Four misconceptions about investigative genetic genealogy.

Four misconceptions about investigative genetic genealogy.
复制标题

DOI:
10.1093/jlb/lsab001
复制
发表时间:
2021-01
影响因子:
3.4
通讯作者:
Fullerton SM
Fullerton SM
中科院分区:
医学3区
文献类型:
--
作者:
Guerrini CJ;Wickenheiser RA;Bettinger B;McGuire AL;Fullerton SM

文献摘要

参考文献

被引文献

相似文献

调查性遗传谱系学是一种新的识别犯罪嫌疑人的技术,引发了争议。该技术涉及将犯罪现场的DNA图谱上传到一个或多个遗传谱系数据库,目的是确定刑事犯罪分子的遗传亲属,并最终在家谱中确定犯罪分子的位置。IGG于2018年被用于识别金州杀手,目前已被用于美国数百起案件。然而,随着越来越多的执法机构进行IGG,该技术的隐私影响受到了审查。虽然这些问题值得认真关注,但我们感到关切的是,对这些问题的讨论有时是基于对如何在刑事调查中使用IGG以及IGG如何偏离传统调查技术的误解。在这里,我们的目标是澄清和尖锐的公众辩论,解决四个误解IGG。我们开始与IGG的详细描述,因为它是目前的做法:它是什么和-同样重要的是-它不是什么。然后,我们研究了IGG被误解或不广为人知的方面,这些方面可能会混淆对未来进行建设性讨论的努力。最后,我们提出了旨在支持这些讨论取得成效的建议。
Investigative genetic genealogy (IGG) is a new technique for identifying criminal suspects that has sparked controversy. The technique involves uploading a crime scene DNA profile to one or more genetic genealogy databases with the intention of identifying a criminal offender’s genetic relatives and, eventually, locating the offender within the family tree. IGG was used to identify the Golden State Killer in 2018 and it is now being used in connection with hundreds of cases in the USA. Yet, as more law enforcement agencies conduct IGG, the privacy implications of the technique have come under scrutiny. While these issues deserve careful attention, we are concerned that their discussion is, at times, based on misunderstandings related to how IGG is used in criminal investigations and how IGG departs from traditional investigative techniques. Here, we aim to clarify and sharpen the public debate by addressing four misconceptions about IGG. We begin with a detailed description of IGG as it is currently practiced: what it is and—just as important—what it is not. We then examine misunderstood or not widely known aspects of IGG that are potentially confusing efforts to have constructive discussions about its future. We conclude with recommendations intended to support the productivity of those discussions.
DOI: 10.1093/jlb/lsz007
发表时间: 2019-10-01
影响因子: 3.4
作者:
Clayton, Ellen Wright;Evans, Barbara J.;Rothstein, Mark A.
通讯作者: Rothstein, Mark A.
DOI: 10.7554/elife.51810
发表时间: 2020-01-07
期刊: ELIFE
影响因子: 7.7
作者:
Edge, Michael D.;Coop, Graham
通讯作者: Coop, Graham
DOI: 10.1126/science.aau4832
发表时间: 2018-11-09
期刊: SCIENCE
影响因子: 56.9
作者:
Erlich, Yaniv;Shor, Tal;Carmi, Shai
通讯作者: Carmi, Shai