Literature DB >> 18027817

Normative genetic profiles of RAAS pathway gene polymorphisms in North Indian and South Indian populations.

Pushplata Prasad1, B K Thelma.   

Abstract

Population-based genetic association studies, popularly known as case-control studies, have continued to be the most preferred method for deciphering the genetic basis of various complex diseases, even in the post-human genome sequencing era. However, interpopulation differences in allele, genotype, and haplotype frequencies and linkage disequilibrium patterns lead to inconsistent results in candidate gene association studies. Therefore, for any meaningful disease association study, knowledge of the normative genetic background of the baseline population is a prerequisite. In addition, such genetic variation data also provide a ready-made menu of allele frequencies and linkage disequilibrium patterns of various polymorphisms in specific candidate genes in a particular population, which is a useful reference for further genetic association studies. Such genetic variation data are lacking for the Indian population, which represents about one-sixth of the world's population. In the present study we have reported the allele, genotype, and haplotype frequencies, Hardy-Weinberg equilibrium status, and linkage disequilibrium patterns of 12 polymorphisms in six candidate genes from the renin-angiotensin-aldosterone system among Indians. Because of their different history of origin, the Indian population is broadly divided into two subpopulations: North Indians (Caucasian Europeans) and South Indians (Dravidians). Considering this well-documented difference in gene pools, we have presented a comparative account of the normative genetic data of North Indian and South Indian populations with at least four individuals of urban and suburban origin from each of the representative states of northern and southern India.

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Year:  2007        PMID: 18027817     DOI: 10.1353/hub.2007.0033

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


  5 in total

1.  Using population mixtures to optimize the utility of genomic databases: linkage disequilibrium and association study design in India.

Authors:  T J Pemberton; M Jakobsson; D F Conrad; G Coop; J D Wall; J K Pritchard; P I Patel; N A Rosenberg
Journal:  Ann Hum Genet       Date:  2007-05-30       Impact factor: 1.670

2.  Dopamine D2 receptor polymorphisms and susceptibility to alcohol dependence in Indian males: a preliminary study.

Authors:  Pushplata Prasad; Atul Ambekar; Meera Vaswani
Journal:  BMC Med Genet       Date:  2010-02-11       Impact factor: 2.103

3.  Polymorphism profiling of nine high altitude relevant candidate gene loci in acclimatized sojourners and adapted natives.

Authors:  Arvind Tomar; Seema Malhotra; Soma Sarkar
Journal:  BMC Genet       Date:  2015-09-15       Impact factor: 2.797

4.  Gender specific association of RAS gene polymorphism with essential hypertension: a case-control study.

Authors:  Kh Dhanachandra Singh; Ajay Jajodia; Harpreet Kaur; Ritushree Kukreti; Muthusamy Karthikeyan
Journal:  Biomed Res Int       Date:  2014-04-17       Impact factor: 3.411

5.  Combined sequence and sequence-structure based methods for analyzing FGF23, CYP24A1 and VDR genes.

Authors:  Selvaraman Nagamani; Kh Dhanachandra Singh; Karthikeyan Muthusamy
Journal:  Meta Gene       Date:  2016-03-31
  5 in total

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