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Application of geographic population structure (GPS) algorithm for biogeographical analyses of populations with complex ancestries: a case study of South Asians from 1000 genomes project

机译:地理人口结构(GPS)算法在复杂祖先人口的生物地理分析中的应用:以1000个基因组计划中的南亚人为例

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摘要

BackgroundThe utilization of biological data to infer the geographic origins of human populations has been a long standing quest for biologists and anthropologists. Several biogeographical analysis tools have been developed to infer the geographical origins of human populations utilizing genetic data. However due to the inherent complexity of genetic information these approaches are prone to misinterpretations. The Geographic Population Structure (GPS) algorithm is an admixture based tool for biogeographical analyses and has been employed for the geo-localization of various populations worldwide. Here we sought to dissect its sensitivity and accuracy for localizing highly admixed groups. Given the complex history of population dispersal and gene flow in the Indian subcontinent, we have employed the GPS tool to localize five South Asian populations, Punjabi, Gujarati, Tamil, Telugu and Bengali from the 1000 Genomes project, some of whom were recent migrants to USA and UK, using populations from the Indian subcontinent available in Human Genome Diversity Panel (HGDP) and those previously described as reference.
机译:背景技术利用生物学数据来推断人类的地理起源一直是生物学家和人类学家的长期追求。已经开发了几种生物地理分析工具来利用遗传数据推断人类的地理起源。但是,由于遗传信息的内在复杂性,这些方法容易产生误解。地理人口结构(GPS)算法是一种用于生物地理分析的基于混合物的工具,已被用于全球范围内各种人口的地理定位。在这里,我们试图剖析其对本地化高度混合群体的敏感性和准确性。考虑到印度次大陆人口散布和基因流动的复杂历史,我们采用了GPS工具来定位五个南亚人口,即1000个基因组计划中的旁遮普,古吉拉特语,泰米尔语,泰卢固语和孟加拉语,其中一些是最近向美国和英国,使用人类基因组多样性专家组(HGDP)中印度次大陆的种群,以及先前描述的种群作为参考。

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