Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals
- PMID: 35965108
- PMCID: PMC10712651
- DOI: 10.1016/j.biopsych.2022.06.004
Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals
Abstract
Background: Major depressive disorder (MDD) is a leading cause of disease-associated disability, with much of the increased burden due to psychiatric and medical comorbidity. This comorbidity partly reflects common genetic influences across conditions. Integrating molecular-genetic tools with health records enables tests of association with the broad range of physiological and clinical phenotypes. However, standard phenome-wide association studies analyze associations with individual genetic variants. For polygenic traits such as MDD, aggregate measures of genetic risk may yield greater insight into associations across the clinical phenome.
Methods: We tested for associations between a genome-wide polygenic risk score for MDD and medical and psychiatric traits in a phenome-wide association study of 46,782 unrelated, European-ancestry participants from the Michigan Genomics Initiative.
Results: The MDD polygenic risk score was associated with 211 traits from 15 medical and psychiatric disease categories at the phenome-wide significance threshold. After excluding patients with depression, continued associations were observed with respiratory, digestive, neurological, and genitourinary conditions; neoplasms; and mental disorders. Associations with tobacco use disorder, respiratory conditions, and genitourinary conditions persisted after accounting for genetic overlap between depression and other psychiatric traits. Temporal analyses of time-at-first-diagnosis indicated that depression disproportionately preceded chronic pain and substance-related disorders, while asthma disproportionately preceded depression.
Conclusions: The present results can inform the biological links between depression and both mental and systemic diseases. Although MDD polygenic risk scores cannot currently forecast health outcomes with precision at the individual level, as molecular-genetic discoveries for depression increase, these tools may augment risk prediction for medical and psychiatric conditions.
Keywords: Depression; Health span; Medical condition; Mental disorder; PheWAS; Polygenic risk score.
Copyright © 2022 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
The authors report no biomedical financial interests or potential conflicts of interest.
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Comment in
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Depression Genetics as a Window Into Physical and Mental Health.Biol Psychiatry. 2022 Dec 15;92(12):918-919. doi: 10.1016/j.biopsych.2022.09.027. Biol Psychiatry. 2022. PMID: 36396244 Free PMC article. No abstract available.
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