Wilcox Marsha A, Li Zhong, Tapper Will, Browning Sharon, Curtin Karen, Ding Jie, Ding Yuejing, Gagnon France, He Qimei, Kuo Tai-Yue, Li Mingyao, Matthew George, Mei Ling, Rao Shaoqi, Shaw Jim, Wei Zhi, Yu Zhaoxia, Zhang Weihua, Zheng Tian, Zhu Guohua
i3 Drug Safety, 950 Winter Street, Waltham, MA 02451, USA.
Genet Epidemiol. 2007;31 Suppl 1:S12-21. doi: 10.1002/gepi.20276.
The papers in presentation group 2 of Genetic Analysis Workshop 15 (GAW15) conducted association analyses of rheumatoid arthritis data. The analyses were carried out primarily in the data provided by the North American Rheumatoid Arthritis Consortium (NARAC). One group conducted analyses in the data provided by the Canadian Rheumatoid Arthritis Genetics Study (CRAGS). Analysis strategies included genome-wide scans, the examination of candidate genes, and investigations of a region of interest on chromosome 18q21. Most authors employed relatively new methods, proposed extensions of existing methods, or introduced completely novel methods for aspects of association analysis. There were several common observations; a group of papers using a variety of methods found stronger association, on chromosomes 6 and 18 and in candidate gene PTPN22 among women with early onset. Generally, models that considered haplotypes or multiple markers showed stronger evidence for association than did single marker analyses.
遗传分析研讨会15(GAW15)报告组2的论文对类风湿性关节炎数据进行了关联分析。这些分析主要是在北美类风湿性关节炎联盟(NARAC)提供的数据中进行的。一组在加拿大类风湿性关节炎遗传学研究(CRAGS)提供的数据中进行了分析。分析策略包括全基因组扫描、候选基因检测以及对18号染色体q21区域的研究。大多数作者采用了相对较新的方法,对现有方法提出了扩展,或者在关联分析方面引入了全新的方法。有几个常见的观察结果;一组使用各种方法的论文发现,在早发性女性中,6号和18号染色体以及候选基因PTPN22上的关联更强。一般来说,考虑单倍型或多个标记的模型比单标记分析显示出更强的关联证据。