使用多基因分数来评估对反社会行为的责任
A V Kazantseva1, D V Yakovleva2, Yu D Davydova1
1Institute of Biochemistry and Genetics - Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa, Russia.
Vavilovskii zhurnal genetiki i selektsii
|October 30, 2025
概括
这项研究调查了俄罗斯人严重犯罪行为的遗传和社会预测因素. 诸如创伤性脑损伤和家族精神疾病病史等社会因素在预测反社会行为方面比多基因分数更有影响力.
科学领域:
- 行为遗传学 行为遗传学
- 法医精神病学 法医精神病学
- 人口遗传学 人口遗传学
背景情况:
- 全基因组关联研究 (GWAS) 在欧洲人群中发现了与反社会行为 (ASB) 相关的遗传变异.
- 多基因分数 (PGS) 汇总了多个遗传变异的影响,以预测复杂的特征.
- 在非欧洲人群中复制ASB遗传发现对于概括性至关重要.
研究的目的:
- 在使用PGS的俄罗斯队列中复制有关严重犯罪行为 (杀人) 的责任调查结果.
- 确定ASB负债的最佳预测模型,包括PGS和社会因素.
- 评估遗传和社会因素对ASB风险的相对贡献.
主要方法:
- 在GWAS中,先前与ASB相关的十个单核酸多态 (SNPs) 的基因定型.
- 实时PCR用于对俄罗斯227名杀人罪犯和254名对照进行基因定型.
- 多重回归模型分析了加权和未加权的PGS以及社会预测因素.
主要成果:
- 在ASB的负债中,PGS解释了小比例的差异 (1.1-1.5%).
- 社会因素,包括创伤性脑损伤,慢性疾病和吸烟,显著预测ASB.
- 结合遗传和社会因素的最佳模型解释了16.2-21.2%的差异.
- 患有精神疾病的家族史放大了这些因素的影响.
结论:
- 社会因素对预测俄罗斯队列中ASB责任的影响比测试的SNP更大.
- 伴随性药物滥用,创伤性脑损伤和家族精神疾病史与更高的ASB概率有关.
- 这些社会因素可能反映出潜在的"危险"遗传特征,需要进一步调查.
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