Lexicon
Polygenic Risk Score
Definition
A polygenic risk score (PRS), also called a polygenic score (PGS), is a genomic estimate of an individual's genetic liability to a trait or disease, calculated from their genotype profile and genome-wide association study (GWAS) data. [1] It is calculated as a weighted sum of an individual's risk alleles at single-nucleotide polymorphisms (SNPs), using the effect sizes estimated by GWAS as the weights. [2] In precision medicine, the PRS has become the standard for quantifying genetic liability when predicting disease risk, and its use has been explored in cancer, coronary artery disease, obesity and diabetes as well as in non-disease traits such as clinical biomarkers. [2] A PRS can incorporate many possibly correlated variants from across the genome, including variants that do not reach genome-wide significance, whereas a genetic risk score (GRS) usually sums a smaller subset of variants that do reach genome-wide significance. [3] PRS address polygenic rather than monogenic risk: in coronary artery disease, monogenic causes occur in approximately 1 out of 250 people, whereas at the population level hundreds of common variants with small effect sizes have even greater influence. [4]
How it works
GWAS have shown that common complex disorders have a polygenic genetic architecture, and the associated variants can be combined into a score that captures part of an individual's susceptibility to disease. [5] Because the predictive value of any single common variant is limited, a PRS aggregates suites of disease-associated common variants. [6] PRS information can reflect the causally mediated risk to which an individual is exposed throughout life, whereas conventional clinical risk factors for coronary artery disease and atrial fibrillation may not be identified before mid-adult life, when pathophysiological processes are already established. [7] [6] Present PRS typically explain only a small fraction of trait variance, even though they correlate with genetic liability, the single largest contributor to phenotypic variation. [1] Polygenic background also modifies monogenic disease: a PRS explains a significant portion of phenotypic variability in carriers of rare variants causing hypertrophic cardiomyopathy, and the absolute breast cancer risk increase in carriers of BRCA1 and BRCA2 pathogenic variants depends on breast cancer PRS. [8]
Connected concepts
How it's measured
A PRS requires germline genotype data; direct-to-consumer genetic testing companies genotype on genome-wide chips of up to 1 million variants, and some report PRS, for example 23andMe for type 2 diabetes. [5] Published construction methods include pruning or clumping and thresholding (C+T), lassosum regression, LDpred and metaGRS. [12] In the standard C+T approach, SNPs are clumped by linkage disequilibrium and only those below a GWAS P-value threshold enter the score, whereas shrinkage methods such as LDpred shrink the effect estimates of all SNPs. [1] It remains unclear which of the numerous PRS methods developed so far is most suitable for accurate prediction. [2] The raw score may be standardised to a standard normal distribution, and an individual's result can then be expressed as a percentile of the population distribution. [1] [5] The Polygenic Risk Score Reporting Standards (PRS-RS), from the ClinGen Complex Disease Working Group and the PGS Catalog, define the minimal information needed to interpret and evaluate a PRS and encourage depositing scores in the PGS Catalog for reproducibility and benchmarking.
Community knowledge
The longevitydocs community's collective insight and shared knowledge on this concept — across text, video, audio and images from members and faculty, reserved for members.
Learn about our Membership planReferences
- 1.Choi SW, Mak TS, O'Reilly PF. Tutorial: a guide to performing polygenic risk score analyses. Nat Protoc · 2020
- 2.Konuma T, Okada Y. Statistical genetics and polygenic risk score for precision medicine. Inflamm Regen · 2021
- 3.Luckett AM, Weedon MN, Hawkes G, Leslie RD, Oram RA, Grant SFA. Utility of genetic risk scores in type 1 diabetes. Diabetologia · 2023
- 4.Schunkert H, Natarajan P, Samani NJ. The Inherited Basis of Coronary Artery Disease. N Engl J Med · 2026
- 5.Lewis CM, Vassos E. Polygenic risk scores: from research tools to clinical instruments. Genome Med · 2020
- 6.Gladding PA, Legget M, Fatkin D, Larsen P, Doughty R. Polygenic Risk Scores in Coronary Artery Disease and Atrial Fibrillation.
Community discussion
Clinical pearls and discussion posted by community members on this concept — signed contributions, reserved for members.
Learn about our Membership plan