MACF1 gene variant rs2296172 is associated with type 2 diabetes susceptibility in the Bania population group of Punjab – India

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  1. Varun Sharma1,
  2. Itty Sethi1,
  3. Indu Sharma1,
  4. Gurvinder Singh1,3,
  5. Ankit Mahajan2,
  6. Arshia Angural1,
  7. A.J.S. Bhanwer3,
  8. Manoj K. Dhar2,
  9. K.K. Pandita4,
  10. Vinod Singh1,
  11. Ekta Rai1,
  12. Swarkar Sharma1

Authors Affiliation(s)

  • 1Human Genetics Research Group, Department of Biotechnology, Shri Mata Vaishno Devi University, Katra 182320, INDIA
  • 2Department of Biotechnology, University of Jammu, 180006, INDIA
  • 3Guru Nank Dev University, Amritsar, INDIA
  • 4H.no:62, Lane 11, Swarn Vihar, Muthi, Jammu, J&K;, INDIA

Can J Biotech, Volume 1, Special Issue, Page 79, DOI: https://doi.org/10.24870/cjb.2017-a66

Abstract

Microtubule Actin Cross linking Factor 1 (MACF1) gene variant rs2296172 has been associated with Type 2 Diabetes (T2D). However, this variant has never been evaluated as such in Indian populations. We replicated this variant in pooled population of Northwest India and specifically in an endogamous caste group, Bania of Punjab, India. We genotyped variant rs2296172 by Taqman allele discrimination assay in 651 T2D patients and in 568 healthy controls from Northwest India. The association of the SNP with T2D was evaluated by case – control association study design. The SNP rs2296172 of MACF1 was found to be significantly associated with T2D with p value = 0.009 in Northwest Indian population but allelic distribution was observed to be deviated from Hardy-Weinberg equilibrium (HWE). Assuming population stratification the most plausible cause, we further evaluated the samples belonging to Bania caste group from Punjab, India. We observed significant association of this SNP with T2D with OR = 1.71 (1.03-2.83) at 95%CI, (p =0.03) and sample set following HWE. MACF1 variant rs2296172 was found to be associated with T2D in endogamous ethnic population group (Bania) of Punjab, India. Deviation from Hardy-Weinberg equilibrium in the pooled population group from Northwest India, underlines that Indian population sub structure exists and may have implications in association studies. Thus, ideal case – control association study design in Indian populations is to evaluate endogamous population groups rather than the conventional practice of pooling samples based on geography or linguistic affinities only.