Assessing thyroid cancer risk using polygenic risk scores

Sandya Liyanarachchi, Julius Gudmundsson, Egil Ferkingstad, Huiling He, Jon G Jonasson, Vinicius Tragante, Folkert W Asselbergs, Li Xu, Lambertus A Kiemeney, Romana T Netea-Maier, Jose I Mayordomo, Theo S Plantinga, Hannes Hjartarson, Jon Hrafnkelsson, Erich M Sturgis, Pamela Brock, Fadi Nabhan, Gudmar Thorleifsson, Matthew D Ringel, Kari StefanssonAlbert de la Chapelle

Research output: Contribution to journalArticleAcademicpeer-review

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 (P ≤ 1.0 × 10-9). Adding an extended PRS based on 592,475 common variants did not significantly improve the prediction power compared with the 10-SNP model, suggesting that most of the remaining undiscovered genetic risk in thyroid cancer is due to rare, moderate- to high-penetrance variants rather than to common low-penetrance variants. Based on the 10-SNP PRS, individuals in the top decile group of PRSs have a close to sevenfold greater risk (95% CI, 5.4-8.8) compared with the bottom decile group. In conclusion, PRSs based on a small number of common germline variants emphasize the importance of heritable low-penetrance markers in PTC.

Original languageEnglish
Pages (from-to)5997-6002
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume117
Issue number11
DOIs
Publication statusPublished - 17 Mar 2020

Keywords

  • Adult
  • Biomarkers, Tumor/genetics
  • Case-Control Studies
  • Cohort Studies
  • DNA Mutational Analysis
  • Female
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Humans
  • Iceland/epidemiology
  • Male
  • Middle Aged
  • Models, Genetic
  • Multifactorial Inheritance
  • Penetrance
  • Polymorphism, Single Nucleotide
  • Predictive Value of Tests
  • ROC Curve
  • Risk Assessment/methods
  • Risk Factors
  • Thyroid Cancer, Papillary/epidemiology
  • Thyroid Gland/pathology
  • Thyroid Neoplasms/epidemiology
  • United Kingdom/epidemiology
  • United States/epidemiology
  • Polygenic risk score
  • GWAS
  • Risk prediction
  • Thyroid cancer

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