Evidence map›Paper›PMID 36574990›Full record

ArticleLife science alliance2023

De novo discovery of traits co-occurring with chronic obstructive pulmonary disease.

Evgeniia Golovina, Tayaza Fadason, Rachel K Jaros, Haribalan Kumar, Joyce John, Kelly Burrowes, Merryn Tawhai, Justin M O'Sullivan

Abstract read
In one paragraph

Article in Life science alliance, 2023. 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. Article
  2. Article
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  5. Article
  6. Frontiers in immunology · 2023
    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

8 authors.

Evgeniia GolovinaLiggins Institute, University of Auckland, Auckland, New Zealand.
Tayaza FadasonLiggins Institute, University of Auckland, Auckland, New Zealand.
Rachel K JarosLiggins Institute, University of Auckland, Auckland, New Zealand.
Haribalan KumarAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Joyce JohnAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Kelly BurrowesAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Merryn TawhaiAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Justin M O'SullivanLiggins Institute, University of Auckland, Auckland, New Zealand justin.osullivan@auckland.ac.nz.ORCID 0000-0003-2927-450X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) is a heterogeneous group of chronic lung conditions. Genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) associated with COPD and the co-occurring conditions, suggesting common biological mechanisms underlying COPD and these co-occurring conditions. To identify them, we have integrated information across different biological levels (i.e., genetic variants, lung-specific 3D genome structure, gene expression and protein-protein interactions) to build lung-specific gene regulatory and protein-protein interaction networks. We have queried these networks using disease-associated SNPs for COPD, unipolar depression and coronary artery disease. COPD-associated SNPs can control genes involved in the regulation of lung or pulmonary function, asthma, brain region volumes, cortical surface area, depressed affect, neuroticism, Parkinson's disease, white matter microstructure and smoking behaviour. We describe the regulatory connections, genes and biochemical pathways that underlay these co-occurring trait-SNP-gene associations. Collectively, our findings provide new avenues for the investigation of the underlying biology and diverse clinical presentations of COPD. In so doing, we identify a collection of genetic variants and genes that may aid COPD patient stratification and treatment.

Indexed as

Genome-Wide Association StudyPulmonary Disease, Chronic ObstructiveGenetic Predisposition to DiseaseHumansLungPhenotype

Identifiers

PMID36574990
PMCPMC9795035

What OpenQuestion holds

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Registered trials

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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.