Finding associated variants in genome-wide association studies on multiple traits

MOTIVATION: Many variants identified by genome-wide association studies (GWAS) have been found to affect multiple traits, either directly or through shared pathways. There is currently a wealth of GWAS data collected in numerous phenotypes, and analyzing multiple traits at once can increase power to...

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Detalles Bibliográficos
Autores principales: Gai, Lisa, Eskin, Eleazar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022769/
https://www.ncbi.nlm.nih.gov/pubmed/29949991
http://dx.doi.org/10.1093/bioinformatics/bty249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022769/
https://www.ncbi.nlm.nih.gov/pubmed/29949991
http://dx.doi.org/10.1093/bioinformatics/bty249

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