Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 651

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

minimac2: faster genotype imputation

Open access
Fuchsberger, Christian, Abecasis, Gonçalo R., Hinds, David A.·2015·Bioinformatics

Abstract

Summary: 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 Contact: cfuchsb@umich.edu, goncalo@umich.edu

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/bioinformatics/btu704

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Research works printed but not linked: 7

  1. Cottingham, 1993, Faster sequential genetic linkage computations, Am. J. Hum. Genet., 53, 252
  2. Francioli, 2014, Whole-genome sequence variation, population structure and demographic history of the Dutch population, Nat. Genet., 46, 818, 10.1038/ng.3021 · DOI · Paper page
  3. Gudbjartsson, 2000, Allegro, a new computer program for multipoint linkage analysis, Nat. Genet., 25, 12, 10.1038/75514 · DOI · Paper page
  4. Hudson, 2002, Generating samples under a Wright-Fisher neutral model of genetic variation, Bioinformatics, 18, 337, 10.1093/bioinformatics/18.2.337 · DOI · Paper page
  5. Li, 2009, Genotype imputation, Annu. Rev. Genom. Hum. Genet., 10, 387, 10.1146/annurev.genom.9.081307.164242 · DOI · Paper page
  6. Morrison, 2013, Whole-genome sequence-based analysis of high-density lipoprotein cholesterol, Nat. Genet., 45, 899, 10.1038/ng.2671 · DOI
  7. Press, 2007, Numerical Recipes: The Art of Scientific Computing

Cited by

See all 651

Metadata

Authors
Fuchsberger, C., Abecasis, G. R., & Hinds, D. A.
Venue
Bioinformatics
Published
2014-10-22
Volume
31
Issue
5
Pages
782-784
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2163104142
Cited by
651
References
7
FWCI
22.78
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: minimac2: faster genotype imputation. https://app.cochat.ai/papers/10.1093/bioinformatics/btu704
The paper
Fuchsberger, C., Abecasis, G. R., & Hinds, D. A. (2015). minimac2: faster genotype imputation. Bioinformatics. https://doi.org/10.1093/bioinformatics/btu704

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.