Evidence map›Paper›PMID 30925849›Full record

ReviewExpert review of respiratory medicine2019

Pharmacogenomics of chronic obstructive pulmonary disease.

Craig P Hersh

Abstract readReview
In one paragraph

Review in Expert review of respiratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Identification ofFrontiers in immunology · 2026
    Review
  2. Annals of medicine · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. 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

1 author.

Craig P Hersha Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine , Brigham and Women's Hospital, Harvard Medical School , Boston , MA , USA.

Funding

SYSTEMS GENOMICS OF THE ASTHMA-COPD OVERLAP SYNDROMER01HL130512 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2016 to 2019
$3.5M
INTEGRATIVE GENOMICS OF CLINICAL SUBTYPES IN COPDGENER01HL125583 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2015 to 2018
$3.5M
NHLBI NIH HHS R01 HL125583NHLBI NIH HHS R01 HL130512
6 · The paper itself

Abstract

introductionChronic obstructive pulmonary disease (COPD) is a heterogeneous condition, which presents the opportunity for precision therapy based on genetics or other biomarkers. Areas covered: Alpha-1 antitrypsin deficiency, a genetic form of emphysema, provides an example of this precision approach to diagnosis and therapy. To date, research in COPD pharmacogenomics has been limited by small sample sizes, lack of accessible target tissue, failure to consider COPD subtypes, and different outcomes relevant for various medications. There have been several published genome-wide association studies and other omics studies in COPD pharmacogenomics; however, clinical implementation remains far away. There is a growing evidence base for precision prescription of inhaled corticosteroids in COPD, based on clinical phenotypes and blood biomarkers, but not yet based on pharmacogenomics. Expert opinion: At this time, there is insufficient evidence for clinical implementation of COPD pharmacogenomics. Additional genome-wide studies will be required to discover predictors of drug response and to identify genomic biomarkers of COPD subtypes, which could be targeted with subtype-directed therapies.

Indexed as

PharmacogeneticsPrecision MedicineAdministration, InhalationAdrenal Cortex Hormonesalpha 1-Antitrypsin DeficiencyGenome-Wide Association StudyHumansPulmonary Disease, Chronic ObstructiveAdrenal Cortex HormonesAlpha-1 antitrypsin deficiencybronchodilator responsegenome-wide association studyinhaled corticosteroidsprecision medicine

Identifiers

PMID30925849
PMCPMC6482089

What OpenQuestion holds

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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.