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1.
Prenat Diagn ; 42(7): 862-872, 2022 06.
Article in English | MEDLINE | ID: mdl-35441720

ABSTRACT

OBJECTIVE: The diagnostic yield for congenital heart defects (CHD) with routine genetic testing is around 10%-20% when considering pathogenic CNVs or aneuploidies as positive findings. This is a pilot study to investigate the utility of genome sequencing (GS) for prenatal diagnosis of CHD. METHODS: Genome sequencing (GS, 30X) was performed on 13 trios with CHD for which karyotyping and/or chromosomal microarray results were non-diagnostic. RESULTS: Trio GS provided a diagnosis for 4/13 (30.8%) fetuses with complex CHDs and other structural anomalies. Findings included pathogenic or likely pathogenic variants in DNAH5, COL4A1, PTPN11, and KRAS. Of the nine cases without a genetic etiology by GS, we had outcome follow-up data on eight. For five of them (60%), the parents chose to keep the pregnancy. A balanced translocation [46,XX,t(14; 22)(q32.33; q13.31)mat] was detected in a trio with biallelic DNAH5 mutations, which together explained the recurrent fetal situs inversus and dextrocardia that was presumably due to de novo Phelan-McDermid syndrome. A secondary finding of a BRCA2 variant and carrier status of HBB, USH2A, HBA1/HBA2 were detected in the cohort. CONCLUSIONS: GS expands the diagnostic scope of mutation types over conventional testing, revealing the genetic etiology for fetal heart anomalies. Patients without a known genetic abnormality indicated by GS likely opted to keep pregnancy especially if the heart defect could be surgically repaired. We provide evidence to support the application of GS for fetuses with CHD.


Subject(s)
Fetal Diseases , Heart Defects, Congenital , Chromosome Aberrations , DNA Copy Number Variations , Female , Fetal Heart , Heart Defects, Congenital/diagnosis , Heart Defects, Congenital/genetics , Humans , Pilot Projects , Pregnancy , Prenatal Diagnosis/methods
2.
Hong Kong Med J ; 27(6): 428-436, 2021 12.
Article in English | MEDLINE | ID: mdl-34949731

ABSTRACT

INTRODUCTION: This study investigated the incidences of chromosomal abnormalities and the neurological outcomes according to the degree of fetal cerebral ventriculomegaly. METHODS: All women with antenatal ultrasound diagnosis of fetal cerebral ventriculomegaly were retrospectively identified from two maternal-fetal medicine units in Hong Kong from January 2014 to December 2018. Degrees of fetal ventriculomegaly were classified as mild (10-11.9 mm), moderate (12-14.9 mm), or severe (≥15 mm). Genetic investigation results were reviewed, including conventional karyotyping and chromosomal microarray analysis (CMA); correlations between chromosomal abnormalities and the degree of fetal ventriculomegaly were explored. The neurological outcomes of subsequent live births were analysed to identify factors associated with developmental delay. RESULTS: Of 84 cases (ie, pregnant women and their fetuses) included, 46 (54.8%) exhibited isolated fetal ventriculomegaly, 55 (65.5%) had mild cerebral ventriculomegaly, and 29 (34.5%) had moderate or severe cerebral ventriculomegaly. Overall, 20% (14/70) of cases had chromosomal abnormalities. Moreover, 12% (3/25) of mild isolated ventriculomegaly cases had abnormal karyotype or CMA results. The CMA provided an incremental diagnostic yield of 8.6% (6/70), compared with conventional karyotyping; 4.3% exhibited pathogenic variants and 4.3% exhibited variants of uncertain significance. Among the 53 live births in the cohort, fewer cases of mild isolated ventriculomegaly were associated with developmental delay than more severe isolated ventriculomegaly (9.7% vs 41.7%, P<0.03). CONCLUSIONS: Chromosomal microarray analysis testing should be offered to all women with fetal cerebral ventriculomegaly, including women with isolated mild ventriculomegaly. The incidence of developmental delay after birth increases with the degree of prenatal cerebral ventriculomegaly.


Subject(s)
Chromosome Aberrations , Hydrocephalus , Cohort Studies , Female , Humans , Hydrocephalus/diagnostic imaging , Hydrocephalus/genetics , Karyotyping , Microarray Analysis , Pregnancy , Prenatal Diagnosis , Retrospective Studies , Ultrasonography, Prenatal
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