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用于复杂的五源混合南非混血人群的一组祖先信息标记。

A panel of ancestry informative markers for the complex five-way admixed South African coloured population.

作者信息

Daya Michelle, van der Merwe Lize, Galal Ushma, Möller Marlo, Salie Muneeb, Chimusa Emile R, Galanter Joshua M, van Helden Paul D, Henn Brenna M, Gignoux Chris R, Hoal Eileen

机构信息

Molecular Biology and Human Genetics, MRC Centre for Molecular and Cellular Biology and the DST/NRF Centre of Excellence for Biomedical TB Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa.

Molecular Biology and Human Genetics, MRC Centre for Molecular and Cellular Biology and the DST/NRF Centre of Excellence for Biomedical TB Research, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, South Africa ; Biostatistics Unit, Medical Research Council, Tygerberg, South Africa ; Statistics Department, University of Western Cape, Cape Town, South Africa.

出版信息

PLoS One. 2013 Dec 20;8(12):e82224. doi: 10.1371/journal.pone.0082224. eCollection 2013.

Abstract

Admixture is a well known confounder in genetic association studies. If genome-wide data is not available, as would be the case for candidate gene studies, ancestry informative markers (AIMs) are required in order to adjust for admixture. The predominant population group in the Western Cape, South Africa, is the admixed group known as the South African Coloured (SAC). A small set of AIMs that is optimized to distinguish between the five source populations of this population (African San, African non-San, European, South Asian, and East Asian) will enable researchers to cost-effectively reduce false-positive findings resulting from ignoring admixture in genetic association studies of the population. Using genome-wide data to find SNPs with large allele frequency differences between the source populations of the SAC, as quantified by Rosenberg et. al's In-statistic, we developed a panel of AIMs by experimenting with various selection strategies. Subsets of different sizes were evaluated by measuring the correlation between ancestry proportions estimated by each AIM subset with ancestry proportions estimated using genome-wide data. We show that a panel of 96 AIMs can be used to assess ancestry proportions and to adjust for the confounding effect of the complex five-way admixture that occurred in the South African Coloured population.

摘要

混合血统是基因关联研究中一个众所周知的混杂因素。如果没有全基因组数据,比如在候选基因研究中那样,就需要使用祖先信息标记(AIMs)来校正混合血统的影响。南非西开普省的主要人群是被称为南非有色人种(SAC)的混合群体。一组经过优化以区分该人群五个来源群体(非洲桑人、非洲非桑人、欧洲人、南亚人和东亚人)的少量AIMs,将使研究人员能够经济高效地减少在该人群基因关联研究中因忽略混合血统而导致的假阳性结果。利用全基因组数据来寻找SAC来源群体之间等位基因频率差异大的单核苷酸多态性(SNPs),如Rosenberg等人的In统计量所量化的那样,我们通过试验各种选择策略开发了一组AIMs。通过测量每个AIM子集估计的祖先比例与使用全基因组数据估计的祖先比例之间的相关性,对不同大小的子集进行了评估。我们表明,可以使用一组96个AIMs来评估祖先比例,并校正南非有色人种中发生的复杂五源混合血统的混杂效应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/535e/3869660/b937183f626f/pone.0082224.g001.jpg

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