ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2021
Personalized health and the coronavirus vaccines-Do individual genetics matter?
Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Post-Vaccination COVID-19 Side Effects and ABO Blood Type Correlation Among Healthcare Workers in Saudi Arabia: A Cross-Sectional Analysis.International journal of general medicine · 2025Article
- mRNA vaccine platforms: linking infectious disease prevention and cancer immunotherapy.Frontiers in bioengineering and biotechnology · 2025Review
- Anti-SARS-CoV-2 IgM Antibody Levels Measured by an In-House ELISA in a Convalescent Latin Population Persist over Time and Exhibit Neutralizing Capacity to Several Variants of Concern.Diagnostics (Basel, Switzerland) · 2024Article
- A Vulnerability Index to Assess the Risk of SARS-CoV-2-Related Hospitalization/Death: Urgent Need for an Update after Diffusion of Anti-COVID Vaccines.Infectious disease reports · 2024Article
- Article
- An overview of the vaccine platforms to combat COVID-19 with a focus on the subunit vaccines.Progress in biophysics and molecular biology · 2023Review
- Predictors for reactogenicity and humoral immunity to SARS-CoV-2 following infection and mRNA vaccination: A regularized, mixed-effects modelling approach.Frontiers in immunology · 2023Article
- Will Host Genetics Affect the Response to SARS-CoV-2 Vaccines? Historical Precedents.Frontiers in medicine · 2022Review
- Article
- Personalized health and the coronavirus vaccines-Do individual genetics matter?BioEssays : news and reviews in molecular, cellular and developmental biology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Vaccines represent preventative interventions amenable to immunogenetic prediction of how human variability will influence their safety and efficacy. The genetic polymorphism among individuals within any population can render possible that the immunity elicited by a vaccine is variable in length and strength. The same immune challenge (virus and/or vaccine) could provoke partial, complete or even failed protection for some individuals treated under the same conditions. We review genetic variants and mechanistic relationships among chemokines, chemokine receptors, interleukins, interferons, interferon receptors, toll-like receptors, histocompatibility antigens, various immunoglobulins and major histocompatibility complex antigens. These are the targets for variation among macrophages, dendritic cells, natural killer cells, T- and B-lymphocytes, and complement. The technology platforms (mRNA, viral vectors, proteins) utilized to produce vaccines against SARS-CoV-2 infections may each trigger genetically distinct immune reactogenic profiles. With DNA biobanking and immunoprofiling of recipients, global COVID-19 vaccinations could launch a new era of personalized healthcare.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.