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This article is part of the supplement: Genetic Analysis Workshop 16

Open Access Proceedings

Genetics Analysis Workshop 16 Problem 2: the Framingham Heart Study data

L Adrienne Cupples12*, Nancy Heard-Costa23, Monica Lee23, Larry D Atwood123 and the Framingham Heart Study Investigators

Author affiliations

1 Department of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston Massachusetts 02118, USA

2 Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, Massachusetts 01702-5728, USA

3 Department of Neurology, Boston University School of Medicine, 75 East Newton Street, Boston Massachusetts 02118, USA

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Citation and License

BMC Proceedings 2009, 3(Suppl 7):S3  doi:

Published: 15 December 2009

Abstract

Genetic Analysis Workshop 16 (GAW16) Problem 2 presented data from the Framingham Heart Study (FHS), an observational, prospective study of risk factors for cardiovascular disease begun in 1948. Data have been collected in three generations of family participants in the study and the data presented for GAW16 included phenotype data from all three generations, with four examinations of data collected repeatedly for the first two generations. The trait data consisted of information on blood pressure, hypertension treatment, lipid levels, diabetes and blood glucose, smoking, alcohol consumed, weight, and coronary heart disease incidence. Additionally, genotype data obtained through a genome-wide scan (FHS SHARe) of 550,000 single-nucleotide polymorphisms from Affymetrix chips were included with the GAW16 data. The genotype data were also used for GAW16 Problem 3, where simulated phenotypes were generated using the actual FHS genotypes. These data served to provide investigators with a rich resource to study the behavior of genome-wide scans with longitudinally collected family data and to develop and apply new procedures