PHESANT

PHESANT performs comprehensive phenome scans that test associations between a specified trait and continuous, integer, and categorical variables in the UK Biobank to support phenome-wide association studies and Mendelian randomization analyses.


Key Features:

  • Comprehensive phenotype analysis: Tests associations between a specified trait and all continuous, integer, and categorical variables in the UK Biobank and can focus on a user-defined subset of phenotypes.
  • Rule-based algorithm: Employs a rule-based algorithm that determines the appropriate statistical method for testing each phenotype association.
  • Implementation in R: Implemented in the R programming language for data manipulation and statistical analysis.
  • Visualization and data conversion: Integrates JavaScript D3.js for visualization of phenome scan results and includes Java code to convert results into JSON.

Scientific Applications:

  • Phenome-wide association studies (pheWAS): Enables systematic scanning of UK Biobank phenotypes to identify trait associations.
  • Mendelian randomization analyses: Supports Mendelian randomization to investigate potential causal relationships between traits using biobank data.
  • Genetic epidemiology and complex trait investigation: Facilitates investigations into complex trait associations and genetic epidemiology within large-scale biobank datasets.

Methodology:

Implemented in R, PHESANT uses a rule-based algorithm to select statistical tests per phenotype, integrates JavaScript D3.js for visualization, and includes Java code to convert results into JSON.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
R, Java
Added:
7/16/2018
Last Updated:
12/10/2018

Operations

Publications

Millard LA, Davies NM, Gaunt TR, Davey Smith G, Tilling K. Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank. International Journal of Epidemiology. 2017;47(1):29-35. doi:10.1093/ije/dyx204. PMID:29040602. PMCID:PMC5837456.

PMID: 29040602
PMCID: PMC5837456
Funding: - Medical Research Council: MC_UU_12013/1, MC_UU_12013/8, MC_UU_12013/9

Documentation