Genetics and Vaccinology

Vaccines are the most effective and sustainable means of preventing infectious diseases. Novel diagnostics would help customize the use of vaccines in subpopulations in which they would display enhanced safety and efficacy. This chapter focuses on giving a glimpse of the genetic status effect of vac...

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Detalles Bibliográficos
Autores Principales: Castiblanco, John, Anaya, Juan-Manuel
Formato: Capítulo de libro (Book Chapter)
Lenguaje:Inglés (English)
Publicado: Wiley Blackwell 2014
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23466
https://doi.org/10.1002/9781118663721.ch6
id ir-10336-23466
recordtype dspace
spelling ir-10336-234662022-05-02T12:37:14Z Genetics and Vaccinology Castiblanco, John Anaya, Juan-Manuel Genetic factors Human leukocyte antigen (HLA) Immune response network theory Infectious diseases Single nucleotide polymorphisms (snps) Vaccine immune response Vaccines are the most effective and sustainable means of preventing infectious diseases. Novel diagnostics would help customize the use of vaccines in subpopulations in which they would display enhanced safety and efficacy. This chapter focuses on giving a glimpse of the genetic status effect of vaccine immune response and how this could contribute to the development of novel vaccine candidates that are better directed and predicted relative to the genetic history of an individual and/or population. It provides a summary of genetic factors associated with human leukocyte antigen (HLA) alleles and single nucleotide polymorphisms (SNPs) in multiple classes of genes that provide immune response to vaccines. The immune response network theory, in its simplest form, is based on the premise 'the response to a vaccine is the cumulative result of interactions driven by a host of genes and their interactions, and is theoretically predictable'. © 2015 Wiley-Blackwell. 2014 2020-05-26T00:02:16Z info:eu-repo/semantics/bookPart info:eu-repo/semantics/publishedVersion https://repository.urosario.edu.co/handle/10336/23466 https://doi.org/10.1002/9781118663721.ch6 eng info:eu-repo/semantics/openAccess application/pdf Wiley Blackwell instname:Universidad del Rosario
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Genetic factors
Human leukocyte antigen (HLA)
Immune response network theory
Infectious diseases
Single nucleotide polymorphisms (snps)
Vaccine immune response
spellingShingle Genetic factors
Human leukocyte antigen (HLA)
Immune response network theory
Infectious diseases
Single nucleotide polymorphisms (snps)
Vaccine immune response
Castiblanco, John
Anaya, Juan-Manuel
Genetics and Vaccinology
description Vaccines are the most effective and sustainable means of preventing infectious diseases. Novel diagnostics would help customize the use of vaccines in subpopulations in which they would display enhanced safety and efficacy. This chapter focuses on giving a glimpse of the genetic status effect of vaccine immune response and how this could contribute to the development of novel vaccine candidates that are better directed and predicted relative to the genetic history of an individual and/or population. It provides a summary of genetic factors associated with human leukocyte antigen (HLA) alleles and single nucleotide polymorphisms (SNPs) in multiple classes of genes that provide immune response to vaccines. The immune response network theory, in its simplest form, is based on the premise 'the response to a vaccine is the cumulative result of interactions driven by a host of genes and their interactions, and is theoretically predictable'. © 2015 Wiley-Blackwell.
format Capítulo de libro (Book Chapter)
author Castiblanco, John
Anaya, Juan-Manuel
author_facet Castiblanco, John
Anaya, Juan-Manuel
author_sort Castiblanco, John
title Genetics and Vaccinology
title_short Genetics and Vaccinology
title_full Genetics and Vaccinology
title_fullStr Genetics and Vaccinology
title_full_unstemmed Genetics and Vaccinology
title_sort genetics and vaccinology
publisher Wiley Blackwell
publishDate 2014
url https://repository.urosario.edu.co/handle/10336/23466
https://doi.org/10.1002/9781118663721.ch6
_version_ 1740172884444184576
score 12,131701