Viewing PRS Distributions for Various Genetic Cohorts

This interactive page allows you to visualize polygenic risk score distributions and summary statistics generated for each study. These distributions have been created by running the PRS Calculator on the UK Biobank, each population in the 1000 Genomes Project, and the Alzheimer's Disease Neuroimaging Initiate. This page allows for raw scores calculated from the Calculate page to be contextualized against different populations.

Notably, the UK Biobank cohort uses score percentiles from approximately 500,000 relatively-healthy individuals in the United Kingdom. For more information on the UK Biobank and the anonymized genetic data used to generate these statistics, please visit the UK Biobank website. Please note: the majority of individuals from in the UK Biobank have European ancestry, and polygenic risk scores from one population are generally not comparable to scores for individuals from a different population. Therefore, we also include contextualization for the five superpopulations in the 1000 Genomes Project. For more information on the five superpopulations, you can visit the International Genome Sample Resource website. Comparisons to individuals from the Alzheimer's Disease Neuroimaging Initiative can also be visualized.

User-defined queries allow you to view summary statistics for specific studies. First, select the trait or disease of interest. Next, select the type of study (e.g., high impact or all studies) and the specific study by author, year, and accession number. Finally, select the cohort and click "View Score Distribution." A violin plot of the score distributions will appear with a table of summary statistics and study-specific information. Users can toggle between violin, box, and line plots. The line plot shows the progression of scores for each percentile rank (i.e., for the specific cohort, how many individuals have a score at or below a specific polygenic risk score?).

Cohort data is updated at least once a year. For studies that use beta values, our calculation of summary statistics (seen in the table) take the absolute value of the polygenic risk scores and then perform summary calculations. If a risk score was reported as 0.0, that value is replaced with 0.001.