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GRIPT: A novel case-control analysis method for Mendelian disease gene discovery

By Jun Wang, Li Zhao, Xia Wang, Yong Chen, Mingchu Xu, Zachry T. Soens, Zhongqi Ge, Peter Ronghan Wang, Fei Wang, Rui Chen

Posted 29 Oct 2018
bioRxiv DOI: 10.1101/454975 (published DOI: 10.1186/s13059-018-1579-x)

Despite rapid progress of next-generation sequencing (NGS) technologies, the disease-causing genes underpinning about 50% of Mendelian diseases remain elusive. One main challenge is the high genetic heterogeneity of Mendelian diseases in which similar phenotypes are caused by different genes and each gene only accounts for a small proportion of the patients. To overcome this gap, we developed a novel method, the Gene Ranking, Identification and Prediction Tool (GRIPT), for performing case-control analysis of NGS data. Analyses of simulated and real datasets show that GRIPT is well-powered for disease gene discovery, especially for diseases with high locus heterogeneity.

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