Advanced DNA Laboratory, Central Forensic Science Laboratory, Chandigarh, India.
Jaipur National University, Jaipur, Rajasthan, India.
Ann Hum Biol. 2022 Feb;49(1):69-79. doi: 10.1080/03014460.2021.1995043. Epub 2022 May 23.
The present study was designed to explore the STR diversity and genomic history of the inhabitants of the most populous subdivision of the country. A set of 24 hypervariable autosomal STRs was used to estimate the genetic diversity within the studied population. A panel of 15 autosomal STRs, which is most common in the previously reported data sets, was used to estimate the genetic diversity between the studied population, and obtained unique relations were reported here.
The genetic diversity and polymorphism among 636 individuals of different ethnic groups, residing in Bareilly, Pilibhit, Shahjahanpur, Gorakhpur, Jhansi, and Varanasi regions of Uttar Pradesh, India, was investigated. This investigation was carried out via 24 autosomal STRs.
The 24 loci studied showed the highest value of combined power of discrimination (CPD = 1), combined power of exclusion (CPE = 0.99999999985), combined paternity index (CPI = 6.10 × 10) and lowest combined matching probability (CPM = 7.90 × 10).
The studied population showed genetic closeness with the population of Uttarakhand, the Jats of Delhi,the Jat Sikh (Punjab), and the population of Rajasthan. Among the tested loci, SE33 and Penta E were found to be most useful in terms of the highest discrimination power, lowest matching probability, the highest power of exclusion, and highest polymorphism information content for the Uttar Pradesh population .
本研究旨在探索该国人口最多的细分地区居民的 STR 多样性和基因组历史。使用一组 24 个高变体常染色体 STR 来估计研究人群内的遗传多样性。使用一组在之前报道的数据集中最常见的 15 个常染色体 STR 来估计研究人群之间的遗传多样性,并报告了这里获得的独特关系。
研究了印度北方邦 Bareilly、Pilibhit、Shahjahanpur、Gorakhpur、Jhansi 和 Varanasi 地区的不同族群的 636 个人的遗传多样性和多态性。这项研究是通过 24 个常染色体 STR 进行的。
研究的 24 个位点显示出最高的组合鉴别能力(CPD=1)、组合排除能力(CPE=0.99999999985)、组合父权指数(CPI=6.10×10)和最低的组合匹配概率(CPM=7.90×10)。
研究人群与北阿坎德邦、德里的 Jat、旁遮普的 Jat Sikh 和拉贾斯坦邦的人群具有遗传上的亲缘关系。在测试的位点中,SE33 和 Penta E 在北阿坎德邦人群中表现出最高的鉴别能力、最低的匹配概率、最高的排除能力和最高的多态信息含量。