Evidence map›Paper›PMID 40650217›Full record

ArticleInternational journal of molecular sciences2025

Genome-Wide Association Study of COVID-19 Breakthrough Infections and Genetic Overlap with Other Diseases: A Study of the UK Biobank.

Yaning Feng, Kenneth Chi-Yin Wong, Wai Kai Tsui, Ruoyu Zhang, Yong Xiang, Hon-Cheong So

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yaning FengSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.ORCID 0009-0008-2920-5102
Kenneth Chi-Yin WongSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-5397-6224
Wai Kai TsuiSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Ruoyu ZhangSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6089-7476
Yong XiangSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-4378-3450
Hon-Cheong SoSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-7102-833X

Funding

National Natural Science Foundation China grant 81971706National Natural Science Foundation China (NSFC) Young Scientist Grant 31900495the Research Project of Zhejiang Chinese Medical University 2023RCZXZK32
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has led to substantial health and financial burdens worldwide, and vaccines provide hope for reducing the burden of this pandemic. However, vaccinated people remain at risk for SARS-CoV-2 infection. Genome-wide association studies (GWASs) may identify potential genetic factors involved in the development of COVID-19 breakthrough infections (BIs); however, very few or no GWASs have been conducted for COVID-19 BI thus far. We conducted a GWAS and detailed bioinformatics analysis on COVID-19 BIs in a European population via the UK Biobank (UKBB). We conducted a series of analyses at different levels, including SNP-based, gene-based, pathway, and transcriptome-wide association analyses, to investigate genetic factors associated with COVID-19 BIs and hospitalized infections. The polygenic risk score (PRS) and Hoeffding's test were performed to reveal the genetic relationships between BIs and other medical conditions. Two independent loci (LD-clumped at r

Indexed as

COVID-19Genome-Wide Association StudyAgedBiological Specimen BanksFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideSARS-CoV-2UK BiobankUnited Kingdombreakthrough infectionCOIVD-19genetic overlapgenome-wide association study

Identifiers

PMID40650217
PMCPMC12249495

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.