Fast multiple-trait genome-wide association analysis for correlated longitudinal measurements

Large-scale longitudinal biobank data can be leveraged to identify genetic variation contributing to human diseases progression and traits trajectories. While methods for genome-wide association studies (GWAS) of multiple correlated traits have been proposed, an efficient multiple-trait approach to...

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Detalles Bibliográficos
Autores principales: Abdel-Azim, Gamal, Patel, Parth, Li, Shuwei, Guo, Shicheng, Black, Mary Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667366/
https://www.ncbi.nlm.nih.gov/pubmed/37996550
http://dx.doi.org/10.1038/s41598-023-47555-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667366/
https://www.ncbi.nlm.nih.gov/pubmed/37996550
http://dx.doi.org/10.1038/s41598-023-47555-1

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