Evidence map›Paper›PMID 26756170›Full record

ReviewClinical pharmacology and therapeutics2016

The Outlier in All of Us: Why Implementing Pharmacogenomics Could Matter for Everyone.

P H O'Donnell, K Danahey, M J Ratain

Open access · greenAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.4field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Observational
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Considerations for pharmacogenomic testing in a health system.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  7. Article
  8. Review
  9. Article
  10. 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

3 authors at 1 institution in 1 country.

P H O'DonnellCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
K DanaheyCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
M J RatainCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois, USA.
University of Chicago · US

Funding

Pharmacogenomics of Anti-platlet Intervention-2 (PAPI-2) StudyU01HL105198 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2010 to 2014
$13.6M
The 1200 Patients Project: Studying Clinical Implementation of PharmacogenomicsK23GM100288 · NIGMS · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2013 to 2016
$751k
NHLBI NIH HHS 5 U01 HL105198-09NHLBI NIH HHS U01 HL105198NIGMS NIH HHS K23 GM100288NIGMS NIH HHS K23 GM100288-01A1
6 · The paper itself

Abstract

The field of pharmacogenomics originally emerged in the 1950s from observations that a few rare individuals had unexpected, severe reactions to drugs. As recently as just 6 years ago, prominent views on the subject had largely remained unchanged, with authors from the US Food and Drug Administration (FDA) citing the purpose of pharmacogenetics as "tailoring treatment for the outliers." It should not be surprising if this is the prevailing view--the best-studied pharmacogenomic drug examples are indeed just that, genetic explanations of extreme responses or susceptibilities among usually a very small fraction of the human population. Thiopurine methyltransferase (TPMT) deficiency as a cause of severe myelosuppression upon treatment with azathioprine or mercaptopurine is found as a heterozygous trait in only ∼ 10% of patients, and homozygous (deficiency) carriers are even more rare--occurring in fewer than 1 in 300 patients. Malignant hyperthermia resulting from inhaled anesthetics and succinylcholine is believed to have a genetic incidence of only about 1 in 2000 people.

Indexed as

PharmacogeneticsData Interpretation, StatisticalDrug-Related Side Effects and Adverse ReactionsGenetic Predisposition to DiseaseHumansModels, StatisticalPhenotypeRisk AssessmentRisk Factors

Identifiers

PMID26756170
PMCPMC4830348
OpenAlexW2238781096

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.