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VIPdb, a genetic Variant Impact Predictor Database
Author(s) -
Hu Zhiqiang,
Yu Changhua,
Furutsuki Mabel,
Andreoletti Gaia,
Ly Melissa,
Hoskins Roger,
Adhikari Aashish N.,
Brenner Steven E.
Publication year - 2019
Publication title -
human mutation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.981
H-Index - 162
eISSN - 1098-1004
pISSN - 1059-7794
DOI - 10.1002/humu.23858
Subject(s) - biology , computational biology , genetic variants , human genome , human genetics , genome , genetics , database , computer science , gene , genotype
Genome sequencing identifies vast number of genetic variants. Predicting these variants' molecular and clinical effects is one of the preeminent challenges in human genetics. Accurate prediction of the impact of genetic variants improves our understanding of how genetic information is conveyed to molecular and cellular functions, and is an essential step towards precision medicine. Over one hundred tools/resources have been developed specifically for this purpose. We summarize these tools as well as their characteristics, in the genetic Variant Impact Predictor Database (VIPdb). This database will help researchers and clinicians explore appropriate tools, and inform the development of improved methods. VIPdb can be browsed and downloaded at https://genomeinterpretation.org/vipdb.