Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis data

Christopher I Amos; Wei Vivien Chen; Michael F Seldin; Elaine F Remmers; Kimberly E Taylor; Lindsey A Criswell; Annette T Lee; Robert M Plenge; Daniel L Kastner; Peter K Gregersen

doi:10.1186/1753-6561-3-s7-s2

Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis data

BMC Proc. 2009 Dec 15;3 Suppl 7(Suppl 7):S2. doi: 10.1186/1753-6561-3-s7-s2.

Authors

Christopher I Amos¹, Wei Vivien Chen, Michael F Seldin, Elaine F Remmers, Kimberly E Taylor, Lindsey A Criswell, Annette T Lee, Robert M Plenge, Daniel L Kastner, Peter K Gregersen

Affiliation

¹ Departments of Epidemiology and Biomathematics, University of Texas, MD Anderson Cancer Center, 1155 Pressler Street, Houston, Texas 77030, USA. camos@mdanderson.org.

Abstract

For Genetic Analysis Workshop 16 Problem 1, we provided data for genome-wide association analysis of rheumatoid arthritis. Single-nucleotide polymorphism (SNP) genotype data were provided for 868 cases and 1194 controls that had been assayed using an Illumina 550 k platform. In addition, phenotypic data were provided from genotyping DRB1 alleles, which were classified according to the rheumatoid arthritis shared epitope, levels of anti-cyclic citrullinated peptide, and levels of rheumatoid factor IgM. Several questions could be addressed using the data, including analysis of genetic associations using single SNPs or haplotypes, as well as gene-gene and genetic analysis of SNPs for qualitative and quantitative factors.

Abstract

Grants and funding