Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Am J Epidemiol. 2019 Dec 31;188(12):2069-2077. doi: 10.1093/aje/kwz193.
The field of genetic epidemiology is relatively young and brings together genetics, epidemiology, and biostatistics to identify and implement the best study designs and statistical analyses for identifying genes controlling risk for complex and heterogeneous diseases (i.e., those where genes and environmental risk factors both contribute to etiology). The field has moved quickly over the past 40 years partly because the technology of genotyping and sequencing has forced it to adapt while adhering to the fundamental principles of genetics. In the last two decades, the available tools for genetic epidemiology have expanded from a genetic focus (considering 1 gene at a time) to a genomic focus (considering the entire genome), and now they must further expand to integrate information from other "-omics" (e.g., epigenomics, transcriptomics as measured by RNA expression) at both the individual and the population levels. Additionally, we can now also evaluate gene and environment interactions across populations to better understand exposure and the heterogeneity in disease risk. The future challenges facing genetic epidemiology are considerable both in scale and techniques, but the importance of the field will not diminish because by design it ties scientific goals with public health applications.
遗传流行病学是一个相对年轻的领域,它将遗传学、流行病学和生物统计学结合在一起,以确定和实施最佳的研究设计和统计分析方法,从而识别控制复杂和异质疾病(即基因和环境风险因素都对病因有贡献的疾病)风险的基因。在过去的 40 年里,该领域发展迅速,部分原因是基因分型和测序技术迫使它在坚持遗传学基本原则的同时进行调整。在过去的二十年中,遗传流行病学的可用工具已经从遗传(一次考虑 1 个基因)扩展到基因组(考虑整个基因组),现在它们必须进一步扩展,以整合来自个体和人群水平的其他“组学”(例如,通过 RNA 表达测量的表观基因组学、转录组学)的信息。此外,我们现在还可以评估基因和环境在人群中的相互作用,以更好地了解暴露和疾病风险的异质性。遗传流行病学未来面临的挑战无论是在规模还是技术上都相当大,但该领域的重要性不会减弱,因为它的设计将科学目标与公共卫生应用联系在一起。