VARPRISM
VARPRISM integrates functional variant prioritization with gene-level likelihood ratio testing to detect and prioritize de novo exonic mutations that influence disease risk.
Key Features:
- Functional Variant Prioritization: Evaluates the impact of exonic mutations on protein sequences and estimates whether variants are likely benign or damaging.
- Gene-level Likelihood Ratio Testing: Conducts likelihood ratio tests at the gene level to assess the association between de novo mutations and disease risk.
- Integration to Increase Statistical Power: Incorporates functional predictions into association testing to increase the statistical power to detect disease-influencing mutations.
- Application to Simons Simplex Collection: Applied to 2,508 parent-offspring autism trios from the Simons Simplex Collection, replicating findings for 44 previously implicated autism genes and identifying 20 additional candidate genes at false discovery rate < 0.3.
- Identification of Novel Candidate Genes: Reported novel candidate genes including MYO1E, KCND3, PDCD1, DLX3, and TSPAN4.
Scientific Applications:
- Autism spectrum disorder: Enhances detection and prioritization of de novo exonic mutations to pinpoint genes associated with autism risk.
- Complex genetic disease studies: Applicable to studies of complex genetic diseases in which de novo mutations contribute to disease risk.
Methodology:
Assesses functional consequences of exonic mutations on protein sequences and applies gene-level likelihood ratio tests, integrating functional variant prioritization into the statistical association framework.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Perl
- Added:
- 5/7/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Hu H, Coon H, Li M, Yandell M, Huff CD. VARPRISM: incorporating variant prioritization in tests of de novo mutation association. Genome Medicine. 2016;8(1). doi:10.1186/s13073-016-0341-9. PMID:27562213. PMCID:PMC4997702.
PMID: 27562213
PMCID: PMC4997702
Funding: - National Human Genome Research Institute: R01 GM104390
- National Institutes of Health: 1UM1HL128711, R01 MH094400