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

  • Penn Medicine BioBank
  • , Virtual Thyroid Biopsy Consortium
  • , Colorado Center for Personalized Medicine
  • , Genes & Health Research Team
  • , The BioBank Japan Project
  • , Global Biobank Meta-analysis Initiative
  • University of Colorado Anschutz Medical Campus
  • Queen Mary University of London
  • The University of Tokyo
  • Broad Institute
  • Massachusetts General Hospital
  • Harvard University
  • University of Colorado Boulder
  • Vanderbilt University
  • The University of Osaka
  • RIKEN
  • University of Michigan, Ann Arbor
  • University of Pennsylvania
  • University of Oxford
  • Endeavor Health
  • Icahn School of Medicine at Mount Sinai
  • University of Leicester
  • University Hospitals of Leicester NHS Trust
  • Norwegian University of Science and Technology
  • Nord-Trøndelag Hospital Trust
  • Latvian Institute of Organic Synthesis
  • Riga Stradins University
  • The University of Chicago
  • Queensland Institute of Medical Research
  • deCODE Genetics / Amgen
  • University of Iceland
  • University of Copenhagen
  • Moffitt Cancer Center
  • University of Kentucky
  • University of Utah
  • Rutgers Cancer Institute of New Jersey
  • University of Southern California
  • Uniformed Services University of the Health Sciences
  • University of Oklahoma
  • Indiana University Bloomington
  • Roswell Park Cancer Institute
  • University of Virginia
  • Aster Insights
  • Ohio State University
  • Peking University
  • VA Medical Center
  • National Institutes of Health

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)307-316
JournalNature Genetics
Volume58
Issue number2
DOIs
Publication statusPublished - Feb 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

OECD Field of Science

  • 1.6 Biological Sciences

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