Daya Michelle, van der Merwe Lize, van Helden Paul D, Möller Marlo, Hoal Eileen G
SA MRC Centre for TB Research, DST/NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
PLoS One. 2015 Apr 28;10(4):e0123970. doi: 10.1371/journal.pone.0123970. eCollection 2014.
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.
结核病(TB)是全球传染病致死的第二大原因。宿主的遗传学因素是疾病发生的原因之一,然而结核病易感性遗传学领域尚未给出预期的答案。对于复杂疾病遗传力缺失的一个常见解释是基因-基因相互作用,也称为上位性。在本研究中,我们使用从南非开普敦高结核病发病率社区招募的队列,研究基因-基因相互作用在结核病遗传易感性中的作用。我们的发现数据集纳入了大量候选基因研究的基因型以及全基因组数据。在将搜索空间限制在假定的结核病易感基因对以及在线数据库中作为潜在相互作用因子整理的基因对之后,我们使用统计模型来识别相互作用单核苷酸多态性(SNP)对组合。我们试图使用来自冈比亚独立的全基因组结核病病例对照数据集验证在我们的发现数据集中识别出的顶级模型。多个模型成功得到验证,表示NRG1 - NRG3基因对组合、GRIK1 - GRIK3基因对组合和IL23R - ATG4C基因对组合之间的相互作用可能会改变对结核病易感性组合。在发现数据集中还识别出了参与核因子κB(NF-κB)途径的基因对组合(SFTPD - NOD2、ISG15 - TLR8 和 NLRC5 - IL12RB1),但由于缺乏重叠数据无法在冈比亚研究组中进行测试。