Evidence map›Paper›PMID 41085581›Full record

ArticleMolecular genetics and genomics : MGG2025

The crucial role of immune factors in susceptibility to SARS-CoV-2 infection and severity of COVID-19.

Xing-Hao Yu, Rong-Rong Cao, Yi-Qun Yang, Han-Wen Cao, Fei-Yan Deng, Shu-Feng Lei

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular genetics and genomics : MGG, 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

6 authors.

Xing-Hao Yu *Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, P. R. China.
Rong-Rong Cao *Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, P. R. China.
Yi-Qun YangCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, P. R. China.
Han-Wen CaoCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, P. R. China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, P. R. China.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, 215123, Jiangsu, P. R. China. leisf@suda.edu.cn.ORCID http://orcid.org/0000-0002-5525-0336

Funding

National Natural Science Foundation of China 82373587, 82103922, 82173529, and 82173598
6 · The paper itself

Abstract

Susceptibility to SARS-CoV-2 infection and severity of COVID-19 have high heterogeneity, but the underlying factors for such heterogeneity were largely unknown. This study aimed to investigate whether genetically determined immune phenotypes contribute to the variability in COVID-19 outcomes, by integrating large-scale GWAS data to assess genetic correlations, causal associations, and pleiotropic gene functions. Based on the summary statistics from GWAS analyses for immune phenotypes and COVID-19 outcomes, comprehensive analyses were performed to elucidate the associations between immune phenotypes and COVID-19 pairs. The genetic correlations between COVID-19 outcomes and immune phenotypes were commonly observed, and 60 immune phenotypes were significantly correlated with four COVID-19 outcomes (64 pairs) (FDR < 0.05). Treg T cell panel and B cell panel have relatively more significant pairs in number. Pairwise gene-based analyses identified numerous pleiotropic genes for significant pairs identified. The gene set enrichment analysis revealed the involvement of the identified pleiotropic genes in complex immune processes. We observed significant causal effects of six immune phenotypes from 4 trait panels on any one of the two COVID-19 outcomes, and of which CD19 on naïve-mature B cell was the only significant immune phenotype shared by the two COVID-19 outcomes. The findings greatly improved our understanding of the interaction between immune response and COVID-19 outcome, and also contribute to the detection of susceptible individuals and the design of therapeutic strategies from the perspectives of immunology. In conclusion, our study provides genetic evidence that immune phenotypes, particularly B cell and Treg traits, play a causal role in susceptibility to SARS-CoV-2 infection and progression to severe COVID-19.

Indexed as

COVID-19Genetic Predisposition to DiseaseSARS-CoV-2B-LymphocytesGenetic PleiotropyGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideSeverity of Illness IndexT-Lymphocytes, RegulatoryCOVID-19Genetic relationshipsImmune phenotypesMendelian randomization

Identifiers

What OpenQuestion 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 OpenQuestion graph.