Abstract
Motivation: Epidemiological cohorts typically contain a diverse set of phenotypes such that automation of phenome scans is non-trivial, because they require highly heterogeneous models. For this reason, phenome scans have to date tended to use a smaller homogeneous set of phenotypes that can be analysed in a consistent fashion. We present PHESANT (PHEnome Scan ANalysis Tool), a software package for performing comprehensive phenome scans in UK Biobank. General features: PHESANT tests the association of a specified trait with all continuous, integer and categorical variables in UK Biobank, or a specified subset. PHESANT uses a novel rule-based algorithm to determine how to appropriately test each trait, then performs the analyses and produces plots and summary tables. Implementation: The PHESANT phenome scan is implemented in R. PHESANT includes a novel Javascript D3.js visualization and accompanying Java code that converts the phenome scan results to the required JavaScript Object Notation (JSON) format. Availability: PHESANT is available on GitHub at [https://github.com/MRCIEU/PHESANT]. Git tag v0.5 corresponds to the version presented here.
| Original language | English |
|---|---|
| Article number | dyx218 |
| Pages (from-to) | 29-35 |
| Number of pages | 7 |
| Journal | International Journal of Epidemiology |
| Volume | 47 |
| Issue number | 1 |
| Early online date | 6 Oct 2017 |
| DOIs | |
| Publication status | Published - 1 Feb 2018 |
Research Groups and Themes
- Jean Golding
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Dr Louise A C Millard
- Epidemiology and Health Data Science - Senior Lecturer in Health Data Science (Co-Director MSc in Medical Statistics and Health Data Scienc
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
Person: Academic , Member
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