A Clinical Atlas for Phenome-Wide Association Study of Obstructive Sleep Apnea Across Electronic Health Record Domains
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Obstructive sleep apnea (OSA) is a heterogeneous disorder whose associations across the entire phenome remain incompletely characterized by hypothesis-driven outcome-specific analyses. We constructed a multidomain atlas for phenome-wide association study of OSA in 222,109 adults undergoing diagnostic sleep testing in Kaiser Permanente Southern California. Using apnea-hypopnea index, we examined cross-sectional associations across diagnoses, laboratory tests, medications, procedures, healthcare utilization, behaviors, and symptoms; associations with incident diseases; and data-driven cross-domain phenotypes. After full adjustment, 169 prevalent phecodes and 16 incident phecodes remained Bonferroni-significant. Positive associations converged most consistently on cardiometabolic diseases, including hypertension, impaired glucose metabolism, hyperlipidemia, obesity, and heart failure, with concordant laboratory, medication, and cardiac-measurement signals. Multidimensional physiologic, symptom, and comorbidity phenotypes showed heterogeneous disease incidence after adjustment, with patterns not aligned with apnea-hypopnea index severity alone. These findings define the broad clinical landscape of OSA and provide a comprehensive atlas for replication and hypothesis generation.
Source: medRxiv
Language: English
Subfield: Physiology (medical)
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G4899820060, G4924162002, Leveraging Electronic Health Records for Causal Inference of CPAP Utilization on Cardiovascular Risk, G7418010917, Frontiers Clinical and Translational Science Institute at the University of Kansas, Developing a P4 Medicine Approach to Obstructive Sleep Apnea, G9001282291
OpenAlex ID: W7223227937
