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Article summary:

1. Polygenic risk scores (PRS) are widely used in biomedical research to assess shared aetiology between phenotypes, evaluate the clinical utility of genetic data for common disease, and as part of experimental studies.

2. PRS can be calculated using different methods and require standard quality control steps to ensure accuracy and consistency between studies.

3. PRS provide an estimate of genetic propensity to a trait at the individual level and are suitable for a range of applications, including identifying shared aetiology among traits, testing for gene-environment and gene-gene interactions, performing Mendelian Randomisation studies, and patient stratification and sub-phenotyping. However, there are minimal guidelines on how best to perform and interpret PRS analyses.

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