Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Van der Werf Julius HJ"'
Publikováno v:
Genetics Selection Evolution, Vol 44, Iss 1, p 33 (2012)
Abstract Background Genomic predictions can be applied early in life without impacting selection candidates. This is especially useful for meat quality traits in sheep. Carcass and novel meat quality traits were predicted in a multi-breed sheep popul
Externí odkaz:
https://doaj.org/article/3d771dfed29943c99b608854b00df8ee
Publikováno v:
Genetics Selection Evolution, Vol 44, Iss 1, p 9 (2012)
Abstract Background Efficient, robust, and accurate genotype imputation algorithms make large-scale application of genomic selection cost effective. An algorithm that imputes alleles or allele probabilities for all animals in the pedigree and for all
Externí odkaz:
https://doaj.org/article/7442cb4c49c740d493dc8b278d2a8cf7
Publikováno v:
Genetics Selection Evolution, Vol 44, Iss 1, p 4 (2012)
Abstract Background The theory of genomic selection is based on the prediction of the effects of genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic selection also relies on relationships between individuals to ac
Externí odkaz:
https://doaj.org/article/d6e4223fcfee4e4a861725119866948f
Publikováno v:
Genetics Selection Evolution, Vol 43, Iss 1, p 18 (2011)
Abstract Background The theory of genomic selection is based on the prediction of the effects of quantitative trait loci (QTL) in linkage disequilibrium (LD) with markers. However, there is increasing evidence that genomic selection also relies on "r
Externí odkaz:
https://doaj.org/article/e97e077471004ac7ba1e132bba57233e
A combined long-range phasing and long haplotype imputation method to impute phase for SNP genotypes
Autor:
Dunstan Neil, Wilson James F, Tier Bruce, Kinghorn Brian P, Hickey John M, van der Werf Julius HJ
Publikováno v:
Genetics Selection Evolution, Vol 43, Iss 1, p 12 (2011)
Abstract Background Knowing the phase of marker genotype data can be useful in genome-wide association studies, because it makes it possible to use analysis frameworks that account for identity by descent or parent of origin of alleles and it can lea
Externí odkaz:
https://doaj.org/article/edd56d77351c4689a29f68eb12215b5b
Publikováno v:
Genetics Selection Evolution, Vol 42, Iss 1, p 22 (2010)
Abstract Background In the analysis of complex traits, genetic effects can be confounded with non-genetic effects, especially when using full-sib families. Dominance and epistatic effects are typically confounded with additive genetic and non-genetic
Externí odkaz:
https://doaj.org/article/b78e83e9206f4a30b469cb21707a5960
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 189 (2008)
Abstract Background Haplotype reconstruction is important in linkage mapping and association mapping of quantitative trait loci (QTL). One widely used statistical approach for haplotype reconstruction is simulated annealing (SA), implemented in SimWa
Externí odkaz:
https://doaj.org/article/34d446d7c59d4cbab0c49ba06468a74b
Publikováno v:
Genetics Selection Evolution; April 2004, Vol. 36 Issue: 2
Autor:
Neshat, Mehdi, Lee, Soohyun, Momin, Md Moksedul, Truong, Buu, van der Werf, Julius HJ, Lee, S Hong
Refereed/Peer-reviewed The H-matrix best linear unbiased prediction (HBLUP) method has been widely used in livestock breeding programs. It can integrate all information, including pedigree, genotypes, and phenotypes on both genotyped and non-genotype
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1231::5a57dcb0895d9d74465c043d3dc9f2cf
https://hdl.handle.net/11541.2/34788
https://hdl.handle.net/11541.2/34788
Autor:
Julius H. J. van der Werf, Xuan Zhou, Jisu Shin, Jiuyong Li, Buu Truong, S. Hong Lee, Thuc Duy Le
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature Communications
Nature Communications
Polygenic risk scores are emerging as a potentially powerful tool to predict future phenotypes of target individuals, typically using unrelated individuals, thereby devaluing information from relatives. Here, for 50 traits from the UK Biobank data, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e0ac392106c0d74dda3f72a922d1ea
https://doaj.org/article/08755dc1466a43b28f5affeeb522ac79
https://doaj.org/article/08755dc1466a43b28f5affeeb522ac79