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印度马哈拉施特拉邦丹加尔人一个种姓群体的变异模式。

Patterns of variation in a caste-cluster of Dhangars of Maharashtra, India.

作者信息

Reddy B M, Demarchi D A, Malhotra K C

机构信息

Anthropology and Human Genetics Unit, Indian Statistical Institute, Calcutta.

出版信息

Coll Antropol. 2001 Dec;25(2):425-42.

Abstract

We study patterns of variation among the 20 endogamous groups of Dhangars, a caste-cluster from Maharashtra State of India, who are semi-nomadic shepherds and cattle herders. To understand patterns of variation, we subjected the data on fourteen anthropometric measurements of about 2,500 adult males and data on 6 genetic markers, published among 13 of the 20 Dhangar castes, to R-matrix analysis, Harpending and Ward model of regression of heterozygosity on the distance from centroid of the populations, spatial autocorrelation analysis and Mantel statistics of matrix correspondence of the distances--geographic, anthropometric and genetic. Results of multiple regression analysis suggest a high degree of association between allele frequencies and the geographic longitude and latitude; R2 value suggests that about 70% of the variance in RH7 and ACP can be assigned to geographic distribution of groups. In case of anthropometry, this association with body size is found to be even stronger. Results of spatial autocorrelation analysis, as suggested by Moran's (I), are somewhat complementary to those based on multiple regression analysis. Mantel test indicates significant association between anthropometric distances and the geographic distances, not between geographic and genetic distances. The extent of differentiation of Dhangar sub-castes is much higher in anthropometric traits (F(ST) = 0.068) when compared to the genetic markers (F(ST) = 0.023). Yet, the F(ST) value obtained forgenetic markers is larger than the average for the Indian populations, based on similar class of markers. The positioning of the groups in the multivariate space reflects primarily geographic proximity of the groups with reference to anthropometric dimensions while no tangible pattern is evident forgenetic markers. The plot of average heterozygosity of the groups versus their distance from the gene frequency centroid seems to reflect population size variation, rather than group variation in external gene flow.

摘要

我们研究了印度马哈拉施特拉邦一个种姓集群——丹加尔人的20个内婚群体中的变异模式。丹加尔人是半游牧的牧羊人和牧牛人。为了理解变异模式,我们对约2500名成年男性的14项人体测量数据以及在20个丹加尔种姓中的13个种姓中公布的6个基因标记数据进行了R矩阵分析、杂合度相对于群体质心距离的哈彭丁和沃德回归模型分析、空间自相关分析以及距离(地理距离、人体测量距离和基因距离)矩阵对应关系的曼特尔统计分析。多元回归分析结果表明等位基因频率与地理经度和纬度之间存在高度关联;R²值表明,RH7和ACP中约70%的变异可归因于群体的地理分布。就人体测量而言,发现这种与体型的关联甚至更强。正如莫兰指数(I)所示,空间自相关分析结果在一定程度上与基于多元回归分析的结果互补。曼特尔检验表明人体测量距离与地理距离之间存在显著关联,而地理距离与基因距离之间不存在显著关联。与基因标记(F(ST)=0.023)相比,丹加尔子种姓在人体测量特征方面的分化程度要高得多(F(ST)=0.068)。然而,基于类似类别的标记,基因标记获得的F(ST)值大于印度人群的平均值。在多变量空间中,群体的定位主要反映了群体在人体测量维度上的地理接近程度,而基因标记方面没有明显的模式。群体平均杂合度与其到基因频率质心的距离的关系图似乎反映了群体大小的变化,而不是外部基因流动的群体差异。

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