Genome-wide association analysis of rheumatoid arthritis data via haplotype sharing.

Journal Article (Journal Article)

We present computationally simple association tests based on haplotype sharing that can be easily applied to genome-wide association studies, while allowing use of fast (but not likelihood-based) haplotyping algorithms, and properly accounting for the uncertainty introduced by using inferred haplotypes. We also give haplotype sharing analyses that adjust for population stratification. We apply our methods to a genome-wide association study of rheumatoid arthritis available as Problem 1 of Genetic Analysis Workshop 16. In addition to the HLA region on chromosome 6, we find genome-wide significant signals at 7q33 and 13q31.3. These regions contain genes with interesting potential connections with rheumatoid arthritis and are not identified using single single-nucleotide polymorphism methods.

Full Text

Duke Authors

Cited Authors

  • Allen, AS; Satten, GA

Published Date

  • December 15, 2009

Published In

Volume / Issue

  • 3 Suppl 7 /

Start / End Page

  • S30 -

PubMed ID

  • 20018021

Pubmed Central ID

  • PMC2795928

Electronic International Standard Serial Number (EISSN)

  • 1753-6561

Digital Object Identifier (DOI)

  • 10.1186/1753-6561-3-s7-s30


  • eng

Conference Location

  • England