Evidence map›Paper›PMID 35886039›Full record

SynthesisGenes2022

Genome-Wide Association Study of Airway Wall Thickening in a Korean Chronic Obstructive Pulmonary Disease Cohort.

Ah Ra Do, Do Yeon Ko, Jeeyoung Kim, So Hyeon Bak, Ki Yeol Lee, Dankyu Yoon, Chol Shin, Soriul Kim, Woo Jin Kim, Sungho Won

Open access · goldAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 5 institutions in 1 country.

Ah Ra DoInterdisciplinary Program of Bioinformatics, Seoul National University, Seoul 08826, Korea.
Do Yeon KoEnvironmental Health Center, Department of Internal Medicine, Kangwon National University, Chuncheon 25948, Korea.
Jeeyoung KimEnvironmental Health Center, Department of Internal Medicine, Kangwon National University, Chuncheon 25948, Korea.ORCID 0000-0002-0132-6630
So Hyeon BakDepartment of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon 24341, Korea.
Ki Yeol LeeDepartment of Radiology, Korea University Ansan Hospital, Ansan 15355, Korea.
Dankyu YoonDepartment of Chronic Disease Convergence Research, Division of Allergy and Respiratory Disease Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Korea.
Chol ShinInstitute for Human Genomic Study, College of Medicine, Korea University, Seoul 08826, Korea.ORCID 0000-0002-2928-8576
Soriul KimInstitute for Human Genomic Study, College of Medicine, Korea University, Seoul 08826, Korea.ORCID 0000-0002-6161-1636
Woo Jin KimEnvironmental Health Center, Department of Internal Medicine, Kangwon National University, Chuncheon 25948, Korea.ORCID 0000-0003-2927-370X
Sungho WonInterdisciplinary Program of Bioinformatics, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-5751-5089
Kangwon National University · KRKorea University · KRSeoul National University · KRKangwon National University Hospital · KRKorea Disease Control and Prevention Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airway wall thickening (AWT) plays an important pathophysiological role in airway diseases such as chronic obstructive pulmonary disease (COPD). There are only a few studies on the genetic components contributing to AWT in the Korean population. This study aimed to identify AWT-related single-nucleotide polymorphisms (SNPs) using a genome-wide association study (GWAS). We performed GWAS for AWT using the CODA and KUCOPD cohorts. Thereafter, a meta-analysis was performed. Airway wall thickness was measured using automatic segmentation software. The AWT at an internal perimeter of 10 mm (AWT-Pi10) was calculated by the square root of the theoretical airway wall area using the full-width-half-maximum method. We identified a significant SNP (rs11648772,

Indexed as

Genome-Wide Association StudyPulmonary Disease, Chronic ObstructiveCohort StudiesHumansRepublic of KoreaTomography, X-Ray Computedairway wall thickeningchronic obstructive pulmonary diseasegenetic variantsgenome-wide association studysingle-nucleotide polymorphism

Identifiers

PMID35886039
PMCPMC9318537
OpenAlexW4285733064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.