Results 31 to 40 of about 542,878 (302)

Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer

Scientific Reports, 2019
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, Timothy G. Raben, Soke Yuen Yong, Laurent C. A. M. Tellier, Stephen D. H. Hsu   +4 more
doaj   +1 more source

Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits

G3: Genes, Genomes, Genetics, 2020
Due to the ever-increasing data collected in genomic breeding programs, there is a need for genomic prediction models that can deal better with big data.
Abelardo Montesinos-López, Humberto Gutierrez-Pulido, Osval Antonio Montesinos-López, José Crossa   +3 more
doaj   +1 more source

Haplotype analysis of genomic prediction by incorporating genomic pathway information based on high-density SNP marker in Chinese yellow-feathered chicken

Poultry Science, 2023
: Genomic selection using single nucleotide polymorphism (SNP) markers is now intensively investigated in breeding and has been widely utilized for genetic improvement.
Haoqiang Ye, Zhenqiang Xu, Semiu Folaniyi Bello, Qianghui Zhu, Shaofen Kong, Ming Zheng, Xiang Fang, Xinzheng Jia, Haiping Xu, Xiquan Zhang, Qinghua Nie   +10 more
doaj   +1 more source

Το λογισμικό SpatialAnalyzer & εφαρμογές του σε προβλήματα βιομηχανικής γεωδαισίας [PDF]

, 2014
This paper reports a first study exploring genomic prediction for adaptation of sorghum [Sorghum bicolor (L.) Moench] to drought-stress (D-ET) and nonstress (W-ET) environment types.
Atlin G. N., Borrell A. K., Bustos‐Korts D., Bustos‐Korts D., Butler D. G., Colleen H. Hunt, Cooper M., Cuevas J., David R. Jordan, Eeuwijk F. A., Eeuwijk F. A., Emma S. Mace, Fred A. Eeuwijk, Julio G. Velazco, Lehermeier C., Lopez‐Cruz M., Melchinger A. E., Oakey H., Rodríguez‐Álvarez M. X., Sukumaran S., Zhang Y.   +20 more
core   +1 more source

A foundation for provitamin A biofortification of maize: genome-wide association and genomic prediction models of carotenoid levels. [PDF]

, 2014
Efforts are underway for development of crops with improved levels of provitamin A carotenoids to help combat dietary vitamin A deficiency. As a global staple crop with considerable variation in kernel carotenoid composition, maize (Zea mays L.) could ...
Buckler, Edward S, Buell, C Robin, Cepela, Jason, DellaPenna, Dean, Diepenbrock, Christine H, Gore, Michael A, Kandianis, Catherine B, Kim, Eunha, Lipka, Alexander E, Magallanes-Lundback, Maria, Mateos-Hernandez, Maria, Owens, Brenda F, Rocheford, Torbert, Tiede, Tyler   +13 more
core   +1 more source

A classic approach for determining genomic prediction accuracy under terminal drought stress and well-watered conditions in wheat landraces and cultivars.

PLoS ONE, 2021
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, Mohammad-Reza Bihamta, Eslam Majidi-Hervan, Hadi Alipour, Asa Ebrahimi   +4 more
doaj   +1 more source

Preselecting Variants from Large-Scale Genome-Wide Association Study Meta-Analyses Increases the Genomic Prediction Accuracy of Growth and Carcass Traits in Large White Pigs

Animals, 2023
Preselected variants associated with the trait of interest from genome-wide association studies (GWASs) are available to improve genomic prediction in pigs.
Chen Wei, Chengjie Chang, Wenjing Zhang, Duanyang Ren, Xiaodian Cai, Tianru Zhou, Shaolei Shi, Xibo Wu, Jinglei Si, Xiaolong Yuan, Jiaqi Li, Zhe Zhang   +11 more
doaj   +1 more source

The value of expanding the training population to improve genomic selection models in tetraploid potato [PDF]

, 2018
Genomic selection (GS) is becoming increasingly applicable to crops as the genotyping costs continue to decrease, which makes it an attractive alternative to traditional selective breeding based on observed phenotypes. With genome-wide molecular markers,
Albrecht, Arruda, Ashraf, Ashraf, Bates, De Roos, Elshire, Gianola, Goddard, Gowda, Grenier, Habier, Habier, Halterman, Heffner, Heffner, Heslot, Iheshiulor, Jannink, Lorenz, Lorenz, Lorenzana, Luan, McKenna, Meuwissen, Muir, Onogi, Poland, Rutkoski, Sato, Sharma, Shengqiang, Slater, Sverrisdóttir, VanRaden, Windhausen, Xu, Zhao   +37 more
core   +8 more sources

GVCHAP: A Computing Pipeline for Genomic Prediction and Variance Component Estimation Using Haplotypes and SNP Markers

Frontiers in Genetics, 2020
Haplotype prediction models open many possibilities to improve the accuracy of genomic selection but require more data processing and computing time than single-SNP prediction models. To facilitate haplotype analysis for genomic prediction and estimation
Dzianis Prakapenka, Chunkao Wang, Zuoxiang Liang, Cheng Bian, Cheng Bian, Cheng Tan, Cheng Tan, Yang Da   +7 more
doaj   +1 more source

Multi-Trait Multi-Environment Genomic Prediction of Agronomic Traits in Advanced Breeding Lines of Winter Wheat

Frontiers in Plant Science, 2021
Genomic prediction is a promising approach for accelerating the genetic gain of complex traits in wheat breeding. However, increasing the prediction accuracy (PA) of genomic prediction (GP) models remains a challenge in the successful implementation of ...
Harsimardeep S. Gill, Jyotirmoy Halder, Jinfeng Zhang, Navreet K. Brar, Teerath S. Rai, Cody Hall, Amy Bernardo, Paul St Amand, Guihua Bai, Eric Olson, Shaukat Ali, Brent Turnipseed, Sunish K. Sehgal   +12 more
doaj   +1 more source