遗传分析研讨会16问题1的数据，类风湿性关节炎数据的关联分析。
Data for Genetic Analysis Workshop 16 Problem 1, association analysis of rheumatoid arthritis data.
作者信息
Amos Christopher I, Chen Wei Vivien, Seldin Michael F, Remmers Elaine F, Taylor Kimberly E, Criswell Lindsey A, Lee Annette T, Plenge Robert M, Kastner Daniel L, Gregersen Peter K
机构信息
Departments of Epidemiology and Biomathematics, University of Texas, MD Anderson Cancer Center, 1155 Pressler Street, Houston, Texas 77030, USA.
出版信息
BMC Proc. 2009 Dec 15;3 Suppl 7(Suppl 7):S2. doi: 10.1186/1753-6561-3-s7-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.
摘要
针对遗传分析研讨会16的问题1，我们提供了类风湿性关节炎全基因组关联分析的数据。使用Illumina 550k平台对868例病例和1194例对照进行了单核苷酸多态性（SNP）基因分型数据检测。此外，还提供了DRB1等位基因基因分型的表型数据，这些数据根据类风湿性关节炎共享表位、抗环瓜氨酸肽水平和类风湿因子IgM水平进行分类。利用这些数据可以解决几个问题，包括使用单个SNP或单倍型进行遗传关联分析，以及对定性和定量因素进行SNP的基因-基因和遗传分析。
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