Publication:

Data for Genetic Analysis Workshop 16 Problem 1, Association Analysis of Rheumatoid Arthritis Data

Thumbnail Image

Open/View Files

2795916.pdf (184.47 KB)

Date

2009

Authors

Published Version

10.1186/1753-6561-3-s7-s2

Journal Title

Journal ISSN

Volume Title

Publisher

BioMed Central
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Amos, Christopher I., Wei Vivien Chen, Michael F. Seldin, Elaine F. Remmers, Kimberly E. Taylor, Lindsey A. Criswell, Annette T. Lee, Robert M. Plenge, Daniel L. Kastner, and Peter K. Gregersen. 2009. Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis data. BMC Proceedings 3(Suppl. 7): S2.

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.

Description

Other Available Sources

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795916/pdf/
 http://www.biomedcentral.com/1753-6561/3/S7/S2

Research Data

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

URI

http://nrs.harvard.edu/urn-3:HUL.InstRepos:10139320

Collections

HMS Scholarly Articles

Endorsement

Review

Supplemented By

Related Stories