Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Chem Biodivers. 2012 May;9(5):935-44. doi: 10.1002/cbdv.201100384.
The rapid advancement of high-throughput genomic assay technologies has generated large amounts of diverse genomic data in disparate human populations and diseases. These data provide a unique opportunity for biomedical investigators to systematically study multifaceted aspects of genes' involvement in the biological processes underlying important traits from the systems biology perspective. An important component in such a study is the inference that integrates diverse lines of statistical evidence for gene-trait association from the observed trait values and the massive numbers of measured genomic features. A novel integrated statistical analysis procedure is developed in this paper and is illustrated by an application in studying childhood leukemia.
高通量基因组检测技术的快速发展，在不同的人群和疾病中产生了大量不同的基因组数据。这些数据为生物医学研究人员提供了一个独特的机会，从系统生物学的角度出发，系统地研究基因在重要性状的生物学过程中的多方面参与。此类研究的一个重要组成部分是推断，它整合了从观察到的性状值和大量测量的基因组特征中获得的基因-性状关联的多种统计证据。本文提出了一种新的综合统计分析方法，并通过研究儿童白血病的应用来说明。
