minimac2: faster genotype imputation
- PMID: 25338720
- PMCID: PMC4341061
- DOI: 10.1093/bioinformatics/btu704
minimac2: faster genotype imputation
Abstract
Genotype imputation is a key step in the analysis of genome-wide association studies. Upcoming very large reference panels, such as those from The 1000 Genomes Project and the Haplotype Consortium, will improve imputation quality of rare and less common variants, but will also increase the computational burden. Here, we demonstrate how the application of software engineering techniques can help to keep imputation broadly accessible. Overall, these improvements speed up imputation by an order of magnitude compared with our previous implementation.
Availability and implementation: minimac2, including source code, documentation, and examples is available at http://genome.sph.umich.edu/wiki/Minimac2
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
References
-
- Francioli L.C., et al. . (2014) Whole-genome sequence variation, population structure and demographic history of the Dutch population. Nat. Genet. , 46, 818–825. - PubMed
-
- Gudbjartsson D.F., et al. . (2000) Allegro, a new computer program for multipoint linkage analysis. Nat. Genet., 25, 12–13. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
