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A chromosomal microarray analysis-based laboratory algorithm for the detection of genetic etiology of early pregnancy loss

Authors :
Na Liao
Zhu Zhang
Xijing Liu
Jiamin Wang
Rui Hu
Like Xiao
Yunyuan Yang
Yi Lai
Hongmei Zhu
Lingping Li
Shanling Liu
He Wang
Ting Hu
Source :
Frontiers in Genetics, Vol 14 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

Background: Chromosomal abnormalities are a major cause of early pregnancy loss. However, models synthesizing existing genetic technologies to improve pregnancy outcomes are lacking. We aim to provide an integrated laboratory algorithm for the genetic etiology of couples who experienced pregnancy loss.Methods: Over a 6-year period, 3,634 products of conception (POCs) following early pregnancy loss were collected. The clinical outcomes from a laboratory algorithm based on single nucleotide polymorphism (SNP) array, fluorescence in situ hybridization (FISH), and parental chromosomal karyotyping assays were comprehensively evaluated.Results: In total, 3,445 of 3,634 (94.8%) POCs had no maternal-cell contamination. Of those POCs, the detection rate of abnormal results was 65.2% (2,247/3,445), of which 91.2% (2,050/2,247) had numerical chromosomal abnormalities, 2.7% (60/2,247) had copy-number variations (CNVs) ≥10 Mb, 2.7% (61/2,247) had CNVs of terminal deletion and duplication, 2.8% (62/2,247) had CNVs

Details

Language :
English
ISSN :
16648021
Volume :
14
Database :
Directory of Open Access Journals
Journal :
Frontiers in Genetics
Publication Type :
Academic Journal
Accession number :
edsdoj.320e856584c4830a37c515de808b019
Document Type :
article
Full Text :
https://doi.org/10.3389/fgene.2023.1203891