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

Documentation

Links