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Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health Records

2024-04-22

Abstract excerpt

<h4>Background</h4> Endometriosis affects 10% of reproductive-age women, and yet, it goes undiagnosed for 3.6 years on average after symptoms onset. Despite large GWAS meta-analyses (N > 750,000), only a few dozen causal loci have been identified. We hypothesized that the challenges in identifying causal genes for endometriosis stem from heterogeneity across clinical and biological factors underlying endometriosis...

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Literature Corpus work
c4d2e2cb-ea0a-5c4a-961c-e28af8d4d243
DOI
10.1101/2024.04.22.24306092
Open publication

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Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health RecordsDOI 10.1101/2024.04.22.24306092
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