Incremental Yield of Prenatal Exome Sequencing in Fetuses With Skeletal System Abnormalities: A Systematic Review and Meta-analysis

(Abstracted from Acta Obstet Gynecol Scand 2025;104:604–614) Fetal skeletal abnormalities (SAs) represent a broad range of disorders arising from genetic, environmental, or multifactorial causes, typically identified in mid-to-late gestation through prenatal imaging. They may involve variations in bone size, shape, number, or mineralization, as well as joint contractures or movement limitations, and are often categorized as dysplasia, affecting the entire skeletal framework, or dysostoses, involving localized bone malformations.

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Publication Details

Journal
Obstetrical & Gynecological Survey
Published
2025-10-01
DOI
https://doi.org/10.1097/01.ogx.0001169624.35617.65
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
1.82
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article

Incremental Yield of Prenatal Exome Sequencing in Fetuses With Skeletal System Abnormalities: A Systematic Review and Meta-analysis

Lizhu Chen, Jia Yao, Hao Ding, Yan Wang et al.
1 citations
Obstetrical & Gynecological Survey
Genomics and Rare Diseases
1.82
article

Incremental Yield of Prenatal Exome Sequencing in Fetuses With Skeletal System Abnormalities: A Systematic Review and Meta-analysis

Lizhu Chen, Jia Yao, Hao Ding, Yan Wang, Jianmin Li, Gang Li, Yuan Lv
article en
1 citations

Abstract

(Abstracted from Acta Obstet Gynecol Scand 2025;104:604–614) Fetal skeletal abnormalities (SAs) represent a broad range of disorders arising from genetic, environmental, or multifactorial causes, typically identified in mid-to-late gestation through prenatal imaging. They may involve variations in bone size, shape, number, or mineralization, as well as joint contractures or movement limitations, and are often categorized as dysplasia, affecting the entire skeletal framework, or dysostoses, involving localized bone malformations.

Obstetrical & Gynecological SurveyVol. 80(10)
Bridge University (SS)
Openalex Percentile: Top 12%
Genomics and Rare Diseases
1.82
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