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利用全基因组单核苷酸多态性(SNP)阵列分析东亚人群的遗传亚结构。

Analysis of East Asia genetic substructure using genome-wide SNP arrays.

作者信息

Tian Chao, Kosoy Roman, Lee Annette, Ransom Michael, Belmont John W, Gregersen Peter K, Seldin Michael F

机构信息

Department of Biochemistry, Rowe Program in Human Genetics, University of California Davis, Davis, California, United States of America.

出版信息

PLoS One. 2008;3(12):e3862. doi: 10.1371/journal.pone.0003862. Epub 2008 Dec 5.

Abstract

Accounting for population genetic substructure is important in reducing type 1 errors in genetic studies of complex disease. As efforts to understand complex genetic disease are expanded to different continental populations the understanding of genetic substructure within these continents will be useful in design and execution of association tests. In this study, population differentiation (Fst) and Principal Components Analyses (PCA) are examined using >200 K genotypes from multiple populations of East Asian ancestry. The population groups included those from the Human Genome Diversity Panel [Cambodian, Yi, Daur, Mongolian, Lahu, Dai, Hezhen, Miaozu, Naxi, Oroqen, She, Tu, Tujia, Naxi, Xibo, and Yakut], HapMap [ Han Chinese (CHB) and Japanese (JPT)], and East Asian or East Asian American subjects of Vietnamese, Korean, Filipino and Chinese ancestry. Paired Fst (Wei and Cockerham) showed close relationships between CHB and several large East Asian population groups (CHB/Korean, 0.0019; CHB/JPT, 00651; CHB/Vietnamese, 0.0065) with larger separation with Filipino (CHB/Filipino, 0.014). Low levels of differentiation were also observed between Dai and Vietnamese (0.0045) and between Vietnamese and Cambodian (0.0062). Similarly, small Fst's were observed among different presumed Han Chinese populations originating in different regions of mainland of China and Taiwan (Fst's <0.0025 with CHB). For PCA, the first two PC's showed a pattern of relationships that closely followed the geographic distribution of the different East Asian populations. PCA showed substructure both between different East Asian groups and within the Han Chinese population. These studies have also identified a subset of East Asian substructure ancestry informative markers (EASTASAIMS) that may be useful for future complex genetic disease association studies in reducing type 1 errors and in identifying homogeneous groups that may increase the power of such studies.

摘要

在复杂疾病的基因研究中,考虑群体遗传亚结构对于减少I型错误很重要。随着了解复杂基因疾病的努力扩展到不同的大陆群体,了解这些大陆内部的遗传亚结构将有助于关联测试的设计和实施。在本研究中,使用来自多个东亚血统群体的超过20万个基因型对群体分化(Fst)和主成分分析(PCA)进行了研究。群体包括来自人类基因组多样性小组的群体[柬埔寨人、彝族、达斡尔族、蒙古族、拉祜族、傣族、赫哲族、苗族、纳西族、鄂伦春族、畲族、土族、土家族、纳西族、锡伯族和雅库特族]、国际人类基因组单体型图计划(HapMap)的群体[汉族(CHB)和日本人(JPT)],以及越南、韩国、菲律宾和中国血统的东亚或东亚裔美国人。配对Fst(Wei和Cockerham方法)显示CHB与几个大型东亚群体关系密切(CHB/韩国人,0.0019;CHB/JPT,0.00651;CHB/越南人,0.0065),与菲律宾人分离度更大(CHB/菲律宾人,0.014)。傣族和越南人之间(0.0045)以及越南人和柬埔寨人之间(0.0062)也观察到低水平的分化。同样,在源自中国大陆和台湾不同地区的不同假定汉族群体中观察到较小的Fst值(与CHB的Fst值<0.0025)。对于PCA,前两个主成分显示出的关系模式紧密遵循不同东亚群体的地理分布。PCA在不同东亚群体之间以及汉族群体内部均显示出亚结构。这些研究还确定了一组东亚亚结构祖先信息标记(EASTASAIMS),这可能有助于未来复杂基因疾病关联研究减少I型错误,并识别可能提高此类研究效能的同质群体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d6/2587696/b0175c6b4f08/pone.0003862.g001.jpg

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