Evidence map›Paper›PMID 35965045›Full record

ReviewImmunology and allergy clinics of North America2022

Genetic Determinants in Airways Obstructive Diseases: The Case of Asthma Chronic Obstructive Pulmonary Disease Overlap.

Aabida Saferali, Craig P Hersh

Abstract readReview
In one paragraph

Review in Immunology and allergy clinics of North America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Genetics of chronic respiratory disease.Nature reviews. Genetics · 2024
    Review
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.

Aabida SaferaliChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Craig P HershChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: craig.hersh@channing.harvard.edu.

Funding

SYSTEMS GENOMICS OF THE ASTHMA-COPD OVERLAP SYNDROMER01HL130512 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HERSH, CRAIG P · 2016 to 2019
$3.5M
COPD SUBTYPES AND EARLY PREDICTION USING INTEGRATIVE PROBABILISTIC GRAPHICAL MODELS R01HL157879R01HL157879 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, SCIURBA, FRANK · 2021 to 2024
$2.9M
Integrative 'Omics of Transcriptome Complexity in COPDK01HL157613 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAFERALI, AABIDA · 2021 to 2025
$944k
NHLBI NIH HHS K01 HL157613NHLBI NIH HHS R01 HL130512NHLBI NIH HHS R01 HL157879
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) of asthma and chronic obstructive pulmonary disease (COPD) with ever-increasing sample sizes have found multiple genetic loci associated with either disease. However, there are few intersecting loci between asthma and COPD. GWAS specifically focused on asthma-COPD overlap (ACO) have been limited by smaller sample sizes and the lack of a consistent definition of ACO that has also hampered clinical and epidemiologic studies. Other genomic techniques, such as gene expression profiling, are feasible with smaller sample sizes. Genetic analyses of objective measures of airway reactivity and allergy/T2 inflammation biomarkers in COPD studies may be another strategy to overcome limitations in ACO definitions.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveGenome-Wide Association StudyHumansAsthmaChronic obstructive pulmonary diseaseGenome-wide association studyRNA-SequencingSingle-nucleotide polymorphismWhole-genome sequencing

Identifiers

PMID35965045
PMCPMC9379112

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.