{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:17:40Z","timestamp":1780481860609,"version":"3.54.1"},"reference-count":34,"publisher":"The Endocrine Society","issue":"1","license":[{"start":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T00:00:00Z","timestamp":1719619200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2022J01437"],"award-info":[{"award-number":["2022J01437"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>This study aimed to explore the causal effect of body mass index (BMI) on polycystic ovarian syndrome (PCOS).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Genome-wide association data for BMI and PCOS were sourced from the Mendelian randomization (MR) base platform. Significantly associated single nucleotide polymorphisms (SNPs) for BMI served as instrumental variables in bidirectional 2-sample MR analyses to investigate the causal relationship between BMI and PCOS. Analytical techniques utilized encompassed the inverse variance weighted (IVW) method, weighted median estimator, and MR-Egger regression.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We identified 427 SNPs significantly associated with BMI (P &amp;lt; 5 \u00d7 10\u22128; linkage disequilibrium r2 &amp;lt; 0.001). Various methods consistently revealed a positive association between BMI and PCOS (IVW: odds ratio [OR] 2.027 [95% CI 1.599-2.596]; weighted median estimator: OR 2.368 [95% CI 1.653-3.392]; MR-Egger method: OR 3.610 [95% CI 1.795-7.263]), indicating that higher BMI correlates with an increased risk of PCOS. Additionally, we observed a causal effect of genetic predisposition to PCOS on BMI (IVW: OR 1.020 [95% CI 1.019-1.022]; weighted median estimator: OR 1.017 [95% CI 1.015-1.019]; MR-Egger method: OR 1.000 [95% CI 0.995-1.005]).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>The MR analysis furnished compelling evidence suggesting a causal relationship between elevated BMI and the risk of PCOS, as well as indicating that the severity of PCOS may contribute to elevated BMI levels.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1210\/clinem\/dgae446","type":"journal-article","created":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T17:18:53Z","timestamp":1719681533000},"page":"41-47","source":"Crossref","is-referenced-by-count":10,"title":["Causal Association Between BMI and Polycystic Ovarian Syndrome: Bidirectional 2-Sample Mendelian Randomization 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