Evidence map›Paper›PMID 39379679›Full record

ArticleCommunications medicine2024

Disease coverage of human genome-wide association studies and pharmaceutical research and development.

María Gordillo-Marañón, Amand F Schmidt, Alasdair Warwick, Chris Tomlinson, Cai Ytsma, Jorgen Engmann, Ana Torralbo, Rory Maclean, Reecha Sofat, Claudia Langenberg and 6 more

Abstract read
In one paragraph

Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Review
  7. Article
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.

María Gordillo-MarañónInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom. maria.maranon.16@ucl.ac.uk.ORCID http://orcid.org/0000-0003-2993-6577
Amand F SchmidtInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-1327-0424
Alasdair WarwickInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.
Chris TomlinsonInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-0903-5395
Cai YtsmaInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-8333-6428
Jorgen EngmannInstitute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-7015-7773
Ana TorralboInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.
Rory MacleanInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-9686-0501
Reecha SofatDepartment of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom.ORCID http://orcid.org/0000-0002-0242-6115
Claudia LangenbergPrecision Healthcare University Research Institute, Queen Mary University of London, London, United Kingdom.ORCID http://orcid.org/0000-0002-5017-7344
Anoop D ShahInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-8907-5724
Spiros DenaxasInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.
Munir PirmohamedDepartment of Pharmacology and Therapeutics, Centre for Drug Safety Science, University of Liverpool, Liverpool, United Kingdom.ORCID http://orcid.org/0000-0002-7534-7266
Harry HemingwayInstitute of Health Informatics, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-2279-0624
Aroon D Hingorani *Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-8365-0081
Chris Finan *Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-3319-1937

Funding

British Heart Foundation PG/22/10989British Heart Foundation (BHF) FS/17/70/33482Wellcome Trust
6 · The paper itself

Abstract

backgroundDespite the growing interest in the use of human genomic data for drug target identification and validation, the extent to which the spectrum of human disease has been addressed by genome-wide association studies (GWAS), or by drug development, and the degree to which these efforts overlap remain unclear.

methodsIn this study we harmonize and integrate different data sources to create a sample space of all the human drug targets and diseases and identify points of convergence or divergence of GWAS and drug development efforts.

resultsWe show that only 612 of 11,158 diseases listed in Human Disease Ontology have an approved drug treatment in at least one region of the world. Of the 1414 diseases that are the subject of preclinical or clinical phase drug development, only 666 have been investigated in GWAS. Conversely, of the 1914 human diseases that have been the subject of GWAS, 1121 have yet to be investigated in drug development.

conclusionsWe produce target-disease indication lists to help the pharmaceutical industry to prioritize future drug development efforts based on genetic evidence, academia to prioritize future GWAS for diseases without effective treatments, and both sectors to harness genetic evidence to expand the indications for licensed drugs or to identify repurposing opportunities for clinical candidates that failed in their originally intended indication.

Identifiers

PMID39379679
PMCPMC11461613

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.