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

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 as...

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Detalles Bibliográficos
Autores principales: Moon, Sanghoon, Lee, Young, Won, Sungho, Lee, Juyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6211397/
https://www.ncbi.nlm.nih.gov/pubmed/30382898
http://dx.doi.org/10.1186/s40246-018-0180-4
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40246-018-0180-4) contains supplementary material, which is available to authorized users.