Results 21 to 30 of about 851,465 (291)

Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits [PDF]

, 2014
A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications.
Labouriau, Rodrigo, Madsen, Per, Maia, Rafael Pimentel   +2 more
core   +2 more sources

Genomic prediction in Nordic Red dairy cattle considering breed origin of alleles

Journal of Dairy Science, 2022
: This study investigated the reliability of genomic prediction (GP) using breed origin of alleles (BOA) approach in the Nordic Red (RDC) population, which has an admixed population structure.
Ana Guillenea, Guosheng Su, Mogens Sand⊘ Lund, Emre Karaman   +3 more
doaj   +1 more source

Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle

BMC Genomics, 2018
Background Improving resistance to mastitis, one of the costliest diseases in dairy production, has become an important objective in dairy cattle breeding. However, mastitis resistance is influenced by many genes involved in multiple processes, including
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

BMC Genetics, 2019
Background Genome-wide association studies (GWAS) have been successfully implemented in cattle research and breeding. However, moving from the associations to identify the causal variants and reveal underlying mechanisms have proven complicated. In dairy
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast. [PDF]

, 2016
Experiments in model organisms report abundant genetic interactions underlying biologically important traits, whereas quantitative genetics theory predicts, and data support, the notion that most genetic variance in populations is additive.
Bloom, Joshua S, Carlborg, Örjan, Forsberg, Simon KG, Kruglyak, Leonid, Sadhu, Meru J   +4 more
core   +3 more sources

Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression

BMC Genomics, 2019
Background An unfavorable genetic correlation between milk production and fertility makes simultaneous improvement of milk production and fertility difficult in cattle breeding. Rapid genetic improvement in milk production traits in dairy cattle has been
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Selection responses of means and inbreeding depression for female fecundity in Drosophila melanogaster suggest contributions from intermediate-frequency alleles to quantitative trait variation [PDF]

, 2007
The extent to which quantitative trait variability is caused by rare alleles maintained by mutation, versus intermediate-frequency alleles maintained by balancing selection, is an unsolved problem of evolutionary genetics.
Borthwick, Helen, Charlesworth, Brian, Miyo, Takahiro   +2 more
core   +1 more source

Retraction Note: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

BMC Genetics, 2018
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Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source

Development of a Next-Generation NIL Library in Arabidopsis Thaliana for Dissecting Complex Traits [PDF]

, 2013
The identification of the loci and specific alleles underlying variation in quantitative traits is an important goal for evolutionary biologists and breeders.
Bauerle, William L., Fletcher, Richard S., Juenger, Thomas E., McKay, John K., Meyer, Eli, Mullen, Jack L., Reuning, Gretchen, Sen, Saunak, Yoder, Seth   +8 more
core   +3 more sources

Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle

Genetics Selection Evolution, 2019
Background Genome-wide association studies (GWAS) are widely used to identify regions of the genome that harbor genetic determinants of quantitative traits.
Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana   +3 more
doaj   +1 more source