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Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
by
Nioi, Paul
, Deaton, Aimee M.
, Nguyen, Phuong A.
, Born, David A.
, Ward, Lucas D.
in
631/114
/ 631/154/1438
/ 631/208
/ 631/553
/ Clinical trials
/ Clinical Trials as Topic
/ Correlation analysis
/ Drug development
/ Drug-Related Side Effects and Adverse Reactions - genetics
/ Genes
/ Genetic Association Studies
/ Genetic diversity
/ Genetic Predisposition to Disease
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Phenotype
/ Phenotypes
/ Proteins
/ Regression Analysis
/ Retrospective Studies
/ Safety
/ Science
/ Science (multidisciplinary)
/ Side effects
2019
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Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
by
Nioi, Paul
, Deaton, Aimee M.
, Nguyen, Phuong A.
, Born, David A.
, Ward, Lucas D.
in
631/114
/ 631/154/1438
/ 631/208
/ 631/553
/ Clinical trials
/ Clinical Trials as Topic
/ Correlation analysis
/ Drug development
/ Drug-Related Side Effects and Adverse Reactions - genetics
/ Genes
/ Genetic Association Studies
/ Genetic diversity
/ Genetic Predisposition to Disease
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Phenotype
/ Phenotypes
/ Proteins
/ Regression Analysis
/ Retrospective Studies
/ Safety
/ Science
/ Science (multidisciplinary)
/ Side effects
2019
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Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
by
Nioi, Paul
, Deaton, Aimee M.
, Nguyen, Phuong A.
, Born, David A.
, Ward, Lucas D.
in
631/114
/ 631/154/1438
/ 631/208
/ 631/553
/ Clinical trials
/ Clinical Trials as Topic
/ Correlation analysis
/ Drug development
/ Drug-Related Side Effects and Adverse Reactions - genetics
/ Genes
/ Genetic Association Studies
/ Genetic diversity
/ Genetic Predisposition to Disease
/ Humanities and Social Sciences
/ Humans
/ multidisciplinary
/ Phenotype
/ Phenotypes
/ Proteins
/ Regression Analysis
/ Retrospective Studies
/ Safety
/ Science
/ Science (multidisciplinary)
/ Side effects
2019
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Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
Journal Article
Phenotypes associated with genes encoding drug targets are predictive of clinical trial side effects
2019
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Overview
Only a small fraction of early drug programs progress to the market, due to safety and efficacy failures, despite extensive efforts to predict safety. Characterizing the effect of natural variation in the genes encoding drug targets should present a powerful approach to predict side effects arising from drugging particular proteins. In this retrospective analysis, we report a correlation between the organ systems affected by genetic variation in drug targets and the organ systems in which side effects are observed. Across 1819 drugs and 21 phenotype categories analyzed, drug side effects are more likely to occur in organ systems where there is genetic evidence of a link between the drug target and a phenotype involving that organ system, compared to when there is no such genetic evidence (30.0 vs 19.2%; OR = 1.80). This result suggests that human genetic data should be used to predict safety issues associated with drug targets.
Safety issues including side effects are one of the major factors causing failure of clinical trials in drug development. Here, the authors leverage information about phenotypes associated with variation in genes encoding drug targets to predict drug-treatment-related side effects.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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