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Population-specific F-ST values for forensic STR markers: A worldwide survey

机译:法医STR标记的特定人群F-ST值:全球调查

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The interpretation of matching between DNA profiles of a person of interest and an item of evidence is undertaken using population genetic models to predict the probability of matching by chance. Calculation of matching probabilities is straightforward if allelic probabilities are known, or can be estimated, in the relevant population. It is more often the case, however, that the relevant population has not been sampled and allele frequencies are available only from a broader collection of populations as might be represented in a national or regional database. Variation of allele probabilities among the relevant populations is quantified by the population structure quantity F-ST and this quantity affects matching proportions. Matching within a population can be interpreted only with respect to matching between populations and we show here that F-ST, can be estimated from sample allelic matching proportions within and between populations. We report such estimates from data we extracted from 250 papers in the forensic literature, representing STR profiles at up to 24 loci from nearly 500,000 people in 446 different populations. The results suggest that theta values in current forensic use do not have the buffer of conservatism often thought. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
机译:使用人群遗传模型对感兴趣的人的DNA概况与证据的匹配进行解释,以偶然地预测匹配的可能性。如果等位基因概率已知或可以在相关人群中估计,则匹配概率的计算将很简单。但是,更经常的情况是,没有对相关人群进行采样,而等位基因频率只能从国家或地区数据库中可能代表的更广泛的人群中获得。相关人群之间等位基因概率的变化由人群结构数量F-ST量化,该数量影响匹配比例。只能根据种群之间的匹配来解释种群内的匹配,我们在这里表明可以根据种群内部和种群之间的等位基因匹配比例估算F-ST。我们从法医学文献中的250篇论文中提取的数据报告了这种估计,这些数据代表了来自446个不同人群的近500,000人的多达24个基因座的STR图谱。结果表明,目前的法医使用中的theta值没有通常认为的保守主义缓冲。 (C)2016 Elsevier Ireland Ltd.保留所有权利。

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