ArticleBiological psychiatry2022
Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals.
Article in Biological psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Unraveling the Genetic Basis of Self-Harm Phenotypes: New Perspectives on Its Links to Depression and Chronic Pain.Biological psychiatry global open science · 2026Article
- Testing bidirectional associations of major depressive disorder with medical conditions: two-sample Mendelian randomization study.Npj mental health research · 2026Article
- Phenome-Wide Associations of Polygenic Scores for Schizophrenia and Major Depression in 100,000 Chinese Adults.Biological psychiatry global open science · 2026Article
- Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study.JAMIA open · 2025Review
- Application of polygenic scores to a deeply phenotyped sample enriched for substance use disorders reveals extensive pleiotropy with psychiatric and somatic traits.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review.JMIR medical informatics · 2024Article
- Clinical and genetic contributions to medical comorbidity in bipolar disorder: a study using electronic health records-linked biobank data.Molecular psychiatry · 2024Article
- Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories.Nature communications · 2024Article
- Identifying data-driven subtypes of major depressive disorder with electronic health records.Journal of affective disorders · 2024Article
- Mendelian randomization study of the relationship between blood and urine biomarkers and schizophrenia in the UK Biobank cohort.Communications medicine · 2024Article
- Enhanced polygenic risk score incorporating gene-environment interaction suggests the association of major depressive disorder with cardiac and lung function.Briefings in bioinformatics · 2024Article
- Depression Genetics as a Window Into Physical and Mental Health.Biological psychiatry · 2022Article
- Screening for Depression, Anxiety, and Suicidality: Insights From Electronic Health Record Data in an Academic Medical Center.Journal of primary care & community healthArticle
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5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMajor 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.
methodsWe 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.
resultsThe 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.
conclusionsThe 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.
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