ArticleHuman genomics2018
Multiple genotype-phenotype association study reveals intronic variant pair on SIDT2 associated with metabolic syndrome in a Korean population.
Article in Human genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- Multivariate Genome-Wide Association Analysis Identifies Genetic Susceptibility Loci for Metabolic Syndrome in the Korean Genome and Epidemiology Study.International journal of molecular sciences · 2026Article
- Genome-wide association and MaODR-based multi-locus interaction analyses reveal a susceptibility gene network for newly identified metabolic syndrome.Genome biology · 2026Article
- Recent Updates on the Role of Genetic and Epigenetic Factors in the Pathogenesis of the Metabolic Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- The Role of the Salt-inducible Kinases in the Endocrine Glands.Endocrinology · 2025Review
- Role of glycoproteins in hepatic lipid metabolism: emerging diagnostic markers and therapeutic targets.PeerJ · 2025Review
- A comprehensive multi-task deep learning approach for predicting metabolic syndrome with genetic, nutritional, and clinical data.Scientific reports · 2024Article
- Structural insights into double-stranded RNA recognition and transport by SID-1.Nature structural & molecular biology · 2024Article
- Identifying genetic loci that are associated with changes in gene expression in PTSD in a South African cohort.Journal of neurochemistry · 2023Article
- Interaction betweenNutrients · 2023Article
- A framework for detecting noncoding rare-variant associations of large-scale whole-genome sequencing studies.Nature methods · 2022Article
- Differential DNA Methylation and Cardiometabolic Risk in African American Mother-Adolescent Dyads.Biological research for nursing · 2022Article
- "Big Data" Approaches for Prevention of the Metabolic Syndrome.Frontiers in genetics · 2022Review
- A nine-hub-gene signature of metabolic syndrome identified using machine learning algorithms and integrated bioinformatics.Bioengineered · 2021Article
- Genome-Wide Association Study Identifies a FunctionalArteriosclerosis, thrombosis, and vascular biology · 2021Article
- Association ofBioMed research international · 2021Article
- The Variant rs1784042 of theGenes · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic 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.
resultsWe 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.
conclusionsOur findings provide insight into an underlying mechanism that contributes to metabolic syndrome.
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