Evidence map›Paper›PMID 39075208›Full record

ArticleNature genetics2024

Genetic factors associated with reasons for clinical trial stoppage.

Olesya Razuvayevskaya, Irene Lopez, Ian Dunham, David Ochoa

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Pooled it
  3. Genome-scale perturbation signatures from primary human CD4bioRxiv : the preprint server for biology · 2026
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  19. Drug and Clinical Candidate Drug Data in ChEMBL.Journal of medicinal chemistry · 2025
    Review
  20. 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

4 authors.

Olesya RazuvayevskayaOpen Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Irene LopezOpen Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
Ian DunhamOpen Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
David OchoaOpen Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK. ochoa@ebi.ac.uk.ORCID http://orcid.org/0000-0003-1857-278X

Funding

Wellcome TrustWellcome Trust 206194
6 · The paper itself

Abstract

Many drug discovery projects are started but few progress fully through clinical trials to approval. Previous work has shown that human genetics support for the therapeutic hypothesis increases the chance of trial progression. Here, we applied natural language processing to classify the free-text reasons for 28,561 clinical trials that stopped before their endpoints were met. We then evaluated these classes in light of the underlying evidence for the therapeutic hypothesis and target properties. We found that trials are more likely to stop because of a lack of efficacy in the absence of strong genetic evidence from human populations or genetically modified animal models. Furthermore, certain trials are more likely to stop for safety reasons if the drug target gene is highly constrained in human populations and if the gene is broadly expressed across tissues. These results support the growing use of human genetics to evaluate targets for drug discovery programs.

Indexed as

Clinical Trials as TopicDrug DiscoveryAnimalsHuman GeneticsHumans

Identifiers

PMID39075208
PMCPMC11387188

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.