Applications and Limitations of Mouse Models for Understanding Human Atherosclerosis

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• 作者：Moritz von Scheidt¹ ; Yuqi Zhao² ; Zeyneb Kurt² ; Calvin Pan³ ; Lingyao Zeng¹ ; Xia Yang² ; Heribert Schunkert¹ ; ⁴ ; Aldons J. Lusis³ ; ^{jlusis@mednet.ucla.edu}
• 关键词：genome-wide association studies ; engineered mouse models ; CAD risk factors ; passenger genes ; common and complex disease ; pathway modeling ; lesions analysis ; lipoprotein metabolism ; mouse atherosclerosis genes ; diabetes
• 刊名：Cell Metabolism
• 出版年：2017
• 出版时间：7 February 2017
• 年：2017
• 卷：25
• 期：2
• 页码：248-261
• 全文大小：1838 K
• 卷排序：25

文摘

Most of the biological understanding of mechanisms underlying coronary artery disease (CAD) derives from studies of mouse models. The identification of multiple CAD loci and strong candidate genes in large human genome-wide association studies (GWASs) presented an opportunity to examine the relevance of mouse models for the human disease. We comprehensively reviewed the mouse literature, including 827 literature-derived genes, and compared it to human data. First, we observed striking concordance of risk factors for atherosclerosis in mice and humans. Second, there was highly significant overlap of mouse genes with human genes identified by GWASs. In particular, of the 46 genes with strong association signals in CAD GWASs that were studied in mouse models, all but one exhibited consistent effects on atherosclerosis-related phenotypes. Third, we compared 178 CAD-associated pathways derived from human GWASs with 263 from mouse studies and observed that the majority were consistent between the species.