Evidence map›Paper›PMID 22630332›Full record

ArticleGenome medicine2012

Pharmacogene regulatory elements: from discovery to applications.

Robin P Smith, Ernest T Lam, Svetlana Markova, Sook Wah Yee, Nadav Ahituv

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Essential Characteristics of Pharmacogenomics Study Publications.Clinical pharmacology and therapeutics · 2019
    Review
  6. Article
  7. Article
  8. In Vivo Hepatic Enhancer Elements in the Human ABCG2 Locus.Drug metabolism and disposition: the biological fate of chemicals · 2017
    Article
  9. Article
  10. Review
  11. Article
  12. Differential Gene Expression in Age-Related Macular Degeneration.Cold Spring Harbor perspectives in medicine · 2014
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants.Proceedings of the National Academy of Sciences of the United States of America · 2013
    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

5 authors at 1 institution in 1 country.

Robin P SmithDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. sookwah.yee@ucsf.edu.
Ernest T Lam
Svetlana Markova
Sook Wah Yee
Nadav Ahituv
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regulatory elements play an important role in the variability of individual responses to drug treatment. This has been established through studies on three classes of elements that regulate RNA and protein abundance: promoters, enhancers and microRNAs. Each of these elements, and genetic variants within them, are being characterized at an exponential pace by next-generation sequencing (NGS) technologies. In this review, we outline examples of how each class of element affects drug response via regulation of drug targets, transporters and enzymes. We also discuss the impact of NGS technologies such as chromatin immunoprecipitation sequencing (ChIP-Seq) and RNA sequencing (RNA-Seq), and the ramifications of new techniques such as high-throughput chromosome capture (Hi-C), chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) and massively parallel reporter assays (MPRA). NGS approaches are generating data faster than they can be analyzed, and new methods will be required to prioritize laboratory results before they are ready for the clinic. However, there is no doubt that these approaches will bring about a systems-level understanding of the interplay between genetic variants and drug response. An understanding of the importance of regulatory variants in pharmacogenomics will facilitate the identification of responders versus non-responders, the prevention of adverse effects and the optimization of therapies for individual patients.

Identifiers

PMID22630332
PMCPMC3506911
OpenAlexW2165145892

What OpenQuestion 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 OpenQuestion graph.