Evidence map›Paper›PMID 41869329›Full record

ArticleFrontiers in immunology2026

The genetic basis of the immune response to SARS-CoV-2 infection and vaccination in the Italian municipality of Vo'.

Ettore Zapparoli, Enrico Lavezzo, Hélène Tonnelé, Fabio Simeoni, Jing Guo, Klaudia Walter, Anna Sofia Tascini, Sodbo Sharapov, Rebecca Elyanow, Martina Bado and 11 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

21 authors.

Ettore Zapparoli *Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Enrico Lavezzo *Department of Molecular Medicine, University of Padova, Padova, Italy.
Hélène Tonnelé *Department of Neurosciences "Rita Levi Montalcini", University of Turin, Turin, Italy.
Fabio SimeoniCenter for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Jing GuoWellcome Sanger Institute, Cambridge, United Kingdom.
Klaudia WalterWellcome Sanger Institute, Cambridge, United Kingdom.
Anna Sofia TasciniUniversità Vita-Salute San Raffaele, Milan, Italy.
Sodbo SharapovHuman Technopole, Milan, Italy.
Rebecca ElyanowAdaptive Biotechnologies, Seattle, WA, United States.
Martina BadoDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Giorgia MazzottiDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Dmitry PenkovCenter for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Marco J MorelliCenter for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Dejan LazarevicCenter for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Nicola PirastuHuman Technopole, Milan, Italy.
Nicole SoranzoWellcome Sanger Institute, Cambridge, United Kingdom.
Ilan R KirschAdaptive Biotechnologies, Seattle, WA, United States.
Andrea CrisantiDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Stefano ToppoDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Paolo ProveroCenter for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giovanni TononCenter for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: It is becoming increasingly evident that SARS-CoV-2 infection is here to stay. Therefore, understanding whether genetic variants may impact the response to the virus or vaccination is crucial. Studies on the genetic determinants of immune responses to SARS-CoV-2 have been limited by the scarcity of genetically homogenous populations and longitudinal designs that assess responses to both infection and vaccination in relation to individual genetic variation. Methods: Here we performed genotyping and whole-genome sequencing in a well-annotated and intensively followed population from the municipality of Vo', which has previously provided critical insights into SARS-CoV-2 transmission, infection dynamics and COVID-19 clinical manifestations. Results: We identified 99 variants within the major histocompatibility complex (MHC) associated with altered T cell response dynamics following infection. These variants clustered into two semi-independent linkage disequilibrium (LD) blocks, respectively tagged by the HLA-A*01:01 allele and by SNP rs1611581. Additionally, when examining the response to vaccination, we identified 617 MHC genetic variants clustering into 27 semi-independent LD blocks that correlated with either increased or decreased TCR responses. We constructed a polygenic risk score (PRS) that comprehensively captures this genetic variation. Finally, structural modelling of selected variants affecting HLA proteins identified specific amino acid residuals most likely to influence interactions with SARS-CoV-2 epitopes, including arginine at position 114, isoleucine at position 97, and alanine at position 152 of the HLA-A molecule. Conclusion: Together, these findings provide robust evidence that genetic profiles modulate the immune response to SARS-CoV-2 in a longitudinal setting, offering insights that may inform further public health interventions.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2AdultAgedFemaleHumansItalyLinkage DisequilibriumMajor Histocompatibility ComplexMaleMiddle AgedPolymorphism, Single NucleotideVaccinationWhole Genome SequencingCOVID-19 VaccinesCOVID-19HLAMHCSARS-CoV-2T cells

Identifiers

PMID41869329
PMCPMC13002426

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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.