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优化诊断策略以识别流产中的遗传异常。

Optimizing the Diagnostic Strategy to Identify Genetic Abnormalities in Miscarriage.

机构信息

Department of Laboratory Medicine, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.

Catholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpodaero, Seocho-gu, Seoul, 06591, South Korea.

出版信息

Mol Diagn Ther. 2021 May;25(3):351-359. doi: 10.1007/s40291-021-00523-9. Epub 2021 Apr 1.

Abstract

INTRODUCTION

The single most common cause of miscarriage is genetic abnormality.

OBJECTIVE

We conducted a prospective cohort study to compare the performance of conventional karyotyping and chromosomal microarray analysis (CMA) using array comparative genomic hybridization (array-CGH) and single nucleotide polymorphism array (SNP-array) to identify genetic abnormalities in miscarriage specimens.

METHODS

A total of 63 miscarriage specimens were included. Conventional karyotyping, array-CGH, and SNP-array were performed and the results compared.

RESULTS

Genetic abnormalities were detected in 31 cases (49.2%) by at least one testing modality. Single autosomal trisomy was the most common defect (71.0%), followed by polyploidy (16.1%), multiple aneuploidy (9.7%), and monosomy X (3.2%). Mosaicisms were identified in four cases and confirmed by fluorescence in situ hybridization (FISH) using appropriate probes. SNP-array had a higher detection rate of genetic abnormalities than array-CGH (93.5 vs. 77.4%), and conventional karyotyping had the lowest detection rate (76.0%). SNP-array enabled the detection of all types of genetic abnormalities, including polyploidy.

CONCLUSIONS

Although conventional karyotyping and FISH are still needed, SNP-array represents the first choice for miscarriage because the technique showed excellent performance in the detection of genetic abnormalities and minimized the probability of testing failure as well as time, costs, and labor.

摘要

简介

流产的最常见原因是遗传异常。

目的

我们进行了一项前瞻性队列研究,比较了传统核型分析和染色体微阵列分析(CMA)在识别流产标本遗传异常方面的性能,使用了阵列比较基因组杂交(array-CGH)和单核苷酸多态性微阵列(SNP-array)。

方法

共纳入 63 例流产标本。进行了常规核型分析、array-CGH 和 SNP-array,并比较了结果。

结果

至少有一种检测方法在 31 例(49.2%)中检测到遗传异常。常染色体三体是最常见的缺陷(71.0%),其次是多倍体(16.1%)、多种非整倍体(9.7%)和单体 X(3.2%)。4 例存在嵌合体,通过使用适当探针的荧光原位杂交(FISH)得到证实。SNP-array 检测到遗传异常的比例高于 array-CGH(93.5% vs. 77.4%),而常规核型分析的检测率最低(76.0%)。SNP-array 能够检测所有类型的遗传异常,包括多倍体。

结论

虽然传统核型分析和 FISH 仍然需要,但 SNP-array 是流产的首选方法,因为该技术在检测遗传异常方面表现出色,最大限度地降低了检测失败的可能性,以及时间、成本和劳动力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dba/8139896/88850060fa58/40291_2021_523_Fig1_HTML.jpg

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