Evidence map›Paper›PMID 30759001›Full record

ReviewAnnals of the American Thoracic Society2018

Applying Functional Genomics to Chronic Obstructive Pulmonary Disease.

Edwin K Silverman

Abstract readReview
In one paragraph

Review in Annals of the American Thoracic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  8. Advancing Chronic Obstructive Pulmonary Disease Therapy: Opportunities, Challenges, and Excitement.American journal of respiratory cell and molecular biology · 2019
    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 at 1 institution in 1 country.

Edwin K SilvermanChanning Division of Network Medicine and Pulmonary and Critical Care Medicine Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · US

Funding

Respiratory Computational Discovery CoreP01HL114501 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHOI, MARY E · 2013 to 2025
$24.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
COPD Susceptibility, Heterogeneity, and Progression: Proteomics and GeneticsR01HL133135 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORITZ, ROBERT L, SILVERMAN, EDWIN K · 2017 to 2025
$7.2M
Identifying Genetic Determinants of Severe, Early-Onset COPDR01HL113264 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, MICHAEL H., SILVERMAN, EDWIN K · 2012 to 2016
$6.0M
Identifying functional variants in COPD GWAS lociR01HL137927 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, MICHAEL H., SILVERMAN, EDWIN K · 2017 to 2020
$3.5M
Functional Genomic Approaches to Dissect COPD GWAS LociR33HL120794 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K, ZHOU, ANNY XIAOBO · 2016 to 2018
$1.7M
Aspen Lung Conference on COPD: Translating Resilience and Pathogenesis to Personalized Therapy for COPDR13HL142192 · NHLBI · NATIONAL JEWISH HEALTH · PI PETRACHE, IRINA, VANDIVIER, RICHARD W · 2018 to 2018
$30k
NHLBI NIH HHS P01 HL114501NHLBI NIH HHS R01 HL113264NHLBI NIH HHS R01 HL133135NHLBI NIH HHS R01 HL137927NHLBI NIH HHS R13 HL142192NHLBI NIH HHS R33 HL120794NHLBI NIH HHS U01 HL089856
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified more than 20 genomic regions associated with chronic obstructive pulmonary disease (COPD) susceptibility. However, the functional genetic variants within these COPD GWAS loci remain largely unidentified, thus limiting translation of these GWAS discoveries to new disease insights. Whole-exome and whole-genome sequencing studies have the potential to identify rare genetic determinants of COPD. Efforts to understand the biological effects of novel COPD genetic loci include gene-targeted murine models, integration of additional omics data (including transcriptomics and epigenetics), and functional variant identification. COPD genetic determinants likely act through biological networks, and a variety of network-based approaches have been used to gain insights into COPD susceptibility and heterogeneity.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAnimalsDisease Models, AnimalGenome, HumanHumansLungMicePolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveQuantitative Trait Lociassociation analysischronic obstructive pulmonary diseasegeneticsintegrative genomicsnetwork medicine

Identifiers

PMID30759001
PMCPMC6322003
OpenAlexW2904102960

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.