Lin Yanzhu, Zhang Min, Wang Libo, Pungpapong Vitara, Fleet James C, Zhang Dabao
Department of Statistics, Purdue University, West Lafayette, Indiana 47907, USA. YL:
BMC Proc. 2009 Dec 15;3 Suppl 7(Suppl 7):S20. doi: 10.1186/1753-6561-3-s7-s20.
Genome-wide associations between single-nucleotide polymorphisms and clinical traits were simultaneously conducted using penalized orthogonal-components regression. This method was developed to identify the genetic variants controlling phenotypes from a massive number of candidate variants. By investigating the association between all single-nucleotide polymorphisms to the phenotype of antibodies against cyclic citrullinated peptide using the rheumatoid arthritis data provided by Genetic Analysis Workshop 16, we identified genetic regions which may contribute to the pathogenesis of rheumatoid arthritis. Bioinformatic analysis of these genomic regions showed most of them harbor protein-coding gene(s).
使用惩罚正交分量回归同时进行单核苷酸多态性与临床特征之间的全基因组关联研究。开发此方法是为了从大量候选变异中识别控制表型的遗传变异。通过利用遗传分析研讨会16提供的类风湿关节炎数据，研究所有单核苷酸多态性与抗环瓜氨酸肽抗体表型之间的关联，我们确定了可能与类风湿关节炎发病机制的遗传区域。对这些基因组区域的生物信息学分析表明，其中大多数含有蛋白质编码基因。
