Literature DB >> 16715839

Microsatellite diversity in Andhra Pradesh, India: genetic stratification versus social stratification.

B Mohan Reddy1, V M Naidu, V Komal Madhavi, L K Thangaraj, Vikrant Kumar, B T Langstieh, P Venkatramana, A G Reddy, Lalji Singh.   

Abstract

DNA samples of 948 individuals belonging to 27 populations from southern Andhra Pradesh were analyzed for nine AmpFlSTR Profiler Plus loci. The nature and extent of genomic diversity within and between these populations have been examined with reference to socioeconomic and geographic affiliations. The results suggest that the average heterozygosity is uniformly high in these populations (> 0.80) and that the patterns of allele distributions are similar across the populations. The value of the coefficient of gene differentiation and the AMOVA and structure analysis results suggest that these populations are highly homogeneous. The neighbor-joining tree constructed using either D(A) or F(ST) distances suggests no intelligible pattern of population clusters based on ethnohistoric or geographic affiliations. All these observations suggest either a common recent origin of these populations or extensive gene flow across the populations that erased the original genetic differences. Given strict endogamy, the latter explanation can hold only if there has been unauthorized or unrecognized gene flow transecting the social boundaries. Nevertheless, the regression plot of average heterozygosity versus distance from the centroid (Rii), based on Harpending and Ward's (1982) model, and the genetic distances computed between different hierarchical groups within Andhra Pradesh tend to support this conjecture. Overall, the results suggest lack of a significant degree of genetic stratification that is consistent with social stratification in Andhra Pradesh. Furthermore, the neighbor-joining tree based on comparative data from other Indian and continental populations brings out a single and compact cluster of all the Andhra populations that is clearly separated from the rest.

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Year:  2005        PMID: 16715839     DOI: 10.1353/hub.2006.0018

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  12 in total

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Authors:  Shilpi Dasgupta; Pisapati V S Sirisha; Kudugunti Neelaveni; Kathragadda Anuradha; Alla G Reddy; Kumarasamy Thangaraj; B Mohan Reddy
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3.  The Grandest Genetic Experiment Ever Performed on Man? - A Y-Chromosomal Perspective on Genetic Variation in India.

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4.  Role of androgen receptor CAG repeat polymorphism and X-inactivation in the manifestation of recurrent spontaneous abortions in Indian women.

Authors:  Meka Aruna; Shilpi Dasgupta; Pisapati V S Sirisha; Sadaranga Andal Bhaskar; Surapaneni Tarakeswari; Lalji Singh; B Mohan Reddy
Journal:  PLoS One       Date:  2011-03-14       Impact factor: 3.240

5.  Gene-gene and gene-environment interactions in the etiology of type 2 diabetes mellitus in the population of Hyderabad, India.

Authors:  Kommoju Uma Jyothi; Battini Mohan Reddy
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6.  Genetic determinants of clinical heterogeneity of the coronary artery disease in the population of Hyderabad, India.

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Journal:  Hum Genomics       Date:  2017-03-04       Impact factor: 4.639

7.  Quantitative trait loci at the 11q23.3 chromosomal region related to dyslipidemia in the population of Andhra Pradesh, India.

Authors:  Rayabarapu Pranavchand; Battini Mohan Reddy
Journal:  Lipids Health Dis       Date:  2017-06-13       Impact factor: 3.876

8.  The SNP rs7865618 of 9p21.3 locus emerges as the most promising marker of coronary artery disease in the southern Indian population.

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9.  Role of progesterone receptor polymorphisms in the recurrent spontaneous abortions: Indian case.

Authors:  Meka Aruna; Theeya Nagaraja; Sadaranga Andal; Surapaneni Tarakeswari; Pisapati V S Sirisha; Alla G Reddy; Kumarasamy Thangaraj; Lalji Singh; B Mohan Reddy
Journal:  PLoS One       Date:  2010-01-14       Impact factor: 3.240

10.  Distinct Patterns of Association of Variants at 11q23.3 Chromosomal Region with Coronary Artery Disease and Dyslipidemia in the Population of Andhra Pradesh, India.

Authors:  Rayabarapu Pranav Chand; Arramraju Sreenivas Kumar; Kapadia Anuj; Satti Vishnupriya; Battini Mohan Reddy
Journal:  PLoS One       Date:  2016-06-03       Impact factor: 3.240

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