ArticleProceedings of the National Academy of Sciences of the United States of America2020
Assessing thyroid cancer risk using polygenic risk scores.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases.Nature genetics · 2026Pooled it
- Investigation of Shared Genetic Risk Factors Between Parkinson's Disease and Cancers.Movement disorders : official journal of the Movement Disorder Society · 2023Pooled it
- Differences in the aggressiveness of familial versus sporadic non-medullary thyroid cancer: An unresolved controversy.Archives of endocrinology and metabolism · 2026Article
- Effects of polygenic risk score communication on short term health outcomes: systematic review and meta-analysis.BMJ medicine · 2026Article
- Review
- Polygenic Score for Clinicopathologic Features and Survival Outcomes in Papillary Thyroid Carcinoma.JAMA otolaryngology-- head & neck surgery · 2025Article
- Incorporation of clinical features into a multivariate logistic regression model for the differential diagnosis of benign and malignant TI-RADS 4 thyroid nodules.Frontiers in endocrinology · 2025Article
- Clinically Relevant Germline Variants in Children With Nonmedullary Thyroid Cancer.The Journal of clinical endocrinology and metabolism · 2024Article
- Investigating the Association of Polygenic Risk Scores With Thyroid Cancer Susceptibility in a Han Chinese Population.Journal of the Endocrine Society · 2024Article
- Polygenic risk scores, radiation treatment exposures and subsequent cancer risk in childhood cancer survivors.Nature medicine · 2024Article
- Chromosomal localization of mutated genes in non-syndromic familial thyroid cancer.Frontiers in oncology · 2024Review
- Investigation of common genetic risk factors between thyroid traits and breast cancer.Human molecular genetics · 2023Article
- Role of ST6GAL1 in Thyroid Cancers: Insights from Tissue Analysis and Genomic Datasets.International journal of molecular sciences · 2023Article
- The proposed modification of TNM staging and therapeutic strategy for skip metastasis in papillary thyroid carcinoma: A multicenter retrospective cohort study.Cancer medicine · 2023Article
- Evaluation of polygenic risk score for risk prediction of gastric cancer.World journal of gastrointestinal oncology · 2023Review
- Establishing a Prediction Model for the Efficacy of Platinum-Based Chemotherapy in NSCLC Based on a Two Cohorts GWAS Study.Journal of clinical medicine · 2023Article
- Association Between Genetic Risk, Adherence to Healthy Lifestyle Behavior, and Thyroid Cancer Risk.JAMA network open · 2022Article
- Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach.European thyroid journal · 2022Article
- Epidemiology of Thyroid Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Expression ofMolecular medicine reports · 2022Article
Corrections and comments
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Authors and funding
21 authors at 8 institutions in 4 countries.
Funding
Abstract
Genome-wide association studies (GWASs) have identified at least 10 single-nucleotide polymorphisms (SNPs) associated with papillary thyroid cancer (PTC) risk. Most of these SNPs are common variants with small to moderate effect sizes. Here we assessed the combined genetic effects of these variants on PTC risk by using summarized GWAS results to build polygenic risk score (PRS) models in three PTC study groups from Ohio (1,544 patients and 1,593 controls), Iceland (723 patients and 129,556 controls), and the United Kingdom (534 patients and 407,945 controls). A PRS based on the 10 established PTC SNPs showed a stronger predictive power compared with the clinical factors model, with a minimum increase of area under the receiver-operating curve of 5.4 percentage points (
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