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Genome-wide association studies are coming for human infectious diseases

A genetic contribution to infectious disease in human populations has long been suspected and is now supported by more than 50 years of epidemiological evidence showing, for example, infection rates to be much higher than disease rates. In successful family studies of high-penetrance effects, single...

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Detalles Bibliográficos
Autores principales: Davila, Sonia, Hibberd, Martin L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2664952/
https://www.ncbi.nlm.nih.gov/pubmed/19341490
http://dx.doi.org/10.1186/gm19
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author Davila, Sonia
Hibberd, Martin L
author_facet Davila, Sonia
Hibberd, Martin L
author_sort Davila, Sonia
collection PubMed
description A genetic contribution to infectious disease in human populations has long been suspected and is now supported by more than 50 years of epidemiological evidence showing, for example, infection rates to be much higher than disease rates. In successful family studies of high-penetrance effects, single gene mutations have been identified that reveal a molecular mechanism leading to increased risk of a specific infectious disease. However, in population-based studies, genetic variants conferring host susceptibility to various infectious diseases have been difficult to uncover. Although mutations such as that in the CCR5 gene, which confers protection against HIV infection, have been reliably discovered, polymorphisms affecting larger proportions of a population have been hard to prove definitively. The recent arrival of the genome-wide association study format, currently being applied to Kawasaki disease, tuberculosis, malaria, HIV, dengue and others, gives us hope that these challenges can finally be met, with implications for population-based treatment and prognosis strategies.
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spelling pubmed-26649522009-04-04 Genome-wide association studies are coming for human infectious diseases Davila, Sonia Hibberd, Martin L Genome Med Minireview A genetic contribution to infectious disease in human populations has long been suspected and is now supported by more than 50 years of epidemiological evidence showing, for example, infection rates to be much higher than disease rates. In successful family studies of high-penetrance effects, single gene mutations have been identified that reveal a molecular mechanism leading to increased risk of a specific infectious disease. However, in population-based studies, genetic variants conferring host susceptibility to various infectious diseases have been difficult to uncover. Although mutations such as that in the CCR5 gene, which confers protection against HIV infection, have been reliably discovered, polymorphisms affecting larger proportions of a population have been hard to prove definitively. The recent arrival of the genome-wide association study format, currently being applied to Kawasaki disease, tuberculosis, malaria, HIV, dengue and others, gives us hope that these challenges can finally be met, with implications for population-based treatment and prognosis strategies. BioMed Central 2009-02-10 /pmc/articles/PMC2664952/ /pubmed/19341490 http://dx.doi.org/10.1186/gm19 Text en Copyright ©2009 BioMed Central Ltd
spellingShingle Minireview
Davila, Sonia
Hibberd, Martin L
Genome-wide association studies are coming for human infectious diseases
title Genome-wide association studies are coming for human infectious diseases
title_full Genome-wide association studies are coming for human infectious diseases
title_fullStr Genome-wide association studies are coming for human infectious diseases
title_full_unstemmed Genome-wide association studies are coming for human infectious diseases
title_short Genome-wide association studies are coming for human infectious diseases
title_sort genome-wide association studies are coming for human infectious diseases
topic Minireview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2664952/
https://www.ncbi.nlm.nih.gov/pubmed/19341490
http://dx.doi.org/10.1186/gm19
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