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Genome-wide association with diabetes-related traits in the Framingham Heart Study

BACKGROUND: Susceptibility to type 2 diabetes may be conferred by genetic variants having modest effects on risk. Genome-wide fixed marker arrays offer a novel approach to detect these variants. METHODS: We used the Affymetrix 100K SNP array in 1,087 Framingham Offspring Study family members to exam...

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Autores principales: Meigs, James B, Manning, Alisa K, Fox, Caroline S, Florez, Jose C, Liu, Chunyu, Cupples, L Adrienne, Dupuis, Josée
Formato: Texto
Lenguaje:English
Publicado: BMC 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995610/
https://www.ncbi.nlm.nih.gov/pubmed/17903298
http://dx.doi.org/10.1186/1471-2350-8-S1-S16
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author Meigs, James B
Manning, Alisa K
Fox, Caroline S
Florez, Jose C
Liu, Chunyu
Cupples, L Adrienne
Dupuis, Josée
author_facet Meigs, James B
Manning, Alisa K
Fox, Caroline S
Florez, Jose C
Liu, Chunyu
Cupples, L Adrienne
Dupuis, Josée
author_sort Meigs, James B
collection PubMed
description BACKGROUND: Susceptibility to type 2 diabetes may be conferred by genetic variants having modest effects on risk. Genome-wide fixed marker arrays offer a novel approach to detect these variants. METHODS: We used the Affymetrix 100K SNP array in 1,087 Framingham Offspring Study family members to examine genetic associations with three diabetes-related quantitative glucose traits (fasting plasma glucose (FPG), hemoglobin A1c, 28-yr time-averaged FPG (tFPG)), three insulin traits (fasting insulin, HOMA-insulin resistance, and 0–120 min insulin sensitivity index); and with risk for diabetes. We used additive generalized estimating equations (GEE) and family-based association test (FBAT) models to test associations of SNP genotypes with sex-age-age(2)-adjusted residual trait values, and Cox survival models to test incident diabetes. RESULTS: We found 415 SNPs associated (at p < 0.001) with at least one of the six quantitative traits in GEE, 242 in FBAT (18 overlapped with GEE for 639 non-overlapping SNPs), and 128 associated with incident diabetes (31 overlapped with the 639) giving 736 non-overlapping SNPs. Of these 736 SNPs, 439 were within 60 kb of a known gene. Additionally, 53 SNPs (of which 42 had r(2 )< 0.80 with each other) had p < 0.01 for incident diabetes AND (all 3 glucose traits OR all 3 insulin traits, OR 2 glucose traits and 2 insulin traits); of these, 36 overlapped with the 736 other SNPs. Of 100K SNPs, one (rs7100927) was in moderate LD (r(2 )= 0.50) with TCF7L2 (rs7903146), and was associated with risk of diabetes (Cox p-value 0.007, additive hazard ratio for diabetes = 1.56) and with tFPG (GEE p-value 0.03). There were no common (MAF > 1%) 100K SNPs in LD (r(2 )> 0.05) with ABCC8 A1369S (rs757110), KCNJ11 E23K (rs5219), or SNPs in CAPN10 or HNFa. PPARG P12A (rs1801282) was not significantly associated with diabetes or related traits. CONCLUSION: Framingham 100K SNP data is a resource for association tests of known and novel genes with diabetes and related traits posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007. Framingham 100K data replicate the TCF7L2 association with diabetes.
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spelling pubmed-19956102007-10-01 Genome-wide association with diabetes-related traits in the Framingham Heart Study Meigs, James B Manning, Alisa K Fox, Caroline S Florez, Jose C Liu, Chunyu Cupples, L Adrienne Dupuis, Josée BMC Med Genet Research BACKGROUND: Susceptibility to type 2 diabetes may be conferred by genetic variants having modest effects on risk. Genome-wide fixed marker arrays offer a novel approach to detect these variants. METHODS: We used the Affymetrix 100K SNP array in 1,087 Framingham Offspring Study family members to examine genetic associations with three diabetes-related quantitative glucose traits (fasting plasma glucose (FPG), hemoglobin A1c, 28-yr time-averaged FPG (tFPG)), three insulin traits (fasting insulin, HOMA-insulin resistance, and 0–120 min insulin sensitivity index); and with risk for diabetes. We used additive generalized estimating equations (GEE) and family-based association test (FBAT) models to test associations of SNP genotypes with sex-age-age(2)-adjusted residual trait values, and Cox survival models to test incident diabetes. RESULTS: We found 415 SNPs associated (at p < 0.001) with at least one of the six quantitative traits in GEE, 242 in FBAT (18 overlapped with GEE for 639 non-overlapping SNPs), and 128 associated with incident diabetes (31 overlapped with the 639) giving 736 non-overlapping SNPs. Of these 736 SNPs, 439 were within 60 kb of a known gene. Additionally, 53 SNPs (of which 42 had r(2 )< 0.80 with each other) had p < 0.01 for incident diabetes AND (all 3 glucose traits OR all 3 insulin traits, OR 2 glucose traits and 2 insulin traits); of these, 36 overlapped with the 736 other SNPs. Of 100K SNPs, one (rs7100927) was in moderate LD (r(2 )= 0.50) with TCF7L2 (rs7903146), and was associated with risk of diabetes (Cox p-value 0.007, additive hazard ratio for diabetes = 1.56) and with tFPG (GEE p-value 0.03). There were no common (MAF > 1%) 100K SNPs in LD (r(2 )> 0.05) with ABCC8 A1369S (rs757110), KCNJ11 E23K (rs5219), or SNPs in CAPN10 or HNFa. PPARG P12A (rs1801282) was not significantly associated with diabetes or related traits. CONCLUSION: Framingham 100K SNP data is a resource for association tests of known and novel genes with diabetes and related traits posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007. Framingham 100K data replicate the TCF7L2 association with diabetes. BMC 2007-09-19 /pmc/articles/PMC1995610/ /pubmed/17903298 http://dx.doi.org/10.1186/1471-2350-8-S1-S16 Text en Copyright © 2007 Meigs et al; licensee BioMed Central Ltd. https://creativecommons.org/licenses/by/2.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0 (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Meigs, James B
Manning, Alisa K
Fox, Caroline S
Florez, Jose C
Liu, Chunyu
Cupples, L Adrienne
Dupuis, Josée
Genome-wide association with diabetes-related traits in the Framingham Heart Study
title Genome-wide association with diabetes-related traits in the Framingham Heart Study
title_full Genome-wide association with diabetes-related traits in the Framingham Heart Study
title_fullStr Genome-wide association with diabetes-related traits in the Framingham Heart Study
title_full_unstemmed Genome-wide association with diabetes-related traits in the Framingham Heart Study
title_short Genome-wide association with diabetes-related traits in the Framingham Heart Study
title_sort genome-wide association with diabetes-related traits in the framingham heart study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995610/
https://www.ncbi.nlm.nih.gov/pubmed/17903298
http://dx.doi.org/10.1186/1471-2350-8-S1-S16
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