Genetic determinants of cardiometabolic and pulmonary phenotypes and obstructive sleep apnoea in HCHS/SOL

• Published in: EBioMedicine 2022-10, Vol.84, p.104288-104288, Article 104288
• Main Authors: Zhang, Yuan, Elgart, Michael, Kurniansyah, Nuzulul, Spitzer, Brian W., Wang, Heming, Kim, Doyoon, Shah, Neomi, Daviglus, Martha, Zee, Phyllis C., Cai, Jianwen, Gottlieb, Daniel J., Cade, Brian E., Redline, Susan, Sofer, Tamar
• Format: Article
• Language: English
• Subjects: Blood Glucose; Body Mass Index; Cardiometabolic and pulmonary phenotypes; Cardiovascular Diseases - complications; Cardiovascular Diseases - genetics; Genetic correlation; Genome-Wide Association Study; Glycated Hemoglobin; Humans; Insulin - genetics; Mendelian randomization; Obstructive sleep apnoea; Phenotype; Polygenic risk score; Sleep Apnea, Obstructive - complications; Sleep Apnea, Obstructive - genetics
• ISSN: 2352-3964; 2352-3964
• DOI: 10.1016/j.ebiom.2022.104288

Obstructive Sleep Apnoea (OSA) often co-occurs with cardiometabolic and pulmonary diseases. This study is to apply genetic analysis methods to explain the associations between OSA and related phenotypes. In the Hispanic Community Healthy Study/Study of Latinos, we estimated genetic correlations ρg between the respiratory event index (REI) and 54 anthropometric, glycemic, cardiometabolic, and pulmonary phenotypes. We used summary statistics from published genome-wide association studies to construct Polygenic Risk Scores (PRSs) representing the genetic basis of each correlated phenotype (ρg>0.2 and p-value