Molecular Genetic and Clinical Characteristics of Fetuses With Chromosome 16 Short-Arm Microdeletions/Microduplications

16号染色体短臂微缺失/微重复胎儿的分子遗传学和临床特征

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Abstract

BACKGROUND: The short arm of chromosome 16 is highly susceptible to homologous recombination through nonallelic genes. This results in microdeletions/microduplications that can lead to neurodevelopmental disorders. However, incomplete penetrance and phenotypic diversity after birth exacerbate the uncertainty in prenatal genetic counseling. METHODS: A total of 24,000 cases with prenatal diagnoses were retrospectively analyzed. Chromosome microarray analysis (CMA) was performed on 17,000 cases, of which 81 (0.48%) had chromosome 16 short-arm microdeletions/microduplications. RESULTS: Of the 81 fetuses with chromosome 16 short-arm microdeletions/microduplications, 36 and 28 had 16p11.2 and 16p13.11 microdeletions/microduplications, respectively. Ten, four, and three fetuses had 16p12.2, 16p13.12p13.11, and 16p13.12p1.3 microdeletions, respectively. Among the 36 fetuses with 16p11.2 microdeletions/microduplications, 33 had abnormal intrauterine ultrasound phenotypes, the most common being skeletal system abnormalities. Among the 28 fetuses with 16p13.11 microdeletions/microduplications, 19 had abnormal intrauterine ultrasound phenotypes, including 15 with abnormal ultrasonic soft markers. Among the 10 fetuses with the 16p12.2 microdeletions, six had abnormal ultrasound findings, and four had skeletal system abnormalities. After genetic counseling, 44 patients were selected and tested for family verification, of which 22 were de novo, while 22 were inherited from phenotypically normal parents. Among the 47 live births, 39 had no abnormalities. CONCLUSION: All fetuses with the 16p13.11 microdeletions/microduplications, and 16p12.2, 16p13.12p13.11, and 16p13.12p1.3 microdeletions were healthy after birth. Hence, chromosome 16 short-arm microdeletions/microduplications should not be the sole basis for abandoning pregnancy, and clinicians should consider prenatal diagnostic data to maximize diagnostic accuracy.

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