ArXiv. 2023 Jul 24:arXiv:2307.13708v1.
Our genomes influence nearly every aspect of human biology from molecular and cellular functions to phenotypes in health and disease. Human genetics studies have now associated hundreds of thousands of differences in our DNA sequence ("genomic variation") with disease risk and other phenotypes, many of which could reveal novel mechanisms of human biology and uncover the basis of genetic predispositions to diseases, thereby guiding the development of new diagnostics and therapeutics. Yet, understanding how genomic variation alters genome function to influence phenotype has proven challenging. To unlock these insights, we need a systematic and comprehensive catalog of genome function and the molecular and cellular effects of genomic variants. Toward this goal, the Impact of Genomic Variation on Function (IGVF) Consortium will combine approaches in single-cell mapping, genomic perturbations, and predictive modeling to investigate the relationships among genomic variation, genome function, and phenotypes. Through systematic comparisons and benchmarking of experimental and computational methods, we aim to create maps across hundreds of cell types and states describing how coding variants alter protein activity, how noncoding variants change the regulation of gene expression, and how both coding and noncoding variants may connect through gene regulatory and protein interaction networks. These experimental data, computational predictions, and accompanying standards and pipelines will be integrated into an open resource that will catalyze community efforts to explore genome function and the impact of genetic variation on human biology and disease across populations.
我们的基因组几乎影响着人类生物学的方方面面,从分子和细胞功能到健康与疾病中的表型。人类遗传学研究现已将我们DNA序列中的数十万种差异(“基因组变异”)与疾病风险及其他表型联系起来,其中许多差异可能揭示人类生物学的新机制,并揭示疾病遗传易感性的基础,从而指导新诊断方法和治疗方法的开发。然而,事实证明,理解基因组变异如何改变基因组功能以影响表型具有挑战性。为了获得这些见解,我们需要一个关于基因组功能以及基因组变异的分子和细胞效应的系统而全面的目录。为了实现这一目标,基因组变异对功能的影响(IGVF)联盟将结合单细胞图谱绘制、基因组扰动和预测建模等方法,来研究基因组变异、基因组功能和表型之间的关系。通过对实验和计算方法进行系统比较和基准测试,我们旨在创建跨越数百种细胞类型和状态的图谱,描述编码变异如何改变蛋白质活性、非编码变异如何改变基因表达调控,以及编码和非编码变异如何通过基因调控和蛋白质相互作用网络相互联系。这些实验数据、计算预测以及相关标准和流程将被整合到一个开放资源中,这将推动科学界探索基因组功能以及遗传变异对不同人群的人类生物学和疾病的影响。