Application of Chromosomal Microarray Analysis in Genetic Reasons of Miscarriage Tissues.

IF 2.6 Q2 GENETICS & HEREDITY Application of Clinical Genetics Pub Date : 2024-05-31 eCollection Date: 2024-01-01 DOI:10.2147/TACG.S461674
Zhen Xu, Na Liu, Lu Gao, Dongyi Yu
{"title":"Application of Chromosomal Microarray Analysis in Genetic Reasons of Miscarriage Tissues.","authors":"Zhen Xu, Na Liu, Lu Gao, Dongyi Yu","doi":"10.2147/TACG.S461674","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The potential causes of miscarriage are very complex, including genetic, immune, infectious, and endocrine factors. 50%-60% of miscarriages are caused by chromosomal abnormalities. Chromosomal microarray analysis (CMA) is a key tool in this context, capable of detecting not only copy number variations (CNV) but also loss of heterozygosity (LOH). CMA has been used as a tool to investigate the genetic reasons for miscarriage.</p><p><strong>Methods: </strong>In our study, chromosomal microarray analysis (CMA) conducted 1220 miscarriage villous tissues. The results from this technology were used to identify the genetic reasons for miscarriage and evaluated strategies for subsequent pre-pregnancy planning.</p><p><strong>Results: </strong>Here, the abnormality rate of miscarriage was 56.07%(684/1220). The aneuploidy rate accounted for 81.14%(555/684), and was significantly higher in group >35-year-old age. The second most common genetic reason for miscarriage was polyploidy, accounting for 10.09%(69/684). Additionally, we discovered loss of heterozygosity (LOH) in a small percentage of cases, accounting for 2.20%(15/684) reason for miscarriage genetic reasons, due to the advantage of CMA can detect isodisomy (a kind of uniparental disomy). 45 cases (6.58%) with copy number variants, which due to the CMA can detect copy number variations.</p><p><strong>Conclusion: </strong>Our study indicated that miscarriage villous tissues should be performed genetic analysis, seek help from professional genetic counseling.</p>","PeriodicalId":39131,"journal":{"name":"Application of Clinical Genetics","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149622/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Application of Clinical Genetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/TACG.S461674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The potential causes of miscarriage are very complex, including genetic, immune, infectious, and endocrine factors. 50%-60% of miscarriages are caused by chromosomal abnormalities. Chromosomal microarray analysis (CMA) is a key tool in this context, capable of detecting not only copy number variations (CNV) but also loss of heterozygosity (LOH). CMA has been used as a tool to investigate the genetic reasons for miscarriage.

Methods: In our study, chromosomal microarray analysis (CMA) conducted 1220 miscarriage villous tissues. The results from this technology were used to identify the genetic reasons for miscarriage and evaluated strategies for subsequent pre-pregnancy planning.

Results: Here, the abnormality rate of miscarriage was 56.07%(684/1220). The aneuploidy rate accounted for 81.14%(555/684), and was significantly higher in group >35-year-old age. The second most common genetic reason for miscarriage was polyploidy, accounting for 10.09%(69/684). Additionally, we discovered loss of heterozygosity (LOH) in a small percentage of cases, accounting for 2.20%(15/684) reason for miscarriage genetic reasons, due to the advantage of CMA can detect isodisomy (a kind of uniparental disomy). 45 cases (6.58%) with copy number variants, which due to the CMA can detect copy number variations.

Conclusion: Our study indicated that miscarriage villous tissues should be performed genetic analysis, seek help from professional genetic counseling.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
染色体芯片分析在流产组织遗传学原因中的应用
背景:流产的潜在原因非常复杂,包括遗传、免疫、感染和内分泌因素。50%-60%的流产是由染色体异常引起的。染色体微阵列分析(CMA)是这方面的一个重要工具,它不仅能检测拷贝数变异(CNV),还能检测杂合性缺失(LOH)。CMA 已被用作研究流产遗传原因的工具:在我们的研究中,对 1220 例流产绒毛组织进行了染色体微阵列分析(CMA)。方法:我们的研究对 1220 个流产绒毛组织进行了染色体微阵列分析(CMA),利用该技术的结果确定流产的遗传原因,并评估后续孕前计划的策略:结果:流产的异常率为 56.07%(684/1220)。非整倍体率占 81.14%(555/684),在年龄大于 35 岁的群体中明显较高。多倍体是导致流产的第二大遗传原因,占 10.09%(69/684)。此外,我们还在一小部分病例中发现了杂合性缺失(LOH),占流产遗传原因的 2.20%(15/684)。45例(6.58%)存在拷贝数变异,由于 CMA 可以检测到拷贝数变异:我们的研究表明,流产绒毛组织应进行遗传分析,并寻求专业遗传咨询的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Application of Clinical Genetics
Application of Clinical Genetics Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
5.40
自引率
0.00%
发文量
20
审稿时长
16 weeks
期刊最新文献
The Ser434Phe Androgen Receptor Gene Mutation Does Not Affect Fertility but is Associated with Increased Prolactin. Class II Transactivator Gene (CIITA) Variants Associated with Bare Lymphocyte Syndrome II in a Female Sudanese Patient. Erratum: Sturge-Weber Syndrome: A Review of Pathophysiology, Genetics, Clinical Features, and Current Management Approache [Corrigendum]. Comparison of the Accuracy in Provisional Diagnosis of 22q11.2 Deletion and Williams Syndromes by Facial Photos in Thai Population Between De-Identified Facial Program and Clinicians. The Diversity of CYP2C19 Polymorphisms in the Thai Population: Implications for Precision Medicine.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1