Evidence map›Paper›PMID 36744935›Full record

ArticleBioinformatics (Oxford, England)2023

DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies.

Richard J Packer, Alex T Williams, William Hennah, Micaela T Eisenberg, Nick Shrine, Katherine A Fawcett, Willow Pearson, Anna L Guyatt, Ahmed Edris, Edward J Hollox and 6 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Genetics of chronic respiratory disease.Nature reviews. Genetics · 2024
    Review
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  13. Targeting TRP Channels for Pain, Itch and Neurogenic Inflammation.International journal of molecular sciences · 2023
    Article
  14. Article
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  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Richard J PackerDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.ORCID 0000-0003-2459-1020
Alex T WilliamsDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
William HennahOrion Pharma, Espoo 02200, Finland.
Micaela T EisenbergDepartment of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
Nick ShrineDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
Katherine A FawcettDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
Willow PearsonDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
Anna L GuyattDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.ORCID 0000-0003-1860-6337
Ahmed EdrisDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
Edward J HolloxDepartment of Genetics and Genome Biology, University of Leicester, Leicester LE1 7RH, UK.
Mikko MarttilaOrion Pharma, Espoo 02200, Finland.
Balasubramanya S RaoOrion Pharma, Nottingham NG1 2GB, UK.
John Raymond BrattyOrion Pharma, Nottingham NG1 2GB, UK.
Louise V WainDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.
Frank DudbridgeDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.ORCID 0000-0002-8817-8908
Martin D TobinDepartment of Population Health Sciences, University of Leicester, Leicester LE1 7RH, UK.

Funding

Medical Research Council MC_PC_19004Wellcome Trust 225221
6 · The paper itself

Abstract

summaryDeepPheWAS is an R package for phenome-wide association studies that creates clinically curated composite phenotypes and integrates quantitative phenotypes from primary care data, longitudinal trajectories of quantitative measures, disease progression and drug response phenotypes. Tools are provided for efficient analysis of association with any genetic input, under any genetic model, with optional sex-stratified analysis, and for developing novel phenotypes. AVAILABILITY AND IMPLEMENTATION: The DeepPheWAS R package is freely available under GNU general public licence v3.0 from at https://github.com/Richard-Packer/DeepPheWAS. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

PhenomicsSoftwarePhenotype

Identifiers

PMID36744935
PMCPMC10070035

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.