Department of Laboratory Medicine, AZ Sint-Jan Brugge-Oostende AV, Ruddershove 10, Bruges, Belgium.
Department of Laboratory Medicine, AZ Sint-Jan Brugge-Oostende AV, Ruddershove 10, Bruges, Belgium.
Clin Chim Acta. 2022 Jul 1;532:123-129. doi: 10.1016/j.cca.2022.05.026. Epub 2022 Jun 3.
BACKGROUND/AIMS: Chimerism monitoring by means of high-throughput sequencing or quantitative PCR of biallelic single nucleotide and insertion/deletion polymorphisms has shown potential for improved patient care when compared to the gold standard capillary electrophoresis assays. When designing chimerism assays the number of markers to screen needs consideration: it determines the informativity rate and accuracy of the assay, but screening too many markers increases the assay's cost and complexity. The minimal number of biallelic markers to screen is currently unstudied.
MATERIALS/METHODS: A simulation framework accounting for marker minor allele frequencies, the number of markers screened, marker allelic constellations and donor-recipient relatedness was constructed. The framework was validated through analysis of 324 clinical samples.
Empirical clinical data confirm the validity of the simulation framework. With guidelines suggesting to monitor at least three informative markers, we demonstrate that, for optimized assays, at least 40 biallelic markers need to be screened to achieve enough informative markers in over 99% of cases. We propose and discuss several assay optimization strategies.
Currently used chimerism assays often screen too little or too many markers, leaving room for optimization. Through support of the simulation framework here introduced and validated, more informative, cost-effective chimerism assays can be designed.
背景/目的:与金标准毛细管电泳检测相比,通过高通量测序或双等位基因突变和插入/缺失多态性的定量 PCR 进行嵌合体监测,显示出了改善患者治疗效果的潜力。在设计嵌合体检测时,需要考虑筛选的标记数量:它决定了检测的信息率和准确性,但筛选过多的标记会增加检测的成本和复杂性。目前尚未研究筛选双等位基因标记的最小数量。
材料/方法:构建了一个考虑标记的次要等位基因频率、筛选的标记数量、标记等位基因组合以及供体-受体亲缘关系的模拟框架。通过对 324 个临床样本的分析验证了该框架的有效性。
经验性临床数据证实了模拟框架的有效性。根据建议至少监测三个有信息的标记的指南,我们证明,对于优化的检测,至少需要筛选 40 个双等位基因标记,才能在超过 99%的情况下获得足够多的有信息的标记。我们提出并讨论了几种检测优化策略。
目前使用的嵌合体检测通常筛选的标记太少或太多,有优化的空间。通过支持这里介绍和验证的模拟框架,可以设计出更具信息量、更具成本效益的嵌合体检测。