Abstract
We presented a deletion genotyping (copy-number estimation) method that leverages population-scale whole genome sequence variants data from 1K bull genomes project (1KBGP) to build reference panel for imputation. To estimate deletion-genotype likelihood, we extracted read-depth (RD) data of all the bi-allelic variants within a given deletion locus, and fitted a Gaussian mixture model to the observed RD. We validated our method on brachyspina associated deletion of chromosome 21 (Chr21:21,184,869-21,188,202), which was segregating in our deletion-discovery population of Holstein cattle. We analysed the RD data of 55 progeny tested Holstein bulls with published recessive code for brachyspina (8 carriers and 47 non-carriers) along with 5 carriers from the discovery population (confirmed by assembling the breakpoint sequences). Using our approach we were able to genotype the carriers and non-carriers with 95% accuracy, and a false discovery rate of 18.8%. Keywords: read-depth genotyping, Gaussian mixture model, deletion, copy number variation, dairy cattle
Originalsprog | Engelsk |
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Titel | Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 : Volume Electronic Poster Session - Molecular Genetics 3 |
Antal sider | 4 |
Vol/bind | 11 |
Publikationsdato | 2018 |
Artikelnummer | 662 |
Status | Udgivet - 2018 |
Begivenhed | The 11th World Congress on Genetics Applied to Livestock Production - Aotea Centre, Auckland 1010, Auckland, New Zealand Varighed: 11 feb. 2018 → 16 feb. 2018 Konferencens nummer: 11 |
Konference
Konference | The 11th World Congress on Genetics Applied to Livestock Production |
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Nummer | 11 |
Lokation | Aotea Centre, Auckland 1010 |
Land/Område | New Zealand |
By | Auckland |
Periode | 11/02/2018 → 16/02/2018 |