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Open Access 01-12-2009 | Proceedings

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

Authors: 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

Published in: BMC Proceedings | Special Issue 7/2009

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.

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Title: Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis data
Authors: 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
Publication date: 01-12-2009
Publisher: BioMed Central
Published in: BMC Proceedings / Issue Special Issue 7/2009
Electronic ISSN: 1753-6561
DOI: https://doi.org/10.1186/1753-6561-3-S7-S2

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

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