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Updated: Jun 18, 2025

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
Genetic factors associated with reasons for clinical trial stoppage
Olesya Razuvayevskaya1,2, Irene Lopez1,2, Ian Dunham1,2,3
1Open Targets, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK.
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.
Insights
Human genetics evidence significantly boosts drug trial success. Lack of genetic support leads to trial failure due to poor efficacy or safety concerns, highlighting genetics
Area of Science:
- Pharmacology and Translational Medicine
- Genetics and Genomics in Drug Discovery
Background:
- High attrition rates plague drug discovery, with many clinical trials failing before approval.
- Prior research indicates that human genetic evidence supporting a therapeutic hypothesis improves clinical trial progression rates.
Purpose of the Study:
- To analyze the reasons for clinical trial discontinuation using natural language processing.
- To evaluate the association between trial failure reasons, therapeutic hypothesis strength (particularly human genetic evidence), and drug target properties.
Main Methods:
- Applied natural language processing (NLP) to categorize free-text reasons for 28,561 terminated clinical trials.
- Assessed categorized reasons against human genetic evidence supporting the therapeutic hypothesis and target gene characteristics.
Main Results:
- Trials lacking robust human genetic evidence (from populations or genetically modified models) were more likely to fail due to lack of efficacy.
- Trials targeting genes with high evolutionary constraint in human populations and broad tissue expression were more prone to safety-related terminations.
Conclusions:
- Human genetic validation is crucial for de-risking drug discovery programs.
- Integrating genetic evidence early can predict and mitigate risks of trial failure related to efficacy and safety.
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