Results 51 to 60 of about 523,896 (324)
Genetics Selection Evolution, 2017 Background A better understanding of the genetic architecture of complex traits can contribute to improve genomic prediction. We hypothesized that genomic variants associated with mastitis and milk production traits in dairy cattle are enriched in ...
Lingzhao Fang +7 more
doaj +1 more source
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 ...
Marco F. Ramoni +5 more
openaire +3 more sources
Genes, 2022 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
Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method. [PDF]
, 2018 Prevention and early intervention are the most effective ways of avoiding or minimizing psychological, physical, and financial suffering from cancer. However, such proactive action requires the ability to predict the individual's susceptibility to cancer
Kim, Byung-Ju, Kim, Sung-Hou
core +2 more sources
Plants, 2020 Genomic selection accelerates genetic progress in crop breeding through the prediction of future phenotypes of selection candidates based on only their genomic information.
Mulusew Fikere +10 more
doaj +1 more source
Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle. [PDF]
, 2017 BackgroundGenomic predictions from BayesA and BayesB use training data that include animals with both phenotypes and genotypes. Single-step methodologies allow additional information from non-genotyped relatives to be included in the analysis. The single-
Cheng, Hao +7 more
core +3 more sources
Genomic prediction of coronary heart disease [PDF]
European Heart Journal, 2016 AbstractBackgroundGenetics plays an important role in coronary heart disease (CHD) but the clinical utility of a genomic risk score (GRS) relative to clinical risk scores, such as the Framingham Risk Score (FRS), is unclear.MethodsWe generated a GRS of 49,310 SNPs based on a CARDIoGRAMplusC4D Consortium meta-analysis of CHD, then independently tested ...
Heribert Schunkert +17 more
openaire +7 more sources
Comparison of Single-Trait and Multi-Trait GBLUP Models for Genomic Prediction in Red Clover
AgronomyRed clover (Trifolium pratense) is a perennial forage legume wildly used in temperate regions, including northern Europe. Its breeders are under increasing pressure to obtain rapid genetic gains to meet the high demand for improved forage yield and ...
Johanna Osterman +6 more
doaj +1 more source
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Frontiers in Plant Science, 2018 The development of high-throughput genotyping has made genome-wide association (GWAS) and genomic selection (GS) applications possible for both model and non-model species.
Giovanny Covarrubias-Pazaran +9 more
doaj +1 more source