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A time-dependent genome-wide SNP-SNP interaction analysis of chicken body weight

机译:鸡体重随时间变化的全基因组SNP-SNP相互作用分析

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The important property of the quantitative traits of model organisms is time-dependent. However, the methodology for investigating the genetic interaction network over time is still lacking. Our study aims to provide insights into the mechanistic basis of epistatic interactions affecting the phenotypes of model organisms. We performed an exhaustive genome-wide search for significant SNP-SNP interactions associated with male birds’ body weight (BW) (n?=?475) at multiple time points (day of hatch (BW0) and 1, 3, 5, and 7 weeks (BW1, BW3, BW5, and BW7)). Statistical analysis detected 67, four, and two significant SNP pairs associated with BW0, BW1, and BW3, respectively, with a significance threshold at 8.67?×?10??12 (Bonferroni-adjusted: 1%). Meanwhile, no significant SNP pairs associated with BW5 and BW7 were found. The SNP-SNP interaction networks of BW0, BW1, and BW3 were built and annotated. With strong annotated information and a strict significant threshold, SNP-SNP interactions underpinned the gene-gene interactions that might occur between chromosomes or within the same chromosome. Comparing and combing the networks, the results indicated that the genetic network for chicken body weight was dynamic and time-dependent.
机译:模式生物数量性状的重要特性是时间依赖性的。然而,仍然缺乏用于研究随时间推移的遗传相互作用网络的方法。我们的研究旨在为影响模型生物表型的上位相互作用的机理基础提供见解。我们进行了详尽的全基因组搜索,在多个时间点(孵化日(BW0),1、3、5和5)与雄禽体重(BW)(n?=?475)相关的重要SNP-SNP相互作用。 7周(BW1,BW3,BW5和BW7)。统计分析检测到分别与BW0,BW1和BW3相关的67、4和2个重要SNP对,其显着性阈值为8.67××10 10 12(Bonferroni调整后:1%)。同时,没有发现与BW5和BW7相关的重要SNP对。建立并注释了BW0,BW1和BW3的SNP-SNP交互网络。凭借强大的注释信息和严格的有效阈值,SNP-SNP相互作用巩固了可能在染色体之间或同一染色体内发生的基因-基因相互作用。对网络进行比较和梳理,结果表明,鸡体重的遗传网络是动态的且具有时间依赖性。

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