title: Replication of Interactions between Genome-Wide Genetic Variants and Body Mass Index in Fasting Glucose and Insulin Levels.
abstract: The genetic regulation of glucose and insulin levels might be modified by adiposity. With regard to the genetic factors that are altered by adiposity, a large meta-analysis on the interactions between genetic variants and body mass index with regard to fasting glucose and insulin levels was reported by the Meta-Analyses of Glucose- and Insulin-related trait Consortium (MAGIC), based on European ancestry. Because no replication study has been performed in other ethnic groups, we first examined the link between reported single-nucleotide polymorphisms (SNPs) and fasting glucose and insulin levels in a large Korean cohort (Korean Genome and Epidemiology Study cohort [KoGES], n = 5,814). The MAGIC study reported 7 novel SNPs for fasting glucose levels and 6 novel SNPs for fasting insulin levels. In this study, we attempted to replicate the association of 5 SNPs with fasting glucose levels and 5 SNPs with fasting insulin levels. One SNP (rs2293941) in PDX1 was identified as a significant obesity-modifiable factor in Koreans. Our results indicate that the novel loci that were identified by MAGIC are poorly replicated in other ethnic groups, although we do not know why.
authors.affiliation: Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC, Cheongju 363-951, Korea.
authors.forename: Kyung-Won
authors.initials: KW
authors.lastname: Hong
authors.affiliation: Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC, Cheongju 363-951, Korea. ; Division of Molecular and Life Science, Hanyang University, Seoul 133-791, Korea.
authors.forename: Myungguen
authors.initials: M
authors.lastname: Chung
authors.affiliation: Division of Biomedical Informatics, Center for Genome Science, National Institute of Health, KCDC, Cheongju 363-951, Korea.
authors.forename: Seong Beom
authors.initials: SB
authors.lastname: Cho
keywords: European; GWAS; SNP; glucose; insulin