Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Increasingly, clinical phenotypes with matched genetic data from bio-bank linked electronic health records (EHRs) have been used for pleiotropy analyses. Thus far, pleiotropy analysis using individual-level EHR data has been limited to data from one site. However, it is desirable to integrate EHR da...

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Detalles Bibliográficos
Autores principales: Li, Ruowang, Duan, Rui, Zhang, Xinyuan, Lumley, Thomas, Pendergrass, Sarah, Bauer, Christopher, Hakonarson, Hakon, Carrell, David S., Smoller, Jordan W., Wei, Wei-Qi, Carroll, Robert, Velez Edwards, Digna R., Wiesner, Georgia, Sleiman, Patrick, Denny, Josh C., Mosley, Jonathan D., Ritchie, Marylyn D., Chen, Yong, Moore, Jason H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794298/
https://www.ncbi.nlm.nih.gov/pubmed/33420026
http://dx.doi.org/10.1038/s41467-020-20211-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794298/
https://www.ncbi.nlm.nih.gov/pubmed/33420026
http://dx.doi.org/10.1038/s41467-020-20211-2

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