Evidence map›Paper›PMID 42431967›Full record

SynthesisNature communications2026

Genetic drivers of etiologic heterogeneity in thyroid cancer.

Yon Ho Jee, Nikita Pozdeyev, Christopher R Gignoux, Samantha White, Bryan R Haugen, Anurag Verma, Raitis Peculis, Vita Rovite, Ashley J Mulford, Alan R Sanders and 4 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Yon Ho JeeAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-4686-2186
Nikita PozdeyevDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID http://orcid.org/0000-0001-8574-1972
Christopher R GignouxDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID http://orcid.org/0000-0001-9728-6567
Samantha WhiteDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID http://orcid.org/0009-0002-8586-7668
Bryan R HaugenDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Anurag VermaDivision of Translational Medicine and Human Genetics, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-5063-9107
Raitis PeculisLatvian Biomedical Research and Study Centre, Riga, Latvia.
Vita RoviteLatvian Biomedical Research and Study Centre, Riga, Latvia.
Ashley J MulfordGenomic Health Initiative, Endeavor Health, Evanston, IL, USA.
Alan R SandersGenomic Health Initiative, Endeavor Health, Evanston, IL, USA.ORCID http://orcid.org/0000-0001-6629-4011
Cari M KitaharaDivision of Cancer Epidemiology and Genetics, Radiation Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.ORCID http://orcid.org/0000-0001-6416-4432
Mary Pat ReeveAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Peter KraftDivision of Cancer Epidemiology and Genetics,Transdivisional Research Program, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. phillip.kraft@nih.gov.ORCID http://orcid.org/0000-0002-4472-8103
Alicia R MartinAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. armartin@broadinstitute.org.ORCID http://orcid.org/0000-0003-0241-3522

Funding

Deciphering respiratory disease mechanisms through integration of genomic and functional data across massive global biobanksR01HL179112 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2025 to 2026
$1.6M
NHLBI NIH HHS R01 HL179112
6 · The paper itself

Abstract

Thyroid cancer is the most common endocrine malignancy, yet its biological underpinnings remain incompletely understood. Here we show that common risk alleles for thyroid cancer point to distinct biological pathways underlying disease susceptibility. We perform a multi-ancestry genome-wide association meta-analysis of thyroid cancer (16,167 cases and 2,430,374 controls), identifying 51 independent loci, including 21 not previously reported. By integrating these loci with genetic associations for 151 thyroid-cancer-related traits, we identify pleiotropic mechanistic clusters linked to thyroid function, oncogenic pathways, and mixed physiological function. Two thyroid-specific clusters, associated with thyroid stimulating hormone or thyroid growth and function, are enriched in thyroid tissues. Oncogenic clusters include DNA repair (ATM, CHEK2, TP53) and telomere maintenance (TERT) genes, implicating shared cancer mechanisms. Cluster-specific polygenic scores are associated with thyroid disease, cancer, and metabolic traits across ancestry groups, suggesting distinct genetic subtypes of thyroid cancer risk and supporting pleiotropy-based approaches to genetic risk stratification.

Indexed as

Genetic HeterogeneityGenetic Predisposition to DiseaseThyroid NeoplasmsGenetic Risk ScoreGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID42431967
PMCPMC13483233

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.