1. QTL-based association analyses reveal novel genes influencing pleiotropy of metabolic syndrome (MetS).
- Author
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Zhang Y, Kent JW Jr, Olivier M, Ali O, Broeckel U, Abdou RM, Dyer TD, Comuzzie A, Curran JE, Carless MA, Rainwater DL, Göring HH, Blangero J, and Kissebah AH
- Subjects
- Adipocytes cytology, Adipocytes metabolism, Adult, Body Composition, Body Mass Index, Cell Adhesion, Cell Differentiation, Chromosomes, Human genetics, Chromosomes, Human metabolism, Cohort Studies, Computational Biology, Female, Gene Expression Profiling, Genetic Association Studies, Genetic Linkage, Genetic Predisposition to Disease, Haplotypes, Humans, Leukocytes, Mononuclear metabolism, Male, Metabolic Syndrome metabolism, Middle Aged, Pedigree, Phenotype, Polymorphism, Single Nucleotide, RNA, Messenger genetics, RNA, Messenger metabolism, RNA-Binding Proteins genetics, RNA-Binding Proteins metabolism, Transcriptome, Transmembrane Activator and CAML Interactor Protein genetics, Transmembrane Activator and CAML Interactor Protein metabolism, Young Adult, Genetic Pleiotropy, Metabolic Syndrome genetics, Quantitative Trait Loci
- Abstract
Objective: Metabolic Syndrome (MetS) is a phenotype cluster predisposing to type 2 diabetes and cardiovascular disease. We conducted a study to elucidate the genetic basis underlying linkage signals for multiple representative traits of MetS that we had previously identified at two significant QTLs on chromosomes 3q27 and 17p12., Design and Methods: We performed QTL-specific genomic and transcriptomic analyses in 1,137 individuals from 85 extended families that contributed to the original linkage. We tested in SOLAR association of MetS phenotypes with QTL-specific haplotype-tagging SNPs as well as transcriptional profiles of peripheral blood mononuclear cells (PBMCs)., Results: SNPs significantly associated with MetS phenotypes under the prior hypothesis of linkage mapped to seven genes at 3q27 and seven at 17p12. Prioritization based on biologic relevance, SNP association, and expression analyses identified two genes: insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) at 3q27 and tumor necrosis factor receptor 13B (TNFRSF13B) at 17p12. Prioritized genes could influence cell-cell adhesion and adipocyte differentiation, insulin/glucose responsiveness, cytokine effectiveness, plasma lipid levels, and lipoprotein densities., Conclusions: Using an approach combining genomic, transcriptomic, and bioinformatic data we identified novel candidate genes for MetS., (Copyright © 2013 The Obesity Society.)
- Published
- 2013
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