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Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health Records.
medRxiv [Preprint]. 2024 Apr 22:2024.04.22.24306092. doi: 10.1101/2024.04.22.24306092.
medRxiv. 2024.
PMID: 38712122
Free PMC article.
Preprint.
The 5 clusters were characterized by utilizing additional electronic health record (EHR) variables, such as endometriosis-related comorbidities and confirmed surgical phenotypes. ...This study enhances our understanding of the clinical pr …
The 5 clusters were characterized by utilizing additional electronic health record (EHR) variables, such as endometr …
Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records.
Guare LA, Humphrey LA, Rush M, Pollie M, Jaworski J, Akerele AT, Luo Y, Weng C, We WQ, Kottyan L, Jarvik G, Elhadad N; Penn Medicine Biobank; Regeneron Genetics Center; Zondervan K, Missmer S, Vujkovic M, Velez-Edwards D, Senapati S, Setia-Verma S.
Guare LA, et al.
Res Sq [Preprint]. 2024 Sep 9:rs.3.rs-5004325. doi: 10.21203/rs.3.rs-5004325/v1.
Res Sq. 2024.
PMID: 39315247
Free PMC article.
Preprint.
Therefore, we conducted this study to investigate genetic associations across sub-phenotypes of endometriosis. We performed unsupervised clustering of 4,078 women with endometriosis based on known endometriosis risk factors, sympto …
Therefore, we conducted this study to investigate genetic associations across sub-phenotypes of endometriosis. We perfo …
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