Journal article
Evaluation of Candidate Gene Effects for Beef Backfat via Bayesian Model Selection
Genetica, Vol.125(1), pp.103-113
09/2005
Handle:
https://hdl.handle.net/2376/105556
PMID: 16175458
Abstract
Candidate gene approaches provide tools for exploring and localizing causative genes affecting quantitative traits and the underlying variation may be better understood by determining the relative magnitudes of effects of their polymorphisms. Diacyglycerol O-acyltransferase 1 (DGAT1), fatty acid binding protein (heart) 3 (FABP3), growth hormone 1 (GH1), leptin (LEP) and thyroglobulin (TG) have been previously identified as genes contributing to genetic control of subcutaneous fat thickness (SFT) in beef cattle. In the present research, Bayesian model selection was used to evaluate effects of these five candidate genes by comparing competing non-nested models and treating candidate gene effects as either random or fixed. The analyses were implemented in SAS to simplify the programming and computation. Phenotypic data were gathered from a F2 population of Wagyu × Limousin cattle. The five candidate genes had significant but varied effects on SFT in this population. Bayesian model selection identified the DGAT1 model as the one with the greatest model probability, whether candidate gene effects were considered random or fixed, and DGAT1 had the greatest additive effect on SFT. The SAS codes developed in the study are freely available and can be downloaded at: http://www.ansci.wsu.edu/programs/.
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Details
- Title
- Evaluation of Candidate Gene Effects for Beef Backfat via Bayesian Model Selection
- Creators
- Xiao-Lin Wu - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USAMichael MacNeil - Fort Keogh Livestock and Range Research Laboratory USDA-ARS Miles City MT 59301 USASachinadan De - Animal Biotechnology Center National Dairy Research Institute 132001 Karnal Haryana IndiaQian-Jun Xiao - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USAJennifer Michal - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USACharles Gaskins - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USAJerry Reeves - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USAJan Busboom - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USARaymond Wright Jr - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USAZhihua Jiang - Department of Animal Sciences Washington State University Pullman WA 99164-6351 USA
- Publication Details
- Genetica, Vol.125(1), pp.103-113
- Academic Unit
- Animal Sciences, Department of
- Publisher
- Kluwer Academic Publishers; Dordrecht
- Identifiers
- 99900547064501842
- Language
- English
- Resource Type
- Journal article