Admixture mapping analysis in the context of GWAS with GAW18 data.
Admixture mapping analysis in the context of GWAS with GAW18 data.
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DOI：
10.1186/1753-6561-8-s1-s3
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Zhao H
中科院分区：
文献类型：
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作者：
Chen M;Yang C;Li C;Hou L;Chen X;Zhao H
混合作图是一种疾病作图策略，用于识别混合群体中的疾病易感性变异，该变异是由于等位基因频率和疾病患病率不同的两个历史上分离的群体之间交配的结果。随着全基因组关联研究中生成的高密度基因分型数据的可用性不断增加，研究如何在全基因组关联研究的背景下应用混合作图以及如何在关联测试中调整混合是很有意义的。在本研究中，我们首先评估了 3 种不同的本地血统推断方法：LAMP、LAMP-LD 和 MULTIMIX。然后我们应用基于估计的当地血统的混合映射分析。最后，我们进行了根据当地血统进行调整的关联测试。
Admixture mapping is a disease-mapping strategy to identify disease susceptibility variants in an admixed population that is a result of mating between 2 historically separated populations differing in allele frequencies and disease prevalence. With the increasing availability of high-density genotyping data generated in genome-wide association studies, it is of interest to investigate how to apply admixture mapping in the context of the genome-wide association studies and how to adjust for admixture in association tests. In this study, we first evaluated 3 different local ancestry inference methods, LAMP, LAMP-LD, and MULTIMIX. Then we applied admixture mapping analysis based on estimated local ancestry. Finally, we performed association tests with adjustment for local ancestry.