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Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions.
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, Hugues; 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, Evangelos; Graff, Mariaelisa; Alver, Maris; 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.
Afiliação
  • de Vries PS; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas.
  • Brown MR; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas.
  • Bentley AR; Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland.
  • Sung YJ; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri.
  • Winkler TW; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Ntalla I; Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
  • Schwander K; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri.
  • Kraja AT; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri.
  • Guo X; Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LA BioMed at Harbor-UCLA Medical Center, Torrance, California.
  • Franceschini N; Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina.
  • Cheng CY; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Sim X; Centre for Quantitative Medicine, Academic Medicine Research Institute, Ophthalmology & Visual Sciences Academic Clinical Program.
  • Vojinovic D; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Huffman JE; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
  • Musani SK; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Li C; Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
  • Feitosa MF; Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi.
  • Richard MA; Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, Georgia.
  • Noordam R; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri.
  • Aschard H; Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, Texas.
  • Bartz TM; Internal Medicine, Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
  • Bielak LF; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts.
  • Deng X; Centre de Bioinformatique, Biostatistique et Biologie Intégrative.
  • Dorajoo R; Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, Washington.
  • Lohman KK; Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
  • Manning AK; Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
  • Rankinen T; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore.
  • Smith AV; Public Health Sciences, Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, North Carolina.
  • Tajuddin SM; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts.
  • Evangelou E; Department of Medicine, Harvard Medical School, Boston, Massachusetts.
  • Graff M; Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana.
  • Alver M; Icelandic Heart Association, Kopavogur, Iceland.
  • Boissel M; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
  • Chai JF; Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
  • Chen X; Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.
  • Divers J; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece.
  • Gandin I; Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina.
  • Gao C; Estonian Genome Center, University of Tartu, Tartu, Estonia.
  • Goel A; CNRS UMR 8199, European Genomic Institute for Diabetes.
  • Hagemeijer Y; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
  • Harris SE; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden.
  • Hartwig FP; Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • He M; Department of Medical Sciences, University of Trieste, Trieste, Italy.
  • Horimoto ARVR; Molecular Genetics and Genomics Program, Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, North Carolina.
  • Hsu FC; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, United Kingdom.
  • Jackson AU; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, United Kingdom.
  • Kasturiratne A; Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Komulainen P; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh, United Kingdom.
  • Kühnel B; Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh, United Kingdom.
  • Laguzzi F; Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.
Am J Epidemiol ; 188(6): 1033-1054, 2019 06 01.
Article em En | MEDLINE | ID: mdl-30698716
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Consumo de Bebidas Alcoólicas / Lipídeos Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Epidemiol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Consumo de Bebidas Alcoólicas / Lipídeos Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Epidemiol Ano de publicação: 2019 Tipo de documento: Article