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基于 imputation 的全基因组序列关联研究在 Sutai 猪中重新发现了腰椎数的缺失 QTL。

Imputation-Based Whole-Genome Sequence Association Study Rediscovered the Missing QTL for Lumbar Number in Sutai Pigs.

机构信息

State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, 330045, Nanchang, P.R. China.

College of Animal Science and Veterinary Medicine, Henan Agricultural University, 450002, Zhengzhou, P.R. China.

出版信息

Sci Rep. 2017 Apr 4;7(1):615. doi: 10.1038/s41598-017-00729-0.

DOI:10.1038/s41598-017-00729-0
PMID:28377593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5429657/
Abstract

Resequencing a number of individuals of various breeds as reference population and imputing the whole-genome sequences of individuals that were genotyped with medium-density chips to perform an association study is a very efficient strategy. Previously, we performed a genome-wide association study (GWAS) of lumbar number using 60K SNPs from the porcine Illumina chips in 418 Sutai pigs and did not detect any significant signals. Therefore, we imputed the whole-genome sequences of 418 Sutai individuals from 403 deeply resequenced reference individuals and performed association tests. We identified a quantitative trait locus (QTL) for lumbar number in SSC1 with a P value of 9.01E-18 that was close to the potential causative gene of NR6A1. The result of conditioning on the top SNP association test indicated that only one QTL was responsible for this trait in SSC1. The linkage disequilibrium (LD) drop test result for the condition of the reported potential causative mutation (c.575T > C missense mutation of NR6A1) indicated that this mutation was probably not the underlying mutation that affected lumbar number in our study. As the first trial of imputed whole-genome sequence GWAS in swine, this approach can be also powerful to investigate complex traits in pig like in human and cattle.

摘要

对多个不同品种的个体进行重测序作为参考群体,并对使用中等密度芯片进行基因分型的个体的全基因组序列进行内插,以进行关联研究,是一种非常有效的策略。此前,我们使用来自猪 Illumina 芯片的 60K SNP 在 418 头 Sutai 猪中进行了腰椎数量的全基因组关联研究(GWAS),并未检测到任何显著信号。因此,我们从 403 个深度重测序的参考个体中对 418 头 Sutai 个体的全基因组序列进行了内插,并进行了关联测试。我们在 SSC1 中发现了一个与腰椎数量相关的数量性状基因座(QTL),其 P 值为 9.01E-18,该区域接近 NR6A1 的潜在致病基因。对顶级 SNP 关联测试进行条件分析的结果表明,在 SSC1 中,只有一个 QTL 负责该性状。在报告的潜在致病突变(NR6A1 的 c.575T>C 错义突变)的条件下进行连锁不平衡(LD)下降测试的结果表明,该突变可能不是本研究中影响腰椎数量的潜在突变。作为猪中内插全基因组序列 GWAS 的首次尝试,这种方法也可以用于研究猪的复杂性状,就像在人类和牛中一样。

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