{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T14:07:08Z","timestamp":1782223628618,"version":"3.54.5"},"reference-count":83,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T00:00:00Z","timestamp":1759795200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Forschung, Technologie und Raumfahrt","doi-asserted-by":"publisher","award":["01ZX2204A"],"award-info":[{"award-number":["01ZX2204A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["324252"],"award-info":[{"award-number":["324252"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["326813"],"award-info":[{"award-number":["326813"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["273345"],"award-info":[{"award-number":["273345"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["298646"],"award-info":[{"award-number":["298646"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["223273"],"award-info":[{"award-number":["223273"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["300768"],"award-info":[{"award-number":["300768"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005416","name":"Research Council of Norway","doi-asserted-by":"publisher","award":["249795"],"award-info":[{"award-number":["249795"]}],"id":[{"id":"10.13039\/501100005416","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100019418","name":"NIHR Maudsley Biomedical Research Centre","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100019418","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health and Care Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"South-Eastern Norway Regional Health Authority","doi-asserted-by":"publisher","award":["2022103"],"award-info":[{"award-number":["2022103"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"South-Eastern Norway Regional Health Authority","doi-asserted-by":"publisher","award":["2018076"],"award-info":[{"award-number":["2018076"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"South-Eastern Norway Regional Health Authority","doi-asserted-by":"publisher","award":["2019101"],"award-info":[{"award-number":["2019101"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006095","name":"South-Eastern Norway Regional Health Authority","doi-asserted-by":"publisher","award":["2023037"],"award-info":[{"award-number":["2023037"]}],"id":[{"id":"10.13039\/501100006095","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"publisher","award":["PZ00P3_193658"],"award-info":[{"award-number":["PZ00P3_193658"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["802998"],"award-info":[{"award-number":["802998"]}],"id":[{"id":"10.13039\/501100000781","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":[[2026,5]]},"DOI":"10.1016\/j.biopsych.2025.09.018","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T12:31:24Z","timestamp":1760099484000},"page":"790-801","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"title":["Investigating Shared Cardiovascular Factors and Genetic Overlap of Pregnancy-Related Disorders, Major Depressive Disorder, and Alzheimer\u2019s Disease"],"prefix":"10.1016","volume":"99","author":[{"given":"Hannah","family":"Oppenheimer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexey","family":"Shadrin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonas \u00d8.","family":"Andersen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louise S.","family":"Schindler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arielle","family":"Crestol","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ole A.","family":"Andreassen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lars T.","family":"Westlye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ann-Marie G.","family":"de Lange","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis","family":"van der Meer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6544-0945","authenticated-orcid":false,"given":"Claudia","family":"Barth","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.biopsych.2025.09.018_bib1","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2023.0034","article-title":"Association of hypertensive disorders of pregnancy with future cardiovascular disease","volume":"6","author":"Rayes","year":"2023","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.biopsych.2025.09.018_bib2","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1161\/HYPERTENSIONAHA.122.19399","article-title":"Association between hypertensive disorders of pregnancy and dementia: A systematic review and meta-analysis","volume":"80","author":"Schliep","year":"2023","journal-title":"Hypertension"},{"key":"10.1016\/j.biopsych.2025.09.018_bib3","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1007\/s00737-019-01010-1","article-title":"Preeclampsia as a risk factor for postpartum depression and psychosis: A systematic review and meta-analysis","volume":"23","author":"Caropreso","year":"2020","journal-title":"Arch Womens Ment Health"},{"key":"10.1016\/j.biopsych.2025.09.018_bib4","article-title":"Consequences of maternal postpartum depression: A systematic review of maternal and infant outcomes","volume":"15","author":"Slomian","year":"2019","journal-title":"Womens Health (Lond)"},{"key":"10.1016\/j.biopsych.2025.09.018_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.yfrne.2020.100850","article-title":"Towards an understanding of women\u2019s brain aging: The immunology of pregnancy and menopause","volume":"58","author":"Barth","year":"2020","journal-title":"Front Neuroendocrinol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib6","doi-asserted-by":"crossref","DOI":"10.1177\/1753944719851950","article-title":"Inflammation, depression and cardiovascular disease in women: The role of the immune system across critical reproductive events","volume":"13","author":"Mattina","year":"2019","journal-title":"Ther Adv Cardiovasc Dis"},{"key":"10.1016\/j.biopsych.2025.09.018_bib7","doi-asserted-by":"crossref","first-page":"2087","DOI":"10.1056\/NEJMoa2405182","article-title":"Inflammation, cholesterol, lipoprotein(a), and 30-year cardiovascular outcomes in women","volume":"391","author":"Ridker","year":"2024","journal-title":"N Engl J Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib8","doi-asserted-by":"crossref","first-page":"150.e1","DOI":"10.1016\/j.ajog.2019.03.025","article-title":"Is maternal lipid profile in early pregnancy associated with pregnancy complications and blood pressure in pregnancy and long term postpartum?","volume":"221","author":"Adank","year":"2019","journal-title":"Am J Obstet Gynecol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib9","doi-asserted-by":"crossref","first-page":"3917","DOI":"10.1210\/jc.2012-1295","article-title":"Maternal lipid profile during early pregnancy and pregnancy complications and outcomes: The ABCD study","volume":"97","author":"Vrijkotte","year":"2012","journal-title":"J Clin Endocrinol Metab"},{"key":"10.1016\/j.biopsych.2025.09.018_bib10","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1159\/000538058","article-title":"Comprehensive sex-stratified genetic analysis of 28 blood biomarkers and depression reveals a significant association between depression and low levels of total protein in females","volume":"10","author":"Kiewa","year":"2024","journal-title":"Complex Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib11","doi-asserted-by":"crossref","first-page":"572","DOI":"10.1016\/S0140-6736(24)01296-0","article-title":"Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission","volume":"404","author":"Livingston","year":"2024","journal-title":"Lancet"},{"key":"10.1016\/j.biopsych.2025.09.018_bib12","series-title":"Mendelian Randomization","author":"Burgess","year":"2021"},{"key":"10.1016\/j.biopsych.2025.09.018_bib13","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2023.1297929","article-title":"Circulating inflammatory cytokines and hypertensive disorders of pregnancy: A two-sample Mendelian randomization study","volume":"14","author":"Guan","year":"2023","journal-title":"Front Immunol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib14","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1186\/s12884-024-06628-3","article-title":"Blood metabolomic and postpartum depression: A Mendelian randomization study","volume":"24","author":"Ling","year":"2024","journal-title":"BMC Pregnancy Childbirth"},{"key":"10.1016\/j.biopsych.2025.09.018_bib15","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1186\/s12916-023-03001-7","article-title":"Body mass index and inflammation in depression and treatment-resistant depression: A Mendelian randomisation study","volume":"21","author":"Karageorgiou","year":"2023","journal-title":"BMC Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib16","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1186\/s12920-023-01692-8","article-title":"Causal relationships between blood lipids and major psychiatric disorders: Univariable and multivariable Mendelian randomization analysis","volume":"16","author":"Li","year":"2023","journal-title":"BMC Med Genomics"},{"key":"10.1016\/j.biopsych.2025.09.018_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.pnpbp.2022.110534","article-title":"Systemic inflammatory regulators and 7 major psychiatric disorders: A two-sample Mendelian randomization study","volume":"116","author":"Chen","year":"2022","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib18","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1001\/jamapsychiatry.2020.3436","article-title":"Dissecting the association between inflammation, metabolic dysregulation, and specific depressive symptoms: A genetic correlation and 2-sample Mendelian randomization study","volume":"78","author":"Kappelmann","year":"2021","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib19","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","volume":"25","author":"Khandaker","year":"2020","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib20","doi-asserted-by":"crossref","first-page":"2357","DOI":"10.1017\/S0033291720000951","article-title":"Causal relationships between blood lipids and depression phenotypes: A Mendelian randomisation analysis","volume":"51","author":"So","year":"2021","journal-title":"Psychol Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib21","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.bbi.2021.07.009","article-title":"Associations of immunological proteins\/traits with schizophrenia, major depression and bipolar disorder: A bi-directional two-sample Mendelian randomization study","volume":"97","author":"Perry","year":"2021","journal-title":"Brain Behav Immun"},{"key":"10.1016\/j.biopsych.2025.09.018_bib22","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2009808118","article-title":"Mendelian randomization identifies blood metabolites previously linked to midlife cognition as causal candidates in Alzheimer\u2019s disease","volume":"118","author":"Lord","year":"2021","journal-title":"Proc Natl Acad Sci U S A"},{"key":"10.1016\/j.biopsych.2025.09.018_bib23","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001713","article-title":"Genetic predisposition to increased blood cholesterol and triglyceride lipid levels and risk of Alzheimer disease: A Mendelian randomization analysis","volume":"11","author":"Proitsi","year":"2014","journal-title":"PLoS Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib24","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1038\/s41398-021-01400-z","article-title":"Circulating biomarkers of immunity and inflammation, risk of Alzheimer\u2019s disease, and hippocampal volume: A Mendelian randomization study","volume":"11","author":"Fani","year":"2021","journal-title":"Transl Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib25","doi-asserted-by":"crossref","first-page":"e568","DOI":"10.1212\/WNL.0000000000201489","article-title":"Inflammatory diseases, inflammatory biomarkers, and Alzheimer disease: An observational analysis and Mendelian randomization","volume":"100","author":"Huang","year":"2023","journal-title":"Neurology"},{"key":"10.1016\/j.biopsych.2025.09.018_bib26","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1038\/s41398-023-02553-9","article-title":"Associations of cardiovascular risk factors and lifestyle behaviors with neurodegenerative disease: A Mendelian randomization study","volume":"13","author":"Huang","year":"2023","journal-title":"Transl Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib27","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1038\/ng.3406","article-title":"An atlas of genetic correlations across human diseases and traits","volume":"47","author":"Bulik-Sullivan","year":"2015","journal-title":"Nat Genet"},{"key":"10.1016\/j.biopsych.2025.09.018_bib28","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1038\/ng.3211","article-title":"LD Score regression distinguishes confounding from polygenicity in genome-wide association studies","volume":"47","author":"Bulik-Sullivan","year":"2015","journal-title":"Nat Genet"},{"key":"10.1016\/j.biopsych.2025.09.018_bib29","doi-asserted-by":"crossref","first-page":"2417","DOI":"10.1038\/s41467-019-10310-0","article-title":"Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation","volume":"10","author":"Frei","year":"2019","journal-title":"Nat Commun"},{"key":"10.1016\/j.biopsych.2025.09.018_bib30","article-title":"Dissecting the genetic overlap between three complex phenotypes with trivariate MiXeR","author":"Shadrin","year":"2024","journal-title":"medRxiv"},{"key":"10.1016\/j.biopsych.2025.09.018_bib31","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1008612","article-title":"Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model","volume":"16","author":"Holland","year":"2020","journal-title":"PLoS Genet"},{"key":"10.1016\/j.biopsych.2025.09.018_bib32","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.biopsych.2025.02.886","article-title":"Mapping the genetic landscape of psychiatric disorders with the MiXeR toolset","volume":"98","author":"Van Der Meer","year":"2025","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib33","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1176\/appi.ajp.20230053","article-title":"Meta-analyses of genome-wide association studies for postpartum depression","volume":"180","author":"Guintivano","year":"2023","journal-title":"Am J Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib34","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1002\/da.23232","article-title":"Perinatal depression is associated with a higher polygenic risk for major depressive disorder than non-perinatal depression","volume":"39","author":"Kiewa","year":"2022","journal-title":"Depress Anxiety"},{"key":"10.1016\/j.biopsych.2025.09.018_bib35","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1002\/ajmg.b.32807","article-title":"Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression","volume":"183","author":"Hagenaars","year":"2020","journal-title":"American J of Med Genetics B"},{"key":"10.1016\/j.biopsych.2025.09.018_bib36","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.jad.2010.05.016","article-title":"Gender differences in the developmental course of depression","volume":"127","author":"Essau","year":"2010","journal-title":"J Affect Disord"},{"key":"10.1016\/j.biopsych.2025.09.018_bib37","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1038\/s41582-018-0032-9","article-title":"Sex differences in Alzheimer disease \u2014 The gateway to precision medicine","volume":"14","author":"Ferretti","year":"2018","journal-title":"Nat Rev Neurol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib38","doi-asserted-by":"crossref","first-page":"2469","DOI":"10.1038\/s41380-023-01960-0","article-title":"A sex-specific genome-wide association study of depression phenotypes in UK Biobank","volume":"28","author":"Silveira","year":"2023","journal-title":"Mol Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib39","doi-asserted-by":"crossref","first-page":"4913","DOI":"10.1093\/eurheartj\/ehad736","article-title":"Mendelian randomization for cardiovascular diseases: Principles and applications","volume":"44","author":"Larsson","year":"2023","journal-title":"Eur Heart J"},{"key":"10.1016\/j.biopsych.2025.09.018_bib40","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1003062","article-title":"Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis","volume":"17","author":"Richardson","year":"2020","journal-title":"PLoS Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib41","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s13679-015-0164-9","article-title":"An overview of links between obesity and mental health","volume":"4","author":"Avila","year":"2015","journal-title":"Curr Obes Rep"},{"key":"10.1016\/j.biopsych.2025.09.018_bib42","doi-asserted-by":"crossref","first-page":"739","DOI":"10.3233\/JAD-141086","article-title":"2003\u20132013: A decade of body mass index, Alzheimer\u2019s disease, and dementia","volume":"43","author":"Emmerzaal","year":"2015","journal-title":"J Alzheimers Dis"},{"key":"10.1016\/j.biopsych.2025.09.018_bib43","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1186\/s13059-022-02837-1","article-title":"Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis","volume":"23","author":"Kanoni","year":"2022","journal-title":"Genome Biol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib44","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1001\/jamacardio.2023.1312","article-title":"Genetic risk factors associated with preeclampsia and hypertensive disorders of pregnancy","volume":"8","author":"Tyrmi","year":"2023","journal-title":"JAMA Cardiol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib45","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1038\/nature14177","article-title":"Genetic studies of body mass index yield new insights for obesity biology","volume":"518","author":"Locke","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.biopsych.2025.09.018_bib46","article-title":"Similar genetic architecture of Alzheimer\u2019s disease and differential APOE effect between sexes","volume":"13","author":"Wang","year":"2021","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.biopsych.2025.09.018_bib47","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.biopsych.2021.02.972","article-title":"Sex-dependent shared and nonshared genetic architecture across mood and psychotic disorders","volume":"91","author":"Blokland","year":"2022","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib48","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001779","article-title":"UK Biobank: An open access resource for identifying the causes of a wide range of complex diseases of middle and old age","volume":"12","author":"Sudlow","year":"2015","journal-title":"PLoS Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib49","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1093\/ije\/dyw029","article-title":"Cohort profile update: The Norwegian mother and child cohort study (MoBa)","volume":"45","author":"Magnus","year":"2016","journal-title":"Int J Epidemiol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib50","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1038\/nature09298","article-title":"Integrating common and rare genetic variation in diverse human populations","volume":"467","author":"International HapMap 3 Consortium","year":"2010","journal-title":"Nature"},{"key":"10.1016\/j.biopsych.2025.09.018_bib51","doi-asserted-by":"crossref","DOI":"10.1016\/j.nbd.2023.106174","article-title":"Shared genetic loci between Alzheimer\u2019s disease and multiple sclerosis: Crossroads between neurodegeneration and immune system","volume":"183","author":"Fominykh","year":"2023","journal-title":"Neurobiol Dis"},{"key":"10.1016\/j.biopsych.2025.09.018_bib52","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: A practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J R Stat Soc B"},{"key":"10.1016\/j.biopsych.2025.09.018_bib53","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.34408","article-title":"The MR-Base platform supports systematic causal inference across the human phenome","volume":"7","author":"Hemani","year":"2018","journal-title":"eLife"},{"key":"10.1016\/j.biopsych.2025.09.018_bib54","article-title":"Strengthening the reporting of observational studies in epidemiology using Mendelian randomisation (STROBE-MR): Explanation and elaboration","volume":"375","author":"Skrivankova","year":"2021","journal-title":"BMJ"},{"key":"10.1016\/j.biopsych.2025.09.018_bib55","doi-asserted-by":"crossref","first-page":"186","DOI":"10.12688\/wellcomeopenres.15555.1","article-title":"Guidelines for performing Mendelian randomization investigations: Update for summer 2023","volume":"4","author":"Burgess","year":"2019","journal-title":"Wellcome Open Res"},{"key":"10.1016\/j.biopsych.2025.09.018_bib56","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1038\/s41588-018-0099-7","article-title":"Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases","volume":"50","author":"Verbanck","year":"2018","journal-title":"Nat Genet"},{"key":"10.1016\/j.biopsych.2025.09.018_bib57","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1002\/gepi.22522","article-title":"Bias correction for inverse variance weighting Mendelian randomization","volume":"47","author":"Mounier","year":"2023","journal-title":"Genet Epidemiol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib58","doi-asserted-by":"crossref","first-page":"5434","DOI":"10.1002\/sim.9133","article-title":"Testing and correcting for weak and pleiotropic instruments in two-sample multivariable Mendelian randomization","volume":"40","author":"Sanderson","year":"2021","journal-title":"Stat Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib59","doi-asserted-by":"crossref","DOI":"10.1101\/cshperspect.a038984","article-title":"Multivariable Mendelian randomization and mediation","volume":"11","author":"Sanderson","year":"2021","journal-title":"Cold Spring Harb Perspect Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib60","article-title":"Roles of maternal HDL during pregnancy","volume":"1867","author":"Woollett","year":"2022","journal-title":"Biochim Biophys Acta Mol Cell Biol Lipids"},{"key":"10.1016\/j.biopsych.2025.09.018_bib61","doi-asserted-by":"crossref","first-page":"4547","DOI":"10.3390\/ijms22094547","article-title":"HDL cholesterol and non-cardiovascular disease: A narrative review","volume":"22","author":"Kjeldsen","year":"2021","journal-title":"Int J Mol Sci"},{"key":"10.1016\/j.biopsych.2025.09.018_bib62","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1038\/hr.2016.126","article-title":"Epidemiology of hypertensive disorders in pregnancy: Prevalence, risk factors, predictors and prognosis","volume":"40","author":"Umesawa","year":"2017","journal-title":"Hypertens Res"},{"key":"10.1016\/j.biopsych.2025.09.018_bib63","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2021.100992","article-title":"Role of inflammation in depression and anxiety: Tests for disorder specificity, linearity and potential causality of association in the UK Biobank","volume":"38","author":"Ye","year":"2021","journal-title":"EClinicalmedicine"},{"key":"10.1016\/j.biopsych.2025.09.018_bib64","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1002\/gepi.22459","article-title":"Clarifying the causes of consistent and inconsistent findings in genetics","volume":"46","author":"Dattani","year":"2022","journal-title":"Genet Epidemiol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib65","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1038\/s44220-024-00369-0","article-title":"Depression symptom-specific genetic associations in clinically diagnosed and proxy case Alzheimer\u2019s disease","volume":"3","author":"Gilchrist","year":"2025","journal-title":"Nat Mental Health"},{"key":"10.1016\/j.biopsych.2025.09.018_bib66","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1007\/s40471-020-00233-6","article-title":"The use of genetic correlation and Mendelian randomization studies to increase our understanding of relationships between complex traits","volume":"7","author":"Kraft","year":"2020","journal-title":"Curr Epidemiol Rep"},{"key":"10.1016\/j.biopsych.2025.09.018_bib67","article-title":"The relationship between midlife dyslipidemia and lifetime incidence of dementia: A systematic review and meta-analysis of cohort studies","volume":"15","author":"Wee","year":"2023","journal-title":"Alzheimers Dement (Amst)"},{"key":"10.1016\/j.biopsych.2025.09.018_bib68","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1002\/da.22597","article-title":"The risk factors for postpartum depression: A population-based study","volume":"34","author":"Silverman","year":"2017","journal-title":"Depress Anxiety"},{"key":"10.1016\/j.biopsych.2025.09.018_bib69","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1080\/00016340902846049","article-title":"Psychosocial risk factors for depression during pregnancy","volume":"88","author":"Bunevicius","year":"2009","journal-title":"Acta Obstet Gynecol Scand"},{"key":"10.1016\/j.biopsych.2025.09.018_bib70","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2023.1275834","article-title":"Causal effects of potential risk factors on postpartum depression: A Mendelian randomization study","volume":"14","author":"Zuo","year":"2023","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib71","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1007\/s11920-015-0617-6","article-title":"Is postpartum depression a distinct disorder?","volume":"17","author":"Di Florio","year":"2015","journal-title":"Curr Psychiatry Rep"},{"key":"10.1016\/j.biopsych.2025.09.018_bib72","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1038\/s44159-023-00260-2","article-title":"A critical evaluation of the p-factor literature","volume":"3","author":"Watts","year":"2024","journal-title":"Nat Rev Psychol"},{"key":"10.1016\/j.biopsych.2025.09.018_bib73","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1007\/s00737-014-0428-5","article-title":"Applying polygenic risk scores to postpartum depression","volume":"17","author":"Byrne","year":"2014","journal-title":"Arch Womens Ment Health"},{"key":"10.1016\/j.biopsych.2025.09.018_bib74","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1016\/S2215-0366(21)00253-4","article-title":"Post-partum psychosis and its association with bipolar disorder in the UK: a case-control study using polygenic risk scores","volume":"8","author":"Di Florio","year":"2021","journal-title":"Lancet Psychiatry"},{"key":"10.1016\/j.biopsych.2025.09.018_bib75","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.1161\/CIRCULATIONAHA.111.044784","article-title":"Associations of pregnancy complications with calculated cardiovascular disease risk and cardiovascular risk factors in middle age: The Avon longitudinal study of parents and children","volume":"125","author":"Fraser","year":"2012","journal-title":"Circulation"},{"key":"10.1016\/j.biopsych.2025.09.018_bib76","doi-asserted-by":"crossref","first-page":"2310","DOI":"10.1210\/jc.2017-00195","article-title":"Body mass index and risk of Alzheimer\u2019s disease: A Mendelian randomization study of 399,536 individuals","volume":"102","author":"Nordestgaard","year":"2017","journal-title":"J Clin Endocrinol Metab"},{"key":"10.1016\/j.biopsych.2025.09.018_bib77","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1111\/j.1467-789X.2011.00920.x","article-title":"A review of the association between obesity and cognitive function across the lifespan: Implications for novel approaches to prevention and treatment","volume":"12","author":"Smith","year":"2011","journal-title":"Obes Rev"},{"key":"10.1016\/j.biopsych.2025.09.018_bib78","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1010290","article-title":"Estimation of causal effects of a time-varying exposure at multiple time points through multivariable Mendelian randomization","volume":"18","author":"Sanderson","year":"2022","journal-title":"PLoS Genet"},{"key":"10.1016\/j.biopsych.2025.09.018_bib79","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1097\/HJH.0000000000003593","article-title":"Associations of hypertensive disorders of pregnancy with cognition, dementia, and brain structure: A Mendelian randomization study","volume":"42","author":"Li","year":"2024","journal-title":"J Hypertens"},{"key":"10.1016\/j.biopsych.2025.09.018_bib80","doi-asserted-by":"crossref","first-page":"5984","DOI":"10.1038\/s41598-024-55993-8","article-title":"Epidemiologic and genetic associations of female reproductive disorders with depression or dysthymia: A Mendelian randomization study","volume":"14","author":"Ling","year":"2024","journal-title":"Sci Rep"},{"key":"10.1016\/j.biopsych.2025.09.018_bib81","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1007\/s10995-012-1171-z","article-title":"Rates and predictors of postpartum depression by race and ethnicity: Results from the 2004 to 2007 New York City PRAMS survey (pregnancy risk assessment monitoring system)","volume":"17","author":"Liu","year":"2013","journal-title":"Matern Child Health J"},{"key":"10.1016\/j.biopsych.2025.09.018_bib82","doi-asserted-by":"crossref","DOI":"10.3389\/fcvm.2022.933822","article-title":"Hypertensive disorders of pregnancy and cardiovascular disease risk across races and ethnicities: A review","volume":"9","author":"Burger","year":"2022","journal-title":"Front Cardiovasc Med"},{"key":"10.1016\/j.biopsych.2025.09.018_bib83","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s10654-018-0424-6","article-title":"Mendelian randomization with a binary exposure variable: Interpretation and presentation of causal estimates","volume":"33","author":"Burgess","year":"2018","journal-title":"Eur J Epidemiol"}],"container-title":["Biological Psychiatry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006322325015197?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006322325015197?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T17:15:13Z","timestamp":1781457313000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0006322325015197"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":83,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["S0006322325015197"],"URL":"https:\/\/doi.org\/10.1016\/j.biopsych.2025.09.018","relation":{},"ISSN":["0006-3223"],"issn-type":[{"value":"0006-3223","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Investigating Shared Cardiovascular Factors and Genetic Overlap of Pregnancy-Related Disorders, Major Depressive Disorder, and Alzheimer\u2019s Disease","name":"articletitle","label":"Article Title"},{"value":"Biological Psychiatry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.biopsych.2025.09.018","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Society of Biological Psychiatry.","name":"copyright","label":"Copyright"}]}}