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Accurate detection of a case with Angelman syndrome (type 1) using SNP array / 中华医学遗传学杂志
Chinese Journal of Medical Genetics ; (6): 824-828, 2016.
Article in Chinese | WPRIM | ID: wpr-345354
ABSTRACT
<p><b>OBJECTIVE</b>To analyze a case with Angelman syndrome (AS) using single nucleotide polymorphism array (SNP array) and explore its genotype-phenotype correlation.</p><p><b>METHODS</b>G-banded karyotyping and SNP array were performed on a child featuring congenital malformations, intellectual disability and developmental delay. Mendelian error checking based on the SNP information was used to delineate the parental origin of detected abnormality. Result of the SNP array was validated with fluorescence in situ hybridization (FISH).</p><p><b>RESULTS</b>The SNP array has detected a 6.053 Mb deletion at 15q11.2q13.1 (22,770,421- 28,823,722) which overlapped with the critical region of AS (type 1). The parents of the child showed no abnormal results for G-banded karyotyping, SNP array and FISH analysis, indicating a de novo origin of the deletion. Mendelian error checking based on the SNP information suggested that the 15q11.2q13.1 deletion was of maternal origin.</p><p><b>CONCLUSION</b>SNP array can accurately define the size, location and parental origin of chromosomal microdeletions, which may facilitate the diagnosis of AS due to 15q11q13 deletion and better understanding of its genotype-phenotype correlation.</p>
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Phenotype / Angelman Syndrome / Polymorphism, Single Nucleotide / Genetics / Genotype / Karyotyping / Methods Type of study: Diagnostic study Limits: Child / Humans / Male Language: Chinese Journal: Chinese Journal of Medical Genetics Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Phenotype / Angelman Syndrome / Polymorphism, Single Nucleotide / Genetics / Genotype / Karyotyping / Methods Type of study: Diagnostic study Limits: Child / Humans / Male Language: Chinese Journal: Chinese Journal of Medical Genetics Year: 2016 Type: Article