Results 11 to 20 of about 542,878 (302)
Application of Genomic Data for Reliability Improvement of Pig Breeding Value Estimates
Animals, 2021 Replacement pigs’ genomic prediction for reproduction (total number and born alive piglets in the first parity), meat, fatness and growth traits (muscle depth, days to 100 kg and backfat thickness over 6–7 rib) was tested using single-step genomic best ...
Ekaterina Melnikova +10 more
doaj +1 more source
Novel Bayesian Networks for Genomic Prediction of Developmental Traits in Biomass Sorghum. [PDF]
, 2020 The ability to connect genetic information between traits over time allow Bayesian networks to offer a powerful probabilistic framework to construct genomic prediction models. In this study, we phenotyped a diversity panel of 869 biomass sorghum (Sorghum
Brown, Patrick J +8 more
core +2 more sources
Utility and First Clinical Application of Screening Embryos for Polygenic Disease Risk Reduction
Frontiers in Endocrinology, 2019 For over 2 decades preimplantation genetic testing (PGT) has been in clinical use to reduce the risk of miscarriage and genetic disease in patients with advanced maternal age and risk of transmitting disease.
Nathan R. Treff +18 more
doaj +1 more source
BMC Genomics, 2020 Background Genomic selection (GS) or genomic prediction is a promising approach for tree breeding to obtain higher genetic gains by shortening time of progeny testing in breeding programs.
Ainhoa Calleja-Rodriguez +7 more
doaj +1 more source
Translating genomics into risk prediction [PDF]
Thorax, 2017 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
Genomic Prediction Using LD-Based Haplotypes in Combined Pig Populations
Frontiers in Genetics, 2022 The size of reference population is an important factor affecting genomic prediction. Thus, combining different populations in genomic prediction is an attractive way to improve prediction ability.
Haoqiang Ye +8 more
doaj +1 more source
An Upper Bound for Accuracy of Prediction Using GBLUP. [PDF]
, 2016 This study aims at characterizing the asymptotic behavior of genomic prediction R2 as the size of the reference population increases for common or rare QTL alleles through simulations.
Cheng, Hao +4 more
core +2 more sources
Genomic selection in rubber tree breeding: A comparison of models and methods for managing G×E interactions [PDF]
, 2019 Several genomic prediction models combining genotype × environment (G×E) interactions have recently been developed and used for genomic selection (GS) in plant breeding programs. G×E interactions reduce selection accuracy and limit genetic gains in plant
Francisco, Felipe O. +6 more
core +2 more sources
Predictive Genomics of Cardioembolic Stroke [PDF]
Stroke, 2009 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
The impact of genomic relatedness between populations on the genomic estimated breeding values
Journal of Animal Science and Biotechnology, 2018 In genomic selection, prediction accuracy is highly driven by the size of animals in the reference population (RP). Combining related populations from different countries and regions or using a related population with large size of RP has been considered
Peipei Ma +7 more
doaj +1 more source