Assessing accuracy of imputation using different SNP panel densities in a multi-breed sheep population-Reference-Cited by-同舟云学术

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Assessing accuracy of imputation using different SNP panel densities in a multi-breed sheep population

Published:2016-09-23 Issue:1 Volume:48 Page:
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genet Sel Evol

Author:

Ventura Ricardo V.,Miller Stephen P.,Dodds Ken G.,Auvray Benoit,Lee Michael,Bixley Matthew,Clarke Shannon M.,McEwan John C.

Funder

New Zealand Ministry of Business, Innovation and Employment

Beef + Lamb New Zealand

AgResearch

Ministry of Primary Industries, New Zealand (NZ)

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics

Link

http://link.springer.com/content/pdf/10.1186/s12711-016-0244-7.pdf

Reference32 articles.

1. Ventura RV, Lu D, Schenkel S, Wang Z, Li C, Miller SP. Impact of reference population on accuracy of imputation from 6K to 50K single nucleotide polymorphism chips in purebred and crossbreed beef cattle. J Anim Sci. 2014;92:1433–44.

2. Roberts A, McMillan L, Wang W, Parker J, Rusyn I, Threadgill D. Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows. Bioinformatics. 2007;23:i401–7.

3. Su SY, White J, Balding DJ, Coin LJM. Inference of haplotypic phase and missing genotypes in polyploid organisms and variable copy number genomic regions. BMC Bioinformatics. 2008;9:513.

4. Pryce JE, Wales WJ, de Haas Y, Veerkamp RF, Hayes BJ. Genomic selection for feed efficiency in dairy cattle. Animal. 2014;8:1–10.

5. Matukumalli LK, Lawley CT, Schnabel RD, Taylor JF, Allan MF, Heaton MP, et al. Development and characterization of a high density SNP genotyping assay for cattle. PLoS One. 2009;4:e5350.

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