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A genome-wide scan for common genetic variants with a large influence on warfarin maintenance dose

This was a genome wide association study to determine whether common single nucleotide polymorphisms (SNPs) in genes have an effect on warfarin dosing. White patients from an index warfarin population (n = 181) and 2 independent replication patient populations (n = 374) were studied for approximately 550,000 SNPs. Association analyses were performed using a linear regression method, testing the additive effect of each SNP.

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Genome-wide combined case-control study of rheumatoid arthritis in the NARAC and EIRA datasets

SNP data are from a genome-wide combined case-control study of rheumatoid arthritis in the North American Rheumatoid Arthritis Consortium (NARAC) and the Swedish Epidemiological Investigation of Rheumatoid Arthritis (EIRA). This is a study of 317,503 single-nucleotide polymorphisms (SNPs) in 1,522 case subjects with rheumatoid arthritis and 1,850 matched control subjects on Illumina Infinium HumanHap550, HumanHap300 and HumanHap240S arrays. The primary analyses "were performed on the combined data set from NARAC and EIRA with the use of structured association within homogeneous clusters derived through identity-by-state similarity, implemented in the PLINK tool set as a Cochran-Mantel-Haenszel stratified analysis".

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Multiple Genetic Loci for Bone Mineral Density and Fractures - Hip

In this study a quantitative trait analysis of data from 5861 Icelandic subjects (the discovery set), testing for an association between 301,019 single-nucleotide polymorphisms (SNPs) and bone mineral density of the hip and lumbar spine was performed. For each SNP, a linear regression analysis, with the genotype as an additive covariate and standardized bone mineral density as the response variable, was fitted to test for association.

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Multiple Genetic Loci for Bone Mineral Density and Fractures - Lumbar Spine

In this study a quantitative trait analysis of data from 5861 Icelandic subjects (the discovery set), testing for an association between 301,019 single-nucleotide polymorphisms (SNPs) and bone mineral density of the hip and lumbar spine was performed. For each SNP, a linear regression analysis, with the genotype as an additive covariate and standardized bone mineral density as the response variable, was fitted to test for association.

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