Inferring the molecular and phenotypic impact of amino acid variants with MutPred2
University of Washington Medical Center · Indiana University Bloomington · +6 more institutions
Abstract
Identifying pathogenic variants and underlying functional alterations is challenging. To this end, we introduce MutPred2, a tool that improves the prioritization of pathogenic amino acid substitutions over existing methods, generates molecular mechanisms potentially causative of disease, and returns interpretable pathogenicity score distributions on individual genomes. Whilst its prioritization performance is state-of-the-art, a distinguishing feature of MutPred2 is the probabilistic modeling of variant impact on specific aspects of protein structure and function that can serve to guide experimental studies of phenotype-altering variants. We demonstrate the utility of MutPred2 in the identification of the…
Citation impact
- FWCI
- 65.89
- Percentile
- 100%
- References
- 105
Authors
12- VPVikas Pejaver
University of Washington Medical Center, Indiana University Bloomington
- JUJorge Urresti
University of California San Diego
- JLJose Lugo-Martinez
Indiana University Bloomington, Carnegie Mellon University
- KAKymberleigh A. Pagel
Johns Hopkins University, Indiana University Bloomington
- GNGuan Ning Lin
Shanghai Jiao Tong University, University of California San Diego
Topics & keywords
- Computational biology
- Prioritization
- Phenotype
- Biology
- Identification (biology)
- Mechanism (biology)
- Genetics
- Disease
Funding
- APAlfred P. Sloan Foundation
- SFSimons FoundationAward: 345469
- GAGordon and Betty Moore Foundation
- WRWashington Research Foundation
- NINational Institutes of HealthAwards: MH104766, MH105524, MH109885, R01 MH105524, R01 LM009722, LM009722, R01 MH109885
- NINational Institute of Mental HealthAwards: R01 MH109885, R01 MH105524, R01 MH076431, R01 MH104766
- UNU.S. National Library of MedicineAwards: R01 LM009722, K99 LM012992