{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T14:54:17Z","timestamp":1791212057646,"version":"4.1.0"},"reference-count":63,"publisher":"Bioscientifica","issue":"10","content-domain":{"domain":["journals.bioscientifica.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Growing evidence suggests a complex interplay between thyroid function and various cancers, yet their shared genetic basis and underlying mechanisms remain unclear. This study leveraged large-scale genome-wide association study (GWAS) summary statistics for four thyroid function and seven cancer traits. We systematically investigated the shared genetic architecture between thyroid function and cancer susceptibility at global, locus, gene, and functional levels. Genome-wide genetic correlations and overlap were first assessed at the global level. Pleiotropic analysis under composite null hypothesis (PLACO) was then applied to identify specific shared loci between thyroid function and cancers. At the gene level, shared genes were prioritized using expression\u2013trait association and colocalization analyses. Finally, functional enrichment and druggability analyses were conducted to explore the biological relevance of shared genes and their potential as therapeutic targets. We observed widespread global genetic overlap between thyroid function and cancers. At the locus level, PLACO identified 489 loci across 28 thyroid function\u2013cancer pairs, including 79 novel loci for both traits. Colocalization and local genetic correlation analyses further highlighted 22 key loci. At the gene level, 81 shared genes were prioritized, with NUCKS1, SLC41A1, SIVA1, CTA-398F10.2, and INSR showing consistent evidence in both expression\u2013trait association and colocalization analyses. Moreover, druggability analyses predicted 1,064 potential interactions, revealing promising targets for drug repurposing. Our integrative analysis uncovers extensive shared genetic architecture between thyroid function and multiple cancers, highlighting key loci and prioritized shared genes and providing mechanistic insights into the genetic links between thyroid function and cancer susceptibility.<\/jats:p>","DOI":"10.1530\/erc-26-0197","type":"journal-article","created":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T12:49:33Z","timestamp":1790081373000},"update-policy":"https:\/\/doi.org\/10.1530\/crossmarkpolicy-8","source":"Crossref","is-referenced-by-count":0,"title":["Insights into shared genetic architecture linking thyroid function and cancer"],"prefix":"10.1530","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3375-9761","authenticated-orcid":true,"given":"Weiming","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine, West China Hospital, Sichuan University 1 , , ,","place":["Chengdu, Sichuan, 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