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Genome‐Wide Association Study in 3,173 Outbred Rats Identifies Multiple Loci for Body Weight, Adiposity, and Fasting Glucose
- Chitre, Apurva S;
- Polesskaya, Oksana;
- Holl, Katie;
- Gao, Jianjun;
- Cheng, Riyan;
- Bimschleger, Hannah;
- Martinez, Angel Garcia;
- George, Tony;
- Gileta, Alexander F;
- Han, Wenyan;
- Horvath, Aidan;
- Hughson, Alesa;
- Ishiwari, Keita;
- King, Christopher P;
- Lamparelli, Alexander;
- Versaggi, Cassandra L;
- Martin, Connor;
- St. Pierre, Celine L;
- Tripi, Jordan A;
- Wang, Tengfei;
- Chen, Hao;
- Flagel, Shelly B;
- Meyer, Paul;
- Richards, Jerry;
- Robinson, Terry E;
- Palmer, Abraham A;
- Woods, Leah C Solberg
- et al.
Published Web Location
https://doi.org/10.1002/oby.22927Abstract
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.Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
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