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Published in: BMC Medical Genetics 1/2007

Open Access 01-09-2007 | Research

Framingham Heart Study 100K project: genome-wide associations for cardiovascular disease outcomes

Authors: Martin G Larson, Larry D Atwood, Emelia J Benjamin, L Adrienne Cupples, Ralph B D'Agostino Sr, Caroline S Fox, Diddahally R Govindaraju, Chao-Yu Guo, Nancy L Heard-Costa, Shih-Jen Hwang, Joanne M Murabito, Christopher Newton-Cheh, Christopher J O'Donnell, Sudha Seshadri, Ramachandran S Vasan, Thomas J Wang, Philip A Wolf, Daniel Levy

Published in: BMC Medical Genetics | Special Issue 1/2007

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Abstract

Background

Cardiovascular disease (CVD) and its most common manifestations – including coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF) – are major causes of morbidity and mortality. In many industrialized countries, cardiovascular disease (CVD) claims more lives each year than any other disease. Heart disease and stroke are the first and third leading causes of death in the United States. Prior investigations have reported several single gene variants associated with CHD, stroke, HF, and AF. We report a community-based genome-wide association study of major CVD outcomes.

Methods

In 1345 Framingham Heart Study participants from the largest 310 pedigrees (54% women, mean age 33 years at entry), we analyzed associations of 70,987 qualifying SNPs (Affymetrix 100K GeneChip) to four major CVD outcomes: major atherosclerotic CVD (n = 142; myocardial infarction, stroke, CHD death), major CHD (n = 118; myocardial infarction, CHD death), AF (n = 151), and HF (n = 73). Participants free of the condition at entry were included in proportional hazards models. We analyzed model-based deviance residuals using generalized estimating equations to test associations between SNP genotypes and traits in additive genetic models restricted to autosomal SNPs with minor allele frequency ≥0.10, genotype call rate ≥0.80, and Hardy-Weinberg equilibrium p-value ≥ 0.001.

Results

Six associations yielded p < 10-5. The lowest p-values for each CVD trait were as follows: major CVD, rs499818, p = 6.6 × 10-6; major CHD, rs2549513, p = 9.7 × 10-6; AF, rs958546, p = 4.8 × 10-6; HF: rs740363, p = 8.8 × 10-6. Of note, we found associations of a 13 Kb region on chromosome 9p21 with major CVD (p 1.7 – 1.9 × 10-5) and major CHD (p 2.5 – 3.5 × 10-4) that confirm associations with CHD in two recently reported genome-wide association studies. Also, rs10501920 in CNTN5 was associated with AF (p = 9.4 × 10-6) and HF (p = 1.2 × 10-4). Complete results for these phenotypes can be found at the dbgap website http://​www.​ncbi.​nlm.​nih.​gov/​projects/​gap/​cgi-bin/​study.​cgi?​id=​phs000007.

Conclusion

No association attained genome-wide significance, but several intriguing findings emerged. Notably, we replicated associations of chromosome 9p21 with major CVD. Additional studies are needed to validate these results. Finding genetic variants associated with CVD may point to novel disease pathways and identify potential targeted preventive therapies.
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Metadata
Title
Framingham Heart Study 100K project: genome-wide associations for cardiovascular disease outcomes
Authors
Martin G Larson
Larry D Atwood
Emelia J Benjamin
L Adrienne Cupples
Ralph B D'Agostino Sr
Caroline S Fox
Diddahally R Govindaraju
Chao-Yu Guo
Nancy L Heard-Costa
Shih-Jen Hwang
Joanne M Murabito
Christopher Newton-Cheh
Christopher J O'Donnell
Sudha Seshadri
Ramachandran S Vasan
Thomas J Wang
Philip A Wolf
Daniel Levy
Publication date
01-09-2007
Publisher
BioMed Central
Published in
BMC Medical Genetics / Issue Special Issue 1/2007
Electronic ISSN: 1471-2350
DOI
https://doi.org/10.1186/1471-2350-8-S1-S5

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