Discovering latent subtypes of preterm birth and genetic risk using tensor decomposition on electronic health records.

ABSTRACT: Preterm birth is a syndrome that is triggered by diverse biological pathways and presents with many comorbid diseases. Although twin studies reveal a substantial heritable component, the genetic mechanisms of preterm birth remain poorly understood. We hypothesize that refining the preterm birth phenotype will reveal sub-phenotypes associated with distinct genetic risk factors and potential treatments. Here, we leverage rich longitudinal data from electronic health records (EHRs) from over 60,000 individuals from two clinical sites. Using tensor decomposition, we uncover several latent factors (LFs) that capture coherent combinations of comorbidities (e.g., metabolic, inflammatory, and mental health) and temporal trajectories of preterm and term births. Similar LFs are discovered between th

SUBMITTER: Abraham A 

PROVIDER: S-EPMC12668106 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature