{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T04:46:44Z","timestamp":1776919604709,"version":"3.51.2"},"reference-count":68,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:00:00Z","timestamp":1776902400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Gestational diabetes mellitus (GDM) is a common pregnancy complication with adverse maternal and fetal outcomes, yet its genetic basis is not fully understood. Previous genome-wide association studies (GWAS) have identified only a limited number of susceptibility loci, most of which overlap with genes for type 2 diabetes (T2D).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We performed a meta-analysis of GWAS datasets from British, Finnish, and Chinese populations to identify novel genetic susceptibility loci for GDM. Functional annotation of associated variants was conducted using FUMA. We assessed cross-population genetic correlations (Popcorn) and fine-mapped ancestry-specific signals (SuSiEx). Candidate gene was then prioritized using multiple approaches, including eQTL mapping, MAGMA, TWAS-Fusion, GCTA-mBAT, and PoPs. Finally, we integrated proteomic data from BLISS and performed in-depth pathway and tissue enrichment analyses using MAGMA and GSA-MiXeR.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Our multi-pronged approach identified two novel susceptibility genes associated with GDM risk:\n                      <jats:italic>ELL2<\/jats:italic>\n                      and\n                      <jats:italic>ATRAID<\/jats:italic>\n                      . In addition, three enriched biological pathways linked to GDM loci were discovered, including: the regulation of hexokinase activity, the regulation of insulin, and the regulation of protein.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Our study links the expression of\n                      <jats:italic>ELL2<\/jats:italic>\n                      and\n                      <jats:italic>ATRAID<\/jats:italic>\n                      with the risk of GDM, and identifies three GDM-related enriched pathways. These findings provide new insights into the pathogenesis of GDM and highlights potential new targets for future research and therapeutic intervention.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fendo.2026.1718746","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T04:22:02Z","timestamp":1776918122000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Cross-ancestry analysis of gestational diabetes mellitus identifies novel loci, drug targets and biological pathways"],"prefix":"10.3389","volume":"17","author":[{"given":"Wendi","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Obstetrics, Qingdao University Affiliated Hospital","place":["Qingdao, China"]},{"name":"Nankai University Affiliated Hospital of Obstetrics and Gynecology","place":["Tianjin, 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