minimac 2

minimac 2 performs genotype imputation using phased genotypes and large reference haplotype panels to enable high-quality imputation for genome-wide association studies.


Key Features:

  • Phased genotype input: Operates on phased genotypes for imputation.
  • Large reference panel support: Manages reference panels containing hundreds or thousands of haplotypes.
  • Compatibility with major reference datasets: Designed to work with very large panels such as The 1000 Genomes Project and the Haplotype Consortium.
  • Improved rare variant imputation: Enhances imputation quality for rare and less common genetic variants.
  • Computational optimization: Addresses computational challenges posed by very large reference panels through software engineering optimizations.
  • Speed enhancement: Achieves an order-of-magnitude speed improvement compared to its predecessor.
  • Reduced computational cost: Lowers computational cost for large-scale imputation tasks.

Scientific Applications:

  • Genome-wide association studies (GWAS): Enables imputation of missing genotypes to increase marker density in GWAS.
  • Rare variant analysis: Improves detection and analysis of rare and less common variants via higher-quality imputation.
  • Large-scale genomic studies: Supports analyses that require imputation from very large reference panels.
  • Genetic association discovery: Facilitates identification of associations between genetic variants and traits.

Methodology:

Operates on phased genotypes and manages reference panels containing hundreds or thousands of haplotypes, employing software engineering optimizations to achieve an order-of-magnitude speed improvement and reduced computational cost.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
C++
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Fuchsberger C, Abecasis GR, Hinds DA. minimac2: faster genotype imputation. Bioinformatics. 2014;31(5):782-784. doi:10.1093/bioinformatics/btu704. PMID:25338720. PMCID:PMC4341061.

Documentation

Links