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在计算机中进行大小选择可以有效地减少由于母体嵌合单体 X 而导致的假阳性 X 单体性 NIPS 病例。

In silico size selection is effective in reducing false positive NIPS cases of monosomy X that are due to maternal mosaic monosomy X.

机构信息

"Research Center for Obstetrics, Gynecology and Perinatology," Ministry of Healthcare of the Russian Federation, Federal State Budget Institution, Moscow, Russia.

出版信息

Prenat Diagn. 2017 Dec;37(13):1305-1310. doi: 10.1002/pd.5178.

Abstract

OBJECTIVES

The aim of this study was to establish maternal contribution to false positive noninvasive prenatal DNA screening (NIPS) results and develop the method to distinguish maternal and fetal origin of high-risk monosomy X NIPS calls including mosaic maternal cases.

METHOD

A total of 906 women carrying singleton pregnancies have been recruited. Maternal plasma DNA semiconductor massive parallel sequencing was performed to detect common aneuploidies. For the case of high monosomy X risk call, analysis method to distinguish fetal and maternal monosomy X has been additionally applied.

RESULTS

According to NIPS results, 18 patients had a high risk of fetal monosomy X. In 11 (61%) cases, fetal aneuploidy was confirmed by karyotyping. Other 7 cases were false positives. In 3 out of 7 cases, additional analysis based on in silico size selection was allowed to assume maternal monosomy X. In these cases, fluorescence in situ hybridization analysis confirmed mosaic monosomy X in maternal blood cells.

CONCLUSION

The prevalence of mosaic monosomy X karyotype is 0.3% (3/906)-10 times higher than published before. Additional in silico size-selection and data analysis increases PPV for monosomy X from 61% to 73% for studied population.

摘要

目的

本研究旨在确定母体对无创性产前 DNA 筛查(NIPS)假阳性结果的贡献,并开发一种方法来区分高危单体 X NIPS 呼叫的母体和胎儿来源,包括镶嵌母体病例。

方法

共招募了 906 名携带单胎妊娠的妇女。对母体血浆 DNA 半导体大规模平行测序进行检测,以检测常见的非整倍体。对于单体 X 高风险呼叫的情况,应用了额外的分析方法来区分胎儿和母体单体 X。

结果

根据 NIPS 结果,18 名患者胎儿单体 X 风险较高。在 11 例(61%)中,通过核型分析证实胎儿非整倍体。其他 7 例为假阳性。在 7 例中的 3 例中,允许基于计算机大小选择的额外分析来假设母体单体 X。在这些情况下,荧光原位杂交分析证实母体血细胞存在镶嵌单体 X。

结论

镶嵌单体 X 核型的患病率为 0.3%(3/906)-比以前发表的高 10 倍。额外的计算机大小选择和数据分析将研究人群中单体 X 的阳性预测值从 61%提高到 73%。

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