Prenatal Diagnosis Department, Igenomix Spain Lab S.L.U., Paterna, Spain.
Preimplantation Genetic Testing for Aneuploidies (PGT-A) Department, Igenomix Spain Lab S.L.U., Paterna, Spain.
BJOG. 2024 Jan;131(2):213-221. doi: 10.1111/1471-0528.17629. Epub 2023 Aug 2.
To evaluate cell-free DNA (cfDNA) testing as a non-invasive approach to detecting aneuploidies in clinical miscarriages.
A retrospective cohort study of women with pregnancy loss.
Hospitals and genetic analysis laboratories.
Pregnancy losses in the period 2021-2022.
Results derived from non-invasive cfDNA testing (Veriseq NIPT Solution V2) of maternal blood and invasive analysis of products of conception (POC) (Ion ReproSeq) compared in 120 women who suffered a miscarriage.
Concordance rate results, cfDNA testing performance, non-informative rate (NIR) and fetal fraction (FF).
We found no significant differences in the NIR between invasive (iPOC) and non-invasive (niPOC) analysis of POC (10.0% [12/120] versus 16.7% [20/120]). Of 120 samples, 90 provided an informative result in iPOC and niPOC groups (75%). cfDNA analysis correctly identified 74/87 (85.1%) samples (excluding triploidies). Sensitivity and specificity were 79.4% and 100%, respectively; all discordant cases were female. A binomial logistic model suggested fetal sex as the only variable influencing the concordance rate (P = 0.035). A Y-chromosome-based FF estimate allowed the optimal reclassification of cfDNA of non-informative male fetuses and a more accurate evaluation of cfDNA testing performance. The difference between the two FF estimates (native algorithm and Y-chromosome-based) suggests that female non-concordant cases may represent non-informative cases.
Cell-free DNA-based testing provides a non-invasive approach to determining the genetic cause of clinical miscarriage.
评估游离 DNA(cfDNA)检测作为一种非侵入性方法,用于检测临床流产中的非整倍体。
对妊娠丢失的女性进行回顾性队列研究。
医院和遗传分析实验室。
2021-2022 年期间的妊娠丢失。
对 120 名流产女性的母体血液进行非侵入性 cfDNA 检测(Veriseq NIPT Solution V2)和妊娠产物(POC)的侵入性分析(Ion ReproSeq)的结果进行比较。
一致性率结果、cfDNA 检测性能、非信息率(NIR)和胎儿分数(FF)。
我们发现,POC 的侵入性(iPOC)和非侵入性(niPOC)分析之间的 NIR 没有显著差异(10.0%[120/120]与 16.7%[20/120])。在 120 个样本中,90 个样本在 iPOC 和 niPOC 组中提供了有信息的结果(75%)。cfDNA 分析正确识别了 74/87(85.1%)的样本(不包括三倍体)。敏感性和特异性分别为 79.4%和 100%;所有不一致的病例均为女性。二项逻辑回归模型表明,胎儿性别是影响一致性率的唯一变量(P=0.035)。基于 Y 染色体的 FF 估计值允许对 cfDNA 的非信息性男性胎儿进行最佳重新分类,并更准确地评估 cfDNA 检测性能。这两种 FF 估计值(原始算法和基于 Y 染色体的)之间的差异表明,女性非一致性病例可能代表非信息性病例。
基于游离 DNA 的检测为确定临床流产的遗传原因提供了一种非侵入性方法。