Zhao Jing Hua, Luan Jian'an, Baksh M Fazil, Tan Qihua
MRC Epidemiology Unit, Institute of Metabolic Science, Box 285, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, UK.
BMC Proc. 2007;1 Suppl 1(Suppl 1):S52. doi: 10.1186/1753-6561-1-s1-s52. Epub 2007 Dec 18.
The Genetic Analysis Workshop 15 (GAW15) Problem 1 contained baseline expression levels of 8793 genes in immortalized B cells from 194 individuals in 14 Centre d'Etude du Polymorphisme Humain (CEPH) Utah pedigrees. Previous analysis of the data showed linkage and association and evidence of substantial individual variations. In particular, correlation was examined on expression levels of 31 genes and 25 target genes corresponding to two master regulatory regions. In this analysis, we apply Bayesian network analysis to gain further insight into these findings. We identify strong dependences and therefore provide additional insight into the underlying relationships between the genes involved. More generally, the approach is expected to be applicable for integrated analysis of genes on biological pathways.
遗传分析研讨会15（GAW15）问题1包含了来自14个犹他州人类多态性研究中心（CEPH）家系中194个人的永生化B细胞中8793个基因的基线表达水平。之前对这些数据的分析显示了连锁和关联以及大量个体差异的证据。特别是，对31个基因和与两个主调控区域相对应的25个靶基因的表达水平进行了相关性研究。在本分析中，我们应用贝叶斯网络分析来进一步深入了解这些发现。我们识别出了强依赖性，从而为所涉及基因之间的潜在关系提供了更多见解。更一般地说，该方法有望应用于生物途径上基因的综合分析。
