Evidence map›Paper›PMID 29273096›Full record

ArticleGenome medicine2017

Genetic variation in human drug-related genes.

Charlotta Pauline Irmgard Schärfe, Roman Tremmel, Matthias Schwab, Oliver Kohlbacher, Debora Susan Marks

Abstract read
In one paragraph

Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. A multi-omics integrative analyses revealsFrontiers in pharmacology · 2026
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  20. Pharmacogenetic DPYD allele variant frequencies: A comprehensive analysis across an ancestrally diverse Iranian population.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Article

17 more citing papers are in PubMed but not listed here.

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

5 authors.

Charlotta Pauline Irmgard SchärfeDepartment of Systems Biology, Harvard Medical School, Boston, 02115, Massachusetts, USA.
Roman TremmelDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, 70376, Stuttgart, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, 70376, Stuttgart, Germany.
Oliver KohlbacherCenter for Bioinformatics, University of Tübingen, 72076, Tübingen, Germany. oliver.kohlbacher@uni-tuebingen.de.
Debora Susan MarksDepartment of Systems Biology, Harvard Medical School, Boston, 02115, Massachusetts, USA. debbie@hms.harvard.edu.

Funding

Horizon 2020 668353
6 · The paper itself

Abstract

backgroundVariability in drug efficacy and adverse effects are observed in clinical practice. While the extent of genetic variability in classic pharmacokinetic genes is rather well understood, the role of genetic variation in drug targets is typically less studied.

methodsBased on 60,706 human exomes from the ExAC dataset, we performed an in-depth computational analysis of the prevalence of functional variants in 806 drug-related genes, including 628 known drug targets. We further computed the likelihood of 1236 FDA-approved drugs to be affected by functional variants in their targets in the whole ExAC population as well as different geographic sub-populations.

resultsWe find that most genetic variants in drug-related genes are very rare (f < 0.1%) and thus will likely not be observed in clinical trials. Furthermore, we show that patient risk varies for many drugs and with respect to geographic ancestry. A focused analysis of oncological drug targets indicates that the probability of a patient carrying germline variants in oncological drug targets is, at 44%, high enough to suggest that not only somatic alterations but also germline variants carried over into the tumor genome could affect the response to antineoplastic agents.

conclusionsThis study indicates that even though many variants are very rare and thus likely not observed in clinical trials, four in five patients are likely to carry a variant with possibly functional effects in a target for commonly prescribed drugs. Such variants could potentially alter drug efficacy.

Indexed as

Mutation RatePharmacogenomic VariantsDrug-Related Side Effects and Adverse ReactionsGenome, HumanHumansBioinformatics analysisExome sequence analysisPharmacogenomics

Identifiers

PMID29273096
PMCPMC5740940

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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.