Analysis of genome-wide copy number variations among fetuses with abnormalities detected by prenatal ultrasouography / 中华医学遗传学杂志
Chinese Journal of Medical Genetics
;
(6): 178-182, 2017.
Artículo
en Chino
| WPRIM
| ID: wpr-335161
ABSTRACT
<p><b>OBJECTIVE</b>To explore the genetic etiology of fetal abnormalities detected by prenatal ultrasound through single nucleotide polymorphism (SNP array) analysis.</p><p><b>METHODS</b>Two hundred and eight fetuses were tested with SNP array and conventional karyotyping. Complex copy number variations (CNVs) were verified with fluorescence in situ hybridization (FISH), multiplex ligation-dependent probe amplification (MLPA) and quantitative fluorescence polymerase chain reaction (QF-PCR).</p><p><b>RESULTS</b>For the 208 cases, the diagnostic yields of conventional karyotping and SNP assay were 8.2%(17/208) and 13.9%(29/208), respectively. For fetuses with malformations of the cardiovascular system, central nervous system or multiple systems, pathogenic CNVs was detected in 4.6% (8/174), 2.3%(4/174), and 1.1% (2/174) of all fetuses, respectively. No pathogenic CNVs was detected among those with abnormalities of the renal system, digestive system, skeletal system, facial dysmorphism or respiratory system.</p><p><b>CONCLUSION</b>CNVs are significantly related with birth defects. Compared with conventional karyotyping, SNP array is a better platform for CNVs detection and can provide more clues for genetic counseling, recurrence risk assessment and prenatal diagnosis.</p>
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Complicaciones del Embarazo
/
Diagnóstico Prenatal
/
Diagnóstico por Imagen
/
Aberraciones Cromosómicas
/
Ultrasonografía
/
Polimorfismo de Nucleótido Simple
/
Diagnóstico
/
Estudio de Asociación del Genoma Completo
/
Variaciones en el Número de Copia de ADN
/
Enfermedades Fetales
Tipo de estudio:
Estudio diagnóstico
Límite:
Adulto
/
Femenino
/
Humanos
/
Masculino
/
Recién Nacido
/
Embarazo
Idioma:
Chino
Revista:
Chinese Journal of Medical Genetics
Año:
2017
Tipo del documento:
Artículo
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