A network based covariance test for detecting multivariate eQTL in saccharomyces cerevisiae
Publication in refereed journal

香港中文大學研究人員

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摘要Background: Expression quantitative trait locus (eQTL) analysis has been widely used to understand how genetic variations affect gene expressions in the biological systems. Traditional eQTL is investigated in a pair-wise manner in which one SNP affects the expression of one gene. In this way, some associated markers found in GWAS have been related to disease mechanism by eQTL study. However, in real life, biological process is usually performed by a group of genes. Although some methods have been proposed to identify a group of SNPs that affect the mean of gene expressions in the network, the change of co-expression pattern has not been considered. So we propose a process and algorithm to identify the marker which affects the co-expression pattern of a pathway. Considering two genes may have different correlations under different isoforms which is hard to detect by the linear test, we also consider the nonlinear test.
著者Yuan HL, Li ZY, Tang NLS, Deng MH
會議名稱14th Asia Pacific Bioinformatics Conference (APBC)
會議開始日11.01.2016
會議完結日13.01.2016
會議地點San Francisco
期刊名稱BMC Systems Biology
詳細描述doi: 10.1186/s12918-015-0245-0..
出版年份2016
月份1
日期11
卷號10
出版社BIOMED CENTRAL LTD
國際標準期刊號1752-0509
語言英式英語
關鍵詞eQTL; Isoform; Pathway
Web of Science 學科類別Mathematical & Computational Biology

上次更新時間 2020-03-08 於 04:42