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VISAGE外貌与血统增强工具的血统信息标记物的开发与评估。

Development and evaluations of the ancestry informative markers of the VISAGE Enhanced Tool for Appearance and Ancestry.

作者信息

Ruiz-Ramírez J, de la Puente M, Xavier C, Ambroa-Conde A, Álvarez-Dios J, Freire-Aradas A, Mosquera-Miguel A, Ralf A, Amory C, Katsara M A, Khellaf T, Nothnagel M, Cheung E Y Y, Gross T E, Schneider P M, Uacyisrael J, Oliveira S, Klautau-Guimarães M D N, Carvalho-Gontijo C, Pośpiech E, Branicki W, Parson W, Kayser M, Carracedo A, Lareu M V, Phillips C

机构信息

Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.

Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain.

出版信息

Forensic Sci Int Genet. 2023 May;64:102853. doi: 10.1016/j.fsigen.2023.102853. Epub 2023 Mar 5.

Abstract

The VISAGE Enhanced Tool for Appearance and Ancestry (ET) has been designed to combine markers for the prediction of bio-geographical ancestry plus a range of externally visible characteristics into a single massively parallel sequencing (MPS) assay. We describe the development of the ancestry panel markers used in ET, and the enhanced analyses they provide compared to previous MPS-based forensic ancestry assays. As well as established autosomal single nucleotide polymorphisms (SNPs) that differentiate sub-Saharan African, European, East Asian, South Asian, Native American, and Oceanian populations, ET includes autosomal SNPs able to efficiently differentiate populations from Middle East regions. The ability of the ET autosomal ancestry SNPs to distinguish Middle East populations from other continentally defined population groups is such that characteristic patterns for this region can be discerned in genetic cluster analysis using STRUCTURE. Joint cluster membership estimates showing individual co-ancestry that signals North African or East African origins were detected, or cluster patterns were seen that indicate origins from central and Eastern regions of the Middle East. In addition to an augmented panel of autosomal SNPs, ET includes panels of 85 Y-SNPs, 16 X-SNPs and 21 autosomal Microhaplotypes. The Y- and X-SNPs provide a distinct method for obtaining extra detail about co-ancestry patterns identified in males with admixed backgrounds. This study used the 1000 Genomes admixed African and admixed American sample sets to fully explore these enhancements to the analysis of individual co-ancestry. Samples from urban and rural Brazil with contrasting distributions of African, European, and Native American co-ancestry were also studied to gauge the efficiency of combining Y- and X-SNP data for this purpose. The small panel of Microhaplotypes incorporated in ET were selected because they showed the highest levels of haplotype diversity amongst the seven population groups we sought to differentiate. Microhaplotype data was not formally combined with single-site SNP genotypes to analyse ancestry. However, the haplotype sequence reads obtained with ET from these loci creates an effective system for de-convoluting two-contributor mixed DNA. We made simple mixture experiments to demonstrate that when the contributors have different ancestries and the mixture ratios are imbalanced (i.e., not 1:1 mixtures) the ET Microhaplotype panel is an informative system to infer ancestry when this differs between the contributors.

摘要

VISAGE外貌与血统增强工具(ET)旨在将用于预测生物地理血统的标记与一系列外部可见特征结合到一个单一的大规模平行测序(MPS)检测中。我们描述了ET中使用的血统面板标记的开发,以及与以前基于MPS的法医血统检测相比,它们提供的增强分析。除了用于区分撒哈拉以南非洲、欧洲、东亚、南亚、美洲原住民和大洋洲人群的既定常染色体单核苷酸多态性(SNP)外,ET还包括能够有效区分中东地区人群的常染色体SNP。ET常染色体血统SNP区分中东人群与其他大陆定义人群组的能力使得在使用STRUCTURE进行的遗传聚类分析中可以辨别该地区的特征模式。检测到显示个体共同血统的联合聚类成员估计值,表明有北非或东非血统,或者看到表明来自中东中部和东部地区血统的聚类模式。除了增加的常染色体SNP面板外,ET还包括85个Y-SNP、16个X-SNP和21个常染色体微单倍型的面板。Y-SNP和X-SNP提供了一种独特的方法,用于获取有关具有混合背景的男性中确定的共同血统模式的更多细节。本研究使用1000基因组混合非洲和混合美洲样本集,充分探索这些对个体共同血统分析的增强。还研究了来自巴西城乡的样本,这些样本具有非洲、欧洲和美洲原住民共同血统的对比分布,以评估为此目的结合Y-SNP和X-SNP数据的效率。ET中纳入的一小部分微单倍型之所以被选中,是因为它们在我们试图区分的七个种群组中显示出最高水平的单倍型多样性。微单倍型数据未与单一位点SNP基因型正式结合以分析血统。然而,ET从这些位点获得的单倍型序列读数创建了一个有效的系统,用于解卷积两个贡献者的混合DNA。我们进行了简单的混合实验,以证明当贡献者具有不同血统且混合比例不平衡(即不是1:1混合)时,ET微单倍型面板是一个信息丰富的系统,可用于推断贡献者之间血统不同时的血统。

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