Evidence map›Paper›PMID 26555224›Full record

ReviewPharmacogenomics2015

Uncovering drug-responsive regulatory elements.

Marcelo R Luizon, Nadav Ahituv

Open access · greenAbstract readReview
In one paragraph

Review in Pharmacogenomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Massively parallel reporter assays forbioRxiv : the preprint server for biology · 2026
    Article
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  7. Article
  8. Review
  9. Profiling Chromatin Accessibility at Single-cell Resolution.Genomics, proteomics & bioinformatics · 2021
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

2 authors at 1 institution in 1 country.

Marcelo R LuizonDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA 94158, USA.
University of California, San Francisco · US

Funding

PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
Pharmacogenomics of Membrane TransportersU19GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KWOK, PUI-YAN · 2010 to 2014
$16.3M
Integrative interpretation of the organismal consequences of non-coding variationR01CA197139 · NCI · UNIVERSITY OF WASHINGTON · PI COOPER, GREGORY MICHAEL, SHENDURE, JAY ASHOK · 2015 to 2017
$1.9M
Identification & functional characterization of SIM1 obesity-associated variantsR01DK090382 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, VAISSE, CHRISTIAN · 2012 to 2015
$1.3M
Characterization of neuronal gene regulatory elements associated with epilepsyR01NS079231 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV · 2012 to 2015
$1.2M
NCI NIH HHS 1R01CA197139NCI NIH HHS R01 CA197139NIDDK NIH HHS R01 DK090382NIGMS NIH HHS GM61390NIGMS NIH HHS U01 GM061390NIGMS NIH HHS U19 GM061390NINDS NIH HHS 1R01NS079231NINDS NIH HHS R01 NS079231
6 · The paper itself

Abstract

Nucleotide changes in gene regulatory elements can have a major effect on interindividual differences in drug response. For example, by reviewing all published pharmacogenomic genome-wide association studies, we show here that 96.4% of the associated single nucleotide polymorphisms reside in noncoding regions. We discuss how sequencing technologies are improving our ability to identify drug response-associated regulatory elements genome-wide and to annotate nucleotide variants within them. We highlight specific examples of how nucleotide changes in these elements can affect drug response and illustrate the techniques used to find them and functionally characterize them. Finally, we also discuss challenges in the field of drug-responsive regulatory elements that need to be considered in order to translate these findings into the clinic.

Indexed as

AnimalsGenome, HumanGenome-Wide Association StudyHumansPharmaceutical PreparationsPolymorphism, Single NucleotideRegulatory Elements, TranscriptionalRegulatory Sequences, Nucleic AcidPharmaceutical PreparationsChIP-seqenhancersgene regulatory elementspharmacogenomicspromotersRNA-seqtranscriptional regulation

Identifiers

PMID26555224
PMCPMC4716675
OpenAlexW2170791339

What OpenQuestion holds

Textmetadata
LicenceTDM
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.