Title | GRIPT: a novel case-control analysis method for Mendelian disease gene discovery. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Wang, J, Zhao, L, Wang, X, Chen, Y, Xu, M, Soens, ZT, Ge, Z, Wang, PRonghan, Wang, F, Chen, R |
Journal | Genome Biol |
Volume | 19 |
Issue | 1 |
Pagination | 203 |
Date Published | 2018 Nov 26 |
ISSN | 1474-760X |
Keywords | Case-Control Studies, Computer Simulation, Genetic Association Studies, Genetic Diseases, Inborn, Humans, Inheritance Patterns, Sensitivity and Specificity |
Abstract | Despite rapid progress of next-generation sequencing (NGS) technologies, the disease-causing genes underpinning about half of all 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. |
DOI | 10.1186/s13059-018-1579-x |
Alternate Journal | Genome Biol |
PubMed ID | 30477545 |
PubMed Central ID | PMC6258408 |
Grant List | S10 OD023469 / OD / NIH HHS / United States EY002520 / EY / NEI NIH HHS / United States R01 EY022356 / EY / NEI NIH HHS / United States T32 GM008307 / GM / NIGMS NIH HHS / United States R01 EY018571 / EY / NEI NIH HHS / United States S10OD023469 / NH / NIH HHS / United States R01EY022356 / EY / NEI NIH HHS / United States R01EY018571 / EY / NEI NIH HHS / United States P30 EY002520 / EY / NEI NIH HHS / United States |
GRIPT: a novel case-control analysis method for Mendelian disease gene discovery.
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