PRSice
PRSice calculates polygenic risk scores (PRS) across P-value thresholds to evaluate genetic liability for complex traits and enable PRS-based association and prediction analyses.
Key Features:
- High-Resolution Calculation: Calculates PRS at numerous P-value thresholds to identify best-fit PRS configurations.
- Threshold Flexibility: Generates results across a configurable range of P-value thresholds to support broad and specific analyses.
- Linkage Disequilibrium Thinning: Performs Single Nucleotide Polymorphism (SNP) thinning based on linkage disequilibrium and P-values or can include all SNPs.
- Data Compatibility: Handles both genotyped and imputed genetic data.
- Ancestry-Informative Variables: Incorporates ancestry-informative covariates into PRS analyses.
- Multi-Trait Application: Applies PRS across multiple traits within a single run.
- Implementation and Dependencies: Implemented in R with bash data-management scripts and uses PLINK-1.9 for genotype processing and score calculation.
Scientific Applications:
- Detection of Shared Genetic Aetiology: Analyzes PRS across traits to detect shared genetic factors contributing to multiple conditions.
- Genetic Signal Identification: Aggregates effect sizes across loci to improve detection of genetic signal in underpowered studies.
- Trait Architecture Inference: Evaluates PRS performance across thresholds to infer aspects of the genetic architecture of complex traits.
- Clinical Trial Screening and Biomarker Development: Uses PRS as phenotype-associated biomarkers to stratify individuals for clinical trial screening.
Methodology:
Calculates PRS at multiple P-value thresholds, identifies the best-fit PRS and estimates P-value significance thresholds, performs LD-based SNP thinning or uses all SNPs, handles genotyped and imputed data, incorporates ancestry-informative variables, applies PRS across multiple traits, and is implemented in R with bash scripts and PLINK-1.9; it has been applied to schizophrenia, major depressive disorder, and smoking datasets.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Euesden J, Lewis CM, O’Reilly PF. PRSice: Polygenic Risk Score software. Bioinformatics. 2014;31(9):1466-1468. doi:10.1093/bioinformatics/btu848. PMID:25550326. PMCID:PMC4410663.