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Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases

Title: Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases
Authors: Samantha L White; Maizy S Brasher; Jack Pattee; Wei Zhou; Sinéad Chapman; Yon Ho Jee; Caitlin C Bell; Taylor L Jamil; Martin Barrio; Christopher H Arehart; Luke M Evans; Jibril Hirbo; Nancy J Cox; Peter Straub; Shinichi Namba; Emily Bertucci-Richter; Lindsay Guare; Ahmed Edris; Sam Morris; Ashley J Mulford; Haoyu Zhang; Brian Fennessy; Martin D Tobin; Jing Chen; Alexander T Williams; Catherine John; David A van Heel; Rohini Mathur; Sarah Finer; Marta R Moksnes; Ben M Brumpton; Bjørn Olav Åsvold; Raitis Peculis; Vita Rovite; Ilze Konrade; Ying Wang; Kristy Crooks; Sameer Chavan; Matthew J Fisher; Nicholas Rafaels; Meng Lin; Jonathan A Shortt; Alan R Sanders; David C Whiteman; Stuart MacGregor; Sarah E Medland; Unnur Thorsteinsdóttir; Kári Stefánsson; Tugce Karaderi; Kathleen M Egan; Therese Bocklage; Hilary C McCrary; Gregory Riedlinger; Bodour Salhia; Craig Shriver; Minh D Phan; Janice L Farlow; Stephen Edge; Varinder Kaur; Michelle L Churchman; Robert J Rounbehler; Pamela L Brock; Matthew D Ringel; Milton Pividori; Rebecca Schweppe; Christopher D Raeburn; Robin G Walters; Zhengming Chen; Liming Li; Koichi Matsuda; Yukinori Okada; Sebastian Zöllner; Anurag Verma; Penn Medicine BioBank; Michael H Preuss; Eimear Kenny; Audrey E Hendricks; Lauren Fishbein; Peter Kraft; Mark J Daly; Benjamin M Neale; Virtual Thyroid Biopsy Consortium; Colorado Center for Personalized Medicine; Genes & Health Research Team; BioBank Japan Project; Alicia R Martin; Joanne B Cole; Bryan R Haugen; Global Biobank Meta-analysis Initiative; Christopher R Gignoux; Nikita Pozdeyev
Publication Year: 2026
Collection: University of Leicester: Figshare
Subject Terms: Agricultural biotechnology; Biological sciences; Bioinformatics and computational biology; Genetics; Biomedical and clinical sciences; Genome-wide association studies; Thyroid cancer
Description: Thyroid diseases are common and highly heritable. We performed a meta-analysis of genome-wide association studies from 19 biobanks for five thyroid diseases: thyroid cancer (ThC), benign nodular goiter, Graves' disease, lymphocytic thyroiditis and primary hypothyroidism. We analyzed genetic association data from ~2.9 million genomes and identified 313 known and 570 new independent loci linked to thyroid diseases. We discovered genetic correlations between ThC, benign nodular goiter and autoimmune thyroid diseases (rg = 0.16-0.97). Telomere maintenance genes contributed to benign and malignant thyroid nodular disease risk, whereas cell cycle, DNA repair and damage response genes were associated with ThC. We propose a paradigm that explains genetic predisposition to benign and malignant thyroid nodules. We found polygenic risk score associations with ThC risk of structural disease recurrence, tumor size, multifocality, lymph node metastases and extranodal extension. Polygenic risk scores identified individuals with aggressive ThC in a biobank, creating an opportunity for genetically informed population screening.
Document Type: article in journal/newspaper
Language: unknown
Relation: 2381/31325398.v1
Availability: https://figshare.com/articles/journal_contribution/Global_multi-ancestry_genome-wide_analyses_identify_genes_and_biological_pathways_associated_with_thyroid_cancer_and_benign_thyroid_diseases/31325398
Rights: CC BY 4.0
Accession Number: edsbas.CEE51487
Database: BASE