Evidence map›Paper›PMID 42728935›Full record

ArticleRoyal Society open science2026

Common genetic mechanisms between obesity and COVID-19 severity: unravelling pleiotropic loci and biological pathways.

Giulia Souza da Costa, Cibele E Bandeira, Nicolas Pereira Ciochetti, Isabella F Temoteo, Bianca Rodrigues Martinello, Thais Martins-Silva, Raissa Nunes Dos Santos, Diego L Rovaris, Marilu Fiegenbaum, Lucia Campos Pellanda and 2 more

Abstract read
In one paragraph

Article in Royal Society open science, 2026. 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

12 authors.

Giulia Souza da CostaGraduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0001-7352-3935
Cibele E BandeiraDepartment of Basic Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.
Nicolas Pereira CiochettiUniversity of São Paulo, Brazil.
Isabella F TemoteoUniversity of São Paulo, Brazil.
Bianca Rodrigues MartinelloBiomedicine School, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.
Thais Martins-SilvaFederal University of Pelotas, Pelotas, RS, Brazil.
Raissa Nunes Dos SantosDepartment of Basic Health Sciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.
Diego L RovarisUniversity of São Paulo, Brazil.
Marilu FiegenbaumGraduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.
Lucia Campos PellandaGraduate Program in Pediatrics, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.
Luciana Tovo-RodriguesGraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Júlia Pasqualini GenroGraduate Program in Biosciences, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 and obesity are complex conditions marked by immune and metabolic dysfunction, with the former still ranking among the leading causes of death from infectious diseases worldwide and the latter reaching pandemic proportions. Clinical evidence consistently shows that obesity increases the risk of severe COVID-19, yet the biological mechanisms underlying this association remain unclear. Given their physiological and clinical overlap, they may share genetic pathways. We investigated genetic variants jointly associated with body mass index (BMI) and COVID-19 using publicly available genome-wide data. A conjunctional false discovery rate (conjFDR) approach identified shared variants between BMI and three COVID-19 phenotypes: infection, hospitalization and very severe respiratory illness. Functional annotation and pathway enrichment analyses were performed to explore the biological context of these variants, followed by a phenome-wide association study (PheWAS) to characterize pleiotropy. Shared variants were enriched in immune, metabolic and hormonal signaling pathways, including metal ion transport and glycosylation. The overlap with BMI was strongest for hospitalized and severe cases, suggesting common mechanisms underlying disease progression rather than infection. These findings suggest a biologically meaningful genetic overlap between obesity and COVID-19 severity, highlighting pleiotropy as a key feature in complex disease interactions and potential shared therapeutic targets.

Indexed as

BMIconjFDRCOVID-19genetic overlapgenetic susceptibilityGWASobesityPheWASpleiotropy

Identifiers

PMID42728935
PMCPMC13483759

What Socratic holds

Textmetadata
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.