{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T11:39:21Z","timestamp":1781350761329,"version":"3.54.1"},"reference-count":58,"publisher":"Elsevier BV","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,11,14]],"date-time":"2023-11-14T00:00:00Z","timestamp":1699920000000},"content-version":"am","delay-in-days":348,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000071","name":"National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["HD065563"],"award-info":[{"award-number":["HD065563"]}],"id":[{"id":"10.13039\/100000071","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007270","name":"University of Michigan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007270","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["MH101459"],"award-info":[{"award-number":["MH101459"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["biologicalpsychiatryjournal.com","clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biological Psychiatry"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.biopsych.2022.06.004","type":"journal-article","created":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T03:29:36Z","timestamp":1654918176000},"page":"923-931","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":22,"title":["Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals"],"prefix":"10.1016","volume":"92","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2810-806X","authenticated-orcid":false,"given":"Yu","family":"Fang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2110-1690","authenticated-orcid":false,"given":"Lars G.","family":"Fritsche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bhramar","family":"Mukherjee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srijan","family":"Sen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6695-1026","authenticated-orcid":false,"given":"Leah S.","family":"Richmond-Rakerd","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.biopsych.2022.06.004_bib1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1038\/s43587-020-00016-0","article-title":"Recent trends and increasing differences in life expectancy present opportunities for multidisciplinary research on aging","volume":"1","author":"Crimmins","year":"2021","journal-title":"Nat Aging"},{"key":"10.1016\/j.biopsych.2022.06.004_bib2","doi-asserted-by":"crossref","first-page":"1789","DOI":"10.1016\/S0140-6736(18)32279-7","volume":"392","year":"2018","journal-title":"Lancet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib3","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.genhosppsych.2008.05.001","article-title":"Major depression as a risk factor for chronic disease incidence: Longitudinal analyses in a general population cohort","volume":"30","author":"Patten","year":"2008","journal-title":"Gen Hosp Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib4","doi-asserted-by":"crossref","first-page":"31","DOI":"10.4088\/JCP.12r07922","article-title":"Depression as a risk factor for diabetes: A meta-analysis of longitudinal studies","volume":"74","author":"Rotella","year":"2013","journal-title":"J\u00a0Clin Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib5","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1001\/jamapsychiatry.2015.2688","article-title":"Association of mental disorders with subsequent chronic physical conditions: World Mental Health Surveys from 17 countries","volume":"73","author":"Scott","year":"2016","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib6","doi-asserted-by":"crossref","first-page":"2379","DOI":"10.1001\/jama.2008.711","article-title":"Depressive symptoms, health behaviors, and risk of cardiovascular events in patients with coronary heart disease","volume":"300","author":"Whooley","year":"2008","journal-title":"JAMA"},{"key":"10.1016\/j.biopsych.2022.06.004_bib7","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1016\/S0022-3999(02)00309-4","article-title":"Depression and immune function: Central pathways to morbidity and mortality","volume":"53","author":"Kiecolt-Glaser","year":"2002","journal-title":"J\u00a0Psychosom Res"},{"key":"10.1016\/j.biopsych.2022.06.004_bib8","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.neubiorev.2016.07.003","article-title":"Depression and cardiovascular disease: Epidemiological evidence on their linking mechanisms","volume":"74","author":"Penninx","year":"2017","journal-title":"Neurosci Biobehav Rev"},{"key":"10.1016\/j.biopsych.2022.06.004_bib9","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1001\/jamapsychiatry.2020.0316","article-title":"Association between lifetime affective symptoms and premature mortality","volume":"77","author":"Archer","year":"2020","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib10","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1016\/j.jad.2019.07.003","article-title":"Chronic medical conditions and metabolic syndrome as risk factors for incidence of major depressive disorder: A longitudinal study based on 4.7 million adults in South Korea","volume":"257","author":"Han","year":"2019","journal-title":"J\u00a0Affect Disord"},{"key":"10.1016\/j.biopsych.2022.06.004_bib11","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1016\/j.psym.2015.06.005","article-title":"A\u00a0systematic review and meta-analysis of demoralization and depression in patients with cancer","volume":"56","author":"Tang","year":"2015","journal-title":"Psychosomatics"},{"key":"10.1016\/j.biopsych.2022.06.004_bib12","doi-asserted-by":"crossref","first-page":"1552","DOI":"10.1176\/appi.ajp.157.10.1552","article-title":"Genetic epidemiology of major depression: Review and meta-analysis","volume":"157","author":"Sullivan","year":"2000","journal-title":"Am J Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib13","doi-asserted-by":"crossref","DOI":"10.1038\/tp.2016.261","article-title":"The genetic overlap between mood disorders and cardiometabolic diseases: A systematic review of genome wide and candidate gene studies","volume":"7","author":"Amare","year":"2017","journal-title":"Transl Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib14","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1001\/archgenpsychiatry.2009.94","article-title":"Major depression and coronary artery disease in the Swedish Twin Registry: Phenotypic, genetic, and environmental sources of comorbidity","volume":"66","author":"Kendler","year":"2009","journal-title":"Arch Gen Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib15","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1097\/01.PSY.0000077507.29863.CB","article-title":"A\u00a0twin study of depression symptoms, hypertension, and heart disease in middle-aged men","volume":"65","author":"Scherrer","year":"2003","journal-title":"Psychosom Med"},{"key":"10.1016\/j.biopsych.2022.06.004_bib16","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0170653","article-title":"Chronic pain, depression and cardiovascular disease linked through a shared genetic predisposition: Analysis of a family-based cohort and twin study","volume":"12","author":"van Hecke","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.biopsych.2022.06.004_bib17","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1038\/s41380-019-0395-3","article-title":"Shared mechanisms between coronary heart disease and depression: Findings from a large UK general population-based cohort [published correction appears in Mol Psychiatry 2021; 26:3659\u20133661]","volume":"25","author":"Khandaker","year":"2020","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib18","doi-asserted-by":"crossref","first-page":"4245","DOI":"10.1038\/s41380-020-00954-6","article-title":"The familial and genetic contribution to the association between depression and cardiovascular disease: A twin cohort study","volume":"26","author":"Wium-Andersen","year":"2020","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib19","doi-asserted-by":"crossref","first-page":"2301","DOI":"10.1038\/s41467-020-16022-0","article-title":"A\u00a0phenome-wide association and Mendelian randomisation study of polygenic risk for depression in UK Biobank","volume":"11","author":"Shen","year":"2020","journal-title":"Nat Commun"},{"key":"10.1016\/j.biopsych.2022.06.004_bib20","doi-asserted-by":"crossref","first-page":"1188","DOI":"10.1038\/mp.2015.126","article-title":"Phenome-wide analysis of genome-wide polygenic scores","volume":"21","author":"Krapohl","year":"2016","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib21","doi-asserted-by":"crossref","first-page":"e1238","DOI":"10.1038\/tp.2017.201","article-title":"Polygenic loading for major depression is associated with specific medical comorbidity","volume":"7","author":"McCoy","year":"2017","journal-title":"Transl Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib22","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1038\/s41380-019-0486-1","article-title":"Association between major depressive disorder and multiple disease outcomes: A phenome-wide Mendelian randomisation study in the UK Biobank","volume":"25","author":"Mulugeta","year":"2020","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib23","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.biopsych.2020.06.026","article-title":"Polygenic risk of psychiatric disorders exhibits cross-trait associations in electronic health record data from European ancestry individuals","volume":"89","author":"Kember","year":"2021","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib24","doi-asserted-by":"crossref","first-page":"4254","DOI":"10.1038\/s41380-019-0614-y","article-title":"Genetic risk for major depressive disorder and loneliness in sex-specific associations with coronary artery disease","volume":"26","author":"Dennis","year":"2021","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib25","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1176\/appi.ajp.2019.18091085","article-title":"Penetrance and pleiotropy of polygenic risk scores for schizophrenia in 106,160 patients across four health care systems","volume":"176","author":"Zheutlin","year":"2019","journal-title":"Am J Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib26","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1001\/jamapsychiatry.2019.0037","article-title":"Psychiatry\u2019s opportunity to prevent the rising burden of age-related disease","volume":"76","author":"Moffitt","year":"2019","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib27","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1038\/s41593-018-0326-7","article-title":"Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions","volume":"22","author":"Howard","year":"2019","journal-title":"Nat Neurosci"},{"key":"10.1016\/j.biopsych.2022.06.004_bib28","doi-asserted-by":"crossref","first-page":"1048","DOI":"10.1016\/j.ajhg.2018.04.001","article-title":"Association of polygenic risk scores for multiple cancers in a phenome-wide study: Results from the Michigan Genomics Initiative","volume":"102","author":"Fritsche","year":"2018","journal-title":"Am J Hum Genet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib29","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1038\/s41588-022-01057-4","article-title":"Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic, and molecular genetic levels of analysis","volume":"54","author":"Grotzinger","year":"2022","journal-title":"Nat Genet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib30","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1016\/j.cell.2019.11.020","article-title":"Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders","volume":"179","year":"2019","journal-title":"Cell"},{"key":"10.1016\/j.biopsych.2022.06.004_bib31","doi-asserted-by":"crossref","first-page":"4093","DOI":"10.1038\/s41467-020-17315-0","article-title":"MEPE loss-of-function variant associates with decreased bone mineral density and increased fracture risk","volume":"11","author":"Surakka","year":"2020","journal-title":"Nat Commun"},{"key":"10.1016\/j.biopsych.2022.06.004_bib32","article-title":"The Michigan Genomics Initiative: A biobank linking genotypes and electronic clinical records in Michigan Medicine patients","author":"Zawistowski","year":"2021","journal-title":"medRxiv"},{"key":"10.1016\/j.biopsych.2022.06.004_bib33","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1008202","article-title":"Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan Genomics Initiative and the UK Biobank with a visual catalog: PRSWeb","volume":"15","author":"Fritsche","year":"2019","journal-title":"PLoS Genet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib34","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1038\/ng.2924","article-title":"Ancestry estimation and control of population stratification for sequence-based association studies","volume":"46","author":"Wang","year":"2014","journal-title":"Nat Genet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib35","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1126\/science.1153717","article-title":"Worldwide human relationships inferred from genome-wide patterns of variation","volume":"319","author":"Li","year":"2008","journal-title":"Science"},{"key":"10.1016\/j.biopsych.2022.06.004_bib36","doi-asserted-by":"crossref","first-page":"2867","DOI":"10.1093\/bioinformatics\/btq559","article-title":"Robust relationship inference in genome-wide association studies","volume":"26","author":"Manichaikul","year":"2010","journal-title":"Bioinformatics"},{"key":"10.1016\/j.biopsych.2022.06.004_bib37","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/1751-0473-9-6","article-title":"Identifying large sets of unrelated individuals and unrelated markers","volume":"9","author":"Abraham","year":"2014","journal-title":"Source Code Biol Med"},{"key":"10.1016\/j.biopsych.2022.06.004_bib38","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1038\/ng.3643","article-title":"A\u00a0reference panel of 64,976 haplotypes for genotype imputation","volume":"48","author":"McCarthy","year":"2016","journal-title":"Nat Genet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib39","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1093\/bioinformatics\/btu197","article-title":"R\u00a0PheWAS: Data analysis and plotting tools for phenome-wide association studies in the R environment","volume":"30","author":"Carroll","year":"2014","journal-title":"Bioinform"},{"key":"10.1016\/j.biopsych.2022.06.004_bib40","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1038\/nbt.2749","article-title":"Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data","volume":"31","author":"Denny","year":"2013","journal-title":"Nat Biotechnol"},{"key":"10.1016\/j.biopsych.2022.06.004_bib42","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0175508","article-title":"Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record","volume":"12","author":"Wei","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.biopsych.2022.06.004_bib43","doi-asserted-by":"crossref","DOI":"10.2196\/14325","article-title":"Mapping ICD-10 and ICD-10-CM codes to phecodes: Workflow development and initial evaluation","volume":"7","author":"Wu","year":"2019","journal-title":"JMIR Med Inform"},{"key":"10.1016\/j.biopsych.2022.06.004_bib45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev-biodatasci-122320-112352","article-title":"Using phecodes for research with the electronic health record: From PheWAS to PheRS","volume":"4","author":"Bastarache","year":"2021","journal-title":"Annu Rev Biomed Data Sci"},{"key":"10.1016\/j.biopsych.2022.06.004_bib46","first-page":"1","article-title":"MatchIt: Nonparametric preprocessing for parametric causal inference","volume":"42","author":"Ho","year":"2011","journal-title":"J\u00a0Stat Softw"},{"key":"10.1016\/j.biopsych.2022.06.004_bib47","doi-asserted-by":"crossref","first-page":"1776","DOI":"10.1038\/s41467-019-09718-5","article-title":"Polygenic prediction via Bayesian regression and continuous shrinkage priors","volume":"10","author":"Ge","year":"2019","journal-title":"Nat Commun"},{"key":"10.1016\/j.biopsych.2022.06.004_bib48","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1016\/j.tig.2021.06.004","article-title":"Genetic prediction of complex traits with polygenic scores: A statistical review","volume":"37","author":"Ma","year":"2021","journal-title":"Trends Genet"},{"key":"10.1016\/j.biopsych.2022.06.004_bib49","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1378\/chest.12-1911","article-title":"Bidirectional associations between clinically relevant depression or anxiety and COPD: A systematic review and meta-analysis","volume":"144","author":"Atlantis","year":"2013","journal-title":"Chest"},{"key":"10.1016\/j.biopsych.2022.06.004_bib50","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2020.33448","article-title":"Longitudinal associations of mental disorders with physical diseases and mortality among 2.3 million New Zealand citizens","volume":"4","author":"Richmond-Rakerd","year":"2021","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.biopsych.2022.06.004_bib51","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1159\/000447034","article-title":"The safety, tolerability and risks associated with the use of newer generation antidepressant drugs: A critical review of the literature","volume":"85","author":"Carvalho","year":"2016","journal-title":"Psychother Psychosom"},{"key":"10.1016\/j.biopsych.2022.06.004_bib52","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1002\/nau.24695","article-title":"Urinary side effects of psychotropic drugs: A systematic review and metanalysis","volume":"40","author":"Trinchieri","year":"2021","journal-title":"Neurourol Urodyn"},{"key":"10.1016\/j.biopsych.2022.06.004_bib53","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1176\/appi.ajp.2010.10030340","article-title":"The structure of genetic and environmental risk factors for syndromal and subsyndromal common DSM-IV axis I and all axis II disorders","volume":"168","author":"Kendler","year":"2011","journal-title":"Am J Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib54","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1038\/s41380-017-0010-4","article-title":"Psychiatric genetics and the structure of psychopathology [published correction appears in Mol Psychiatry 2019; 24:471","volume":"24","author":"Smoller","year":"2019","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib55","article-title":"Analysis of shared heritability in common disorders of the brain","volume":"360","author":"Anttila","year":"2018","journal-title":"Science"},{"key":"10.1016\/j.biopsych.2022.06.004_bib56","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.puhe.2017.04.026","article-title":"Depression and cancer risk: A systematic review and meta-analysis","volume":"149","author":"Jia","year":"2017","journal-title":"Public Health"},{"key":"10.1016\/j.biopsych.2022.06.004_bib57","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1038\/s41380-019-0595-x","article-title":"Depression and anxiety in relation to cancer incidence and mortality: A systematic review and meta-analysis of cohort studies","volume":"25","author":"Wang","year":"2020","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib58","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1038\/s41380-020-0760-2","article-title":"Cancer and Alzheimer\u2019s disease inverse relationship: An age-associated diverging derailment of shared pathways","volume":"26","author":"Lanni","year":"2021","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2022.06.004_bib59","article-title":"Heterogeneity in polygenic scores for common human traits","author":"Ware","year":"2017","journal-title":"bioRxiv"},{"key":"10.1016\/j.biopsych.2022.06.004_bib60","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1177\/0963721418807729","article-title":"Phenotypic annotation: Using polygenic scores to translate discoveries from genome-wide association studies from the top down","volume":"28","author":"Belsky","year":"2019","journal-title":"Curr Dir Psychol Sci"}],"container-title":["Biological Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006322322013191?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006322322013191?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T16:08:28Z","timestamp":1762099708000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0006322322013191"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":58,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["S0006322322013191"],"URL":"https:\/\/doi.org\/10.1016\/j.biopsych.2022.06.004","relation":{},"ISSN":["0006-3223"],"issn-type":[{"value":"0006-3223","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals","name":"articletitle","label":"Article Title"},{"value":"Biological Psychiatry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.biopsych.2022.06.004","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Society of Biological Psychiatry.","name":"copyright","label":"Copyright"}]}}