School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Precision Medicine Unit, University Hospital and University of Lausanne, Lausanne, Switzerland.
Hum Genet. 2020 Jun;139(6-7):777-781. doi: 10.1007/s00439-019-02089-3. Epub 2019 Nov 15.
Over the last decade, genome-wide association studies led to major advances in identifying human genetic variants associated with infectious disease susceptibility. On the pathogen side, comparable methods are now applied to identify disease-modulating pathogen variants. As host and pathogen variants jointly determine disease outcomes, the most recent development has been to explore simultaneously host and pathogen genomes, through so-called genome-to-genome studies. In this review, we provide some background on the development of genome-to-genome analysis and we detail the first wave of studies in this emerging field, which focused on patients chronically infected with HIV and hepatitis C virus. We also discuss the need for novel statistical methods to better tackle the issues of population stratification and multiple testing. Finally, we speculate on future research areas where genome-to-genome analysis may prove to be particularly effective.
在过去的十年中,全基因组关联研究在鉴定与传染病易感性相关的人类遗传变异方面取得了重大进展。在病原体方面,现在也应用类似的方法来鉴定改变疾病的病原体变异。由于宿主和病原体变异共同决定疾病结局,最近的发展是通过所谓的全基因组研究同时探索宿主和病原体基因组。在这篇综述中,我们提供了全基因组分析发展的一些背景,并详细介绍了这一新兴领域的第一批研究,这些研究集中在慢性感染 HIV 和丙型肝炎病毒的患者身上。我们还讨论了需要新的统计方法来更好地解决群体分层和多次检验的问题。最后,我们推测了基因组研究可能特别有效的未来研究领域。