Sharma Aditi, Lee Jun Seop, Dang Chang Gwon, Sudrajad Pita, Kim Hyeong Cheol, Yeon Seong Heum, Kang Hee Seol, Lee Seung-Hwan
Department of Animal Science and Biotechnology, Chung Nam National University, Daejeon 305-764, Korea .
Asian-Australas J Anim Sci. 2015 Oct;28(10):1371-9. doi: 10.5713/ajas.14.0715.
Undoubtedly livestock is one of the major contributors to the economy of any country. The economic value of livestock includes meat, dairy products, fiber, fertilizer etc. Understanding and identifying the associations of quantitative trait loci (QTL) with the economically important traits is believed to substantially benefit the livestock industry. The past two decades have seen a flurry of interest in mapping the QTL associated with traits of economic importance on the genome. With the availability of single nucleotide polymorphism chip of various densities it is possible to identify regions, QTL and genes on the genome that explain the association and its effect on the phenotype under consideration. Remarkable advancement has been seen in genome wide association studies (GWAS) since its inception till the present day. In this review we describe the progress and challenges of GWAS in various livestock species.
毫无疑问,畜牧业是任何国家经济的主要贡献者之一。牲畜的经济价值包括肉类、乳制品、纤维、肥料等。了解和识别数量性状基因座(QTL)与经济重要性状之间的关联,被认为将极大地造福畜牧业。在过去二十年中,人们对在基因组上绘制与经济重要性状相关的QTL产生了浓厚兴趣。随着各种密度的单核苷酸多态性芯片的出现,有可能识别基因组上解释这种关联及其对所考虑表型影响的区域、QTL和基因。自全基因组关联研究(GWAS)开展以来,直至今日,已经取得了显著进展。在这篇综述中,我们描述了GWAS在各种牲畜物种中的进展和挑战。