Holm Ingrid A, Yu Timothy W, Joffe Steven
1 Division of Genetics and Genomics, The Manton Center for Orphan Diseases Research , Boston Children's Hospital, Boston, Massachusetts.
2 Department of Pediatrics, Harvard Medical School , Boston, Massachusetts.
Genet Test Mol Biomarkers. 2017 Mar;21(3):178-183. doi: 10.1089/gtmb.2016.0413. Epub 2017 Feb 16.
A discussion of return of genetic research results requires a common understanding of how final results are generated and what the scope of potential results may be. To this end, we provide a brief overview of the steps by which human genomic data, whether in the clinical or research setting, are generated and interpreted. We cover (1) DNA targeting methods, (2) sequencing, (3) mapping, (4) variant calling, (5) annotation, and (6) interpretation. As powerful as this technology is, we point out technical, scientific, and clinical limitations that inject uncertainty into interpretations based on genotypic data alone. Given these considerations, we then discuss ethical issues that arise as decisions are made regarding how human genomic data are generated and interpreted in the research setting, and we propose an ethical framework by which researchers can assert policies at the points of control that maximize rewards, while minimizing risks.
对基因研究结果的反馈进行讨论,需要对最终结果是如何产生的以及潜在结果的范围可能是什么达成共识。为此,我们简要概述了在临床或研究环境中生成和解释人类基因组数据的步骤。我们涵盖了(1)DNA靶向方法、(2)测序、(3)定位、(4)变异检测、(5)注释和(6)解释。尽管这项技术很强大,但我们指出了一些技术、科学和临床方面的局限性,这些局限性使得仅基于基因型数据的解释存在不确定性。考虑到这些因素,我们接着讨论在研究环境中就如何生成和解释人类基因组数据做出决策时出现的伦理问题,并提出一个伦理框架,研究人员可以据此在控制环节制定政策,以实现收益最大化,同时将风险降至最低。