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Association of structural variation with cardiometabolic traits in Finns.
Chen, Lei; Abel, Haley J; Das, Indraniel; Larson, David E; Ganel, Liron; Kanchi, Krishna L; Regier, Allison A; Young, Erica P; Kang, Chul Joo; Scott, Alexandra J; Chiang, Colby; Wang, Xinxin; Lu, Shuangjia; Christ, Ryan; Service, Susan K; Chiang, Charleston W K; Havulinna, Aki S; Kuusisto, Johanna; Boehnke, Michael; Laakso, Markku; Palotie, Aarno; Ripatti, Samuli; Freimer, Nelson B; Locke, Adam E; Stitziel, Nathan O; Hall, Ira M.
Affiliation
  • Chen L; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Abel HJ; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Das I; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Larson DE; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ganel L; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Kanchi KL; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Regier AA; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Young EP; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Kang CJ; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Scott AJ; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Chiang C; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Wang X; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Lu S; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Christ R; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Service SK; Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA.
  • Chiang CWK; Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
  • Havulinna AS; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00014, Finland; Finnish Institute for Health and Welfare (THL), Helsinki 00271, Finland.
  • Kuusisto J; Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio 70210, Finland; Department of Medicine, Kuopio University Hospital, Kuopio 70210, Finland.
  • Boehnke M; Department of Biostatistics and Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA.
  • Laakso M; Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio 70210, Finland; Department of Medicine, Kuopio University Hospital, Kuopio 70210, Finland.
  • Palotie A; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00014, Finland; Analytical and Translational Genetics Unit (ATGU), Psychiatric & Neurodevelopmental Genetics Unit, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, MA 02114,
  • Ripatti S; Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00014, Finland; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland.
  • Freimer NB; Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA 90095, USA.
  • Locke AE; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Stitziel NO; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address:
  • Hall IM; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT 06510, USA. Electronic address: ira.ha
Am J Hum Genet ; 108(4): 583-596, 2021 04 01.
Article in En | MEDLINE | ID: mdl-33798444
ABSTRACT
The contribution of genome structural variation (SV) to quantitative traits associated with cardiometabolic diseases remains largely unknown. Here, we present the results of a study examining genetic association between SVs and cardiometabolic traits in the Finnish population. We used sensitive methods to identify and genotype 129,166 high-confidence SVs from deep whole-genome sequencing (WGS) data of 4,848 individuals. We tested the 64,572 common and low-frequency SVs for association with 116 quantitative traits and tested candidate associations using exome sequencing and array genotype data from an additional 15,205 individuals. We discovered 31 genome-wide significant associations at 15 loci, including 2 loci at which SVs have strong phenotypic effects (1) a deletion of the ALB promoter that is greatly enriched in the Finnish population and causes decreased serum albumin level in carriers (p = 1.47 × 10-54) and is also associated with increased levels of total cholesterol (p = 1.22 × 10-28) and 14 additional cholesterol-related traits, and (2) a multi-allelic copy number variant (CNV) at PDPR that is strongly associated with pyruvate (p = 4.81 × 10-21) and alanine (p = 6.14 × 10-12) levels and resides within a structurally complex genomic region that has accumulated many rearrangements over evolutionary time. We also confirmed six previously reported associations, including five led by stronger signals in single nucleotide variants (SNVs) and one linking recurrent HP gene deletion and cholesterol levels (p = 6.24 × 10-10), which was also found to be strongly associated with increased glycoprotein level (p = 3.53 × 10-35). Our study confirms that integrating SVs in trait-mapping studies will expand our knowledge of genetic factors underlying disease risk.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Genomic Structural Variation Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Country/Region as subject: Europa Language: En Journal: Am J Hum Genet Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Genomic Structural Variation Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Country/Region as subject: Europa Language: En Journal: Am J Hum Genet Year: 2021 Document type: Article Affiliation country: United States
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