Population-specific FST values for forensic STR markers: A worldwide survey.
Population-specific FST values for forensic STR markers: A worldwide survey.
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DOI：
10.1016/j.fsigen.2016.03.004
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发表时间：
2016-07
期刊：
影响因子：
--
通讯作者：
Weir BS
中科院分区：
文献类型：
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作者：
Buckleton J;Curran J;Goudet J;Taylor D;Thiery A;Weir BS
利用群体遗传模型来预测偶然匹配的概率，解释有关人员的DNA图谱与证据之间的匹配。如果相关人群的等位基因概率已知或可以估计，那么匹配概率的计算就很简单。然而，更常见的情况是，没有对有关人口进行抽样，等位基因频率只能从可能在国家或区域数据库中表示的更广泛的人口收集中获得。等位基因概率在相关种群间的变化由种群结构数量FST量化，该数量影响匹配比例。群体内的匹配只能用群体间的匹配来解释，我们在这里表明，FST可以从群体内和群体间的样本等位基因匹配比例中估计出来。我们从法医文献中的250篇论文中提取了这些数据，这些数据代表了446个不同人群中近50万人多达24个位点的STR特征。结果表明，theta值在目前的法医应用中并不具有通常认为的保守缓冲。
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 FST and this quanity affects matching propoptions. Matching within a population can be interpreted only with respect to matching between populations and we show here that FST, 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 conservativism often thought.