IDna Genetics Limited, Scottow Enterprise Park, Norwich, Norfolk NR10 5FB, United Kingdom.
IDna Genetics Limited, Scottow Enterprise Park, Norwich, Norfolk NR10 5FB, United Kingdom; School of Chemistry, College of Health and Science, University of Lincoln, Lincoln, Lincolnshire LN6 7TS, United Kingdom.
Forensic Sci Int Genet. 2024 Jul;71:103049. doi: 10.1016/j.fsigen.2024.103049. Epub 2024 Apr 17.
Single Nucleotide Polymorphisms (SNPs), as the most prevalent type of variation in the human genome, play a pivotal role in influencing human traits. They are extensively utilized in diverse fields such as population genetics, forensic science, and genetic medicine. This study focuses on the 'Rita' BeadChip, a custom SNP microarray panel developed using Illumina Infinium HTS technology. Designed for high-throughput genotyping, the panel facilitates the analysis of over 4000 markers efficiently and cost-effectively. After careful clustering performed on a set of 1000 samples, an evaluation of the Rita panel was undertaken, assessing its sensitivity, repeatability, reproducibility, precision, accuracy, and resistance to contamination. The panel's performance was evaluated in various scenarios, including sex estimation and parental relationship assessment, using GenomeStudio data analysis software. Findings show that over 95 % of the custom BeadChip assay markers were successful, with better performance of transitions over other mutations, and a considerably lower success rate for Y chromosome loci. An exceptional call rate exceeding 99 % was demonstrated for control samples, even with DNA input as low as 0.781 ng. Call rates above 80 % were still obtained with DNA quantities under 0.1 ng, indicating high sensitivity and suitability for forensic applications where DNA quantity is often limited. Repeatability, reproducibility, and precision studies revealed consistency of the panel's performance across different batches and operators, with no significant deviations in call rates or genotyping results. Accuracy assessments, involving comparison with multiple available genetic databases, including the 1000 Genome Project and HapMap, denoted over 99 % concordance, establishing the Rita panel's reliability in genotyping. The contamination study revealed insights into background noise and allowed the definition of thresholds for sample quality evaluation. Multiple metrics for differentiating between negative controls and true samples were highlighted, increasing the reliability of the obtained results. The sex estimation tool in GenomeStudio proved highly effective, correctly assigning sex in all samples with autosomal loci call rates above 97 %. The parental relationship assessment of family trios highlighted the utility of GenomeStudio in identifying genotyping errors or potential Mendelian inconsistencies, promoting the application of arrays such as Rita in kinship testing. Overall, this evaluation confirms the Rita microarray as a robust, high-throughput genotyping tool, underscoring its potential in genetic research and forensic applications. With its custom content and adaptable design, it not only meets current genotyping demands but also opens avenues for further research and application expansion in the field of genetic analysis.
单核苷酸多态性(SNPs)作为人类基因组中最普遍的变异类型,在影响人类特征方面起着关键作用。它们广泛应用于群体遗传学、法医学和遗传医学等多个领域。本研究聚焦于 'Rita' 珠芯片,这是一种使用 Illumina Infinium HTS 技术开发的定制 SNP 微阵列面板。该面板专为高通量基因分型设计,可高效、经济地分析超过 4000 个标记物。在对一组 1000 个样本进行仔细聚类后,对 Rita 面板进行了评估,评估了其灵敏度、重复性、再现性、精密度、准确性和抗污染能力。使用 GenomeStudio 数据分析软件,在各种情况下(包括性别估计和亲子关系评估)评估了面板的性能。结果表明,超过 95%的定制 BeadChip 检测标记物成功,转换的性能优于其他突变,Y 染色体基因座的成功率明显较低。即使 DNA 输入低至 0.781ng,对照样本的出色呼叫率也超过 99%。当 DNA 量低于 0.1ng 时,仍可获得超过 80%的呼叫率,表明其灵敏度高,非常适合 DNA 量通常有限的法医应用。重复性、再现性和精密度研究表明,面板的性能在不同批次和操作人员之间具有一致性,呼叫率或基因分型结果没有明显偏差。准确性评估涉及与多个可用遗传数据库(包括 1000 基因组计划和 HapMap)进行比较,结果显示超过 99%的一致性,证明了 Rita 面板在基因分型方面的可靠性。污染研究揭示了背景噪声的情况,并为样本质量评估定义了阈值。突出了区分阴性对照和真实样本的多种指标,提高了获得结果的可靠性。GenomeStudio 中的性别估计工具非常有效,所有具有常染色体基因座呼叫率超过 97%的样本均正确分配了性别。对家庭三人组的亲子关系评估突出了 GenomeStudio 在识别基因分型错误或潜在孟德尔不一致性方面的效用,促进了像 Rita 这样的阵列在亲属关系测试中的应用。总的来说,该评估证实了 Rita 微阵列是一种强大的高通量基因分型工具,突出了其在遗传研究和法医应用中的潜力。凭借其定制内容和可适应的设计,它不仅满足了当前的基因分型需求,而且为遗传分析领域的进一步研究和应用扩展开辟了道路。