Association of rs11643718 SLC12A3 and rs741301 ELMO1 Variants with Diabetic Nephropathy in South Indian Population

Dhanasekaran Bodhini, Chidambaram Manickam, Samuel Liju, Balakannan Revathi, Dhandapani Laasya, Natarajan Sathish, Sekar Kanthimathi, Saurabh Ghosh, Ranjit Mohan Anjana, Viswanathan Mohan, Venkatesan Radha

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9 Citations (Scopus)

Abstract

This study reports on the association of genetic variants selected from previous genome-wide association studies for type 2 diabetic nephropathy in south Indians. Eight variants were genotyped in 601 type 2 diabetic subjects without nephropathy (DM) and 583 type 2 diabetic subjects with nephropathy (DN) by MassARRAY. The minor allele frequencies of rs11643718 SLC12A3 variant and rs741301 ELMO1 variant were significantly different between DM and DN groups (P = 0.029 and 0.016, respectively). A combined analysis showed that the subjects carrying the risk genotypes of both these variants (GG of rs11643718 + AG/AA of rs741301) had a significant association with DN with an odds ratio [adjusted for age, sex, Body Mass Index (BMI), HbA1c, and systolic Blood Pressure (BP)] of 1.73 (1.30–2.30, P = 1.72 × 10–4) as compared to subjects carrying all other genotype combinations. This is the first study to report a significant association of the SLC12A3 rs11643718 and ELMO1 rs741301 (Single nucleotide Polymorphism) SNPs with diabetic nephropathy in south Indians.

Original languageEnglish
Pages (from-to)336-341
Number of pages6
JournalAnnals of Human Genetics
Volume80
Issue number6
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

Keywords

  • Diabetic nephropathy
  • ELMO1 gene
  • rs11643718
  • rs741301
  • SLC12A3 gene
  • South Indians

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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    Bodhini, D., Manickam, C., Liju, S., Revathi, B., Laasya, D., Sathish, N., Kanthimathi, S., Ghosh, S., Anjana, R. M., Mohan, V., & Radha, V. (2016). Association of rs11643718 SLC12A3 and rs741301 ELMO1 Variants with Diabetic Nephropathy in South Indian Population. Annals of Human Genetics, 80(6), 336-341. https://doi.org/10.1111/ahg.12174