Human Genomics (Nov 2018)

Multiple genotype–phenotype association study reveals intronic variant pair on SIDT2 associated with metabolic syndrome in a Korean population

  • Sanghoon Moon,
  • Young Lee,
  • Sungho Won,
  • Juyoung Lee

DOI
https://doi.org/10.1186/s40246-018-0180-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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Abstract Background Metabolic syndrome is a risk factor for type 2 diabetes and cardiovascular disease. We identified common genetic variants that alter the risk for metabolic syndrome in the Korean population. To isolate these variants, we conducted a multiple-genotype and multiple-phenotype genome-wide association analysis using the family-based quasi-likelihood score (MFQLS) test. For this analysis, we used 7211 and 2838 genotyped study subjects for discovery and replication, respectively. We also performed a multiple-genotype and multiple-phenotype analysis of a gene-based single-nucleotide polymorphism (SNP) set. Results We found an association between metabolic syndrome and an intronic SNP pair, rs7107152 and rs1242229, in SIDT2 gene at 11q23.3. Both SNPs correlate with the expression of SIDT2 and TAGLN, whose products promote insulin secretion and lipid metabolism, respectively. This SNP pair showed statistical significance at the replication stage. Conclusions Our findings provide insight into an underlying mechanism that contributes to metabolic syndrome.

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