Polasek, Traci M. Bartz, Daniel I. Chasman, Yanhua Zhou, Claude Bouchard, Walter Palmas, Cornelia M. van Duijn, Caroline Hayward, Jerome I. Rotter, Thomas W. Winkler, Kurt Lohman, Erwin P. Bottinger, Xuan Deng, Li-An Lin, Mary F. Feitosa, Lynda M. Rose, Jonathan Marten, and Albert V. Smith
Subjects: 0301 basic medicine, Genetics, education.field_of_study, Epidemiology, Population, Regression analysis, Genome-wide association study, Biology, Genetic architecture, Minor allele frequency, 03 medical and health sciences, 030104 developmental biology, Sample size determination, Meta-analysis, Statistics, education, Allele frequency, Genetics (clinical)
Abstract: Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the “joint” framework). The alternative “stratified” framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.
Published: 2016

21. Gene co-expression networks in whole blood implicate multiple interrelated molecular pathways in obese asthma

Author: Andrew H. Liu, Benjamin A. Raby, Fernando D. Martinez, Damien C. Croteau-Chonka, Scott T. Weiss, Stephanie J. London, Joshua Millstein, Edward T. Naureckas, Kathleen C. Barnes, Juan C. Celedón, W. James Gauderman, Albino Barraza-Villarreal, Dan L. Nicolae, Zhanghua Chen, Jerry A. Krishnan, Frank D. Gilliland, Carole Ober, and Steven R. White
Subjects: Adult, Male, Gene Expression, Genomics, Disease, Biology, Bioinformatics, Article, Biological pathway, Cohort Studies, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Gene expression, medicine, Humans, Obesity, Child, Gene, 030304 developmental biology, Asthma, Whole blood, 0303 health sciences, medicine.disease, 030228 respiratory system, Child, Preschool, Immunology, Female
Abstract: BackgroundAsthmatic children who develop obesity have poorer outcomes compared to those that do not, including poorer control, more severe symptoms, and greater resistance to standard treatment. Gene expression networks are powerful statistical tools for characterizing the underpinnings of human disease that leverage the putative co-regulatory relationships of genes to infer biological pathways altered in disease states.ObjectiveThe aim of this study was to characterize the biology of childhood asthma complicated by adult obesity.MethodsWe performed weighted gene co-expression network analysis (WGCNA) of gene expression data in whole blood from 514 adult subjects from the Childhood Asthma Management Program (CAMP). We then performed module preservation and association replication analyses in 418 subjects from two independent asthma cohorts (one pediatric and one adult).ResultsWe identified a multivariate model in which four gene co-expression network modules were associated with incident obesity in CAMP (eachP< 0.05). The module memberships were enriched for genes in pathways related to platelets, integrins, extracellular matrix, smooth muscle, NF-κB signaling, and Hedgehog signaling. The network structures of each of the four obese asthma modules were significantly preserved in both replication cohorts (permutationP= 9.999E-05). The corresponding module gene sets were significantly enriched for differential expression in obese subjects in both replication cohorts (eachP< 0.05).ConclusionsOur gene co-expression network profiles thus implicate multiple interrelated pathways in the biology of an important endotype of obese asthma.Key MessagesWe hypothesized that individuals with asthma complicated by obesity had distinct blood gene expression signatures.Gene co-expression network analysis implicated several inflammatory biological pathways in one form of obese asthma.Capsule SummaryThis work addresses a knowledge gap about the molecular relationship between asthma and obesity, suggesting that an endotype of obese asthma, known as asthma complicated by obesity, is underpinned by coherent biological mechanisms.AbbreviationsCAMPChildhood Asthma Management ProgramWGCNAweighted gene co-expression network analysisAsthma BRIDGEAsthma BioRepository for Integrative Genomic ExplorationGACRSGenetics of Asthma in Costa Rica StudyCHSSouthern California Children’s Health StudyBMIbody mass indexBICBayes Information CriterionHUGOHuman Genome OrganisationPCprincipal componentGSEAgene set enrichment analysisIL-1interleukin-1Hh signalingHedgehog signaling
Published: 2018

22. Author Correction: Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis

Author: Johannes, Waage, Marie, Standl, John A, Curtin, Leon E, Jessen, Jonathan, Thorsen, Chao, Tian, Nathan, Schoettler, Carlos, Flores, Abdel, Abdellaoui, Tarunveer S, Ahluwalia, Alexessander C, Alves, Andre F S, Amaral, Josep M, Antó, Andreas, Arnold, Amalia, Barreto-Luis, Hansjörg, Baurecht, Catharina E M, van Beijsterveldt, Eugene R, Bleecker, Sílvia, Bonàs-Guarch, Dorret I, Boomsma, Susanne, Brix, Supinda, Bunyavanich, Esteban G, Burchard, Zhanghua, Chen, Ivan, Curjuric, Adnan, Custovic, Herman T, den Dekker, Shyamali C, Dharmage, Julia, Dmitrieva, Liesbeth, Duijts, Markus J, Ege, W James, Gauderman, Michel, Georges, Christian, Gieger, Frank, Gilliland, Raquel, Granell, Hongsheng, Gui, Torben, Hansen, Joachim, Heinrich, John, Henderson, Natalia, Hernandez-Pacheco, Patrick, Holt, Medea, Imboden, Vincent W V, Jaddoe, Marjo-Riitta, Jarvelin, Deborah L, Jarvis, Kamilla K, Jensen, Ingileif, Jónsdóttir, Michael, Kabesch, Jaakko, Kaprio, Ashish, Kumar, Young-Ae, Lee, Albert M, Levin, Xingnan, Li, Fabian, Lorenzo-Diaz, Erik, Melén, Josep M, Mercader, Deborah A, Meyers, Rachel, Myers, Dan L, Nicolae, Ellen A, Nohr, Teemu, Palviainen, Lavinia, Paternoster, Craig E, Pennell, Göran, Pershagen, Maria, Pino-Yanes, Nicole M, Probst-Hensch, Franz, Rüschendorf, Angela, Simpson, Kari, Stefansson, Jordi, Sunyer, Gardar, Sveinbjornsson, Elisabeth, Thiering, Philip J, Thompson, Maties, Torrent, David, Torrents, Joyce Y, Tung, Carol A, Wang, Stephan, Weidinger, Scott, Weiss, Gonneke, Willemsen, L Keoki, Williams, Carole, Ober, David A, Hinds, Manuel A, Ferreira, Hans, Bisgaard, David P, Strachan, and Klaus, Bønnelykke
Subjects: 0301 basic medicine, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Genome-wide association study, Human leukocyte antigen, Computational biology, Biology, Genetic pathways, Numbering, Article, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, 030228 respiratory system, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Genetics, ComputingMethodologies_COMPUTERGRAPHICS
Abstract: In the version of this article initially published, in Fig. 3, the y-axis numbering did not match the log scale indicated in the axis label. The error has been corrected in the HTML and PDF version of the article.
Published: 2018

23. Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis

Author: Eugene R. Bleecker, Carlos Flores, Gonneke Willemsen, Kamilla Kjærgaard Jensen, Herman T. den Dekker, Zhanghua Chen, W. James Gauderman, Xingnan Li, Teemu Palviainen, Christian Gieger, Franz Rüschendorf, Dan L. Nicolae, Leon Eyrich Jessen, Hans Bisgaard, Nicole Probst-Hensch, Medea Imboden, Raquel Granell, Ingileif Jonsdottir, Maria Pino-Yanes, Supinda Bunyavanich, Manuel A. R. Ferreira, Michel Georges, Vincent W. V. Jaddoe, Stephan Weidinger, Hongsheng Gui, Esteban G. Burchard, Abdel Abdellaoui, Ivan Curjuric, Johannes Waage, Torben Hansen, Deborah A. Meyers, Rachel A. Myers, Lavinia Paternoster, Ashok Kumar, Ellen A. Nohr, Kari Stefansson, L. Keoki Williams, Andreas Arnold, David P. Strachan, David Torrents, Carol A. Wang, Dorret I. Boomsma, Julia Dmitrieva, Markus J. Ege, Joyce Y. Tung, Jordi Sunyer, Elisabeth Thiering, Nathan Schoettler, Deborah Jarvis, Sílvia Bonàs-Guarch, Joachim Heinrich, Shyamali C. Dharmage, Jaakko Kaprio, Craig E. Pennell, Marie Standl, Philip J. Thompson, Patrick G. Holt, Natalia Hernandez-Pacheco, Angela Simpson, Michael Kabesch, Josep M. Mercader, Marjo-Riitta Järvelin, Andre F.S. Amaral, Tarunveer S. Ahluwalia, Fabián Lorenzo-Díaz, John A. Curtin, Gardar Sveinbjornsson, Susanne Brix, Scott T. Weiss, Chao Tian, Adnan Custovic, David A. Hinds, Amalia Barreto-Luis, John Henderson, Hansjörg Baurecht, Young-Ae Lee, Catharina E. M. van Beijsterveldt, Jonathan Thorsen, Carole Ober, Alexessander Couto Alves, Frank D. Gilliland, Albert M. Levin, Josep M. Antó, Liesbeth Duijts, Erik Melén, Maties Torrent, Klaus Bønnelykke, Göran Pershagen, Epidemiology, Erasmus MC other, Pediatrics, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Health Behaviors & Chronic Diseases
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), HAY-FEVER, Allergy, Genome-wide association study, VARIANTS, Allergic sensitization, 0302 clinical medicine, HLA Antigens, 11 Medical and Health Sciences, Genetics & Heredity, CELL DEVELOPMENT, HERITABILITY, 3. Good health, Phenotype, DISEASES, Hay fever, Life Sciences & Biomedicine, EXPRESSION, Risk, Single-nucleotide polymorphism, Human leukocyte antigen, Biology, DENDRITIC CELLS, 23andMe Research Team, 03 medical and health sciences, Nonallergic rhinitis, SDG 3 - Good Health and Well-being, Genetics, medicine, Humans, Genetic Predisposition to Disease, METAANALYSIS, Science & Technology, RECEPTOR, Genome, Human, AAGC collaborators, Genetic Variation, Allergens, 06 Biological Sciences, medicine.disease, Rhinitis, Allergic, Genetic architecture, 030104 developmental biology, Genetic Loci, Case-Control Studies, Immunology, ASTHMA, 030217 neurology & neurosurgery, Genome-Wide Association Study, Developmental Biology
Abstract: Allergic rhinitis is the most common clinical presentation of allergy, affecting 400 million people worldwide, with increasing incidence in westernized countries1,2. To elucidate the genetic architecture and understand the underlying disease mechanisms, we carried out a meta-analysis of allergic rhinitis in 59,762 cases and 152,358 controls of European ancestry and identified a total of 41 risk loci for allergic rhinitis, including 20 loci not previously associated with allergic rhinitis, which were confirmed in a replication phase of 60,720 cases and 618,527 controls. Functional annotation implicated genes involved in various immune pathways, and fine mapping of the HLA region suggested amino acid variants important for antigen binding. We further performed genome-wide association study (GWAS) analyses of allergic sensitization against inhalant allergens and nonallergic rhinitis, which suggested shared genetic mechanisms across rhinitis-related traits. Future studies of the identified loci and genes might identify novel targets for treatment and prevention of allergic rhinitis. An Author Correction to this article was published on 16 August 2018. https://www.nature.com/articles/s41588-018-0197-6
Published: 2018

24. Genetic-Epigenetic Interactions in Asthma Revealed by a Genome-Wide Gene-Centric Search

Author: Stephanie J. London, Benjamin A. Raby, W. James Gauderman, Vladimir Kogan, Albino Barraza-Villarreal, Carole Ober, Edward T. Naureckas, Steven R. White, Isabelle Romieu, Daniel J. Jackson, Carrie V. Breton, and Joshua Millstein
Subjects: 0301 basic medicine, False discovery rate, Adult, Male, Adolescent, Single-nucleotide polymorphism, Biology, Genome, Polymorphism, Single Nucleotide, Article, Epigenesis, Genetic, 03 medical and health sciences, Young Adult, Genetics, medicine, Humans, Computer Simulation, Genetic Predisposition to Disease, Epigenetics, Child, Gene, Genetics (clinical), Asthma, Genome, Human, Infant, Newborn, Infant, Epistasis, Genetic, DNA Methylation, Middle Aged, medicine.disease, 030104 developmental biology, CpG site, Child, Preschool, DNA methylation, CpG Islands, Female, Genome-Wide Association Study
Abstract: Objectives: There is evidence to suggest that asthma pathogenesis is affected by both genetic and epigenetic variation independently, and there is some evidence to suggest that genetic-epigenetic interactions affect risk of asthma. However, little research has been done to identify such interactions on a genome-wide scale. The aim of this studies was to identify genes with genetic-epigenetic interactions associated with asthma. Methods: Using asthma case-control data, we applied a novel nonparametric gene-centric approach to test for interactions between multiple SNPs and CpG sites simultaneously in the vicinities of 18,178 genes across the genome. Results: Twelve genes, PF4, ATF3, TPRA1, HOPX, SCARNA18, STC1, OR10K1, UPK1B, LOC101928523, LHX6, CHMP4B, and LANCL1, exhibited statistically significant SNP-CpG interactions (false discovery rate = 0.05). Of these, three have previously been implicated in asthma risk (PF4, ATF3, and TPRA1). Follow-up analysis revealed statistically significant pairwise SNP-CpG interactions for several of these genes, including SCARNA18, LHX6, and LOC101928523 (p = 1.33E–04, 8.21E–04, 1.11E–03, respectively). Conclusions: Joint effects of genetic and epigenetic variation may play an important role in asthma pathogenesis. Statistical methods that simultaneously account for multiple variations across chromosomal regions may be needed to detect these types of effects on a genome-wide scale.
Published: 2018

25. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Author: Patricia A. Peyser, Jessica D. Faul, Sing Hui Lim, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, W. James Gauderman, Wei Zhao, Andres Metspalu, R. Graham Barr, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Daniel I. Chasman, Jasmin Divers, Fernando Pires Hartwig, Jing Hua Zhao, Yu Caizheng, Roby Joehanes, Nora Franceschini, Nita G. Forouhi, Charumathi Sabanayagam, Paul M. Ridker, Yun J. Sung, Mary F. Feitosa, Barbara V. Howard, Vilmundur Gudnason, Jost B. Jonas, Hua Tang, Yukihide Momozawa, Michael R. Brown, Tibor V. Varga, Franco Giulianini, Francis S. Collins, Alexander P. Reiner, Ulrich Broeckel, Tuomo Rankinen, Preeti Gupta, Tin Louie, Eric Boerwinkle, Saskia P. Hagenaars, Mark J. Caulfield, Albert Hofman, Aravinda Chakravarti, Paul W. Franks, Nicole Schupf, E. Shyong Tai, Carl D. Langefeld, Carsten Oliver Schmidt, Lawrence F. Bielak, Treva Rice, Anne B. Newman, Ioanna Ntalla, Kae-Woei Liang, Nilesh J. Samani, Alena Stančáková, Thomas H. Mosley, Dan E. Arking, Kenneth Rice, Bruce M. Psaty, Jirong Long, Yechiel Friedlander, Jianjun Liu, Donna K. Arnett, Ya X. Wang, Xiuqing Guo, Anne E. Justice, Pamela J. Schreiner, Renée de Mutsert, Lisa de las Fuentes, Marcus Dörr, Amy R. Bentley, Susan Redline, Cornelia M. van Duijn, Melissa A. Richard, Sarah E. Harris, Pirjo Komulainen, Nicholette D. Palmer, Alexandre C. Pereira, Michele K. Evans, Jie Yao, Adesola Ogunniyi, Wen Bin Wei, Anuradhani Kasturiratne, Yoichiro Kamatani, Charles Kooperberg, Helen R. Warren, Shiow Lin, Ozren Polasek, Makoto Hirata, Anubha Mahajan, Yingchang Lu, Jonathan Marten, Claudia P. Cabrera, Chuan Gao, Oscar H. Franco, Yongmei Liu, Mathilde Boissel, Olli T. Raitakari, Xiao-Ou Shu, Yii-Der Ida Chen, Y Liu, Claudia Langenberg, C. Charles Gu, Cathy C. Laurie, Tamuno Alfred, L. Adrienne Cupples, Yajuan Wang, Colin A. McKenzie, Mika Kähönen, Yize Li, Xiaofeng Zhu, Nana Matoba, James Scott, Marguerite R. Irvin, Markku Laakso, Frida Renström, Woon-Puay Koh, Dabeeru C. Rao, Yucheng Jia, Paul Elliott, Tangchun Wu, Caroline Hayward, Tamara B. Harris, Alison D. Murray, Karin Leander, Reedik Mägi, Keng-Hung Lin, Harold Snieder, Laura J. Bierut, Christine Williams, Solomon K. Musani, Michael A. Province, Charles B. Eaton, Sharon L.R. Kardia, Mario Sims, Steven C. Hunt, Stephen B. Kritchevsky, Weihua Zhang, David R. Weir, Andrea R. V. R. Horimoto, Saima Afaq, Hugues Aschard, Ilaria Gandin, Michiaki Kubo, Jaspal S. Kooner, Peter S. Braund, Jeffrey R. O'Connell, Kent D. Taylor, Annette Peters, Wei Zheng, Rainer Rettig, Nicola D. Kerrison, Donald W. Bowden, Ruth J. F. Loos, Tanika N. Kelly, Dennis O. Mook-Kanamori, Terrence Forrester, Igor Rudan, Brigitte Kühnel, Christopher P. Nelson, Ching-Yu Cheng, Alanna C. Morrison, Tuomas O. Kilpeläinen, Jian-Min Yuan, Bruna Gigante, Lisa R. Yanek, Ching-Ti Liu, Ananda R. Wickremasinghe, Michael Boehnke, Tin Aung, Jin-Fang Chai, Kaare Christensen, Wen-Jane Lee, Stéphanie Debette, Jennifer A. Brody, Wayne Huey-Herng Sheu, John M. C. Connell, Ganesh Chauhan, Jian'an Luan, Melanie Waldenberger, Erin B. Ware, Paolo Gasparini, Chew-Kiat Heng, Lili Milani, Alisa K. Manning, José Eduardo Krieger, Kiang Liu, Mickaël Canouil, Robert A. Scott, Yik Ying Teo, Gregory P. Wilson, Stella Aslibekyan, Andrew P. Morris, Thomas Meitinger, Jennifer A. Smith, Yi-Jen Hung, Myriam Fornage, Dina Vojinovic, William R. Scott, Virginia Fisher, Peter S. Sever, André G. Uitterlinden, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Rajkumar Dorajoo, Georg Ehret, Heming Wang, Sandosh Padmanabhan, Jingmin Liu, Colleen M. Sitlani, Anuj Goel, Bamidele O. Tayo, Daniel Levy, Barry I. Freedman, Marie Loh, Yanhua Zhou, Charles N. Rotimi, Qing Duan, Aldi T. Kraja, He Meian, Archie Campbell, Kari E. North, Tien Yin Wong, Salman M. Tajuddin, Traci M. Bartz, Mike A. Nalls, Misa Graff, Dongfeng Gu, Sudha Seshadri, Tõnu Esko, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Fang-Chi Hsu, Chiea Chuen Khor, Changwei Li, Sami Heikkinen, Maris Alver, Karen Schwander, Wanqing Wen, Rainer Rauramaa, Lynne E. Wagenknecht, Ubaydah Nasri, Peter J. Munson, He Gao, Evangelos Evangelou, Philippe Froguel, Ervin R. Fox, Christian Gieger, Kurt Lohman, James S. Pankow, Nicholas J. Wareham, Lynda M. Rose, Massimiliano Cocca, Rob M. van Dam, John M. Starr, Martin Farrall, Stefan Weiss, Konstantin Strauch, Albert V. Smith, Jill M. Norris, Raymond Noordam, Cora E. Lewis, Claude Bouchard, Ulf de Faire, Walter Palmas, Diane M. Becker, Kevin Sandow, Tomohiro Katsuya, Jiang He, Nancy L. Pedersen, Bernardo L. Horta, Joel D. Kaufman, Terho Lehtimäki, Heikki A. Koistinen, Thomas W. Winkler, Ian J. Deary, Richard S. Cooper, Fumihiko Takeuchi, Jerome I. Rotter, Lihua Wang, Yih Chung Tham, Babatunde L. Salako, Mary K. Wojczynski, Pim van der Harst, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Patricia B. Munroe, Ehret, Georg Benedikt, Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), The various Gene-Lifestyle Interaction projects, including this one, are largely supported by a grant from the U.S. National Heart, Lung, and Blood Institute (NHLBI), the National Institutes of Health, R01HL118305. A Career Development Award (K25HL121091), also from the NHLBI, enabled Y.J.S. to lead this project. Full set of study-specific funding sources and acknowledgments appear in the Supplemental Note., Sung, Yun J., Winkler, Thomas W., de las Fuentes, Lisa, Bentley, Amy R., Brown, Michael R., Kraja, Aldi T., Schwander, Karen, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Feitosa, Mary F., Kilpeläinen, Tuomas O., Richard, Melissa A., Noordam, Raymond, Aslibekyan, Stella, Aschard, Hugue, Bartz, Traci M., Dorajoo, Rajkumar, Liu, Yongmei, Manning, Alisa K., Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M., Tayo, Bamidele O., Warren, Helen R., Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E., Hartwig, Fernando Pire, Horimoto, Andrea R. V. R., Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, ’an Luan, Jian, Mckenzie, Colin A., Meian, He, Nelson, Christopher P., Rauramaa, Rainer, Schupf, Nicole, Scott, Robert A., Sheu, Wayne H. H., Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Wang, Heming, Wang, Yajuan, Ware, Erin B., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan, Aung, Tin, Barr, R. Graham, Bielak, Lawrence F., Boerwinkle, Eric, Bottinger, Erwin P., Braund, Peter S., Brody, Jennifer A., Broeckel, Ulrich, Cabrera, Claudia P., Cade, Brian, Caizheng, Yu, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Chauhan, Ganesh, Christensen, Kaare, Cocca, Massimiliano, Collins, Francis S., Connell, John M., de Mutsert, Renée, de Silva, H. Janaka, Debette, Stephanie, Dörr, Marcu, Duan, Qing, Eaton, Charles B., Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D., Fisher, Virginia A., Forouhi, Nita G., Franco, Oscar H., Friedlander, Yechiel, Gao, He, Gigante, Bruna, Graff, Misa, Gu, C. Charle, Gu, Dongfeng, Gupta, Preeti, Hagenaars, Saskia P., Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hofman, Albert, Howard, Barbara V., Hunt, Steven, Irvin, Marguerite R., Jia, Yucheng, Joehanes, Roby, Justice, Anne E., Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D., Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A., Komulainen, Pirjo, Kooperberg, Charle, Krieger, Jose E., Kubo, Michiaki, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lim, Sing Hui, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Kiang, Liu, Yeheng, Loh, Marie, Lohman, Kurt K., Long, Jirong, Louie, Tin, Mägi, Reedik, Mahajan, Anubha, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Morris, Andrew P., Mosley, Thomas H., Munson, Peter, Murray, Alison D., Nalls, Mike A., Nasri, Ubaydah, Norris, Jill M., North, Kari, Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Palmer, Nicholette D., Pankow, James S., Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Raitakari, Olli T., Renström, Frida, Rice, Treva K., Ridker, Paul M., Robino, Antonietta, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L., Sandow, Kevin, Schmidt, Carsten O., Schreiner, Pamela J., Scott, William R., Seshadri, Sudha, Sever, Peter, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G., Waldenberger, Melanie, Wang, Lihua, Wang, Ya X., Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K., Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Chen, Yii-Der Ida, de Faire, Ulf, Deary, Ian J., Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost B., Kato, Norihiro, Kooner, Jaspal S., Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K. E., Newman, Anne B., Oldehinkel, Albertine J., Pereira, Alexandre C., Redline, Susan, Rettig, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Kamatani, Yoichiro, Laurie, Cathy C., Bouchard, Claude, Cooper, Richard S., Evans, Michele K., Gudnason, Vilmundur, Kardia, Sharon L. R., Kritchevsky, Stephen B., Levy, Daniel, O'Connell, Jeff R., Psaty, Bruce M., van Dam, Rob M., Sims, Mario, Arnett, Donna K., Mook-Kanamori, Dennis O., Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Fornage, Myriam, Rotimi, Charles N., Province, Michael A., van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Loos, Ruth J. F., Reiner, Alex P., Rotter, Jerome I., Zhu, Xiaofeng, Bierut, Laura J., Gauderman, W. Jame, Caulfield, Mark J., Elliott, Paul, Rice, Kenneth, Munroe, Patricia B., Morrison, Alanna C., Cupples, L. Adrienne, Rao, Dabeeru C., Chasman, Daniel I., Marten, Jonathan [0000-0001-6916-2014], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Epidemiology, Internal Medicine, Gastroenterology & Hepatology, Clinicum, Department of Medicine, Endokrinologian yksikkö, HUS Internal Medicine and Rehabilitation, and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, multi-ancestry, Smoking/genetics, Genome-wide association study, Continental Population Groups/genetics, INTIMA-MEDIA THICKNESS, Cohort Studies, Diastole, Polymorphism (computer science), GWAS, TRANSTORNOS RELACIONADOS AO USO DE ÁLCOOL, GENE-ENVIRONMENT INTERACTION, Genetics (clinical), ddc:616, INSULIN-RESISTANCE, Multi-ancestry, Smoking, 1184 Genetics, developmental biology, physiology, blood pressure, GxE interaction, Diastole/genetics, 3. Good health, FALSE DISCOVERY RATE, Blood pressure, Medical genetics, CORONARY-ARTERY-DISEASE, Female, Single Nucleotide/genetics, Systole/genetics, BODY-MASS INDEX, ASSOCIATION ANALYSIS, COMMON VARIANTS, METAANALYSIS, DISEASE, OBESITY, JOINT, medicine.medical_specialty, lifestyle, SUSCEPTIBILITY LOCI, Blood Pressure/genetics, Systole, Quantitative Trait Loci, Single-nucleotide polymorphism, Accounting, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, GxE interactions, Article, smoking, 03 medical and health sciences, Genetic, medicine, Genetics, Journal Article, Humans, Polymorphism, Genetic association, ALCOHOL DEPENDENCE, business.industry, Racial Groups, Reproducibility of Results, Epistasis, Genetic, ta3121, Lifestyle, Genetic architecture, NICOTINE DEPENDENCE, 030104 developmental biology, Genetic Loci, Epistasis, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, business, Quantitative Trait Loci/genetics, Genome-Wide Association Study
Abstract: The authors declare no competing financial interests except for the following. B.M.P. serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson; O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health); L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,“Markers for Addiction” covering the use of certain SNPs in determining the diagnosis, prognosis, and treatment of addiction; P.S. has received research awards from Pfizer Inc., is a consultant for Mundipharma Co. (Cambridge, UK), is a patent holder with Biocompatibles UK Ltd. (Franham, Surrey, UK) (Title: Treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor; Patent number: 20120263794), and has a patent application with University of Heidelberg (Heidelberg, Germany) (Title: Agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia; Europäische Patentanmeldung 15 000 771.4); P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project; M.A.N.’s participation is supported by a consulting contract between Data Tecnica Internation and the National Institute on Aging (NIH, Bethesda, MD, USA), and he also consults for Illumina, Inc., the Michael J. Fox Foundation, and University of California Healthcare among others; and M.J.C. is Chief Scientist for Genomics England, a UK government company.; International audience; Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined approximately 18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 x 10(-8)) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 x 10(-8)). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).
Published: 2018

26. Fraction of exhaled nitric oxide values in childhood are associated with 17q11.2-q12 and 17q12-q21 variants

Author: Erik Melén, Maties Torrent, Klaus Bønnelykke, Clare S. Murray, George Davey Smith, Oliver Fuchs, Beate St Pourcain, William O.C.M. Cookson, Gerard H. Koppelman, Johan C. de Jongste, John A. Curtin, Adnan Custovic, Carole Ober, W. James Gauderman, Albert Hofman, Marie Standl, Anna Gref, Emmanuelle Bouzigon, Hans Bisgaard, Angela Simpson, Karol Estrada, Muhammad T. Salam, Raquel Granell, Liesbeth Duijts, Miriam F. Moffatt, Rachel Nadif, Xia Li, Emma E. Thompson, Patrick M. A. Sleiman, Markus J. Ege, Hakon Hakonarson, Dirkje S. Postma, Jon Genuneit, Joachim Heinrich, John P. Kemp, Frank D. Gilliland, Ralf J. P. van der Valk, Carla M. T. Tiesler, Fernando Rivadeneira, Cornelia M. van Duijn, N J Timpson, David M. Evans, Martin K. Andersson, Wendy L. McArdle, Florence Demenais, Kiros Berhane, Vincent W. V. Jaddoe, A. J. Henderson, André G. Uitterlinden, Eskil Kreiner-Møller, Lavinia Paternoster, Alejandro Cáceres, Sandrah P. Eckel, Marjan Kerhof, H. Rob Taal, Liming Liang, Jordi Sunyer, Claudia Flexeder, Pediatrics, Epidemiology, Internal Medicine, Public Health, Erasmus MC other, and Groningen Research Institute for Asthma and COPD (GRIAC)
Subjects: Male, Linkage disequilibrium, Nitric Oxide Synthase Type II, Genome-wide association study, CHILDREN, Linkage Disequilibrium, 0302 clinical medicine, Immunology and Allergy, genetics, Child, POPULATION, Genetics, 0303 health sciences, education.field_of_study, HERITABILITY, respiratory system, 3. Good health, Neoplasm Proteins, Breath Tests, Exhalation, Child, Preschool, biomarker, Female, Airway inflammation, Risk, GENES, Adolescent, Immunology, Population, Quantitative Trait Loci, asthma phenotypes, Single-nucleotide polymorphism, PHENOTYPES, Quantitative trait locus, Biology, Nitric Oxide, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, INFLAMMATION, Humans, Airway Inflammation, Asthma Phenotypes, Biomarker, Genome-wide Association Study, GENOME-WIDE ASSOCIATION, education, Asma, 030304 developmental biology, Genetic association, Tumors, Cromosomes humans, genome-wide association study, Xaperonines, COMPLEX TRAITS, GALECTIN-9, Òxid nítric, respiratory tract diseases, 030228 respiratory system, Haplotypes, 13. Climate action, Exhaled nitric oxide, Expression quantitative trait loci, ASTHMA, Proteïnes, Biomarkers, Chromosomes, Human, Pair 17, Molecular Chaperones
Abstract: BACKGROUND: The fraction of exhaled nitric oxide (Feno) value is a biomarker of eosinophilic airway inflammation and is associated with childhood asthma. Identification of common genetic variants associated with childhood Feno values might help to define biological mechanisms related to specific asthma phenotypes. OBJECTIVE: We sought to identify the genetic variants associated with childhood Feno values and their relation with asthma. METHODS: Feno values were measured in children age 5 to 15 years. In 14 genome-wide association studies (N = 8,858), we examined the associations of approximately 2.5 million single nucleotide polymorphisms (SNPs) with Feno values. Subsequently, we assessed whether significant SNPs were expression quantitative trait loci in genome-wide expression data sets of lymphoblastoid cell lines (n = 1,830) and were related to asthma in a previously published genome-wide association data set (cases, n = 10,365; control subjects: n = 16,110). RESULTS: We identified 3 SNPs associated with Feno values: rs3751972 in LYR motif containing 9 (LYRM9; P = 1.97 × 10(-10)) and rs944722 in inducible nitric oxide synthase 2 (NOS2; P = 1.28 × 10(-9)), both of which are located at 17q11.2-q12, and rs8069176 near gasdermin B (GSDMB; P = 1.88 × 10(-8)) at 17q12-q21. We found a cis expression quantitative trait locus for the transcript soluble galactoside-binding lectin 9 (LGALS9) that is in linkage disequilibrium with rs944722. rs8069176 was associated with GSDMB and ORM1-like 3 (ORMDL3) expression. rs8069176 at 17q12-q21, but not rs3751972 and rs944722 at 17q11.2-q12, were associated with physician-diagnosed asthma. CONCLUSION: This study identified 3 variants associated with Feno values, explaining 0.95% of the variance. Identification of functional SNPs and haplotypes in these regions might provide novel insight into the regulation of Feno values. This study highlights that both shared and distinct genetic factors affect Feno values and childhood asthma. C.O. is supported by a NIH grant that supported the Hutterite studies (R01 HL085197). D.E. is supported by UK Medical Research Council Centre (G0600705). G.S. is supported by UK Medical Research Council Centre (G0600705). J.K. is funded by a Wellcome Trust 4-year PhD studentship in molecular, genetic, and life course epidemiology (WT083431MA). L.D. is supported by a European Respiratory Society/Marie Curie Joint Research Fellowship of the European Respiratory Society and the European Community’s Seventh Framework Programme FP7/2007-2013–Marie Curie Actions under grant agreement RESPIRE, PCOFUND-GA-2008-229571 (no. MC 1226- 2009). N.T. is supported by UK Medical Research Council Centre (G0600705). R.V. was partly supported by an unrestricted personal grant from GlaxoSmithKline, NL. V.J. is supported by the Netherlands Organization for Health Research and Development (ZonMw 90700303, 916.10159). L. Duijts is supported by a European Respiratory Society/Marie Curie Joint Research Fellowship of the European Respiratory Society and the European Community’s Seventh Framework Programme (FP7/2007-2013-Marie Curie Actions under grant agreement RESPIRE, PCOFUND-GA-2008-229571 [no. MC 1226-2009]). M. T. Salam has received research support from the National Heart, Lung, and Blood Institute (NHLBI; 5R01HL61768 and 5R01HL76647); the Southern California Environmental Health Sciences Center funded by the National Institute of Environmental Health Sciences (5P30ES007048); and the Environmental Protection Agency (EPA; 5P01ES009581, R826708-01, and RD831861-01), the National Institute of Environmental Health Sciences (5P01ES011627), and the Hastings Foundation. J. Genuneit has received grant EuFP6 (018996 under IP LSH-2004-1.25- 1). Evans has received a grant in the form of the MRC New Investigator Award G0600705. B. St Pourcain has received research support with Autism Speaks (7132). O. Fuchs has received research support from the European Commission within Seventh Framework Programme (theme FP7-KBBE-2007- 1) as part of EFRAIM (Impact of exogenous factors in the development of Allergy, contract no. 211911), the European Respiratory Society for a long-term research fellowship (no. 675). F. D. Gilliand has received research support from the NHLBI (5R01HL61768 and 5R01HL76647), Southern California Environmental Health Sciences Center funded by the National Institute of Environmental Health Sciences (5P30ES007048), the Children’s Environmental Health Center funded by the National Institute of Environmental Health Sciences and the Environmental Protection Agency (5P01Es009581, R826708-01, and RD831861-01), the National Institute of Environmental Health Sciences (5P01ES011627)
Published: 2014

27. NOS1 Methylation and Carotid Artery Intima-Media Thickness in Children

Author: Lora Whitfield-Maxwell, Edward L. Avol, Frank D. Gilliland, W. James Gauderman, Kim Siegmund, Carrie V. Breton, Howard N. Hodis, and Caron Park
Subjects: Male, medicine.medical_specialty, Adolescent, Bisulfite sequencing, Buccal swab, Nitric Oxide Synthase Type I, Biology, Nitric Oxide, Carotid Intima-Media Thickness, Article, Epigenesis, Genetic, Internal medicine, Genetics, medicine, Humans, Epigenetics, Child, Genetics (clinical), Epigenomics, Methylation, DNA Methylation, Atherosclerosis, Carotid Arteries, Endocrinology, Intima-media thickness, DNA methylation, Female, Cardiology and Cardiovascular Medicine, Body mass index
Abstract: Background— Nitric oxide (NO) plays an important role in cardiovascular health by maintaining and regulating vascular tone and blood flow. Epigenetic regulation of NO synthase (NOS), the genes responsible for NO production, may affect cardiovascular disease, including the development of atherosclerosis in children. Methods and Results— We measured percentage DNA methylation using bisulfite conversion and pyrosequencing assays on DNA from buccal cells provided by 377 participants of the Children’s Health Study on whom carotid artery intima-media thickness (CIMT) measurements were also collected. We examined a total of 16 CpG loci located within NOS1 , NOS2A , NOS3 , ARG1 , and ARG2 genes responsible for NO production. CIMT was measured using high-resolution B-mode carotid ultrasound. The association between percentage DNA methylation in ARG and NOS genes with CIMT was evaluated using linear regression adjusted for sex, ethnicity, body mass index, age at CIMT, town of residence, and experimental plate for pyrosequencing reactions. Differences in the association by ethnicity and ancestral group were also evaluated. For a 1% increase in average DNA methylation of NOS1 , CIMT increased by 1.2 μm ( P =0.02). This association was greater in Hispanic children of Native American descent (β=2.3; P =0.004) than in non-Hispanic whites (β=0.3; P =0.71) or Hispanic whites (β=1.0; P =0.35). Conclusions— DNA methylation of NOS1 has a plausible role in atherogenesis through regulation of NO production, although ancestry may alter the magnitude of this association.
Published: 2014

28. Finding Novel Genes by Testing G × E Interactions in a Genome-Wide Association Study

Author: Pingye Zhang, W. James Gauderman, John Morrison, and Juan Pablo Lewinger
Subjects: Genetics, education.field_of_study, Epidemiology, Population, Locus (genetics), Single-nucleotide polymorphism, Genome-wide association study, Biology, Genome, Trait, SNP, Gene–environment interaction, education, Genetics (clinical)
Abstract: In a genome-wide association study (GWAS), investigators typically focus their primary analysis on the direct (marginal) associations of each single nucleotide polymorphism (SNP) with the trait. Some SNPs that are truly associated with the trait may not be identified in this scan if they have a weak marginal effect and thus low power to be detected. However, these SNPs may be quite important in subgroups of the population defined by an environmental or personal factor, and may be detectable if such a factor is carefully considered in a gene-environment (G × E) interaction analysis. We address the question "Using a genome wide interaction scan (GWIS), can we find new genes that were not found in the primary GWAS scan?" We review commonly used approaches for conducting a GWIS in case-control studies, and propose a new two-step screening and testing method (EDG×E) that is optimized to find genes with a weak marginal effect. We simulate several scenarios in which our two-step method provides 70-80% power to detect a disease locus while a marginal scan provides less than 5% power. We also provide simulations demonstrating that the EDG×E method outperforms other GWIS approaches (including case only and previously proposed two-step methods) for finding genes with a weak marginal effect. Application of this method to a G × Sex scan for childhood asthma reveals two potentially interesting SNPs that were not identified in the marginal-association scan. We distribute a new software program (G×Escan, available at http://biostats.usc.edu/software) that implements this new method as well as several other GWIS approaches.
Published: 2013

29. Efficient Two-Step Testing of Gene-Gene Interactions in Genome-Wide Association Studies

Author: Dalin Li, Duncan C. Thomas, David V. Conti, Juan Pablo Lewinger, Cassandra E. Murcray, John Morrison, and W. James Gauderman
Subjects: Genetics, Epidemiology, Missing heritability problem, Two step, SNP, Epistasis, Single-nucleotide polymorphism, Genome-wide association study, Computational biology, Biology, Gene, Genetics (clinical)
Abstract: Exhaustive testing of all possible SNP pairs in a genome-wide association study (GWAS) generally yields low power to detect gene-gene (G × G) interactions because of small effect sizes and stringent requirements for multiple-testing correction. We introduce a new two-step procedure for testing G × G interactions in case-control GWAS to detect interacting single nucleotide polymorphisms (SNPs) regardless of their marginal effects. In an initial screening step, all SNP pairs are tested for gene-gene association in the combined sample of cases and controls. In the second step, the pairs that pass the screening are followed up with a traditional test for G × G interaction. We show that the two-step method is substantially more powerful to detect G × G interactions than the exhaustive testing approach. For example, with 2,000 cases and 2,000 controls, the two-step method can have more than 90% power to detect an interaction odds ratio of 2.0 compared to less than 50% power for the exhaustive testing approach. Moreover, we show that a hybrid two-step approach that combines our newly proposed two-step test and the two-step test that screens for marginal effects retains the best power properties of both. The two-step procedures we introduce have the potential to uncover genetic signals that have not been previously identified in an initial single-SNP GWAS. We demonstrate the computational feasibility of the two-step G × G procedure by performing a G × G scan in the asthma GWAS of the University of Southern California Children's Health Study.
Published: 2013

30. A meta-analysis of genome-wide association studies for serum total IgE in diverse study populations

Author: Fernando D. Martinez, Elizabeth A. Nguyen, Lindsey A. Roth, Allan B. Becker, W. James Gauderman, Carole Ober, Julie E. Park, Isabelle Romieu, Karla Zoratti, Celeste Eng, Joshua Galanter, L. Keoki Williams, Esteban G. Burchard, Pui-Yan Kwok, Dara G. Torgerson, Dan L. Nicolae, Eugene R. Bleecker, Christopher R. Gignoux, Scott T. Weiss, Frank D. Gilliland, Anita L. Kozyrskyj, Rachel A. Myers, Scott Huntsman, Albert M. Levin, Moira Chan-Yeung, Liling Huang, Mao Yang, Denise Daley, Deborah A. Meyers, Rasika A. Mathias, Kathleen C. Barnes, Benjamin A. Raby, Stephanie J. London, and Blanca E. Himes
Subjects: Male, Linkage disequilibrium, Allergy, Genome-wide association study, Immunoglobulin E, 80 and over, 2.1 Biological and endogenous factors, HLA-DQ beta-Chains, Immunology and Allergy, Medicine, Aetiology, Child, Lung, Aged, 80 and over, education.field_of_study, biology, Single Nucleotide, Hispanic or Latino, Middle Aged, continental population groups, Child, Preschool, Cohort, Female, Adult, race-ethnicity, Canada, Adolescent, Immunology, Population, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, Article, White People, Clinical Research, Genetics, Humans, Polymorphism, Preschool, education, Aged, Genetic association, genome-wide association study, business.industry, Inflammatory and immune system, Human Genome, Asthma, United States, total IgE, Black or African American, Minor allele frequency, Meta-analysis, Case-Control Studies, biology.protein, business, Genome-Wide Association Study
Abstract: Background IgE is both a marker and mediator of allergic inflammation. Despite reported differences in serum total IgE levels by race-ethnicity, African American and Latino subjects have not been well represented in genetic studies of total IgE. Objective We sought to identify the genetic predictors of serum total IgE levels. Methods We used genome-wide association data from 4292 subjects (2469 African Americans, 1564 European Americans, and 259 Latinos) in the EVE Asthma Genetics Consortium. Tests for association were performed within each cohort by race-ethnic group (ie, African American, Latino, and European American) and asthma status. The resulting P values were meta-analyzed, accounting for sample size and direction of effect. Top single nucleotide polymorphism associations from the meta-analysis were reassessed in 6 additional cohorts comprising 5767 subjects. Results We identified 10 unique regions in which the combined association statistic was associated with total serum IgE levels ( P −6 ) and the minor allele frequency was 5% or greater in 2 or more population groups. Variant rs9469220, corresponding to HLA-DQB1 , was the single nucleotide polymorphism most significantly associated with serum total IgE levels when assessed in both the replication cohorts and the discovery and replication sets combined ( P = .007 and 2.45 × 10 −7 , respectively). In addition, findings from earlier genome-wide association studies were also validated in the current meta-analysis. Conclusion This meta-analysis independently identified a variant near HLA-DQB1 as a predictor of total serum IgE levels in multiple race-ethnic groups. This study also extends and confirms the findings of earlier genome-wide association analyses in African American and Latino subjects.
Published: 2013

31. Confounding and Heterogeneity in Genetic Association Studies with Admixed Populations

Author: David V. Conti, Frank D. Gilliland, Jinghua Liu, W. James Gauderman, and Juan Pablo Lewinger
Subjects: Linkage disequilibrium, Genotype, Confounding Factors (Epidemiology), Practice of Epidemiology, Epidemiology, Population, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, California, Linkage Disequilibrium, White People, Genetic Heterogeneity, Humans, SNP, Computer Simulation, Genetic Predisposition to Disease, Child, education, Mathematical Computing, Alleles, Genetic association, education.field_of_study, Genome, Human, Genetic heterogeneity, Confounding, Confounding Factors, Epidemiologic, Hispanic or Latino, Asthma, Logistic Models, Evolutionary biology, Case-Control Studies, Multivariate Analysis, Linear Models, Genome-Wide Association Study
Abstract: Association studies among admixed populations pose many challenges including confounding of genetic effects due to population substructure and heterogeneity due to different patterns of linkage disequilibrium (LD). We use simulations to investigate controlling for confounding by indicators of global ancestry and the impact of including a covariate for local ancestry. In addition, we investigate the use of an interaction term between a single-nucleotide polymorphism (SNP) and local ancestry to capture heterogeneity in SNP effects. Although adjustment for global ancestry can control for confounding, additional adjustment for local ancestry may increase power when the induced admixture LD is in the opposite direction as the LD in the ancestral population. However, if the induced LD is in the same direction, there is the potential for reduced power because of overadjustment. Furthermore, the inclusion of a SNP by local ancestry interaction term can increase power when there is substantial differential LD between ancestry populations. We examine these approaches in genome-wide data using the University of Southern California's Children's Health Study investigating asthma risk. The analysis highlights rs10519951 (P = 8.5 × 10(-7)), a SNP lacking any evidence of association from a conventional analysis (P = 0.5).
Published: 2013

32. Further replication studies of the EVE Consortium meta-analysis identifies 2 asthma risk loci in European Americans

Author: Fernando D. Martinez, Harold J. Farber, Dara G. Torgerson, Hita Vora, Jinghua Liu, Pedro C. Avila, Dan L. Nicolae, Deborah A. Meyers, Shannon Thyne, Esteban G. Burchard, Luisa N. Borrell, Michael A. LeNoir, Carole Ober, W. James Gauderman, Juan C. Celedón, Penelope E. Graves, Rajesh Kumar, Manuel E. Soto-Quiros, Isabelle Romieu, Cristina Rebordosa, Denise Serebrisky, James J. Yang, Jose R. Rodriguez-Santana, Scott T. Weiss, Stephanie J. London, Jianming Xie, David V. Conti, William Rodriguez-Cintron, James W. Baurley, Benjamin A. Raby, Christopher R. Gignoux, Frank D. Gilliland, Albert M. Levin, Rasika A. Mathias, Robert F. Lemanske, Rachel A. Myers, Lindsey A. Roth, Blanca E. Himes, Eugene R. Bleecker, Kathleen C. Barnes, Lydiana Avila, Kelley Meade, Celeste Eng, and L. Keoki Williams
Subjects: Linkage disequilibrium, Allergy, DNA Mutational Analysis, Immunology, KLK3, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Chromosomes, White People, Odds, Meta-Analysis as Topic, Risk Factors, Clinical Research, Genetics, genetic risk factors, Humans, 2.1 Biological and endogenous factors, Immunology and Allergy, SNP, Genetic Predisposition to Disease, Polymorphism, Aetiology, Lung, Genetic association, African Americans, Pair 19, Whites, Human Genome, Single Nucleotide, Hispanic or Latino, Odds ratio, Prostate-Specific Antigen, Asthma, United States, Black or African American, meta-analysis, Genetic Loci, Meta-analysis, Kallikreins, Chromosomes, Human, Pair 19, Human, Genome-Wide Association Study
Abstract: Background Genome-wide association studies of asthma have implicated many genetic risk factors, with well-replicated associations at approximately 10 loci that account for only a small proportion of the genetic risk. Objectives We aimed to identify additional asthma risk loci by performing an extensive replication study of the results from the EVE Consortium meta-analysis. Methods We selected 3186 single nucleotide polymorphisms for replication based on the P values from the EVE Consortium meta-analysis. These single nucleotide polymorphisms were genotyped in ethnically diverse replication samples from 9 different studies, totaling 7202 cases, 6426 controls, and 507 case–parent trios. Association analyses were conducted within each participating study, and the resulting test statistics were combined in a meta-analysis. Results Two novel associations were replicated in European Americans: rs1061477 in the KLK3 gene on chromosome 19 (combined odds ratio = 1.18; 95% CI, 1.10-1.25) and rs9570077 (combined odds ratio =1.20; 95% CI, 1.12-1.29) on chromosome 13q21. We could not replicate any additional associations in the African Americans or Latinos. Conclusions This extended replication study identified 2 additional asthma risk loci in populations of European descent. The absence of additional loci for African Americans and Latinos highlights the difficulty in replicating associations in admixed populations.
Published: 2012

33. Meta-analysis of genome-wide association studies of asthma in ethnically diverse North American populations

Author: Nadia N. Hansel, Frank D. Gilliland, Penelope E. Graves, Albert M. Levin, W. James Gauderman, Eugene R. Bleecker, Lindsey A. Roth, Rebekah A. Abel, Pedro C. Avila, Gregory B. Diette, Carole Ober, N. Franklin Adkinson, K. Ross, Muhammad T. Salam, Jose R. Rodriquez-Santana, David Van Den Berg, Esteban G. Burchard, James E. Gern, Robert F. Lemanske, Fernando D. Martinez, Terri H. Beaty, Christopher R. Gignoux, Klaus A. Deichmann, Alkis Togias, Deborah A. Meyers, Rachel A. Myers, Daniel Capurso, Serpil C. Ezurum, Celeste Eng, Liming Liang, L. Keoki Williams, Jean G. Ford, Isabelle Romieu, Dana B. Hancock, Donglei Hu, Hita Vora, Scott Huntsman, Stephanie J. London, William J. Calhoun, Grace Y. Chiu, Mezbah U. Faruque, Xia Li, Joshua Galanter, Kian Fan Chung, Vito J. Mantese, Dara G. Torgerson, Kathleen C. Barnes, Elliott Israel, William Rodríguez-Cintrón, Juan José Luis Sienra-Monge, James W. Baurley, Ingo Ruczinski, Benjamin A. Raby, R. Chapela, Harold Watson, Juan C. Celedón, Manuel Soto-Quiros, Nicholas Rafaels, William W. Busse, Rasika A. Mathias, Blanca Estela Del Río-Navarro, Mario Castro, Lydiana Avila, Georgia M. Dunston, Blanca E. Himes, Ryan D. Hernandez, Elizabeth J. Ampleford, Min Shi, David V. Conti, Xingnan Li, Sally E. Wenzel, Andrea Heinzmann, Scott T. Weiss, Debra A. Stern, and Dan L. Nicolae
Subjects: Risk, Ethnic group, IL1RL1, Genome-wide association study, Biology, Article, White People, 03 medical and health sciences, 0302 clinical medicine, Genetics, medicine, Humans, Genetic Predisposition to Disease, 030304 developmental biology, Asthma, Genetic association, 0303 health sciences, Hispanic or Latino, Ethnically diverse, medicine.disease, Genetic architecture, respiratory tract diseases, 3. Good health, Black or African American, Caribbean Region, 030228 respiratory system, Genetic Loci, Meta-analysis, North America, Genome-Wide Association Study
Abstract: Asthma is a common disease with a complex risk architecture including both genetic and environmental factors. We performed a meta-analysis of North American genome-wide association studies of asthma in 5,416 individuals with asthma (cases) including individuals of European American, African American or African Caribbean, and Latino ancestry, with replication in an additional 12,649 individuals from the same ethnic groups. We identified five susceptibility loci. Four were at previously reported loci on 17q21, near IL1RL1, TSLP and IL33, but we report for the first time, to our knowledge, that these loci are associated with asthma risk in three ethnic groups. In addition, we identified a new asthma susceptibility locus at PYHIN1, with the association being specific to individuals of African descent (P = 3.9 × 10(-9)). These results suggest that some asthma susceptibility loci are robust to differences in ancestry when sufficiently large samples sizes are investigated, and that ancestry-specific associations also contribute to the complex genetic architecture of asthma.
Published: 2011

34. Genetic Variation in the Glutathione Synthesis Pathway, Air Pollution, and Children's Lung Function Growth

Author: W. James Gauderman, Carrie V. Breton, Hita Vora, Muhammad T. Salam, and Frank D. Gilliland
Subjects: Lung Diseases, Male, Pulmonary and Respiratory Medicine, Antioxidant, medicine.medical_treatment, macromolecular substances, Biology, Critical Care and Intensive Care Medicine, Polymorphism, Single Nucleotide, California, Cohort Studies, FEV1/FVC ratio, chemistry.chemical_compound, Air Pollution, Forced Expiratory Volume, Intensive care, Genetic variation, medicine, Humans, Genetic Predisposition to Disease, Prospective Studies, Child, Lung, D. Genetics, GCLM, Environmental Exposure, Forced Expiratory Flow Rates, Environmental exposure, Glutathione, respiratory system, respiratory tract diseases, Respiratory Function Tests, Oxidative Stress, GCLC, chemistry, Immunology, Female, Follow-Up Studies
Abstract: Glutathione plays an important role in antioxidant and inflammatory processes in the lung. Alterations in glutathione metabolism are a central feature of several chronic lung diseases.To determine whether sequence variation in genes in the glutathione synthesis pathway alters susceptibility to air pollution effects on lung function.In this prospective study, 14,821 lung function measurements were taken on 2,106 children from 12 Southern California cities. Tagging single-nucleotide polymorphisms in glutathione metabolism pathway genes GSS, GSR, GCLM, and GCLC were genotyped by GoldenGate assay (Illumina, San Diego, CA). Mixed regression models were used to determine whether particular haplotypes were associated with FEV(1), maximal mid-expiratory flow rate, and FVC and whether any of the genetic associations varied with levels of exposure to air pollutants.We found that variation in the GSS locus was associated with differences in susceptibility of children for lung function growth deficits associated with NO(2), PM(10), PM(2.5), elemental carbon, organic carbon, and O(3). The negative effects of air pollutants were largely observed within participants who had a particular GSS haplotype. The effects ranged from -124.2 to -149.1 for FEV(1), from -92.9 to -126.7 for FVC, and from -193.9 to -277.9 for maximal mid-expiratory flow rate for all pollutants except O(3), which showed a larger decrease in lung function in children without this haplotype.Variation in GSS was associated with differences in susceptibility to adverse effects of pollutants on lung function growth.
Published: 2011

35. TSLP polymorphisms are associated with asthma in a sex-specific fashion

Author: Frank D. Gilliland, James W. Baurley, Benjamin A. Raby, Ingo Ruczinski, Hita Vora, Scott T. Weiss, Sunita Sharma, George T. O'Connor, Nicholas Rafaels, W. James Gauderman, T.H. Beaty, Augustine M.K. Choi, Juan C. Celedón, Barbara J. Klanderman, Manuel E. Soto-Quiros, Jemma B. Wilk, Hong P. Kim, Blanca E. Himes, Rasika A. Mathias, Elliot Israel, Jessica Lasky-Su, Kathleen C. Barnes, Cara Bossley, Lydiana Avila, Jody S. Sylvia, Gary M. Hunninghake, Catherine Liang, and Andrew Bush
Subjects: Thymic stromal lymphopoietin, biology, business.industry, Immunology, Genome-wide association study, Single-nucleotide polymorphism, medicine.disease, Immunoglobulin E, respiratory tract diseases, immune system diseases, Immunopathology, medicine, biology.protein, Immunology and Allergy, Allele, business, Genetic association, Asthma
Abstract: Background Single nucleotide polymorphisms (SNPs) in thymic stromal lymphopoietin (TSLP) have been associated with IgE (in girls) and asthma (in general). We sought to determine whether TSLP SNPs are associated with asthma in a sex-specific fashion.
Published: 2010

36. Role of local CpG DNA methylation in mediating the 17q21 asthma susceptibility gasdermin B (GSDMB)/ORMDL sphingolipid biosynthesis regulator 3 (ORMDL3) expression quantitative trait locus

Author: W. James Gauderman, Albino Barraza-Villarreal, Andrew H. Liu, Fernando D. Martinez, Jerry A. Krishnan, Steven R. White, Scott T. Weiss, Robert F. Lemanske, Benjamin A. Raby, Carole Ober, Damien C. Croteau-Chonka, Edward T. Naureckas, Stephanie J. London, Frank D. Gilliland, Dan L. Nicolae, Parul H. Kothari, Vincent J. Carey, Weiliang Qiu, Joshua Millstein, and Kathleen C. Barnes
Subjects: 0301 basic medicine, Regulation of gene expression, Genetics, Immunology, Methylation, Quantitative trait locus, Biology, 03 medical and health sciences, ORMDL sphingolipid biosynthesis regulator 3, 030104 developmental biology, 0302 clinical medicine, 030228 respiratory system, CpG site, Genotype, DNA methylation, Expression quantitative trait loci, Immunology and Allergy
Published: 2018

37. Efficient Genome-Wide Association Testing of Gene-Environment Interaction in Case-Parent Trios

Author: W. James Gauderman, Dalin Li, Juan Pablo Lewinger, Cassandra E. Murcray, David V. Conti, and Duncan C. Thomas
Subjects: Parents, Models, Genetic, Genome, Human, Practice of Epidemiology, Epidemiology, Genome-wide association study, Single-nucleotide polymorphism, Locus (genetics), Environmental exposure, Computational biology, Environment, Biology, Polymorphism, Single Nucleotide, Minor allele frequency, Gene Frequency, Humans, Genetic Predisposition to Disease, Genetic Testing, Allele, Gene–environment interaction, Epidemiologic Methods, Allele frequency, Genome-Wide Association Study
Abstract: Complex trait variation is likely to be explained by the combined effects of genes, environmental factors, and gene × environment (G × E) interaction. The authors introduce a novel 2-step method for detecting a G × E interaction in a genome-wide association study (GWAS) of case-parent trios. The method utilizes 2 sources of G × E information in a trio sample to construct a screening step and a testing step. Across a wide range of models, this 2-step procedure provides substantially greater power to detect G × E interaction than a standard test of G × E interaction applied genome-wide. For example, for a disease susceptibility locus with minor allele frequency of 15%, a binary exposure variable with 50% prevalence, and a GWAS scan of 1 million markers in 1,000 case-parent trios, the 2-step method provides 87% power to detect a G × E interaction relative risk of 2.3, as compared with only 25% power using a standard G × E test. The method is easily implemented using standard software. This 2-step scan for G × E interaction is independent of any prior scan that may have been conducted for genetic main effects, and thus has the potential to uncover new genes in a GWAS that have not been previously identified.
Published: 2010

38. Functional Variants in the Catalase and Myeloperoxidase Genes, Ambient Air Pollution, and Respiratory-related School Absences: An Example of Epistasis in Gene-Environment Interactions

Author: W. James Gauderman, Madé Wenten, Frank D. Gilliland, Kiros Berhane, John C. Peters, and Pi-Chu Lin
Subjects: Epidemiology, Original Contributions, Nitrogen Dioxide, Respiratory Tract Diseases, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, White People, Ozone, Polymorphism (computer science), Absenteeism, medicine, Humans, Genetic Predisposition to Disease, Prospective Studies, Respiratory system, Gene–environment interaction, Child, Peroxidase, Asthma, Air Pollutants, Schools, Epistasis, Genetic, Hispanic or Latino, Catalase, medicine.disease, Relative risk, Myeloperoxidase, Acute Disease, Immunology, biology.protein, Epistasis, Particulate Matter
Abstract: The individual effect of functional single nucleotide polymorphisms within the catalase and myeloperoxidase genes (CAT and MPO) has been studied in relation to asthma; however, their interrelationship with ambient air pollution exposures has yet to be determined. The authors investigated the interrelationships between variants in CAT and MPO, ambient air pollutants, and acute respiratory illness. Health information, air pollution, and incident respiratory-related school absences were ascertained in January–June 1996 for 1,136 Hispanic and non-Hispanic white US elementary schoolchildren as part of the prospective Children's Health Study. Functional and tagging single nucleotide polymorphisms for the CAT and MPO loci were genotyped. The authors found epistasis between functional polymorphisms in the CAT/MPO loci, which differed by levels of oxidant-stress-producing air pollutants. Risk of respiratory-related school absences was elevated for children with the CAT (G/G) and MPO (G/A or A/A) genes (relative risk = 1.35, 95% confidence interval: 1.03, 1.77; P-interaction = 0.005). The epistatic effect of CAT and MPO variants was most evident in communities exhibiting high ambient ozone levels (P-interaction = 0.03). The association of respiratory-illness absences with functional variants in CAT and MPO that differ by air pollution levels illustrates the need to consider genetic epistasis in assessing gene-environment interactions.
Published: 2009

39. Glutathione S- Transferase P1, Maternal Smoking, and Asthma in Children: A Haplotype-Based Analysis

Author: W. James Gauderman, Yu-Fen Li, Frank D. Gilliland, Pi Chu Lin, Edward L. Avol, and David V. Conti
Subjects: Male, haplotypes, Linkage disequilibrium, Adolescent, Health, Toxicology and Mutagenesis, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Tobacco smoke, 03 medical and health sciences, GSTP1, 0302 clinical medicine, children, Pregnancy, medicine, Genetic predisposition, Humans, Child, Promoter Regions, Genetic, Respiratory Sounds, 030304 developmental biology, Asthma, Genetics, 0303 health sciences, Research, Smoking, Haplotype, Age Factors, Public Health, Environmental and Occupational Health, asthma, medicine.disease, 3. Good health, Glutathione S-transferase, Glutathione S-Transferase pi, 030228 respiratory system, Maternal Exposure, Prenatal Exposure Delayed Effects, Children's Health, Immunology, biology.protein, Female, Tobacco Smoke Pollution
Abstract: Over the last 25 years, asthma has emerged as an increasingly important public health problem (Anderson et al. 1994; Rappaport and Boodram 1998). The pathogenesis and etiology of asthma is complex and not fully understood. Although a rapid rise in childhood asthma prevalence suggests a role for environmental factors in the etiology of this evolving epidemic, genetic susceptibility to environmental stressors is also likely to influence the occurrence of asthma (Blumenthal 2005; Cookson 2002; Hemminki et al. 2007). Evidence suggests that members of the glutathione S-transferase (GST) superfamily contribute to asthma pathogenesis. We have previously reported that GSTM1 is associated with asthma risk in children exposed to tobacco smoke (Gilliland et al. 2002b). The GST superfamily includes a number of additional candidate susceptibility genes for asthma because several members, including GSTP1, are expressed in the respiratory tract and function in processes implicated in asthma pathogenesis, including oxidant defenses, xenobiotic metabolism, and detoxification of hydroperoxides (Strange et al. 2001). DNA sequence variants in the GSTP1 locus may contribute to susceptibility to oxidative stress and airway inflammation, which are key processes in asthma pathogenesis. A functional sequence variant in GSTP1 at codon 105 (Ile105Val) has been associated with asthma and susceptibility to the adverse effects of tobacco smoke and ambient air pollution in several studies (Aynacioglu et al. 2004; Ercan et al. 2006; Fryer et al. 2000; Gilliland et al. 2002a, 2004; Hemmingsen et al. 2001; Lee et al. 2004, 2005; Mapp et al. 2002; Palmer et al. 2006; Spiteri et al. 2000; Tamer et al. 2004). Although evidence indicates a role of the GSTP1 Ile105Val variant in asthma, the effect of other common variants in GSTP1 coding and promoter region and the joint effects with tobacco-smoke exposure have yet to be fully determined. The human genome is characterized by regions of strong linkage disequilibrium (LD) that have been labeled as haplotype blocks by Gabriel et al. (2002). The common genetic variation across the region can be predicted using only a subset of all single nucleotide polymorphisms [haplotype tagging SNPs (htSNPs)] (Stram et al. 2003). These can be used to impute haplotypes and provide an indirect assessment of potential common causal variants that may not have been genotyped. To further investigate the effect of common GSTP1 variants to asthma occurrence and susceptibility to tobacco smoke, we examined associations between common GSTP1 haplotypes, tobacco-smoke exposure, childhood asthma, and related symptoms among participants in the Children’s Health Study.
Published: 2008

40. Exploiting Gene-Environment Interaction to Detect Genetic Associations

Author: Yu-Chun Yen, W. James Gauderman, Peter Kraft, John Morrison, and Daniel O. Stram
Subjects: Association (object-oriented programming), Penetrance, Context (language use), Computational biology, Environment, Biology, Logistic regression, Sensitivity and Specificity, Gene Frequency, Genetics, Humans, Genetic Predisposition to Disease, Gene–environment interaction, Genetics (clinical), Independence (probability theory), Genetic association, Likelihood Functions, Models, Genetic, Genetic Diseases, Inborn, Genomics, Genes, Sample size determination, Case-Control Studies, Sample Size
Abstract: Complex disease by definition results from the interplay of genetic and environmental factors. However, it is currently unclear how gene-environment interaction can best be used to locate complex disease susceptibility loci, particularly in the context of studies where between 1,000 and 1,000,000 markers are scanned for association with disease. We present a joint test of marginal association and gene-environment interaction for case-control data. We compare the power and sample size requirements of this joint test to other analyses: the marginal test of genetic association, the standard test for gene-environment interaction based on logistic regression, and the case-only test for interaction that exploits gene-environment independence. Although for many penetrance models the joint test of genetic marginal effect and interaction is not the most powerful, it is nearly optimal across all penetrance models we considered. In particular, it generally has better power than the marginal test when the genetic effect is restricted to exposed subjects and much better power than the tests of gene-environment interaction when the genetic effect is not restricted to a particular exposure level. This makes the joint test an attractive tool for large-scale association scans where the true gene-environment interaction model is unknown.
Published: 2007

41. Correction: Corrigendum: Genome-wide association study of colorectal cancer identifies six new susceptibility loci

Author: Manish Gala, Stéphane Bézieau, Eric J. Jacobs, Kevin McDonnell, Amit Joshi, Leon Raskin, Shu Chen Huang, W. James Gauderman, Brian E. Henderson, Shoichiro Tsugane, Sonja I. Berndt, Marilena Melas, Jane C. Figueiredo, Christopher P. Fischer, Gregory Idos, Kana Wu, Hermann Brenner, Wei Zheng, Ulrike Peters, Stephen J. Chanock, N. M. Lindor, David J. Hunter, Martha L. Slattery, Charles Kooperberg, Cathy C. Laurie, Ben Zhang, Jing Ma, Cecelia A. Laurie, Rebecca D. Jackson, Gianluca Severi, Graham Casey, Katja Butterbach, David Van Den Berg, Frank J. Manion, Hansong Wang, Daniela Seminara, Christopher S. Carlson, Stephanie M. Gogarten, Karen W. Makar, Duncan C. Thomas, Stephen B. Gruber, David K. Levine, Barbara K. Fortini, Caroline McNeil, Flavio Lejbkowicz, Charles S. Fuchs, Motoki Iwasaki, Robert W. Haile, John D. Potter, Stephanie A. Rosse, Shuo Jiao, Keitaro Matsuo, Wei Hua Jia, Cornelia M. Ulrich, Stephanie L. Schmit, Victor Moreno, Bhramar Mukherjee, Darin Taverna, John L. Hopper, Sun Ha Jee, Dee W. West, Bette J. Caan, Andrea Z. LaCroix, Brent W. Zanke, Robert E. Schoen, Sébastien Küry, Keith R. Curtis, Loic Le Marchand, Aaron K. Aragaki, Steven Gallinger, Gad Rennert, Tabitha A. Harrison, Laurence N. Kolonel, Li Li, David V. Conti, John F. Harju, Polly A. Newcomb, David Duggan, Mathieu Lemire, Christopher K. Edlund, Thomas J. Hudson, Roger C. Green, Wei Shi, Li Hsu, Conghui Qu, Peter T. Campbell, Fredrick R. Schumacher, Mark A. Jenkins, Andrew T. Chan, Yong-Bing Xiang, Richard B. Hayes, Suminori Kono, Jenny Chang-Claude, Gerhard A. Coetzee, Carolyn M. Hutter, Hedy S. Rennert, Emily White, Graham G. Giles, Michael Hoffmeister, Xiao-Ou Shu, and Edward Giovannucci
Subjects: Genetics, Multidisciplinary, Colorectal cancer, medicine, Susceptibility locus, General Physics and Astronomy, Genome-wide association study, General Chemistry, Biology, Bioinformatics, medicine.disease, General Biochemistry, Genetics and Molecular Biology
Abstract: Corrigendum: Genome-wide association study of colorectal cancer identifies six new susceptibility loci
Published: 2015

42. An integrative genomics approach identifies new asthma pathways related to air pollution exposure

Author: Despo Ierodakoniou, Cilla Söderhäll, Annika Sääf, Johann Pellet, Charles Auffray, Judith M. Vonk, Christopher Carlsten, Maarten van den Berge, Tom Bellander, Matteo Bottai, Elaine Fuertes, Ashok Kumar, Michal Korek, Stephane Ballereau, Erik Melén, Joachim Heinrich, W. James Gauderman, Anna Bergström, Göran Pershagen, Elaina MacIntyre, Juha Kere, Nathanaël Lemonnier, Simon Kebede Merid, Josep M. Antó, Yohan Bossé, Marie Standl, Anita L. Kozyrskyj, Olena Gruzieva, David C. Nickle, Carla M. T. Tiesler, Ma'en Obeidat, Michael S. Kobor, Anna Gref, Cheng-Jian Xu, Jean Bousquet, Hita Vora, Ruiwei Jiang, Gerard H. Koppelman, Moira Chan-Yeung, Michael Brauer, Bert Brunekreef, Allan B. Becker, Dirkje S. Postma, and Groningen Research Institute for Asthma and COPD (GRIAC)
Subjects: Genetics, Expression quantitative trait loci, medicine, SNP, Locus (genetics), Single-nucleotide polymorphism, Methylation, Biology, medicine.disease, Gene, Functional genomics, Asthma
Abstract: The evidence on traffic-related air pollution exposure (TRAP) and incident childhood asthma is inconsistent, and may depend on genetic factors.We aimed to identify mechanisms of childhood asthma using genome-wide SNP data and individual TRAP exposure, and to evaluate the effect of susceptibility SNPs and TRAP on DNA-methylation and gene expression.We used LUR models to estimate individual outdoor NO2 levels at the birth address and performed a genome-wide interaction study for doctor's diagnosis of asthma up to 8 years in three European birth cohorts with replication in two North American cohorts (n=3,322 subjects). The top GWIS and replicated SNPs were assessed for methQTL effects in peripheral blood cells and eQTL effects in human lung specimens. Short- and long-term TRAP associations with methylation patterns and TRAP-induced differential gene expression in blood cells were also assessed.The novel loci MAGI1, B4GALT5, MOCOS and DLG2, and the previously lung disease linked locus ADCY2 showed strong evidence for interaction with TRAP (genome-wide significance or replication). The top replication SNP rs686237 was identified as an eQTL for B4GALT5 (p=1.18x10-17) and affected TRAP-induced gene expression (p=0.03). Differential methylation following TRAP exposure was seen for DLG2, ADCY2, MAGI1 and MOCOS. Identified genes belong to the guanylate kinase, sphingolipid and calcium signaling pathways, suggesting involvement in asthma pathogenesis.Our results indicate that gene-environment interactions are important for asthma development and that functional genomics analyses in conjunction with environmental exposures may give valuable insights about pathophysiologic mechanisms.
Published: 2015

43. Identification of Susceptibility Loci and Genes for Colorectal Cancer Risk

Author: Chenjie Zeng, Koichi Matsuda, Wei-Hua Jia, Jiang Chang, Sun-Seog Kweon, Yong-Bing Xiang, Aesun Shin, Sun Ha Jee, Dong-Hyun Kim, Ben Zhang, Qiuyin Cai, Xingyi Guo, Jirong Long, Nan Wang, Regina Courtney, Zhi-Zhong Pan, Chen Wu, Atsushi Takahashi, Min-Ho Shin, Keitaro Matsuo, Fumihiko Matsuda, Yu-Tang Gao, Jae Hwan Oh, Soriul Kim, Keum Ji Jung, Yoon-Ok Ahn, Zefang Ren, Hong-Lan Li, Jie Wu, Jiajun Shi, Wanqing Wen, Gong Yang, Bingshan Li, Bu-Tian Ji, Hermann Brenner, Robert E. Schoen, Sébastien Küry, Stephen B. Gruber, Fredrick R. Schumacher, Stephanie L. Stenzel, Graham Casey, John L. Hopper, Mark A. Jenkins, Hyeong-Rok Kim, Jin-Young Jeong, Ji Won Park, Kazuo Tajima, Sang-Hee Cho, Michiaki Kubo, Xiao-Ou Shu, Dongxin Lin, Yi-Xin Zeng, Wei Zheng, John A. Baron, Sonja I. Berndt, Stéphane Bezieau, Bette J. Caan, Christopher S. Carlson, Andrew T. Chan, Jenny Chang-Claude, Stephen J. Chanock, David V. Conti, Keith Curtis, David Duggan, Charles S. Fuchs, Steven Gallinger, Edward L. Giovannucci, Robert W. Haile, Tabitha A. Harrison, Richard B. Hayes, Michael Hoffmeister, Li Hsu, Thomas J. Hudson, David J. Hunter, Carolyn M. Hutter, Rebecca D. Jackson, Shuo Jiao, Loic Le Marchand, Mathieu Lemire, Noralane M. Lindor, Jing Ma, Polly A. Newcomb, Ulrike Peters, John D. Potter, Conghui Qu, Daniela Seminara, Martha L. Slattery, Stephen N. Thibodeau, Emily White, Brent W. Zanke, Kendra Blalock, Peter T. Campbell, Christopher K. Edlund, Jane Figueiredo, W. James Gauderman, Jian Gong, Roger C. Green, John F. Harju, Eric J. Jacobs, Li Li, Yi Lin, Frank J. Manion, Victor Moreno, Bhramar Mukherjee, Leon Raskin, Gianluca Severi, and Duncan C. Thomas
Subjects: 0301 basic medicine, Adult, Male, Ribosomal Proteins, Linkage disequilibrium, Eukaryotic Initiation Factor-3, Genome-wide association study, Single-nucleotide polymorphism, Locus (genetics), Suppressor of Cytokine Signaling Proteins, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, Young Adult, Asian People, Risk Factors, Initiation factor, Humans, Genetic Predisposition to Disease, Allele, Gene, Aged, Genetics, Hepatology, Basic Helix-Loop-Helix Leucine Zipper Transcription Factors, Gastroenterology, Steroid 17-alpha-Hydroxylase, Middle Aged, Qb-SNARE Proteins, 030104 developmental biology, Genetic Loci, Case-Control Studies, Expression quantitative trait loci, Female, Colorectal Neoplasms, Genome-Wide Association Study
Abstract: Known genetic factors explain only a small fraction of genetic variation in colorectal cancer (CRC). We conducted a genome-wide association study to identify risk loci for CRC.This discovery stage included 8027 cases and 22,577 controls of East-Asian ancestry. Promising variants were evaluated in studies including as many as 11,044 cases and 12,047 controls. Tumor-adjacent normal tissues from 188 patients were analyzed to evaluate correlations of risk variants with expression levels of nearby genes. Potential functionality of risk variants were evaluated using public genomic and epigenomic databases.We identified 4 loci associated with CRC risk; P values for the most significant variant in each locus ranged from 3.92 × 10(-8) to 1.24 × 10(-12): 6p21.1 (rs4711689), 8q23.3 (rs2450115, rs6469656), 10q24.3 (rs4919687), and 12p13.3 (rs11064437). We also identified 2 risk variants at loci previously associated with CRC: 10q25.2 (rs10506868) and 20q13.3 (rs6061231). These risk variants, conferring an approximate 10%-18% increase in risk per allele, are located either inside or near protein-coding genes that include transcription factor EB (lysosome biogenesis and autophagy), eukaryotic translation initiation factor 3, subunit H (initiation of translation), cytochrome P450, family 17, subfamily A, polypeptide 1 (steroidogenesis), splA/ryanodine receptor domain and SOCS box containing 2 (proteasome degradation), and ribosomal protein S2 (ribosome biogenesis). Gene expression analyses showed a significant association (P.05) for rs4711689 with transcription factor EB, rs6469656 with eukaryotic translation initiation factor 3, subunit H, rs11064437 with splA/ryanodine receptor domain and SOCS box containing 2, and rs6061231 with ribosomal protein S2.We identified susceptibility loci and genes associated with CRC risk, linking CRC predisposition to steroid hormone, protein synthesis and degradation, and autophagy pathways and providing added insight into the mechanism of CRC pathogenesis.
Published: 2015

44. 15q12 Variants, Sputum Gene Promoter Hypermethylation, and Lung Cancer Risk: A GWAS in Smokers

Author: Jill M. Siegfried, Christopher K. Edlund, Joel L. Weissfeld, Shuguang Leng, Maria A. Picchi, Tomoko Nukui, W. James Gauderman, Frank D. Gilliland, Randall P. Willink, Kieu Do, Xiequn Zhang, Cynthia L. Thomas, Yushi Liu, Elizabeth A. Burki, David Van Den Berg, Autumn Gaither Davis, Richard E. Crowell, Marjorie Romkes, Steven A. Belinsky, Christopher I. Amos, Christine A. Stidley, Yohannes Tesfaigzi, and Younghun Han
Subjects: Adult, Male, Risk, Cancer Research, Candidate gene, Lung Neoplasms, Genotype, Epigenetic code, Biology, medicine.disease_cause, Polymorphism, Single Nucleotide, Article, Gene Frequency, medicine, Humans, Genetic Predisposition to Disease, Epigenetics, Cancer epigenetics, Promoter Regions, Genetic, Aged, Genetics, Chromosomes, Human, Pair 15, Smoking, Sputum, Reproducibility of Results, Methylation, DNA Methylation, Middle Aged, Logistic Models, Haplotypes, Oncology, CpG site, DNA methylation, Female, Carcinogenesis, Genome-Wide Association Study
Abstract: Lung cancer is the leading cause of cancer-related mortality in both sexes worldwide, mainly because of lack of established early screening strategies (1). The development of this disease over 30 to 40 years in smokers involves field cancerization, characterized as the acquisition of genetic and epigenetic changes in oncogenes and tumor suppressor genes throughout the lung epithelium (2). The epigenetic silencing of tumor suppressor genes by promoter hypermethylation has been recognized as a major and causal event for lung cancer initiation and progression (2). Moreover, the detection of gene methylation in exfoliated cells from the lungs of smokers provides an assessment of the extent of field cancerization and is a validated biomarker for predicting lung cancer risk (2–4). The precise mechanism by which cigarette carcinogens disrupt the capacity of lung cells to maintain the epigenetic code during DNA replication and repair is largely unknown. Thus, the identification of genetic determinants contributing to the propensity for acquiring gene methylation in lung epithelium of smokers should provide new insights into the mechanisms underlying epigenetic reprogramming during lung carcinogenesis. Importantly, these genetic loci may also contribute to the genetic component affecting the risk for lung cancer that includes risk loci identified in several lung cancer genome-wide association studies (GWAS [5]). Emerging evidence suggested that genome-wide landscaping of the sequence-dependent allele-specific methylation for nonimprinted genes may help pinpoint the functional regulatory polymorphisms that may influence the disease susceptibility (6). Most recently, Shi et al. (7) conducted a genome-wide assessment for methylation quantitative trait loci (meQTL) and found 34 304 cis-meQTLs, mostly localized to CpG sites outside of genes, promoters, and CpG islands, and 585 trans-meQTLs largely overrepresented in promoter CpG islands. A strong enrichment of these meQTL single nucleotide polymorphisms (SNPs) for DNase hypersensitive sites and sequences bound by CCCTC-binding factor (CTCF) or modified histones was also identified in cell lines, although the effect of methylation of these CpG sites on gene transcription regulation warrants future investigation (7). The etiology of tumor development likely requires the acquisition of the silencing of hundreds of critical genes by promoter methylation, with most gene silencing occurring independent of allele-specific methylation and/or meQTL (Leng et al., unpublished data). Previously, we conducted a candidate gene–based study that implicated genetic variation in DNA replication and apoptosis pathways in modifying the propensity for gene methylation in the aerodigestive tract of smokers (8). The current study extends this work by conducting a two-stage GWAS (9) using smokers from two geographically independent cohorts to identify low-penetrance alleles affecting the propensity for acquiring gene methylation in the lungs.
Published: 2015

45. Ethnic-specific associations of rare and low-frequency DNA sequence variants with asthma

Author: Carole Ober, Jane A. Hoppin, W. James Gauderman, Muhammad T. Salam, Kathleen C. Barnes, Catherine Igartua, James J. Yang, Esteban G. Burchard, Christopher K. Edlund, James E. Gern, Scott T. Weiss, Benjamin A. Raby, Frank D. Gilliland, Albert M. Levin, Stephanie J. London, Rachel A. Myers, Isabelle Romieu, Rasika A. Mathias, Fernando D. Martinez, Blanca E. Del-Rio-Navarro, Oren E. Livne, Nicholas Rafaels, Celeste Eng, L. Keoki Williams, Daniel J. Jackson, Annah B. Wyss, Raphael Mourad, Dan L. Nicolae, Penelope E. Graves, Scott Huntsman, Robert F. Lemanske, and Maria Pino-Yanes
Subjects: Male, Linkage disequilibrium, Ethnic group, General Physics and Astronomy, Genome-wide association study, Biology, Article, Linkage Disequilibrium, General Biochemistry, Genetics and Molecular Biology, DNA sequencing, medicine, Humans, Missense mutation, Genetic Predisposition to Disease, Gene, Asthma, Genetics, Multidisciplinary, Membrane Proteins, General Chemistry, medicine.disease, Neoplasm Proteins, respiratory tract diseases, 3. Good health, Membrane protein, Female, Carrier Proteins, Genome-Wide Association Study
Abstract: Common variants at many loci have been robustly associated with asthma but explain little of the overall genetic risk. Here we investigate the role of rare (, Common variants account for only a small amount of the heritable risk for developing asthma. Using a meta-analysis approach, Igartua et al. identify one low-frequency missense mutation and two genes with functional variants that are associated with asthma, but only in specific ethnic groups.
Published: 2015

46. Genome-wide association study of colorectal cancer identifies six new susceptibility loci

Author: Katja Butterbach, Christopher K. Edlund, Duncan C. Thomas, Gianluca Severi, Motoki Iwasaki, Keith R. Curtis, Emily White, Fredrick R. Schumacher, Wei Shi, Sun Ha Jee, W. James Gauderman, Dee W. West, Robert W. Haile, Wei Hua Jia, Jing Ma, Graham Casey, Mark A. Jenkins, Wei Zheng, Stéphane Bézieau, Mathiew Lemire, Andrea Z. LaCroix, Charles S. Fuchs, David Van Den Berg, Cecelia A. Laurie, Yong-Bing Xiang, Gad Rennert, Tabitha A. Harrison, Karen W. Makar, Marilena Melas, Hermann Brenner, Laurence N. Kolonel, Christopher S. Carlson, Cathy C. Laurie, Barbara K. Fortini, Shoichiro Tsugane, John F. Harju, Bhramar Mukherjee, Steven Gallinger, Darin Taverna, John L. Hopper, John D. Potter, Polly A. Newcomb, Aaron K. Aragaki, Sonja I. Berndt, Keitaro Matsuo, Cornelia M. Ulrich, Stephanie L. Schmit, Jane C. Figueiredo, Li Li, Victor Moreno, Eric J. Jacobs, Gregory Idos, Kana Wu, Stephen B. Gruber, Stephen J. Chanock, Kevin McDonnell, David K. Levine, Amit Joshi, Shuo Jiao, Brian E. Henderson, Thomas J. Hudson, Andrew T. Chan, Daniela Seminara, Stephanie M. Gogarten, Christopher P. Fischer, Roger C. Green, David Duggan, Bette J. Caan, Ulrike Peters, Richard B. Hayes, N. M. Lindor, Rebecca D. Jackson, David J. Hunter, Martha L. Slattery, Loic Le Marchand, Ben Zhang, Edward L. Giocannucci, Brent W. Zanke, Stephanie A. Rosse, David V. Conti, Sebastian Kury, Leon Raskin, Manish Gala, Shu Chen Huang, Frank J. Manion, Hansong Wang, Hedy S. Rennert, Gerhard A. Coetzee, Carolyn M. Hutter, Suminori Kono, Jenny Chang-Claude, Graham G. Giles, Michael Hoffmeister, Xiao-Ou Shu, Caroline McNeil, Flavio Lejbkowicz, Robert E. Schoen, Li Hsu, Conghui Qu, Peter T. Campbell, and Charles Kooperberg
Subjects: Colorectal cancer, General Physics and Astronomy, Genome-wide association study, Biology, Bioinformatics, Genoma humà, Polymorphism, Single Nucleotide, Article, General Biochemistry, Genetics and Molecular Biology, Polymorphism (computer science), Càncer colorectal, Odds Ratio, medicine, Genetic predisposition, Genetics, Humans, Genetic Predisposition to Disease, Multidisciplinary, Human genome, Case-control study, Cancer, General Chemistry, medicine.disease, Genetic epidemiology, Case-Control Studies, Colorectal Neoplasms, Genètica, Genome-Wide Association Study
Abstract: El document inclou una pàgina final amb una correcció (corrigendum). Aquesta, per si sola, té el següent DOI: 10.1038/ncomms9739 i es va publicar al mateix vol. 6., Genetic susceptibility to colorectal cancer is caused by rare pathogenic mutations and common genetic variants that contribute to familial risk. Here we report the results of a two-stage association study with 18,299 cases of colorectal cancer and 19,656 controls, with follow-up of the most statistically significant genetic loci in 4,725 cases and 9,969 controls from two Asian consortia. We describe six new susceptibility loci reaching a genome-wide threshold of P
Published: 2015

47. Intercellular adhesion molecule-1 and childhood asthma

Author: W. James Gauderman, David V. Conti, Edward L. Avol, Yo-Hsuang Tsao, Yu-Fen Li, Louis Dubeau, and Frank D. Gilliland
Subjects: Male, Adolescent, Biology, Population stratification, Lower risk, Polymorphism, Single Nucleotide, Cohort Studies, Risk Factors, Polymorphism (computer science), Odds Ratio, Genetics, medicine, Humans, Allele, Child, Codon, Genetics (clinical), Asthma, Haplotype, Confounding, Genetic Variation, Hispanic or Latino, Odds ratio, Intercellular Adhesion Molecule-1, medicine.disease, Black or African American, Haplotypes, Immunology, Female
Abstract: We investigated the role of intercellular adhesion molecule-1 in childhood asthma by examining associations of functional variants at codons 29 (A --> T), 241 (G --> A), and 469 (A --> G) in Children's Health Study participants. Among African-Americans, 469G carriers had lower risk for asthma (ever asthma OR = 0.4, 95% CI 0.2-0.9) but increased risk among 29T carriers (early onset active asthma OR = 2.2, 95% CI 1.0-4.9). Protective associations with the 241A allele were observed among non-Hispanic and Hispanic whites (ever asthma OR = 0.7, 95% CI 0.6-0.9; early onset active asthma OR = 0.5, 95% CI 0.4-0.8), and these associations were not confounded by population stratification. To gauge the potential impact of confounding by population stratification, we performed analyses by ethnic group and in an independent family-based sample. Regional associations were stable across analyses. Haplotype associations of the four common haplotypes (29A/241G/469A, AGG, TGA, and AAG) with asthma showed that Hispanics with the AAG haplotype had lower asthma risk compared to carriers of two copies of AGA haplotype (OR = 0.6, 95% CI 0.4-0.9). Among non-Hispanic whites, the AAG haplotype was associated with reduced risk for active asthma. For African-Americans, who had a low frequency of the AAG haplotype, carrying one copy of the AGG haplotype was associated with a lower risk of asthma (OR = 0.3, 95% CI 0.1-0.8), as compared with two copies of the AGA haplotype. Consistent with information on variant function, the 241A and 469G variants may indicate haplotypes that are associated with reduced risk for asthma.
Published: 2005

48. SNPs, haplotypes, and model selection in a candidate gene region: The SIMPle analysis for multilocus data

Author: W. James Gauderman and David V. Conti
Subjects: Genetics, Candidate gene, Models, Statistical, Genotype, Models, Genetic, Genome, Human, Epidemiology, Model selection, Haplotype, Chromosome Mapping, Bayes Theorem, Computational biology, Tag SNP, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Bayes' theorem, Genetics, Population, Haplotypes, Humans, Genetic Predisposition to Disease, Pairwise comparison, Genetics (clinical), Selection (genetic algorithm), Genetic association
Abstract: Modern molecular techniques make discovery of numerous single nucleotide polymorphims (SNPs) in candidate gene regions feasible. Conventional analysis relies on either independent tests with each variant or the use of haplotypes in association analysis. The first technique ignores the dependencies between SNPs. The second, though it may increase power, often introduces uncertainty by estimating haplotypes from population data. Additionally, as the number of loci expands for a haplotype, ambiguity in interpretation increases for determining the underlying genetic components driving a detected association. Here, we present a genotype-level analysis to jointly model the SNPs via a SNP interaction model with phase information (SIMPle) to capture the underlying haplotype structure. This analysis estimates both the risk associated with each variant and the importance of phase between pairwise combinations of SNPs. Thus, rather than selecting between genotype- or haplotype-level approaches, the SIMPle method frames the analysis of multilocus data in a model selection paradigm, the aim to determine which SNPs, phase terms, and linear combinations best describe the relation between genetic variation and a trait of interest. To avoid unstable estimation due to sparse data and to incorporate both the dependencies among terms and the uncertainty in model selection, we propose a Bayes model averaging procedure. This highlights key SNPs and phase terms and yields a set of best representative models. Using simulations, we demonstrate the utility of the SIMPle model to identify crucial SNPs and underlying haplotype structures across a variety of causal models and genetic architectures.
Published: 2004

49. No Evidence of Gene-Calcium Interactions from Genome-Wide Analysis of Colorectal Cancer Risk

Author: Andrew T. Chan, Brian E. Henderson, Richard B. Hayes, David Duggan, Jian Gong, Carolyn M. Hutter, Michael Hoffmeister, Loic Le Marchand, Mengmeng Du, John L. Hopper, Ulrike Peters, W. James Gauderman, Brent W. Zanke, Sonja I. Berndt, Edward Giovannucci, Thomas J. Hudson, Mark A. Jenkins, Keith R. Curtis, Polly A. Newcomb, Daniela Seminara, Jenny Chang-Claude, Hermann Brenner, Cornelia M. Ulrich, John A. Baron, Tabitha A. Harrison, Laurence N. Kolonel, Anja Rudolph, Graham Casey, Kana Wu, Christopher S. Carlson, John D. Potter, Xuehong Zhang, Li Hsu, Emily White, Peter T. Campbell, Robert E. Schoen, Martha L. Slattery, Yi Lin, Shuo Jiao, Mark D. Thornquist, and Jonathan M. Kocarnik
Subjects: Male, Epidemiology, Colorectal cancer, chemistry.chemical_element, Single-nucleotide polymorphism, Genome-wide association study, Biology, Calcium, Bioinformatics, Logistic regression, Polymorphism, Single Nucleotide, Article, Risk Factors, medicine, Humans, SNP, Genetic Predisposition to Disease, Gene, medicine.disease, Calcium, Dietary, Oncology, chemistry, Multiple comparisons problem, Female, Colorectal Neoplasms, Genome-Wide Association Study
Abstract: Background: Calcium intake may reduce risk of colorectal cancer, but the mechanisms remain unclear. Studies of interaction between calcium intake and SNPs in calcium-related pathways have yielded inconsistent results. Methods: To identify gene–calcium interactions, we tested interactions between approximately 2.7 million SNPs across the genome with self-reported calcium intake (from dietary or supplemental sources) in 9,006 colorectal cancer cases and 9,503 controls of European ancestry. To test for multiplicative interactions, we used multivariable logistic regression and defined statistical significance using the conventional genome-wide α = 5E−08. Results: After accounting for multiple comparisons, there were no statistically significant SNP interactions with total, dietary, or supplemental calcium intake. Conclusions: We found no evidence of SNP interactions with calcium intake for colorectal cancer risk in a large population of 18,509 individuals. Impact: These results suggest that in genome-wide analysis common genetic variants do not strongly modify the association between calcium intake and colorectal cancer in European populations. Cancer Epidemiol Biomarkers Prev; 23(12); 2971–6. ©2014 AACR.
Published: 2014
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50. Association tests using unaffected-sibling versus pseudo-sibling controls

Author: Duncan C. Thomas, W. James Gauderman, and Kimberly D. Siegmund
Subjects: Genetics, Linkage disequilibrium, education.field_of_study, Epidemiology, Population, Locus (genetics), Replicate, Biology, Identity by descent, Population study, Allele, Sibling, education, Genetics (clinical)
Abstract: We used family-matched case-control data to screen the genome for markers associated with disease in the simulated data set. Two different types of controls were considered: (1) unaffected siblings and (2) 'pseudo siblings,' a comparison sample created using the parental alleles. The scans were conducted on the first replicate of each study population. Overall, the two methods identified 14 marker loci associated with disease at the 0.001 significance level. Marker D1G24 (locus D) was the only true disease locus found by both approaches. No associations were found at any of the markers flanking the unobserved disease susceptibility loci (A, B, or C). We subsequently pooled the 25 replicates from a single population. This large sample still did not yield any associations at the flanking markers. We tested for association at locus D using a pseudo-sib approach restricted to alleles shared identical by descent between affected sib pairs. The power was 44% (11/25 replicates) at a significance level o 0.001f . ® 1999 Wiley-Liss, Inc. Key words: conditional likelihood, generalized transmission/disequilibrium test, genome screen, linkage disequilibrium
Published: 1999

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