Evidence map›Paper›PMID 34780848›Full record

ArticleThe Journal of allergy and clinical immunology2022

Discovering metabolite quantitative trait loci in asthma using an isolated population.

Randi K Johnson, Tonya Brunetti, Kevin Quinn, Katrina Doenges, Monica Campbell, Christopher Arehart, Margaret A Taub, Rasika A Mathias, Nichole Reisdorph, Kathleen C Barnes and 1 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of allergy and clinical immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  11. Recent progress in the genetic and epigenetic underpinnings of atopy.The Journal of allergy and clinical immunology · 2023
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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

11 authors at 2 institutions in 1 country.

Randi K JohnsonDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo. Electronic address: randi.johnson@cuanschutz.edu.
Tonya BrunettiDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Kevin QuinnDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Katrina DoengesDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Monica CampbellDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Christopher ArehartDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Margaret A TaubDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md.
Rasika A MathiasDivision of Allergy & Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Md.
Nichole ReisdorphDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Kathleen C BarnesDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Michelle DayaDivision of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
University of Colorado Anschutz Medical Campus · USJohns Hopkins University · US

Funding

Examining the effects of genes and metabolism on inflammation in asthma by leveraging an isolated founder population.R21AI138043 · NIAID · UNIVERSITY OF COLORADO DENVER · PI DAYA, MICHELLE · 2018 to 2019
$428k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIAID NIH HHS R21 AI138043
6 · The paper itself

Abstract

backgroundIntegration of metabolomics with genetics may advance understanding of disease pathogenesis but has been underused in asthma genetic studies.

objectiveWe sought to discover new genetic effects in asthma and to characterize the molecular consequences of asthma genetic risk through integration with the metabolome in a homogeneous population.

methodsFrom fasting serum samples collected on 348 Tangier Island residents, we quantified 2612 compounds using untargeted metabolomics. Genotyping was performed using Illumina's MEGA array imputed to the TOPMed reference panel. To prioritize metabolites for genome-wide association analysis, we performed a metabolome-wide association study with asthma, selecting asthma-associated metabolites with heritability q value less than 0.01 for genome-wide association analysis. We also tested the association between all metabolites and 8451 candidate asthma single nucleotide polymorphisms previously associated with asthma in the UK Biobank. We followed up significant associations by characterizing shared genetic signal for metabolites and asthma using colocalization analysis. For detailed Methods, please see this article's Online Repository at www.jacionline.org.

resultsA total of 60 metabolites were associated with asthma (P < .01), including 40 heritable metabolites tested in genome-wide association analysis. We observed a strong association peak for the endocannabinoid linoleoyl ethanolamide on chromosome 6 in VNN1 (P < 2.7 × 10

conclusionsWe identified novel metabolite quantitative trait loci with asthma associations. Identification and characterization of these genetically driven metabolites may provide insight into the functional consequences of genetic risk factors for asthma.

Indexed as

AsthmaQuantitative Trait LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotideasthmagenome-wide associationheritabilityMetabolomicsquantitative trait

Identifiers

PMID34780848
PMCPMC9081120
OpenAlexW3214606252

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.