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PMID: 17903291 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports.

BMC medical genetics ·Vol. 8 Suppl 1 ·2007-00-00 ·Pages S1

Cupples LA, Arruda HT, Benjamin EJ, D'Agostino RB, Demissie S, DeStefano AL, Dupuis J, Falls KM, Fox CS, Gottlieb DJ, Govindaraju DR, Guo CY, Heard-Costa NL, Hwang SJ, Kathiresan S, Kiel DP, Laramie JM, Larson MG, Levy D, Liu CY, Lunetta KL, Mailman MD, Manning AK, Meigs JB, Murabito JM, Newton-Cheh C, O'Connor GT, O'Donnell CJ, Pandey M, Seshadri S, Vasan RS, Wang ZY, Wilk JB, Wolf PA, Yang Q, Atwood LD

Abstract

The Framingham Heart Study (FHS), founded in 1948 to examine the epidemiology of cardiovascular disease, is among the most comprehensively characterized multi-generational studies in the world. Many collected phenotypes have substantial genetic contributors; yet most genetic determinants remain to be identified. Using single nucleotide polymorphisms (SNPs) from a 100K genome-wide scan, we examine the associations of common polymorphisms with phenotypic variation in this community-based cohort and provide a full-disclosure, web-based resource of results for future replication studies. Adult participants (n = 1345) of the largest 310 pedigrees in the FHS, many biologically related, were genotyped with the 100K Affymetrix GeneChip. These genotypes were used to assess their contribution to 987 phenotypes collected in FHS over 56 years of follow up, including: cardiovascular risk factors and biomarkers; subclinical and clinical cardiovascular disease; cancer and longevity traits; and traits in pulmonary, sleep, neurology, renal, and bone domains. We conducted genome-wide variance components linkage and population-based and family-based association tests. The participants were white of European descent and from the FHS Original and Offspring Cohorts (examination 1 Offspring mean age 32 +/- 9 years, 54% women). This overview summarizes the methods, selected findings and limitations of the results presented in the accompanying series of 17 manuscripts. The presented association results are based on 70,897 autosomal SNPs meeting the following criteria: minor allele frequency > or + 10%, genotype call rate > or = 80%, Hardy-Weinberg equilibrium p-value > or = 0.001, and satisfying Mendelian consistency. Linkage analyses are based on 11,200 SNPs and short-tandem repeats. Results of phenotype-genotype linkages and associations for all autosomal SNPs are posted on the NCBI dbGaP website at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007 webcite. We have created a full-disclosure resource of results, posted on the dbGaP website, from a genome-wide association study in the FHS. Because we used three analytical approaches to examine the association and linkage of 987 phenotypes with thousands of SNPs, our results must be considered hypothesis-generating and need to be replicated. Results from the FHS 100K project with NCBI web posting provides a resource for investigators to identify high priority findings for replication.

MeSH Terms
Adult Cardiovascular Diseases/genetics,physiopathology Cohort Studies Disease Susceptibility Female Genetic Markers Genome, Human Humans Male Middle Aged Phenotype Polymorphism, Single Nucleotide
Chemicals
Genetic Markers
Authors & Affiliations
36 authors, click to expand affiliations / ORCID
Cupples L Adrienne
National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, USA.
Arruda Heather T
Benjamin Emelia J
D'Agostino Ralph B
Demissie Serkalem
DeStefano Anita L
Dupuis Josée
Falls Kathleen M
Fox Caroline S
Gottlieb Daniel J
Govindaraju Diddahally R
Guo Chao-Yu
Heard-Costa Nancy L
Hwang Shih-Jen
Kathiresan Sekar
Kiel Douglas P
Laramie Jason M
Larson Martin G
Levy Daniel
Liu Chun-Yu
Lunetta Kathryn L
Mailman Matthew D
Manning Alisa K
Meigs James B
Murabito Joanne M
Newton-Cheh Christopher
O'Connor George T
O'Donnell Christopher J
Pandey Mona
Seshadri Sudha
Vasan Ramachandran S
Wang Zhen Y
Wilk Jemma B
Wolf Philip A
Yang Qiong
Atwood Larry D
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Article Info
Journal
BMC medical genetics
Abbr.
BMC Med Genet
ISSN
1471-2350
Published
2007-00-00
Pages
S1
Language
English
Region
England
NLM ID
100968552
PMCID
PMC1995613
Subset
IM
Grants
NIA NIH HHS · 5R01-AG16495 · United States
NINDS NIH HHS · R01 NS017950 · United States
NIA NIH HHS · R01 AG016495 · United States
NIA NIH HHS · 1R01 AG028321 · United States
NHLBI NIH HHS · N01-HC 25195 · United States
NHLBI NIH HHS · R01 HL076784 · United States
NHLBI NIH HHS · HL54776 · United States
NHLBI NIH HHS · K24 HL004334 · United States
NHLBI NIH HHS · R01 HL054776 · United States
NIA NIH HHS · 5R01-AG08122 · United States
NIA NIH HHS · R01 AG008122 · United States
NCRR NIH HHS · 1S10RR163736-01A1 · United States
NHLBI NIH HHS · N01HC25195 · United States
NIA NIH HHS · R01 AG028321 · United States
NHLBI NIH HHS · K24 HL 04334 · United States
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