Accuracy of imputation to whole-genome sequence in sheep
Abstract Background The use of whole-genome sequence (WGS) data for genomic prediction and association studies is highly desirable because the causal mutations should be present in the data. The sequencing of 935 sheep from a range of breeds provides the opportunity to impute sheep genotyped with si...
Main Authors: | Sunduimijid Bolormaa, Amanda J. Chamberlain, Majid Khansefid, Paul Stothard, Andrew A. Swan, Brett Mason, Claire P. Prowse-Wilkins, Naomi Duijvesteijn, Nasir Moghaddar, Julius H. van der Werf, Hans D. Daetwyler, Iona M. MacLeod |
---|---|
Format: | Article |
Language: | deu |
Published: |
BMC
2019-01-01
|
Series: | Genetics Selection Evolution |
Online Access: | http://link.springer.com/article/10.1186/s12711-018-0443-5 |
Similar Items
-
Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations
by: Nasir Moghaddar, et al.
Published: (2019-12-01) -
A conditional multi-trait sequence GWAS discovers pleiotropic candidate genes and variants for sheep wool, skin wrinkle and breech cover traits
by: Sunduimijid Bolormaa, et al.
Published: (2021-07-01) -
Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep
by: Mohammad Al Kalaldeh, et al.
Published: (2019-06-01) -
Genomic prediction of the polled and horned phenotypes in Merino sheep
by: Naomi Duijvesteijn, et al.
Published: (2018-05-01) -
Multiple-trait QTL mapping and genomic prediction for wool traits in sheep
by: Sunduimijid Bolormaa, et al.
Published: (2017-08-01)