TY  - BOOK
AU  - Howard, Barbara V
TI  - Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
SN  - 1471-2350
KW  - *Blood Glucose/an [Analysis]
KW  - *Genome-Wide Association Study
KW  - *Insulin/ge [Genetics]
KW  - Adaptor Proteins, Signal Transducing/ge [Genetics]
KW  - Adult
KW  - African Americans/ge [Genetics]
KW  - Aged
KW  - Alleles
KW  - Asian Continental Ancestry Group/ge [Genetics]
KW  - Diabetes Mellitus, Type 2/eh [Ethnology]
KW  - Diabetes Mellitus, Type 2/ep [Epidemiology]
KW  - Diabetes Mellitus, Type 2/ge [Genetics]
KW  - European Continental Ancestry Group/ge [Genetics]
KW  - Female
KW  - Gene Frequency
KW  - Genetic Loci
KW  - Genomics
KW  - Hispanic Americans/ge [Genetics]
KW  - Humans
KW  - Indians, North American/ge [Genetics]
KW  - Insulin/bl [Blood]
KW  - Male
KW  - Middle Aged
KW  - Polymorphism, Single Nucleotide
KW  - Transcription Factor 7-Like 2 Protein/ge [Genetics]
KW  - MedStar Health Research Institute
KW  - Journal Article
KW  - Meta-Analysis
KW  - Research Support, American Recovery and Reinvestment Act
KW  - Research Support, N.I.H., Extramural
KW  - Research Support, U.S. Gov't, P.H.S
N1  - Available online from MWHC library: 2000 - present
N2  - BACKGROUND: Multiple genome-wide association studies (GWAS) within European populations have implicated common genetic variants associated with insulin and glucose concentrations. In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S; CONCLUSIONS: Generalization of results across multiple racial/ethnic groups helps confirm the relevance of some of these loci for glucose and insulin metabolism. Lack of association in non-EA groups may be due to insufficient power, or to unique patterns of linkage disequilibrium; METHODS: As part of the 'Population Architecture using Genomics and Epidemiology (PAGE) Consortium, we investigated the association of up to 10 GWAS-identified single nucleotide polymorphisms (SNPs) in 8 genetic regions with glucose or insulin concentrations in up to 36,579 non-diabetic subjects including 23,323 European Americans (EA) and 7,526 African Americans (AA), 3,140 Hispanics, 1,779 American Indians (AI), and 811 Asians. We estimated the association between each SNP and fasting glucose or log-transformed fasting insulin, followed by meta-analysis to combine results across PAGE sites; RESULTS: Overall, our results show that 9/9 GWAS SNPs are associated with glucose in EA (p = 0.04 to 9 x 10-15), versus 3/9 in AA (p= 0.03 to 6 x 10-5), 3/4 SNPs in Hispanics, 2/4 SNPs in AI, and 1/2 SNPs in Asians. For insulin we observed a significant association with rs780094/GCKR in EA, Hispanics and AI only
UR  - http://dx.doi.org/10.1186/1471-2350-14-98
ER  -