Results 31 to 40 of about 333,629 (311)
Comparison of analyses of the QTLMAS XIV common dataset. I: genomic selection [PDF]
Background - For the XIV QTLMAS workshop, a dataset for traits with complex genetic architecture has been simulated and released for analyses by participants. One of the tasks was to estimate direct genomic values for individuals without phenotypes.
Tomasz Strabel +9 more
core +1 more source
Predictive Genomics of Cardioembolic Stroke [PDF]
Cardioembolic stroke is a complex disease resulting from the interaction of numerous factors. Using data from Genes Affecting Stroke Risk and Outcome Study (GASROS), we show that a multivariate predictive model built using Bayesian networks is able to achieve a predictive accuracy of 86% on the fitted values as computed by the area under the receiver ...
Rachel Badovinac, Ramoni +4 more
openaire +2 more sources
We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank ...
Louis Lello +4 more
doaj +1 more source
: Genomic selection using single nucleotide polymorphism (SNP) markers is now intensively investigated in breeding and has been widely utilized for genetic improvement.
Haoqiang Ye +10 more
doaj +1 more source
Accuracy of multi-trait genomic selection using different methods [PDF]
Background Genomic selection has become a very important tool in animal genetics and is rapidly emerging in plant genetics. It holds the promise to be particularly beneficial to select for traits that are difficult or expensive to measure, such as traits
Veerkamp Roel F +5 more
core +1 more source
Translating genomics into risk prediction [PDF]
Cigarette smoking is a leading risk factor in the development of cardiovascular, pulmonary and malignant diseases worldwide.1 Yet, it remains one of the most challenging environmental exposures to quantify. Rudimentary categorisations of ‘never’, ‘former’ and ‘current’ smoker capture only a fraction of the complexity associated with the exposure ...
Emily S, Wan, Dawn L, DeMeo
openaire +2 more sources
The extensive use of genomic selection (GS) in livestock and crops has led to a series of genomic-prediction (GP) algorithms despite the lack of a single algorithm that can suit all the species and traits. A systematic evaluation of available GP algorithms is thus necessary to identify the optimal GP algorithm for selective breeding in aquaculture ...
Kuiqin Wang, Ben Yang, Qi Li, Shikai Liu
openaire +2 more sources
The present study aimed to improve the accuracy of genomic prediction of 16 agronomic traits in a diverse bread wheat (Triticum aestivum L.) germplasm under terminal drought stress and well-watered conditions in semi-arid environments.
Morteza Shabannejad +4 more
doaj +1 more source
Preselected variants associated with the trait of interest from genome-wide association studies (GWASs) are available to improve genomic prediction in pigs.
Chen Wei +11 more
doaj +1 more source
A quantitative account of genomic island acquisitions in prokaryotes [PDF]
Background Microbial genomes do not merely evolve through the slow accumulation of mutations, but also, and often more dramatically, by taking up new DNA in a process called horizontal gene transfer.
van Passel, Mark W. J. +8 more
core +1 more source

