false
zh-CN,zh-TW,en,fr,de,ja,ko,pt,es,th,vi
Catalog
2023 ACMG Annual Clinical Genetics Meeting Digital ...
Validation of parent of origin detection for de no ...
Validation of parent of origin detection for de novo events identified on SNP microarray in a postnatal population
Back to course
Pdf Summary
The study aimed to validate the use of NxClinical software for determining the parent of origin for de novo copy number variants (CNVs) and regions of absence of heterozygosity (AOH) identified on SNP microarrays. The software utilizes informative SNP probes and b-allele frequency values to determine the parent of origin. The study analyzed 37 trio cases and evaluated the accuracy of determining de novo vs inherited events. The results showed that for accurate determination, the trio quality check measurement must be below certain thresholds (<1% for duo and <5% for trio). If the trio quality check is above these thresholds, the sample is rejected. The study found that calls with insufficient data had a median probe count of 47 and a likelihood ratio of under 10, while calls with sufficient data had a median likelihood ratio of 1.21E+07. For de novo analysis, 68% of de novo events had sufficient data for a parent designation, and 34% of de novo events were CNVs with sufficient data. The study did not observe a paternal bias for parent of origin of de novo events. The study also highlighted the importance of better characterizing false positive, false negative, and true positive calls through orthogonal confirmation. The detection of parent of origin for CNVs or AOH is critical for variant classification and communicating clinical impact. The study provided guidance for laboratories considering including this information in trio SNP microarray analyses. Further research is recommended for improving the determination of parental origin.
Asset Subtitle
Presenting Author - Megan Martin, MS, CGC; Co-Author - Brittany Brassell, MS, CGC, CG(ASCP)CM; Co-Author - Daniel Saul, MS; Co-Author - Brian Lee, Ph.D.; Co-Author - Moises Serrano, PhD;
Meta Tag
Clinical Cytogenetics
Genetic Testing
Imprinting
Microarray
Co-Author
Brittany Brassell, MS, CGC, CG(ASCP)CM
Co-Author
Daniel Saul, MS
Co-Author
Brian Lee, Ph.D.
Co-Author
Moises Serrano, PhD
Presenting Author
Megan Martin, MS, CGC
Keywords
NxClinical software
parent of origin determination
copy number variants
absence of heterozygosity
SNP microarrays
informative SNP probes
trio cases
de novo events
trio quality check measurement
sufficient data calls
© 2024 American College of Medical Genetics and Genomics. All rights reserved.
×