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美国联邦野牛群中的标记基因型、群体混合及其与体重、身高和相对体重的关联。

Marker genotypes and population admixture and their association with body weight, height and relative body mass in United States federal bison herds.

作者信息

Musani Solomon K, Halbert Natalie D, Redden David T, Allison David B, Derr James N

机构信息

Section on Statistical Genetics, Department of Biostatistics, University of Alabama, Alabama 35294, USA.

出版信息

Genetics. 2006 Oct;174(2):775-83. doi: 10.1534/genetics.106.057547. Epub 2006 Aug 3.

Abstract

Elucidating genetic influences on bison growth and body composition is of interest, not only because bison are important for historical, cultural, and agricultural reasons, but also because their unusual population history makes them valuable models for finding influential loci in both domestic cattle and humans. We tested for trait loci associated with body weight, height, and bison mass index (BMI) while controlling for estimated ancestry to reduce potential confounding effects due to population admixture in 1316 bison sampled from four U.S. herds. We used 60 microsatellite markers to model each phenotype as a function of herd, sex, age, marker genotypes, and individual ancestry estimates. Statistical significance for genotype and its interaction with ancestry was evaluated using the adaptive false discovery rate. Of the four herds, two appeared to be admixed and two were nonadmixed. Although none of the main effects of the loci were significant, estimated ancestry and its interaction with marker loci were significantly associated with the phenotypes, illustrating the importance of including ancestry in the models and the dependence of genotype-phenotype associations on background ancestry. Individual loci contributed approximately 2.0% of variation in weight, height, and BMI, which confirms the utility and potential importance of adjusting for population stratification.

摘要

阐明基因对野牛生长和身体组成的影响备受关注,这不仅是因为野牛在历史、文化和农业方面具有重要意义,还因为它们独特的种群历史使其成为在家牛和人类中寻找有影响力基因座的宝贵模型。我们在对来自美国四个牛群的1316头野牛进行采样时,在控制估计祖先的情况下,测试了与体重、身高和野牛体重指数(BMI)相关的性状基因座,以减少由于种群混合导致的潜在混杂效应。我们使用60个微卫星标记将每种表型建模为牛群、性别、年龄、标记基因型和个体祖先估计值的函数。使用自适应错误发现率评估基因型及其与祖先的相互作用的统计显著性。在这四个牛群中,有两个似乎是混合的,两个是非混合的。虽然基因座的主效应均不显著,但估计的祖先及其与标记基因座的相互作用与表型显著相关,这说明了在模型中纳入祖先的重要性以及基因型-表型关联对背景祖先的依赖性。单个基因座对体重、身高和BMI变异的贡献约为2.0%,这证实了调整种群分层的实用性和潜在重要性。

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本文引用的文献

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Am J Hum Genet. 2004 May;74(5):965-78. doi: 10.1086/420855. Epub 2004 Apr 14.

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