Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses

Autor: Bernt Guldbrandtsen, Didier Boichard, Goutam Sahana, Emre Karaman, Aoxing Liu, Yachun Wang, Guosheng Su, Mogens Sandø Lund, Sébastien Fritz, U. S. Nielsen, Gert Pedersen Aamand

Publikováno v: Liu, A, Lund, M S, Boichard, D, Karaman, E, Guldbrandtsen, B, Fritz, S, Aamand, G P, Nielsen, U S, Sahana, G, Wang, Y & Su, G 2020, ' Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses ', Genetics Selection Evolution, vol. 52, no. 1, 48 . https://doi.org/10.1186/s12711-020-00568-0
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution, Vol 52, Iss 1, Pp 1-17 (2020)
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2020, 52 (1), pp.48. ⟨10.1186/s12711-020-00568-0⟩

International audience; Background: Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs using a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b67700b69dd3cfd3eca876082f97ddca
https://pure.au.dk/portal/da/publications/weighted-singlestep-genomic-best-linear-unbiased-prediction-integrating-variants-selected-from-sequencing-data-by-association-and-bioinformatics-analyses(af14ec23-4867-4a01-90ec-906cb9f88485).html

Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data

Autor: Mogens Sandø Lund, Didier Boichard, Gert Pedersen Aamand, Guosheng Su, U. S. Nielsen, Aoxing Liu, Yachun Wang, Sébastien Fritz, Emre Karaman

Publikováno v: Liu, A, Lund, M S, Boichard, D A, Karaman, E, Fritz, S, Aamand, G P, Nielsen, U S, Wang, Y & Su, G 2019, ' Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data ', Heredity . https://doi.org/10.1038/s41437-019-0246-7
Heredity
Heredity, Nature Publishing Group, 2020, 124 (1), pp.37-49. ⟨10.1038/s41437-019-0246-7⟩
Heredity 1 (124), 37-49. (2020)

International audience; The availability of whole genome sequencing (WGS) data enables the discovery of causative single nucleotide polymorphisms (SNPs) or SNPs in high linkage disequilibrium with causative SNPs. This study investigated effects of in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1619c46b4bd93c7a4fd333599e5f218e
https://pure.au.dk/portal/da/publications/improvement-of-genomic-prediction-by-integrating-additional-single-nucleotide-polymorphisms-selected-from-imputed-whole-genome-sequencing-data(dc985d4f-a3a6-4bb5-9fa1-caf822c13b85).html

Including different groups of genotyped females for genomic prediction in a Nordic Jersey population

Autor: Per Madsen, Just Jensen, Hongding Gao, U. S. Nielsen, Gert Pedersen Aamand, K. Byskov, Guosheng Su

Publikováno v: Gao, H, Madsen, P, Nielsen, U S, Aamand, G P, Su, G, Byskov, K & Jensen, J 2015, ' Including different groups of genotyped females for genomic prediction in a Nordic Jersey population ', Journal of Dairy Science, vol. 98, no. 12, 1049 . https://doi.org/10.3168/jds.2015-9947

Including genotyped females in a reference population (RP) is an obvious way to increase the RP in genomic selection, especially for dairy breeds of limited population size. However, the incorporation of these females must be conducted cautiously bec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a434f01f4aa758580dacb0b83f5725e
https://doi.org/10.3168/jds.2015-9947

Association analysis for young stock survival index with imputed whole-genome sequence variants in Nordic Holstein cattle

Autor: Xiaoping Wu, U. S. Nielsen, Goutam Sahana, Bernt Guldbrandtsen, Mogens Sandø Lund

Publikováno v: Wu, X, Guldbrandtsen, B, Nielsen, U S, Lund, M S & Sahana, G 2017, ' Association analysis for young stock survival index with imputed whole-genome sequence variants in Nordic Holstein cattle ', Journal of Dairy Science, vol. 100, no. 8, pp. 6356-6370 . https://doi.org/10.3168/jds.2017-12688

Identification of the genetic variants associated with calf survival in dairy cattle will aid in the elimination of harmful mutations from the cattle population and the reduction of calf and young stock mortality rates. We used de-regressed estimated

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https://pure.au.dk/portal/da/publications/association-analysis-for-young-stock-survival-index-with-imputed-wholegenome-sequence-variants-in-nordic-holstein-cattle(b6d66fbf-7926-4e1f-9536-e8cd1ea9712f).html

Across breed multi-trait random regression genomic predictions in the Nordic Red dairy cattle

Autor: Ismo Strandén, M. L. Makgahlela, Jarmo Juga, U. S. Nielsen, Minna Koivula, Esa Mäntysaari, Mikko J. Sillanpää

Publikováno v: Journal of Animal Breeding and Genetics. 130:10-19

The current study evaluates reliability of genomic predictions in selection candidates using multi-trait random regression model, which accounts for interactions between marker effects and breed of origin in the Nordic Red dairy cattle (RDC). The pop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca481f0d917d780d1e2e1068af5fbd9c
https://doi.org/10.1111/j.1439-0388.2012.01017.x