Back to search

Article

Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health records

2024-09-09

Abstract excerpt

<title>Abstract</title> <p>Endometriosis is a complex and heterogeneous condition affecting 10% of reproductive-age women, and yet, it often goes undiagnosed for several years. Limited observed heritability (7%) of large genetic association studies may be attributable to underlying heterogeneity of disease mechanisms. Therefore, we conducted this study to investigate genetic associations across sub-phenotypes of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c7049452-bf5a-561e-be80-be05e878fb36
DOI
10.21203/rs.3.rs-5004325/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Enhancing genetic association power in endometriosis through unsupervised clustering of clinical subtypes identified from electronic health recordsDOI 10.21203/rs.3.rs-5004325/v1
Select a neighboring publication to make it the new centre.