Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits

Autor: Grum Gebreyesus, Mogens S. Lund, Bart Buitenhuis, Henk Bovenhuis, Nina A. Poulsen, Luc G. Janss

Publikováno v: Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-13 (2017)

Abstract Background Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to costly procedures and a

Externí odkaz: https://doaj.org/article/1cd5c22224524f08940efd34c1a76141

Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits

Autor: Bart Buitenhuis, Luc G. Janss, Grum Gebreyesus, Henk Bovenhuis, Nina Aagaard Poulsen, Mogens Sandø Lund

Publikováno v: Genetics Selection Evolution 49 (2017) 1
Gebreyesus, G, Lund, M S, Buitenhuis, A J, Bovenhuis, H, Poulsen, N A & Janss, L 2017, ' Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits ', Genetics Selection Evolution, vol. 49, 89 . https://doi.org/10.1186/s12711-017-0364-8
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2017, 49 (1), pp.89. ⟨10.1186/s12711-017-0364-8⟩
Genetics Selection Evolution, 49(1)
Genetics Selection Evolution, Vol 49, Iss 1, Pp 1-13 (2017)

International audience; AbstractBackgroundAccurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a557dd926746d5519967280c82a21a90
https://research.wur.nl/en/publications/modeling-heterogeneous-covariances-from-adjacent-snp-groups-impro

SNP annotation-based whole genomic prediction and selection: an application to feed efficiency and its component traits in pigs

Autor: D N, Do, L L G, Janss, J, Jensen, H N, Kadarmideen

Publikováno v: Journal of animal science. 93(5)

The study investigated genetic architecture and predictive ability using genomic annotation of residual feed intake (RFI) and its component traits (daily feed intake [DFI], ADG, and back fat [BF]). A total of 1,272 Duroc pigs had both genotypic and p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::c399a4514ebc8e3c1a306af5a9dd1a5c
https://pubmed.ncbi.nlm.nih.gov/26020301

C1 esterase inhibitor concentrate in 1085 Hereditary Angioedema attacks--final results of the I.M.P.A.C.T.2 study

Autor: T J, Craig, A K, Bewtra, S L, Bahna, D, Hurewitz, L C, Schneider, R J, Levy, J N, Moy, J, Offenberger, K W, Jacobson, W H, Yang, F, Eidelman, G, Janss, F R, Packer, M A, Rojavin, T, Machnig, H-O, Keinecke, R L, Wasserman

Publikováno v: Allergy. 66(12)

The placebo-controlled study International Multicentre Prospective Angioedema C1-INH Trial 1 (I.M.P.A.C.T.1) demonstrated that 20 U/kg C1 esterase inhibitor (C1-INH) concentrate (Berinert®; CSL Behring, Marburg, Germany) is effective in treating acu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::b5b3718272d43b23f73bb63f5445a944
https://pubmed.ncbi.nlm.nih.gov/21884533

Evidence of major genes affecting stress response in rainbow trout using Bayesian methods of complex segregation analysis

Autor: R L, Vallejo, C E, Rexroad, J T, Silverstein, L L G, Janss, G M, Weber

Publikováno v: Journal of animal science. 87(11)

As a first step toward the genetic mapping of QTL affecting stress response variation in rainbow trout, we performed complex segregation analyses (CSA) fitting mixed inheritance models of plasma cortisol by using Bayesian methods in large full-sib fa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::449053555d83baaf2b9ee4cd28b08612
https://pubmed.ncbi.nlm.nih.gov/19648504