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DOI 10.1002/mgg3.2181

Медицинская библиотека · Molecular genetics & genomic medicine · 2023

Estimation on risk of spontaneous abortions by genomic disorders from a meta-analysis of microarray results on large case series of pregnancy losses.

Peng Gang, Zhou Qinghua, Chai Hongyan, Wen Jiadi, Zhao Hongyu, Taylor Hugh S, Jiang Yong-Hui, Li Peining

МетаанализСтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

A meta-analysis on seven large case series (>1000 cases) of chromosome microarray analysis (CMA) on products of conceptions (POC) evaluated the diagnostic yields of genomic disorders and syndromic pathogenic copy number variants (pCNVs) from a collection of 35,130 POC cases. CMA detected chromosomal abnormalities and pCNVs in approximately 50% and 2.5% of cases, respectively. The genomic disorders and syndromic pCNVs accounted for 31% of the detected pCNVs, and their incidences in POC ranged from 1/750 to 1/12,000. The newborn incidences of these genomic disorders and syndromic pCNVs were estimated in a range of 1/4000 to 1/50,000 live births from population genetic studies and diagnostic yields of a large case series of 32,587 pediatric patients. The risk of spontaneous abortion (SAB) for DiGeorge syndrome (DGS), Wolf-Hirschhorn syndrome (WHS), and William-Beuren syndrome (WBS) was 42%, 33%, and 21%, respectively. The estimated overall risk of SAB for major genomic disorders and syndromic pCNVs was approximately 38%, which was significantly lower than the 94% overall risk of SAB for chromosomal abnormalities. Further classification on levels of risk of SAB to high (>75%), intermediate (51%-75%), and low (26%-50%) for known chromosomal abnormalities, genomic disorders, and syndromic pCNVs could provide evidence-based interpretation in prenatal diagnosis and genetic counseling.

Для цитирования: Peng Gang, Zhou Qinghua, Chai Hongyan, Wen Jiadi, Zhao Hongyu, Taylor Hugh S, Jiang Yong-Hui, Li Peining. Estimation on risk of spontaneous abortions by genomic disorders from a meta-analysis of microarray results on large case series of pregnancy losses.. Molecular genetics & genomic medicine. 2023. DOI: 10.1002/mgg3.2181.

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