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We aimed to clarify this association using a genome-wide cross-trait approach.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Summary statistics from the hitherto largest genome-wide association studies conducted for type 2 diabetes, type 2 diabetes mellitus adjusted for BMI (T2DM\n                      <jats:sub>adj<\/jats:sub>\n                      BMI), fasting glucose, fasting insulin, 2h glucose after an oral glucose challenge (all adjusted for BMI), HbA\n                      <jats:sub>1c<\/jats:sub>\n                      and PCOS, all in populations of European ancestry, were used. We quantified overall and local genetic correlations, identified pleiotropic loci and expression\u2013trait associations, and made causal inferences across traits.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A positive overall genetic correlation between type 2 diabetes and PCOS was observed, largely influenced by BMI (\n                      <jats:italic>r<\/jats:italic>\n                      <jats:sub>\n                        <jats:italic>g<\/jats:italic>\n                      <\/jats:sub>\n                      =0.31,\n                      <jats:italic>p<\/jats:italic>\n                      =1.63\u00d710\n                      <jats:sup>\u20138<\/jats:sup>\n                      ) but also independent of BMI (T2DM\n                      <jats:sub>adj<\/jats:sub>\n                      BMI\u2013PCOS:\n                      <jats:italic>r<\/jats:italic>\n                      <jats:sub>\n                        <jats:italic>g<\/jats:italic>\n                      <\/jats:sub>\n                      =0.12,\n                      <jats:italic>p<\/jats:italic>\n                      =0.03). Sixteen pleiotropic loci affecting type 2 diabetes, glycaemic traits and PCOS were identified, suggesting mechanisms of association that are independent of BMI. Two shared expression\u2013trait associations were found for type 2 diabetes\/T2DM\n                      <jats:sub>adj<\/jats:sub>\n                      BMI and PCOS targeting tissues of the cardiovascular, exocrine\/endocrine and digestive systems. A putative causal effect of fasting insulin adjusted for BMI and type 2 diabetes on PCOS was demonstrated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions\/interpretation<\/jats:title>\n                    <jats:p>We found a genetic link underlying type 2 diabetes, glycaemic traits and PCOS, driven by both biological pleiotropy and causal mediation, some of which is independent of BMI. Our findings highlight the importance of controlling fasting insulin levels to mitigate the risk of PCOS, as well as screening for and long-term monitoring of type 2 diabetes in all women with PCOS, irrespective of BMI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1007\/s00125-022-05746-x","type":"journal-article","created":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T01:03:01Z","timestamp":1656550981000},"page":"1483-1494","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":55,"title":["A genome-wide cross-trait analysis identifies shared loci and causal relationships of type 2 diabetes and glycaemic traits with polycystic ovary syndrome"],"prefix":"10.1007","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1928-4096","authenticated-orcid":false,"given":"Qianwen","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1391-2522","authenticated-orcid":false,"given":"Bowen","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5662-1541","authenticated-orcid":false,"given":"Zhaozhong","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4472-8103","authenticated-orcid":false,"given":"Peter","family":"Kraft","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5934-7816","authenticated-orcid":false,"given":"Qiaolin","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3424-1502","authenticated-orcid":false,"given":"Elisabet","family":"Stener-Victorin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5878-8986","authenticated-orcid":false,"given":"Xia","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,30]]},"reference":[{"issue":"3","key":"5746_CR1","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1016\/j.fertnstert.2021.04.018","volume":"116","author":"S Persson","year":"2021","unstructured":"Persson S, Elenis E, Turkmen S, Kramer MS, Yong EL, Poromaa IS (2021) Higher risk of type 2 diabetes in women with hyperandrogenic polycystic ovary syndrome. 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