Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
Bioinformatics and Scientific Programming Core, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20814, USA.
Am J Hum Genet. 2023 Jan 5;110(1):3-12. doi: 10.1016/j.ajhg.2022.12.004.
Although genomic research has predominantly relied on phenotypic ascertainment of individuals affected with heritable disease, the falling costs of sequencing allow consideration of genomic ascertainment and reverse phenotyping (the ascertainment of individuals with specific genomic variants and subsequent evaluation of physical characteristics). In this research modality, the scientific question is inverted: investigators gather individuals with a genomic variant and test the hypothesis that there is an associated phenotype via targeted phenotypic evaluations. Genomic ascertainment research is thus a model of predictive genomic medicine and genomic screening. Here, we provide our experience implementing this research method. We describe the infrastructure we developed to perform reverse phenotyping studies, including aggregating a super-cohort of sequenced individuals who consented to recontact for genomic ascertainment research. We assessed 13 studies completed at the National Institutes of Health (NIH) that piloted our reverse phenotyping approach. The studies can be broadly categorized as (1) facilitating novel genotype-disease associations, (2) expanding the phenotypic spectra, or (3) demonstrating ex vivo functional mechanisms of disease. We highlight three examples of reverse phenotyping studies in detail and describe how using a targeted reverse phenotyping approach (as opposed to phenotypic ascertainment or clinical informatics approaches) was crucial to the conclusions reached. Finally, we propose a framework and address challenges to building collaborative genomic ascertainment research programs at other institutions. Our goal is for more researchers to take advantage of this approach, which will expand our understanding of the predictive capability of genomic medicine and increase the opportunity to mitigate genomic disease.
虽然基因组研究主要依赖于对受遗传性疾病影响的个体进行表型确定,但测序成本的降低使得人们可以考虑进行基因组确定和反向表型研究(确定具有特定基因组变异的个体,然后评估其身体特征)。在这种研究模式中,科学问题发生了反转:研究人员收集具有特定基因组变异的个体,并通过有针对性的表型评估来检验是否存在相关表型的假设。因此,基因组确定研究是一种预测性基因组医学和基因组筛查的模式。在这里,我们提供了实施这种研究方法的经验。我们描述了为执行反向表型研究而开发的基础设施,包括汇集同意重新联系以进行基因组确定研究的已测序个体的超级队列。我们评估了在国立卫生研究院(NIH)完成的 13 项试点反向表型方法的研究。这些研究大致可分为以下三类:(1)促进新的基因型-疾病关联;(2)扩展表型谱;或(3)证明疾病的体外功能机制。我们详细介绍了三个反向表型研究的示例,并描述了如何使用有针对性的反向表型研究方法(而不是表型确定或临床信息学方法)对于得出的结论至关重要。最后,我们提出了一个框架,并探讨了在其他机构建立协作性基因组确定研究计划所面临的挑战。我们的目标是让更多的研究人员利用这种方法,从而扩大我们对基因组医学预测能力的理解,并增加减轻基因组疾病的机会。