scholarly journals Accurate and reliable high-throughput detection of copy number variation in the human genome

2006 ◽  
Vol 16 (12) ◽  
pp. 1566-1574 ◽  
Author(s):  
H. Fiegler ◽  
R. Redon ◽  
D. Andrews ◽  
C. Scott ◽  
R. Andrews ◽  
...  
2020 ◽  
Vol 160 (11-12) ◽  
pp. 634-642
Author(s):  
Shiqiang Luo ◽  
Xingyuan Chen ◽  
Tizhen Yan ◽  
Jiaolian Ya ◽  
Zehui Xu ◽  
...  

High-throughput sequencing based on copy number variation (CNV-seq) is commonly used to detect chromosomal abnormalities. This study identifies chromosomal abnormalities in aborted embryos/fetuses in early and middle pregnancy and explores the application value of CNV-seq in determining the causes of pregnancy termination. High-throughput sequencing was used to detect chromosome copy number variations (CNVs) in 116 aborted embryos in early and middle pregnancy. The detection data were compared with the Database of Genomic Variants (DGV), the Database of Chromosomal Imbalance and Phenotype in Humans using Ensemble Resources (DECIPHER), and the Online Mendelian Inheritance in Man (OMIM) database to determine the CNV type and the clinical significance. High-throughput sequencing results were successfully obtained in 109 out of 116 specimens, with a detection success rate of 93.97%. In brief, there were 64 cases with abnormal chromosome numbers and 23 cases with CNVs, in which 10 were pathogenic mutations and 13 were variants of uncertain significance. An abnormal chromosome number is the most important reason for embryo termination in early and middle pregnancy, followed by pathogenic chromosome CNVs. CNV-seq can quickly and accurately detect chromosome abnormalities and identify microdeletion and microduplication CNVs that cannot be detected by conventional chromosome analysis, which is convenient and efficient for genetic etiology diagnosis in miscarriage.


2010 ◽  
Vol 11 (6) ◽  
pp. 426-431 ◽  
Author(s):  
Hasmik Mkrtchyan ◽  
Madeleine Gross ◽  
Sophie Hinreiner ◽  
Anna Polytiko ◽  
Marina Manvelyan ◽  
...  

2010 ◽  
Vol 11 (1) ◽  
pp. 74 ◽  
Author(s):  
Xiaowu Gai ◽  
Juan C Perin ◽  
Kevin Murphy ◽  
Ryan O'Hara ◽  
Monica D'arcy ◽  
...  

2015 ◽  
Vol 16 (3) ◽  
pp. 172-183 ◽  
Author(s):  
Mehdi Zarrei ◽  
Jeffrey R. MacDonald ◽  
Daniele Merico ◽  
Stephen W. Scherer

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