{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T09:58:37Z","timestamp":1780567117099,"version":"3.54.1"},"reference-count":41,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T00:00:00Z","timestamp":1693872000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJOG"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>Observational studies have described associations between obesity and adverse outcomes of pregnancy but observational results are liable to influence by residual confounding. Mendelian randomisation (MR) leverages the \u2018natural\u2019 genetic randomisation to risk of an exposure occurring at allele assortment and conception. Similar to randomisation in a clinical trial, this limits the potential for the influence of confounding.<\/jats:p><\/jats:sec><jats:sec><jats:title>Design<\/jats:title><jats:p>A two\u2010sample MR study.<\/jats:p><\/jats:sec><jats:sec><jats:title>Setting<\/jats:title><jats:p>Summary statistics from published genome wide association studies (GWAS) in European ancestry populations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Population or Sample<\/jats:title><jats:p>Instrumental variants for body mass index (BMI) were obtained from a study on 434\u2009794 females.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Inverse\u2010variance weighted MR was used to assess the association between BMI and all outcomes. Sensitivity analyses with weighted median and MR\u2010Egger were also performed.<\/jats:p><\/jats:sec><jats:sec><jats:title>Main outcome measures<\/jats:title><jats:p>Female\u2010specific genetic association estimates for outcomes were extracted from the sixth round of analysis of the FINNGEN cohort data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Higher genetically predicted BMI was associated with higher risk of pre\u2010eclampsia (odds ratio [OR] per standard deviation 1.68, 95% confidence interval [CI] 1.46\u20131.94, <jats:italic>P<\/jats:italic>\u2009=\u20098.74\u2009\u00d7\u200910<jats:sup>\u221213<\/jats:sup>), gestational diabetes (OR 1.67, 95% CI 1.46\u20131.92, <jats:italic>P<\/jats:italic>\u2009=\u20095.35\u2009\u00d7\u200910<jats:sup>\u221214<\/jats:sup>), polyhydramnios (OR 1.40, 95% CI 1.00\u20131.96, <jats:italic>P<\/jats:italic>\u2009=\u20090.049). There was evidence suggestive of a potential association with higher risk of premature rupture of membranes (OR 1.16, 95% CI 1.00\u20131.36, <jats:italic>P<\/jats:italic>\u2009=\u20090.050) and postpartum depression (OR 1.12, 95% CI 0.99\u20131.27, <jats:italic>P<\/jats:italic>\u2009=\u20090.062).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Higher genetically predicted BMI is associated with marked increase in risk of pre\u2010eclampsia, gestational diabetes and polyhydramnios. The relation between genetically predicted BMI and premature rupture of membranes and postpartum depression should be assessed in further studies. Our study supports efforts to target BMI as a cardinal risk factor for maternal morbidity in pregnancy.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1471-0528.17650","type":"journal-article","created":{"date-parts":[[2023,9,5]],"date-time":"2023-09-05T07:48:10Z","timestamp":1693900090000},"page":"493-499","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Genetically predicted body mass index and maternal outcomes of pregnancy: A two\u2010sample Mendelian randomisation study"],"prefix":"10.1111","volume":"131","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2654-8117","authenticated-orcid":false,"given":"Maddalena","family":"Ardissino","sequence":"first","affiliation":[{"name":"Nuffield Department of Population Health University of Oxford  Oxford UK"},{"name":"National Heart and Lung Institute, Imperial College London Hammersmith Hospital  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0081-7670","authenticated-orcid":false,"given":"Miranda","family":"Geddes\u2010Barton","sequence":"additional","affiliation":[{"name":"Nuffield Department of Population Health University of Oxford  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9442-9662","authenticated-orcid":false,"given":"Anita","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Guy's and St Thomas\u2019 Hospitals NHS Foundation Trust  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0061627"},{"key":"e_1_2_12_3_1","volume-title":"National maternity and perinatal audit: clinical report 2019. 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