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Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences.
Spracklen, Cassandra N; Iyengar, Apoorva K; Vadlamudi, Swarooparani; Raulerson, Chelsea K; Jackson, Anne U; Brotman, Sarah M; Wu, Ying; Cannon, Maren E; Davis, James P; Crain, Aaron T; Currin, Kevin W; Perrin, Hannah J; Narisu, Narisu; Stringham, Heather M; Fuchsberger, Christian; Locke, Adam E; Welch, Ryan P; Kuusisto, Johanna K; Pajukanta, Päivi; Scott, Laura J; Li, Yun; Collins, Francis S; Boehnke, Michael; Laakso, Markku; Mohlke, Karen L.
Affiliation
  • Spracklen CN; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Iyengar AK; Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Vadlamudi S; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Raulerson CK; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Jackson AU; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Brotman SM; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Wu Y; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Cannon ME; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Davis JP; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Crain AT; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Currin KW; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Perrin HJ; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Narisu N; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Stringham HM; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Fuchsberger C; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Locke AE; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Welch RP; Center for Biomedicine, European Academy of Bolzano/Bozen, University of Lübeck, Bolzano/Bozen, Italy.
  • Kuusisto JK; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Pajukanta P; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Scott LJ; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Li Y; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
  • Collins FS; Department of Human Genetics, University of California, Los Angeles, California, United States of America.
  • Boehnke M; Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Laakso M; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
  • Mohlke KL; Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, United States of America.
PLoS Genet ; 16(9): e1009019, 2020 09.
Article in En | MEDLINE | ID: mdl-32915782
ABSTRACT
Loci identified in genome-wide association studies (GWAS) can include multiple distinct association signals. We sought to identify the molecular basis of multiple association signals for adiponectin, a hormone involved in glucose regulation secreted almost exclusively from adipose tissue, identified in the Metabolic Syndrome in Men (METSIM) study. With GWAS data for 9,262 men, four loci were significantly associated with adiponectin ADIPOQ, CDH13, IRS1, and PBRM1. We performed stepwise conditional analyses to identify distinct association signals, a subset of which are also nearly independent (lead variant pairwise r2<0.01). Two loci exhibited allelic heterogeneity, ADIPOQ and CDH13. Of seven association signals at the ADIPOQ locus, two signals colocalized with adipose tissue expression quantitative trait loci (eQTLs) for three transcripts trait-increasing alleles at one signal were associated with increased ADIPOQ and LINC02043, while trait-increasing alleles at the other signal were associated with decreased ADIPOQ-AS1. In reporter assays, adiponectin-increasing alleles at two signals showed corresponding directions of effect on transcriptional activity. Putative mechanisms for the seven ADIPOQ signals include a missense variant (ADIPOQ G90S), a splice variant, a promoter variant, and four enhancer variants. Of two association signals at the CDH13 locus, the first signal consisted of promoter variants, including the lead adipose tissue eQTL variant for CDH13, while a second signal included a distal intron 1 enhancer variant that showed ~2-fold allelic differences in transcriptional reporter activity. Fine-mapping and experimental validation demonstrated that multiple, distinct association signals at these loci can influence multiple transcripts through multiple molecular mechanisms.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adipose Tissue / Adiponectin Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2020 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adipose Tissue / Adiponectin Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: PLoS Genet Journal subject: GENETICA Year: 2020 Type: Article Affiliation country: United States