Visscher Peter M, Gyngell Christopher, Yengo Loic, Savulescu Julian
Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia.
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Nature. 2025 Jan;637(8046):637-645. doi: 10.1038/s41586-024-08300-4. Epub 2025 Jan 8.
Polygenic genome editing in human embryos and germ cells is predicted to become feasible in the next three decades. Several recent books and academic papers have outlined the ethical concerns raised by germline genome editing and the opportunities that it may present. To date, no attempts have been made to predict the consequences of altering specific variants associated with polygenic diseases. In this Analysis, we show that polygenic genome editing could theoretically yield extreme reductions in disease susceptibility. For example, editing a relatively small number of genomic variants could make a substantial difference to an individual's risk of developing coronary artery disease, Alzheimer's disease, major depressive disorder, diabetes and schizophrenia. Similarly, large changes in risk factors, such as low-density lipoprotein cholesterol and blood pressure, could, in theory, be achieved by polygenic editing. Although heritable polygenic editing (HPE) is still speculative, we completed calculations to discuss the underlying ethical issues. Our modelling demonstrates how the putatively positive consequences of gene editing at an individual level may deepen health inequalities. Further, as single or multiple gene variants can increase the risk of some diseases while decreasing that of others, HPE raises ethical challenges related to pleiotropy and genetic diversity. We conclude by arguing for a collectivist perspective on the ethical issues raised by HPE, which accounts for its effects on individuals, their families, communities and society.
预计在未来三十年,对人类胚胎和生殖细胞进行多基因基因组编辑将变得可行。最近的几本著作和学术论文概述了生殖系基因组编辑引发的伦理问题以及它可能带来的机遇。迄今为止,尚未有人尝试预测改变与多基因疾病相关的特定变异的后果。在本分析中,我们表明多基因基因组编辑理论上可极大降低疾病易感性。例如,编辑相对少量的基因组变异可能对个体患冠状动脉疾病、阿尔茨海默病、重度抑郁症、糖尿病和精神分裂症的风险产生重大影响。同样,理论上通过多基因编辑可以实现风险因素如低密度脂蛋白胆固醇和血压的大幅变化。尽管可遗传多基因编辑(HPE)仍具有推测性,但我们进行了计算以讨论潜在的伦理问题。我们的模型展示了基因编辑在个体层面假定的积极后果可能如何加深健康不平等。此外,由于单个或多个基因变异可能增加某些疾病的风险,同时降低其他疾病的风险,HPE引发了与基因多效性和遗传多样性相关的伦理挑战。我们通过主张从集体主义角度看待HPE引发的伦理问题来得出结论,这种观点考虑到了其对个体、其家庭、社区和社会的影响。