Evidence map›Paper›PMID 31786673›Full record

ArticleHuman genetics2020

Copy number variation profiling in pharmacogenes using panel-based exome resequencing and correlation to human liver expression.

Roman Tremmel, Kathrin Klein, Florian Battke, Sarah Fehr, Stefan Winter, Tim Scheurenbrand, Elke Schaeffeler, Saskia Biskup, Matthias Schwab, Ulrich M Zanger

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Copy number variations of cytochromeAsian biomedicine : research, reviews and news · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Added Value of Clinical Sequencing: WGS-Based Profiling of Pharmacogenes.International journal of molecular sciences · 2020
    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

10 authors at 2 institutions in 1 country.

Roman TremmelDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany. roman.tremmel@ikp-stuttgart.de.ORCID http://orcid.org/0000-0003-1564-0433
Kathrin KleinDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Florian BattkeCeGaT GmbH, Tübingen, Germany.
Sarah FehrCeGaT GmbH, Tübingen, Germany.
Stefan WinterDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Tim ScheurenbrandCeGaT GmbH, Tübingen, Germany.
Elke SchaeffelerDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Saskia BiskupCeGaT GmbH, Tübingen, Germany.
Matthias SchwabDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Ulrich M ZangerDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany.
Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEPraxis für Humangenetik Tübingen · DE

Funding

Horizon 2020 () 668353
6 · The paper itself

Abstract

Structural variants including copy number variations (CNV) have gained widespread attention, especially in pharmacogenomics but for several genes functional relevance and clinical evidence are still lacking. Detection of CNVs in next-generation sequencing data is challenging but offers widespread applications. We developed a cohort-based CNV detection workflow to extract CNVs from read counts of targeted NGS of 340 genes involved in absorption, distribution, metabolism and excretion (ADME) of drugs. We applied our method to 150 human liver tissue samples and correlated identified CNVs to mRNA expression levels. In total, we identified 445 deletions (73%) and 167 duplications (27%) in 36 pharmacogenes including all well-known CNVs of CYPs, GSTs, SULTs, UGTs, numerous described rare CNVs of CYP2E1, SLC16A3 or UGT2B15 as well as novel observations, e.g., for SLC22A12, SLC22A17 and GPS2 (G Protein Pathway Suppressor 2). We were able to fine-map complex CNVs of CYP2A6 and CYP2D6 with exon resolution. Correlation analysis confirmed known expression patterns for common CNVs and suggested an influence on expression variability for some rare CNVs. Our straightforward CNV detection workflow can be easily applied to any NGS coverage data and helped to analyze CNVs in an ADME-NGS panel of 340 pharmacogenes to improve genotype-phenotype correlations.

Indexed as

DNA Copy Number VariationsGenetic MarkersComputational BiologyExome SequencingHigh-Throughput Nucleotide SequencingHumansLiverPharmacogeneticsRetrospective StudiesGenetic Markers

Identifiers

PMID31786673
OpenAlexW2989944812

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.