Center for Advanced Neurological Research, KS Hegde Medical Academy, Nitte University, Mangaluru, India.
Indian J Med Res. 2017 Jun;145(6):753-757. doi: 10.4103/ijmr.IJMR_1435_15.
BACKGROUND & OBJECTIVES: Indian data have been largely missing from genome-wide databases that provide information on genetic variations in different populations. This hinders association studies for complex disorders in India. This study was aimed to determine whether the complex genetic structure and endogamy among Indians could potentially influence the design of case-control studies for autoimmune disorders in the south Indian population.
A total of 12 single nucleotide variations (SNVs) related to genes associated with autoimmune disorders were genotyped in 370 healthy individuals belonging to six different caste groups in southern India. Allele frequencies were estimated; genetic divergence and phylogenetic relationship within the various caste groups and other HapMap populations were ascertained.
Allele frequencies for all genotyped SNVs did not vary significantly among the different groups studied. Wright's FSTwas 0.001 per cent among study population and 0.38 per cent when compared with Gujarati in Houston (GIH) population on HapMap data. The analysis of molecular variance results showed a 97 per cent variation attributable to differences within the study population and <1 per cent variation due to differences between castes. Phylogenetic analysis showed a separation of Dravidian population from other HapMap populations and particularly from GIH population.
INTERPRETATION & CONCLUSIONS: Despite the complex genetic origins of the Indian population, our study indicated a low level of genetic differentiation among Dravidian language-speaking people of south India. Case-control studies of association among Dravidians of south India may not require stratification based on language and caste.
在提供不同人群遗传变异信息的全基因组数据库中,印度数据在很大程度上缺失。这阻碍了印度复杂疾病的关联研究。本研究旨在确定印度人复杂的遗传结构和同宗婚姻是否可能影响印度南部人群自身免疫性疾病病例对照研究的设计。
对来自印度南部 6 个不同种姓群体的 370 名健康个体的 12 个与自身免疫性疾病相关的基因单核苷酸变异(SNV)进行了基因分型。估计了等位基因频率;确定了不同种姓群体内部以及与其他 HapMap 群体之间的遗传差异和系统发育关系。
在所研究的不同群体中,所有基因分型 SNV 的等位基因频率没有显著差异。Wright's FST 在研究人群中为 0.001%,而与 HapMap 数据中休斯顿的古吉拉特人(GIH)群体相比为 0.38%。分析分子方差的结果表明,97%的变异归因于研究人群内部的差异,而由于种姓之间的差异只有<1%。系统发育分析显示,达罗毗荼人群与其他 HapMap 人群,特别是与 GIH 人群分离。
尽管印度人口具有复杂的遗传起源,但我们的研究表明,印度南部讲达罗毗荼语人群之间的遗传分化程度较低。对印度南部达罗毗荼人的病例对照研究可能不需要根据语言和种姓进行分层。