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Polygenic risk scores: from research tools to clinical instruments
Cathryn M Lewis1,2, Evangelos Vassos3
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, de Crespigny Park, London, SE5 8AF, UK. cathryn.lewis@kcl.ac.uk.
Polygenic risk scores (PRS) show genetic susceptibility to complex diseases but have limited clinical utility currently. Further research is needed to overcome challenges for broader implementation in healthcare.
Area of Science:
- Genetics
- Genomics
- Personalized Medicine
Background:
- Complex diseases exhibit polygenic architecture, influenced by multiple genetic variants.
- Polygenic risk scores (PRS) aggregate these variants to estimate an individual's disease susceptibility.
- While widely used in research, the clinical utility of PRS remains largely unproven.
Purpose of the Study:
- To review the current state and potential clinical applications of polygenic risk scores (PRS).
- To discuss the challenges and opportunities for implementing PRS in disease diagnosis and treatment.
- To explore the utility of PRS across different stages of the disease trajectory.
Main Methods:
- Review of genome-wide association studies (GWAS) findings.
- Analysis of polygenic risk score (PRS) applications in research.
- Discussion of clinical implementation challenges and potential solutions.
Main Results:
- PRS confirm associations between genetic variants and disease status in research settings.
- Current PRS show low discriminative ability in the general population for lifetime disease risk.
- Potential utility exists in specific cohorts, such as those with higher disease probability or for diagnostic assistance.
Conclusions:
- PRS show promise for estimating genetic risk but require further validation for clinical use.
- Addressing limitations, including ancestry-specific performance and risk translation, is crucial.
- Future applications may involve integrating PRS into clinical decision-making at various disease stages.
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