Evidence map›Paper›PMID 40591496›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2025

Multiomics analyses of the complex interplay between genetic variants, DNA methylation, and gene expression in COVID-19.

Guanjie Chen, Lisa A DeRoo, Gabriel Goodney, Ayo P Doumatey, Jie Zhou, Adebowale A Adeyemo, Charles N Rotimi, Amadou Gaye

Abstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guanjie ChenCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States.ORCID 0000-0002-5745-5618
Lisa A DeRooNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States.
Gabriel GoodneyNational Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States.
Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States.
Jie ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States.
Adebowale A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States.
Amadou GayeDepartment of Integrative Genomics and Epidemiology, School of Graduate Studies, Meharry Medical College, Nashville, Tennessee, United States.ORCID 0000-0002-1180-2792

Funding

Chan Zuckerberg Initiative (CZI)HHS | NIH | National Human Genome Research Institute (NHGRI)Intramural NIH HHS Z99 HG999999
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which drove the 2019 coronavirus disease (COVID-19) pandemic, continues to engender inquiries into the role of host genetic factors in disease susceptibility. Despite the identification of over 1,000 genes potentially associated with SARS-CoV-2 and COVID-19, the mechanisms connecting genetic variants to phenotype remain elusive. To shed light on these mechanisms, we undertook an integrated analysis, merging data from whole genome association analyses of COVID-19 with methylome and transcriptomic. The study includes African American adults from the GENE-FORECAST study, encompassing 371 individuals with whole genome sequencing (WGS), 203 with DNA methylation, and 321 with RNA sequencing (RNA-Seq) of blood. About 53.3% of participants reported COVID-19. Significant loci associated with COVID-19 were examined within the framework of methylation quantitative trait loci (mQTL), which are located near the gene-of-orig (

Indexed as

COVID-19DNA MethylationGenetic VariationTranscriptomeAdultBlack or African AmericanEpigenesis, GeneticFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedMultiomicsQuantitative Trait LociWhole Genome SequencingAfrican AmericansCOVID-19epigenomicstranscriptomicswhole genome sequencing

Identifiers

PMID40591496
PMCPMC12288550

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.