Evidence map›Paper›PMID 38835973›Full record

ArticleThe application of clinical genetics2024

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

Zhen Xu, Na Liu, Lu Gao, Dongyi Yu

Abstract read
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Article in The application of clinical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhen XuCenter for Medical Genetics and Prenatal Diagnosis, Shandong Provincial Maternal and Child Health Care Hospital, Affiliated to Qingdao University, Jinan, Shandong, 250000, People's Republic of China.ORCID 0000-0002-6994-4531
Na LiuCenter for Medical Genetics and Prenatal Diagnosis, Shandong Provincial Maternal and Child Health Care Hospital, Affiliated to Qingdao University, Jinan, Shandong, 250000, People's Republic of China.
Lu GaoCenter for Medical Genetics and Prenatal Diagnosis, Shandong Provincial Maternal and Child Health Care Hospital, Affiliated to Qingdao University, Jinan, Shandong, 250000, People's Republic of China.
Dongyi YuCenter for Medical Genetics and Prenatal Diagnosis, Shandong Provincial Maternal and Child Health Care Hospital, Affiliated to Qingdao University, Jinan, Shandong, 250000, People's Republic of China.ORCID 0000-0002-3777-8831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

chromosomal microarray analysisloss of heterozygositymiscarriage

Identifiers

PMID38835973
PMCPMC11149622

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