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Admixture in Mexico City: implications for admixture mapping of Type 2 diabetes genetic risk factors.

机译:墨西哥城的混合物:对2型糖尿病遗传危险因素的混合物作图的影响。

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Admixture mapping is a recently developed method for identifying genetic risk factors involved in complex traits or diseases showing prevalence differences between major continental groups. Type 2 diabetes (T2D) is at least twice as prevalent in Native American populations as in populations of European ancestry, so admixture mapping is well suited to study the genetic basis of this complex disease. We have characterized the admixture proportions in a sample of 286 unrelated T2D patients and 275 controls from Mexico City and we discuss the implications of the results for admixture mapping studies. Admixture proportions were estimated using 69 autosomal ancestry-informative markers (AIMs). Maternal and paternal contributions were estimated from geographically informative mtDNA and Y-specific polymorphisms. The average proportions of Native American, European and, West African admixture were estimated as 65, 30, and 5%, respectively. The contributions of Native American ancestors to maternal and paternal lineages were estimated as 90 and 40%, respectively. In a logistic model with higher educational status as dependent variable, the odds ratio for higher educational status associated with an increase from 0 to 1 in European admixture proportions was 9.4 (95%, credible interval 3.8-22.6). This association of socioeconomic status with individual admixture proportion shows that genetic stratification in this population is paralleled, and possibly maintained, by socioeconomic stratification. The effective number of generations back to unadmixed ancestors was 6.7 (95% CI 5.7-8.0), from which we can estimate that genome-wide admixture mapping will require typing about 1,400 evenly distributed AIMs to localize genes underlying disease risk between populations of European and Native American ancestry. Sample sizes of about 2,000 cases will be required to detect any locus that contributes an ancestry risk ratio of at least 1.5.
机译:混合物作图法是一种最近开发的方法,用于鉴定与复杂特征或疾病有关的遗传危险因素,这些特征或疾病显示出主要大陆群体之间的患病率差异。 2型糖尿病(T2D)在美国原住民人群中的流行率至少是欧洲血统人群中的两倍,因此混合映射非常适合研究这种复杂疾病的遗传基础。我们已经对来自墨西哥城的286名无关的T2D患者和275名对照的样本中的混合物比例进行了表征,并讨论了结果对混合物作图研究的影响。使用69种常染色体祖先信息标记(AIM)估计混合物的比例。孕妇和父亲的贡献是根据具有地理信息的mtDNA和Y特异性多态性估算的。据估计,美洲原住民,欧洲和西非外加剂的平均比例分别为65%,30%和5%。据估计,美国原住民祖先对母系和父系的贡献分别为90%和40%。在以受教育程度为因变量的逻辑模型中,受教育程度与欧洲混合比从0增加到1相关的比值比为9.4(95%,可信区间3.8-22.6)。社会经济地位与个体掺混物比例之间的这种联系表明,该人群的遗传分层与社会经济分层是平行的,并且有可能得以维持。返回到非混合祖先的有效世代数为6.7(95%CI 5.7-8.0),由此我们可以估计,全基因组混合混合物作图将需要输入大约1,400个均匀分布的AIM,以定位欧洲和欧洲人群之间疾病风险的潜在基因。美国原住民血统。将需要大约2,000个病例的样本量才能检测出任何构成祖先风险比至少为1.5的基因座。

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