ArticleBMC proceedings2009
Genome-wide association analyses of North American Rheumatoid Arthritis Consortium and Framingham Heart Study data utilizing genome-wide linkage results.
Article in BMC proceedings, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dense genotyping of immune-related disease regions identifies nine new risk loci for primary sclerosing cholangitis.Nature genetics · 2013Pooled it
- Discovery of shared genomic loci using the conditional false discovery rate approach.Human genetics · 2020Review
- Studying the effects of haplotype partitioning methods on the RA-associated genomic results from the North American Rheumatoid Arthritis Consortium (NARAC) dataset.Journal of advanced research · 2019Article
- Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.Journal of diabetes and its complications · 2018Article
- Determining Genetic Causal Variants Through Multivariate Regression Using Mixture Model Penalty.Frontiers in genetics · 2018Article
- Novel Common Variants Associated with Obesity and Type 2 Diabetes Detected Using a cFDR Method.Scientific reports · 2017Article
- Identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes.Hypertension (Dallas, Tex. : 1979) · 2014Article
- All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs.PLoS genetics · 2013Article
- Improved detection of common variants associated with schizophrenia and bipolar disorder using pleiotropy-informed conditional false discovery rate.PLoS genetics · 2013Article
- Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors.American journal of human genetics · 2013Article
- Combining information from linkage and association methods.Genetic epidemiology · 2009Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The power of genome-wide association studies can be improved by incorporating information from previous study findings, for example, results of genome-wide linkage analyses. Weighted false-discovery rate (FDR) control can incorporate genome-wide linkage scan results into the analysis of genome-wide association data by assigning single-nucleotide polymorphism (SNP) specific weights. Stratified FDR control can also be applied by stratifying the SNPs into high and low linkage strata. We applied these two FDR control methods to the data of North American Rheumatoid Arthritis Consortium (NARAC) study and the Framingham Heart Study (FHS), combining both association and linkage analysis results. For the NARAC study, we used linkage results from a previous genome scan of rheumatoid arthritis (RA) phenotype. For the FHS study, we obtained genome-wide linkage scores from the same 550 k SNP data used for the association analyses of three lipids phenotypes (HDL, LDL, TG). We confirmed some genes previously reported for association with RA and lipid phenotypes. Stratified and weighted FDR methods appear to give improved ranks to some of the replicated SNPs for the RA data, suggesting linkage scan results could provide useful information to improve genome-wide association studies.
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Registered trials
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