PRS

PRS aggregates polygenic risk scores from genome-wide association studies (GWAS) to quantify genetic liability and investigate associations with human phenotypes for studies of complex disease etiology.


Key Features:

  • Extensive Data Integration: Incorporates 162 polygenic risk scores identified through GWAS with a significance threshold of P < 5×10^-5 and analyzed across 551 heritable traits measured in UK Biobank (n = 334,398).
  • Phenome-wide Evaluation: Enables phenome-wide analyses exemplified by assessment of schizophrenia PRS that revealed inverse associations with cognitive function measures.
  • Mendelian Randomization Evidence: Associations identified in phenome-wide screens have been further evaluated using Mendelian randomization (MR) analyses indicating potential causal relationships.
  • Advanced Analytical Frameworks: Supports mediation analysis and multivariable MR frameworks to dissect the effects of multiple risk factors on disease outcomes.

Scientific Applications:

  • Marker Discovery: Identification of novel genetic markers linked to disease susceptibility across a broad set of phenotypes.
  • Causal Pathway Analysis: Exploration of causal relationships between genetic liability and phenotypic traits using MR and related frameworks.
  • Risk Factor Decomposition: Assessment of the interplay and mediating effects of multiple genetic and environmental risk factors in disease etiology.

Methodology:

PRS were selected from GWAS at P < 5×10^-5 and analyzed across UK Biobank phenotypes using phenome-wide evaluation, Mendelian randomization (MR) analyses, mediation analysis, and multivariable MR frameworks.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
8/9/2019
Last Updated:
11/24/2024

Operations

Publications

Richardson TG, Harrison S, Hemani G, Smith GD. An atlas of polygenic risk score associations to highlight putative causal relationships across the human phenome. Unknown Journal. 2018. doi:10.1101/467910.