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Bioimpacts. 2014;4(2): 95-100.
doi: 10.5681/bi.2014.016
PMID: 25035853
PMCID: PMC4097978
Scopus ID: 84905440942
  Abstract View: 1484
  PDF Download: 624

Original Research

Genotype, allele and haplotype frequencies of four TCL1A gene polymorphisms associated with musculoskeletal toxicity in the South Indian descent

Umamaheswaran Gurusamy 1*, Steven Aibor Dkhar 1, Arun Kumar Annan Sudarsan 1, Katiboina Srinivasa Rao 1, Dharanipragada Kadambari 2, Chandrasekaran Adithan 1

1 ICMR Centre for Advanced Research in Pharmacogenomics, Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER), Pondicherry, India
2 Department of Surgery, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER), Pondicherry, India
*Corresponding Author: Email: umagenes@gmail.com

Abstract

Introduction: Decline in circulating estrogen levels cause lessening of bone mass accompanied with musculoskeletal pain, which is the primary cause for treatment discontinuation in patients taking aromatase inhibitors. Evidence from the recent genome-wide association studies (GWAS) suggests that the genetic variability underlying TCL1A gene will increase the risk of aromatase inhibitors (AIs) - induced musculoskeletal toxicity. Currently, no data is available on the frequency distribution of TCL1A gene polymorphisms in Indians.
Methods: In this pilot study, we used TaqMan fluorescent probes to assess the genotypes of four TCL1A gene polymorphisms associated with musculoskeletal toxicity in 247 healthy homogenous South Indian subjects on real time thermocycler. Haplotype estimation and pairwise linkage disequilibrium (LD) analysis were executed by Haploview.
Results: The incidence of the polymorphic variant allele (G) frequencies of rs7158782, rs7159713, rs2369049 and rs11849538 were 21.1%, 23.5%, 18.2% and 22.9% respectively in the study population. The polymorphisms were found to be in complete LD with each other. Four different haplotypes, each of which has a frequency of above 1% were inferred in South Indians using an expectation-maximization algorithm. Notably, three haplotypes were found to be population specific viz., H4 A-A-A-G (1.2%) for South India, H5 G-G-A-C (1.3%) for JPT and H6 G-G-G-C (40.4%) for YRI. Further, H3 G-G-A-G (2.3-16.3%) haplotype occurs primarily in Asians and virtually absent in Africans. Overall, the genetic variability and haplotype profile of South Indian population revealed significant inter-racial variability compared with HapMap data.
Conclusion: This documentation will contribute for further investigations on the pharmacogenetics of AIs in South Indians.
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Submitted: 19 May 2014
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