Guerrini Christi J, Robinson Jill O, Elsaid Mohamed I, Brooks Whitney Bash, Levchenko Ariel, Fullerton Stephanie M, Huston Sara, Crossnohere Norah L, Bridges John F P, Dahlquist Jacklyn M, Kalokairinou Louiza, Madden Diana, Moore CeCe, McGuire Amy L
Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, USA.
Forensic Sci Int. 2025 Feb;367:112372. doi: 10.1016/j.forsciint.2025.112372. Epub 2025 Jan 17.
In 2018, after law enforcement announced it had used a technique called forensic investigative genetic genealogy (FIGG) to identify the Golden State Killer, we conducted a U.S. general population survey and found most respondents supported using FIGG to solve violent crimes. Since then, FIGG has helped close hundreds of criminal cases, but it also has weathered controversies. On FIGG's fifth anniversary, we conducted an expanded, follow-up survey with U.S.-based participants to determine if public opinion had changed and found continued support for FIGG across most applications. The same proportion (91 %) of respondents in the 2018 and 2023 surveys endorsed using FIGG in genetic genealogy databases to help identify perpetrators of violent crimes. Similar to the 2018 survey, only 57 % of respondents supported FIGG to help identify perpetrators of non-violent crimes. The results indicate that U.S. policies that have been adopted for FIGG are generally consistent with the opinions of our survey respondents over time. Nonetheless, there are opportunities to strengthen FIGG governance with the goal of maintaining public trust in the technique.
2018年,执法部门宣布使用一种名为法医调查遗传谱系(FIGG)的技术来识别金州杀手后,我们开展了一项美国普通人群调查,发现大多数受访者支持使用FIGG来解决暴力犯罪问题。从那时起,FIGG帮助破获了数百起刑事案件,但它也经历了一些争议。在FIGG诞生五周年之际,我们对美国参与者进行了一次扩大的跟踪调查,以确定公众舆论是否发生了变化,结果发现大多数应用场景下人们对FIGG仍持支持态度。2018年和2023年的调查中,相同比例(91%)的受访者支持在遗传谱系数据库中使用FIGG来帮助识别暴力犯罪的作案者。与2018年的调查类似,只有57%的受访者支持使用FIGG来帮助识别非暴力犯罪的作案者。结果表明,随着时间的推移,美国针对FIGG所采取的政策总体上与我们调查受访者的意见一致。尽管如此,仍有机会加强FIGG的治理,以维持公众对该技术的信任。