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高通量分析猪体型和器官重量的上位性。

High throughput analyses of epistasis for swine body dimensions and organ weights.

机构信息

MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK.

出版信息

Anim Genet. 2011 Feb;42(1):15-21. doi: 10.1111/j.1365-2052.2010.02082.x.

Abstract

High throughput analyses were performed to detect epistatic QTL in 17 body dimension and organ weight traits from a large F(2) pig population derived from a White Duroc and Erhualian intercross. The analyses used a nested test framework to handle multiple tests and a combined search algorithm to map epistatic QTL with empirical genome-wide thresholds derived via prior permutation. Alternative statistical models (e.g. including vs. excluding carcass weight as a covariate) were tested to develop an in-depth understanding of the role of epistasis in these kinds of traits. Epistasis signals were detected in only two or three traits under each statistical model studied. The interaction component of each pair of epistatic QTL explained a small proportion (0.7 to 2.1%) of the phenotypic variance in general. About half of the detected epistatic QTL pairs involved one of the two major QTL on porcine chromosomes 7 and 4. In those traits, the Erhualian allele consistently increased the phenotypes for the chromosome 7 QTL but decreased them for the chromosome 4 QTL. Models including carcass weight as covariate detected epistasis in body dimension traits whereas those excluding carcass weight found epistasis in organ weight traits. In addition, the epistasis results suggested that a QTL on chromosome 14 could be important for a number of organ weight traits. Using the high-throughput analysis tool to examine different statistical models was essential for the generation of a complete picture of epistasis in a whole category of traits.

摘要

高通量分析用于检测来自大白杜洛克和二花脸杂交群体的 17 个体尺和器官重量性状的上位性 QTL。分析使用嵌套测试框架来处理多个测试,并使用组合搜索算法通过先前的置换来映射上位性 QTL 与经验性全基因组阈值。测试了替代的统计模型(例如,包括或不包括胴体重量作为协变量),以深入了解这些性状中上位性的作用。在每种研究的统计模型下,仅检测到两个或三个性状中的上位性信号。每个上位性 QTL 对的互作分量仅解释表型方差的一小部分(0.7%至 2.1%)。大约一半检测到的上位性 QTL 对涉及猪染色体 7 和 4 上的两个主要 QTL 之一。在这些性状中,二花脸等位基因一致增加了染色体 7 QTL 的表型,但降低了染色体 4 QTL 的表型。包括胴体重量作为协变量的模型检测到体尺性状中的上位性,而排除胴体重量的模型则在器官重量性状中检测到上位性。此外,上位性结果表明,染色体 14 上的一个 QTL 可能对许多器官重量性状很重要。使用高通量分析工具检查不同的统计模型对于生成整个性状类别上位性的完整图景至关重要。

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