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 |
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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
- Bristol Medical School (PHS) - 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