TrioCaller
TrioCaller performs LD-aware genotype calling and phasing by integrating linkage disequilibrium and familial transmission information to improve genotype inference in family-based sequencing studies.
Key Features:
- LD-aware genotype calling: Utilizes linkage disequilibrium (LD) patterns to improve genotype inference, particularly for low to modest coverage sequence data.
- Familial transmission integration: Incorporates familial transmission patterns to enhance phasing and genotype calling in nuclear and multi-generational family structures beyond simple parent-offspring trios.
- External reference panel support: Incorporates external reference panels to increase genotype call accuracy when sample sizes are limited.
- Simulation-based validation: Demonstrated in simulation studies to improve genotype calling accuracy and reduce phasing and Mendelian errors at low to modest coverage.
- Empirical performance on WGS cohort: Shown to outperform methods that do not use family constraints or LD on a whole genome sequencing dataset of 1,339 individuals from the Minnesota Center for Twin and Family Research.
Scientific Applications:
- Family-based sequencing projects: Applicable to analyses of complex familial datasets requiring accurate genotype calling and phasing.
- Variant discovery and genetic research: Supports detection and study of common and rare genetic variants in human genetics research.
Methodology:
Integrates linkage disequilibrium patterns with familial transmission information and can incorporate external reference panels for LD-aware genotype calling and phasing.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Chang L, Li B, Fang Z, Vrieze S, McGue M, Iacono WG, Tseng GC, Chen W. A computational method for genotype calling in family-based sequencing data. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0880-5. PMID:26772743. PMCID:PMC4715317.
PMID: 26772743
PMCID: PMC4715317
Funding: - National Institutes of Health: R01DA024417, R01HG006857, R01HG007358