Literature DB >> 31647121

DiGeorge syndrome chromosome region deletion and duplication: Prenatal genotype-phenotype variability in fetal ultrasound and MRI.

Allessandra Tramontana1, Beda Hartmann1, Erich Hafner1.   

Abstract

OBJECTIVE: The aim of the study was to assess genotype-phenotype correlation of prenatally diagnosed fetal DGS and dup22q11 syndrome by fetal molecular genetic analysis, fetal ultrasound, and/or MRI.
METHODS: In this retrospective consecutive case series, pregnant women were screened for fetal anomalies during a period of 10 years. Fetal genotype was assessed in 72 cases upon the occurrence of five prenatal fetal phenotypic features: cardiac anomalies, hypo/aplastic thymus, craniofacial malformations, urinary abnormalities, or IUGR; genotype-phenotype correlation was tested to potentially improve prenatal diagnosis of fetal DGS and dup22q11 syndrome.
RESULTS: Fetal genotypes of deletions or duplications in proximal clusters of LCR22s (A-B) were associated with fetal cardiac anomalies in combination with hypo/aplastic thymus and craniofacial malformations, suggesting a correlation with deleted HIRA. TOF associated with aplastic thymus in combination with renal defects indicated a relevant correlation with TBX1 deletion. Deletions in central LCR22s (B-D) with the loss of CRKL supposed a trend of genotype-phenotype correlation with fetal urinary abnormalities.
CONCLUSION: Genotype-phenotype correlation might improve prenatal diagnosis of fetal DGS and dup22q11 syndrome. Hence, prenatal screening and counseling is highly enhanced by a combination of fetal molecular genetic analysis, fetal ultrasound, and/or MRI. The implications of these findings remain to be explored.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Year:  2019        PMID: 31647121     DOI: 10.1002/pd.5572

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  2 in total

Review 1.  How to read a fetal magnetic resonance image 101.

Authors:  Ailish C Coblentz; Sara R Teixeira; David M Mirsky; Ann M Johnson; Tamara Feygin; Teresa Victoria
Journal:  Pediatr Radiol       Date:  2020-11-30

2.  Adversarial Multiscale Feature Learning Framework for Overlapping Chromosome Segmentation.

Authors:  Liye Mei; Yalan Yu; Hui Shen; Yueyun Weng; Yan Liu; Du Wang; Sheng Liu; Fuling Zhou; Cheng Lei
Journal:  Entropy (Basel)       Date:  2022-04-07       Impact factor: 2.738

  2 in total

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