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比较纽约市一个多民族群体中的基因血统与自我报告的种族/族裔。

Comparing genetic ancestry and self-reported race/ethnicity in a multiethnic population in New York City.

作者信息

Lee Yin Leng, Teitelbaum Susan, Wolff Mary S, Wetmur James G, Chen Jia

机构信息

Department of Preventive Medicine, Mount Sinai School of Medicine, New York, NY 10029, USA.

出版信息

J Genet. 2010 Dec;89(4):417-23. doi: 10.1007/s12041-010-0060-8.

Abstract

Self-reported race/ethnicity is frequently used in epidemiological studies to assess an individual's background origin. However, in admixed populations such as Hispanic, self-reported race/ethnicity may not accurately represent them genetically because they are admixed with European, African and Native American ancestry. We estimated the proportions of genetic admixture in an ethnically diverse population of 396 mothers and 188 of their children with 35 ancestry informative markers (AIMs) using the STRUCTURE version 2.2 program. The majority of the markers showed significant deviation from Hardy-Weinberg equilibrium in our study population. In mothers self-identified as Black and White, the imputed ancestry proportions were 77.6% African and 75.1% European respectively, while the racial composition among self-identified Hispanics was 29.2% European, 26.0% African, and 44.8% Native American. We also investigated the utility of AIMs by showing the improved fitness of models in paraoxanase-1 genotype-phenotype associations after incorporating AIMs; however, the improvement was moderate at best. In summary, a minimal set of 35 AIMs is sufficient to detect population stratification and estimate the proportion of individual genetic admixture; however, the utility of these markers remains questionable.

摘要

在流行病学研究中,自我报告的种族/族裔常被用于评估个体的背景来源。然而,在像西班牙裔这样的混合人群中,自我报告的种族/族裔可能无法准确地从基因层面代表他们,因为他们混合了欧洲、非洲和美洲原住民的血统。我们使用STRUCTURE 2.2版本程序,通过35个祖先信息标记(AIMs),对396名母亲及其188名子女组成的种族多样化人群中的基因混合比例进行了估计。在我们的研究人群中,大多数标记显示出与哈迪-温伯格平衡存在显著偏差。自我认定为黑人及白人的母亲中,推断出的祖先比例分别为77.6%非洲血统和75.1%欧洲血统,而自我认定为西班牙裔的人群中,种族构成是29.2%欧洲血统、26.0%非洲血统和44.8%美洲原住民血统。我们还通过展示纳入AIMs后对氧磷酶-1基因型-表型关联模型拟合度的改善,来研究AIMs的效用;然而,这种改善充其量只是中等程度。总之,一组最少35个AIMs足以检测人群分层并估计个体基因混合比例;然而,这些标记的效用仍值得怀疑。

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