Fast multiple-trait genome-wide association analysis for correlated longitudinal measurements
Abstract 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 app...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2023-11-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-023-47555-1 |
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