Suppr超能文献

HIrisPlex 系统可通过 DNA 同时预测头发和眼睛的颜色。

The HIrisPlex system for simultaneous prediction of hair and eye colour from DNA.

机构信息

Department of Forensic Molecular Biology, Erasmus MC University Medical Centre Rotterdam, The Netherlands.

出版信息

Forensic Sci Int Genet. 2013 Jan;7(1):98-115. doi: 10.1016/j.fsigen.2012.07.005. Epub 2012 Aug 20.

Abstract

Recently, the field of predicting phenotypes of externally visible characteristics (EVCs) from DNA genotypes with the final aim of concentrating police investigations to find persons completely unknown to investigating authorities, also referred to as Forensic DNA Phenotyping (FDP), has started to become established in forensic biology. We previously developed and forensically validated the IrisPlex system for accurate prediction of blue and brown eye colour from DNA, and recently showed that all major hair colour categories are predictable from carefully selected DNA markers. Here, we introduce the newly developed HIrisPlex system, which is capable of simultaneously predicting both hair and eye colour from DNA. HIrisPlex consists of a single multiplex assay targeting 24 eye and hair colour predictive DNA variants including all 6 IrisPlex SNPs, as well as two prediction models, a newly developed model for hair colour categories and shade, and the previously developed IrisPlex model for eye colour. The HIrisPlex assay was designed to cope with low amounts of template DNA, as well as degraded DNA, and preliminary sensitivity testing revealed full DNA profiles down to 63pg input DNA. The power of the HIrisPlex system to predict hair colour was assessed in 1551 individuals from three different parts of Europe showing different hair colour frequencies. Using a 20% subset of individuals, while 80% were used for model building, the individual-based prediction accuracies employing a prediction-guided approach were 69.5% for blond, 78.5% for brown, 80% for red and 87.5% for black hair colour on average. Results from HIrisPlex analysis on worldwide DNA samples imply that HIrisPlex hair colour prediction is reliable independent of bio-geographic ancestry (similar to previous IrisPlex findings for eye colour). We furthermore demonstrate that it is possible to infer with a prediction accuracy of >86% if a brown-eyed, black-haired individual is of non-European (excluding regions nearby Europe) versus European (including nearby regions) bio-geographic origin solely from the strength of HIrisPlex eye and hair colour probabilities, which can provide extra intelligence for future forensic applications. The HIrisPlex system introduced here, including a single multiplex test assay, an interactive tool and prediction guide, and recommendations for reporting final outcomes, represents the first tool for simultaneously establishing categorical eye and hair colour of a person from DNA. The practical forensic application of the HIrisPlex system is expected to benefit cases where other avenues of investigation, including STR profiling, provide no leads on who the unknown crime scene sample donor or the unknown missing person might be.

摘要

最近,从 DNA 基因型预测外部可见特征 (EVC) 表型的领域已经开始在法医生物学中确立,最终目的是集中警方调查,以找到完全不被调查当局所知的人,也称为法医 DNA 表型 (FDP)。我们之前开发并在法医上验证了 IrisPlex 系统,用于从 DNA 准确预测蓝眼睛和棕色眼睛的颜色,最近还表明,所有主要的头发颜色类别都可以从精心挑选的 DNA 标记中预测出来。在这里,我们介绍新开发的 HIrisPlex 系统,该系统能够同时从 DNA 预测头发和眼睛的颜色。HIrisPlex 系统由一个单一的多重检测试剂盒组成,该试剂盒针对 24 个眼睛和头发颜色预测 DNA 变体,包括所有 6 个 IrisPlex SNP,以及两个预测模型,一个新开发的头发颜色类别和色调预测模型,以及之前开发的用于眼睛颜色的 IrisPlex 模型。HIrisPlex 检测试剂盒旨在应对模板 DNA 量低和 DNA 降解的情况,初步的灵敏度测试显示,全 DNA 图谱可低至 63pg 输入 DNA。HIrisPlex 系统预测头发颜色的能力在来自欧洲三个不同地区的 1551 个人中进行了评估,这些地区的头发颜色频率不同。使用 20%的个体作为子集,同时 80%用于模型构建,采用预测引导方法的个体预测准确率平均为金发 69.5%、棕色头发 78.5%、红发 80%和黑发 87.5%。来自全球 DNA 样本的 HIrisPlex 分析结果表明,HIrisPlex 头发颜色预测是可靠的,与生物地理起源无关(与之前 IrisPlex 对眼睛颜色的发现相似)。我们还证明,仅从 HIrisPlex 眼睛和头发颜色概率的强度,就可以以>86%的准确率推断出棕色眼睛、黑色头发的个体是否来自非欧洲(不包括欧洲附近地区)与欧洲(包括附近地区)的生物地理起源,这可为未来的法医应用提供额外的情报。这里介绍的 HIrisPlex 系统包括一个单一的多重测试试剂盒、一个交互式工具和预测指南,以及关于报告最终结果的建议,代表了从 DNA 同时建立个人眼睛和头发颜色的第一个工具。HIrisPlex 系统的实际法医应用有望受益于其他调查途径(包括 STR 分析)无法提供未知犯罪现场样本供体或失踪人员身份线索的情况。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验