Journal article
Rapid genotype imputation from sequence without reference panels
- Abstract:
- Inexpensive genotyping methods are essential for genetic studies requiring large sample sizes. In human studies, array-based microarrays and high-density haplotype reference panels allow efficient genotype imputation for this purpose. However, these resources are typically unavailable in non-human settings. Here we describe a method (STITCH) for imputation based only on sequencing read data, without requiring additional reference panels or array data. We demonstrate its applicability even in settings of extremely low sequencing coverage, by accurately imputing 5.7 million SNPs at a mean r2 of 0.98 in 2,073 outbred laboratory mice (0.15X sequencing coverage). In a sample of 11,670 Han Chinese (1.7X), we achieve accuracy similar to alternative approaches that require a reference panel, demonstrating that this approach can work for genetically diverse populations. Our method enables straightforward progression from low-coverage sequence to imputed genotypes, overcoming barriers that at present restrict the application of genome-wide association study technology outside humans.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Accepted manuscript, pdf, 55.7KB, Terms of use)
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(Preview, Accepted manuscript, pdf, 8.0KB, Terms of use)
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(Preview, Accepted manuscript, pdf, 419.1KB, Terms of use)
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- Publisher copy:
- 10.1038/ng.3594
Authors
+ Wellcome Trust
More from this funder
- Funding agency for:
- Myers, S
- Davies, R
- Grant:
- 098387/Z/12/Z
- 097308/Z/11/Z
- WT090532/Z/09/Z, WT083573/Z/07/Z, WT089269/Z/09/Z, WT098387/Z/12/Z
- Publisher:
- Nature Publishing Group
- Journal:
- Nature Genetics More from this journal
- Volume:
- 48
- Pages:
- 965–969
- Publication date:
- 2016-07-04
- Acceptance date:
- 2016-05-15
- DOI:
- EISSN:
-
1546-1718
- ISSN:
-
1061-4036
- Pubs id:
-
pubs:628467
- UUID:
-
uuid:b66a0727-fcdb-4dee-bc6a-8e408e43181e
- Local pid:
-
pubs:628467
- Source identifiers:
-
628467
- Deposit date:
-
2016-06-17
- ARK identifier:
Terms of use
- Copyright holder:
- Davies et al
- Copyright date:
- 2016
- Notes:
-
Author(s) retain copyright; published by Nature Publishing Group under license.
This is the accepted manuscript version of the article. The final version is available online from Nature at: [10.1038/ng.3594]
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