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Investigating the Role of Gene-Gene Interactions in TB Susceptibility
Tuberculosis (TB) is the second leading cause of mortality from infectious disease worldwide. One of the factors involved in developing disease is the genetics of the host, yet the field of TB susceptibility genetics has not yielded the answers that were expected. A commonly posited explanation for...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412713/ https://www.ncbi.nlm.nih.gov/pubmed/25919455 http://dx.doi.org/10.1371/journal.pone.0123970 |
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author | Daya, Michelle van der Merwe, Lize van Helden, Paul D. Möller, Marlo Hoal, Eileen G. |
author_facet | Daya, Michelle van der Merwe, Lize van Helden, Paul D. Möller, Marlo Hoal, Eileen G. |
author_sort | Daya, Michelle |
collection | PubMed |
description | Tuberculosis (TB) is the second leading cause of mortality from infectious disease worldwide. One of the factors involved in developing disease is the genetics of the host, yet the field of TB susceptibility genetics has not yielded the answers that were expected. A commonly posited explanation for the missing heritability of complex disease is gene-gene interactions, also referred to as epistasis. In this study we investigate the role of gene-gene interactions in genetic susceptibility to TB using a cohort recruited from a high TB incidence community from Cape Town, South Africa. Our discovery data set incorporates genotypes from a large a number of candidate gene studies as well as genome-wide data. After limiting our search space to pairs of putative TB susceptibility genes, as well as pairs of genes that have been curated in online databases as potential interactors, we use statistical modelling to identify pairs of interacting SNPs. We attempt to validate the top models identified in our discovery data set using an independent genome-wide TB case-control data set from The Gambia. A number of models were successfully validated, indicating that interplay between the NRG1 - NRG3, GRIK1 - GRIK3 and IL23R - ATG4C gene pairs may modify susceptibility to TB. Gene pairs involved in the NF-κB pathway were also identified in the discovery data set (SFTPD - NOD2, ISG15 - TLR8 and NLRC5 - IL12RB1), but could not be tested in the Gambian study group due to lack of overlapping data. |
format | Online Article Text |
id | pubmed-4412713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44127132015-05-12 Investigating the Role of Gene-Gene Interactions in TB Susceptibility Daya, Michelle van der Merwe, Lize van Helden, Paul D. Möller, Marlo Hoal, Eileen G. PLoS One Research Article Tuberculosis (TB) is the second leading cause of mortality from infectious disease worldwide. One of the factors involved in developing disease is the genetics of the host, yet the field of TB susceptibility genetics has not yielded the answers that were expected. A commonly posited explanation for the missing heritability of complex disease is gene-gene interactions, also referred to as epistasis. In this study we investigate the role of gene-gene interactions in genetic susceptibility to TB using a cohort recruited from a high TB incidence community from Cape Town, South Africa. Our discovery data set incorporates genotypes from a large a number of candidate gene studies as well as genome-wide data. After limiting our search space to pairs of putative TB susceptibility genes, as well as pairs of genes that have been curated in online databases as potential interactors, we use statistical modelling to identify pairs of interacting SNPs. We attempt to validate the top models identified in our discovery data set using an independent genome-wide TB case-control data set from The Gambia. A number of models were successfully validated, indicating that interplay between the NRG1 - NRG3, GRIK1 - GRIK3 and IL23R - ATG4C gene pairs may modify susceptibility to TB. Gene pairs involved in the NF-κB pathway were also identified in the discovery data set (SFTPD - NOD2, ISG15 - TLR8 and NLRC5 - IL12RB1), but could not be tested in the Gambian study group due to lack of overlapping data. Public Library of Science 2015-04-28 /pmc/articles/PMC4412713/ /pubmed/25919455 http://dx.doi.org/10.1371/journal.pone.0123970 Text en © 2015 Daya et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Daya, Michelle van der Merwe, Lize van Helden, Paul D. Möller, Marlo Hoal, Eileen G. Investigating the Role of Gene-Gene Interactions in TB Susceptibility |
title | Investigating the Role of Gene-Gene Interactions in TB Susceptibility |
title_full | Investigating the Role of Gene-Gene Interactions in TB Susceptibility |
title_fullStr | Investigating the Role of Gene-Gene Interactions in TB Susceptibility |
title_full_unstemmed | Investigating the Role of Gene-Gene Interactions in TB Susceptibility |
title_short | Investigating the Role of Gene-Gene Interactions in TB Susceptibility |
title_sort | investigating the role of gene-gene interactions in tb susceptibility |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4412713/ https://www.ncbi.nlm.nih.gov/pubmed/25919455 http://dx.doi.org/10.1371/journal.pone.0123970 |
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