ArticleBMC medical genetics2007
The Framingham Heart Study 100K SNP genome-wide association study resource: overview of 17 phenotype working group reports.
Article in BMC medical genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 5 of them syntheses that pooled it.
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Who cites it
110 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Digital Clock Drawing as an Alzheimer's Disease Susceptibility Biomarker: Associations with Genetic Risk Score and APOE in Older Adults.The journal of prevention of Alzheimer's disease · 2024Pooled it
- Association of 3q13.32 variants with hip trochanter and intertrochanter bone mineral density identified by a genome-wide association study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016Pooled it
- IL21R and PTH may underlie variation of femoral neck bone mineral density as revealed by a genome-wide association study.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2010Pooled it
- Genome-wide association meta-analysis for total serum bilirubin levels.Human molecular genetics · 2009Pooled it
- Genome-wide association and follow-up replication studies identified ADAMTS18 and TGFBR3 as bone mass candidate genes in different ethnic groups.American journal of human genetics · 2009Pooled it
- Human Genetics of Adipose Dysfunction: Genomic Mechanisms and Therapeutic Opportunities in Cardiometabolic Disease.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Biomarkers of Cardiovascular Stress: A Historical Review.Journal of cardiovascular development and disease · 2026Review
- Bitter- and Umami-Related Genes are Differentially Associated with Food Group Intakes: the Framingham Heart Study.The Journal of nutrition · 2023Article
- Weak Association Between Genetic Markers of Hyperuricemia and Cardiorenal Outcomes: Insights From the STANISLAS Study Cohort With a 20-Year Follow-Up.Journal of the American Heart Association · 2022Article
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- A transcriptome-wide association study to detect novel genes for volumetric bone mineral density.Bone · 2021Article
- Association of 3p27.1 Variants with Whole Body Lean Mass Identified by a Genome-wide Association Study.Scientific reports · 2020Article
- Variants in ADIPOQ gene are linked to adiponectin levels and lung function in young males independent of obesity.PloS one · 2020Article
- Two functional variants at 6p21.1 were associated with lean mass.Skeletal muscle · 2019Article
- 70-year legacy of the Framingham Heart Study.Nature reviews. Cardiology · 2019Review
- Imputation accuracy of wheat genotyping-by-sequencing (GBS) data using barley and wheat genome references.PloS one · 2019Article
- Assessing the Associations of Blood Metabolites With Osteoporosis: A Mendelian Randomization Study.The Journal of clinical endocrinology and metabolism · 2018Article
- Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
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50 more citing papers are in PubMed but not listed here.
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36 authors.
Funding
Abstract
backgroundThe 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.
methodsAdult 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.
resultsThe 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.
conclusionWe 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.
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