4.7 Article

Genetic Fine-Mapping and Identification of Candidate Genes and Variants for Adiposity Traits in Outbred Rats

期刊

OBESITY
卷 26, 期 1, 页码 213-222

出版社

WILEY
DOI: 10.1002/oby.22075

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资金

  1. Individualized Medicine Institute at the Medical College of Wisconsin
  2. NIH Office of the Director award [K01ES025435]
  3. [R01 DK-088975]
  4. [R01 DK-106386]
  5. [R01 GM-104125]
  6. [R01 GM 070683]
  7. [R01 CA193343]
  8. NATIONAL CANCER INSTITUTE [R01CA193343] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES [R01DK106386, R01DK088975] Funding Source: NIH RePORTER
  10. NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES [K01ES025435] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM104125, R01GM070683, T32GM067553] Funding Source: NIH RePORTER

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ObjectiveObesity is a major risk factor for multiple diseases and is in part heritable, yet the majority of causative genetic variants that drive excessive adiposity remain unknown. Here, outbred heterogeneous stock (HS) rats were used in controlled environmental conditions to fine-map novel genetic modifiers of adiposity. MethodsBody weight and visceral fat pad weights were measured in male HS rats that were also genotyped genome-wide. Quantitative trait loci (QTL) were identified by genome-wide association of imputed single-nucleotide polymorphism (SNP) genotypes using a linear mixed effect model that accounts for unequal relatedness between the HS rats. Candidate genes were assessed by protein modeling and mediation analysis of expression for coding and noncoding variants, respectively. ResultsHS rats exhibited large variation in adiposity traits, which were highly heritable and correlated with metabolic health. Fine-mapping of fat pad weight and body weight revealed three QTL and prioritized five candidate genes. Fat pad weight was associated with missense SNPs in Adcy3 and Prlhr and altered expression of Krtcap3 and Slc30a3, whereas Grid2 was identified as a candidate within the body weight locus. ConclusionsThese data demonstrate the power of HS rats for identification of known and novel heritable mediators of obesity traits.

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