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Genome-Wide Association Study in 3,173 Outbred Rats Identifies Multiple Loci for Body Weight, Adiposity, and Fasting Glucose

  • Apurva S. Chitre
  • , Oksana Polesskaya
  • , Katie Holl
  • , Jianjun Gao
  • , Riyan Cheng
  • , Hannah Bimschleger
  • , Angel Garcia Martinez
  • , Tony George
  • , Alexander F. Gileta
  • , Wenyan Han
  • , Aidan Horvath
  • , Alesa Hughson
  • , Keita Ishiwari
  • , Christopher P. King
  • , Alexander Lamparelli
  • , Cassandra L. Versaggi
  • , Connor Martin
  • , Celine L. St. Pierre
  • , Jordan A. Tripi
  • , Tengfei Wang
  • Hao Chen, Shelly B. Flagel, Paul Meyer, Jerry Richards, Terry E. Robinson, Abraham A. Palmer, Leah C. Solberg Woods
  • University of California at San Diego
  • Medical College of Wisconsin
  • University of Tennessee Health Science Center
  • SUNY Buffalo
  • The University of Chicago
  • University of Michigan, Ann Arbor
  • Washington University St. Louis
  • Wake Forest University

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Objective: Obesity is influenced by genetic and environmental factors. Despite the success of human genome-wide association studies, the specific genes that confer obesity remain largely unknown. The objective of this study was to use outbred rats to identify the genetic loci underlying obesity and related morphometric and metabolic traits. Methods: This study measured obesity-relevant traits, including body weight, body length, BMI, fasting glucose, and retroperitoneal, epididymal, and parametrial fat pad weight in 3,173 male and female adult N/NIH heterogeneous stock (HS) rats across three institutions, providing data for the largest rat genome-wide association study to date. Genetic loci were identified using a linear mixed model to account for the complex family relationships of the HS and using covariates to account for differences among the three phenotyping centers. Results: This study identified 32 independent loci, several of which contained only a single gene (e.g., Epha5, Nrg1, Klhl14) or obvious candidate genes (e.g., Adcy3, Prlhr). There were strong phenotypic and genetic correlations among obesity-related traits, and there was extensive pleiotropy at individual loci. Conclusions: This study demonstrates the utility of HS rats for investigating the genetics of obesity-related traits across institutions and identify several candidate genes for future functional testing.

Original languageEnglish
Pages (from-to)1964-1973
Number of pages10
JournalObesity
Volume28
Issue number10
DOIs
StatePublished - Oct 1 2020

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