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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-09

AUTHORS

James B Meigs, Alisa K Manning, Caroline S Fox, Jose C Florez, Chunyu Liu, L Adrienne Cupples, Josée Dupuis

ABSTRACT

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-age2-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 r2 < 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 (r2 = 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 (r2 > 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 webcite. Framingham 100K data replicate the TCF7L2 association with diabetes. More... »

PAGES

s16

References to SciGraph publications

  • 2006-12. Common variants in the TCF7L2 gene and predisposition to type 2 diabetes in UK European Whites, Indian Asians and Afro-Caribbean men and women in JOURNAL OF MOLECULAR MEDICINE
  • 2007-09. The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports in BMC MEDICAL GENETICS
  • 2006-06. Evaluating and improving power in whole-genome association studies using fixed marker sets in NATURE GENETICS
  • 2000-09. The common PPARγ Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes in NATURE GENETICS
  • 1985-07. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man in DIABETOLOGIA
  • 2007-01. Analysis of the type 2 diabetes gene, TCF7L2, in 13,795 type 1 diabetes cases and control subjects in DIABETOLOGIA
  • 2005-10. A haplotype map of the human genome in NATURE
  • 2007-01. Association of variants of transcription factor 7-like 2 (TCF7L2) with susceptibility to type 2 diabetes in the Dutch Breda cohort in DIABETOLOGIA
  • 2006-02. Conserved noncoding sequences are selectively constrained and not mutation cold spots in NATURE GENETICS
  • 2006-03. Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes in NATURE GENETICS
  • 2006-02. Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies in NATURE GENETICS
  • 1999-01. Heritability of Type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance – a population-based twin study in DIABETOLOGIA
  • Identifiers

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    http://scigraph.springernature.com/pub.10.1186/1471-2350-8-s1-s16

    DOI

    http://dx.doi.org/10.1186/1471-2350-8-s1-s16

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1020787825

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/17903298


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