Literature DB >> 32344035

Low-Pass Genome Sequencing: Validation and Diagnostic Utility from 409 Clinical Cases of Low-Pass Genome Sequencing for the Detection of Copy Number Variants to Replace Constitutional Microarray.

Alka Chaubey1, Suresh Shenoy2, Abhinav Mathur2, Zeqiang Ma2, C Alexander Valencia2, Babi R Reddy Nallamilli2, Edward Szekeres2, Leah Stansberry2, Ruby Liu2, Madhuri R Hegde2.   

Abstract

DNA copy number variants (CNVs) account for approximately 300 Mb of sequence variation in the normal human genome. Significant numbers of pathogenic CNVs contribute toward human genetic disorders. Recent studies suggest a higher diagnostic and clinical significance of low-pass genome sequencing (LP-GS) compared with chromosomal microarrays (CMAs). The performance metrics of the 5X LP-GS was compared with CMA to validate a low-cost and high-throughput method. LP-GS test performed on 409 samples (including 78 validation and 331 clinical) was evaluated using American College of Medical Genetics and Genomics guidelines. The CNV accuracy, precision, specificity, and sensitivity were calculated to be 100% for all previously characterized CNVs by CMA. Samples (n = 6) run at both approximately 30X GS and approximately 5X GS (LP-GS) average depth detected a concordance of 89.43% to 91.8% and 77.42% to 89.86% for overall single-nucleotide variants and insertions/deletions, respectively. In the 331 clinical samples, 17.2% each were classified as pathogenic/likely pathogenic and uncertain clinical significance. In addition, several cases with pathogenic CNVs were detected that were missed by CMA. This study demonstrates that LP-GS (5X GS) was able to reliably detect absence of heterozygosity, microdeletion/microduplication syndromes, and intragenic CNVs with higher coverage and resolution over the genome. Because of lower cost, higher resolution, and greater sensitivity of this test, our study in combination with other reports could be used in an evidence-based review by professional societies to recommend replacing CMAs.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32344035     DOI: 10.1016/j.jmoldx.2020.03.008

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  4 in total

1.  Integrated CNV-seq, karyotyping and SNP-array analyses for effective prenatal diagnosis of chromosomal mosaicism.

Authors:  Na Ma; Hui Xi; Jing Chen; Ying Peng; Zhengjun Jia; Shuting Yang; Jiancheng Hu; Jialun Pang; Yanan Zhang; Rong Hu; Hua Wang; Jing Liu
Journal:  BMC Med Genomics       Date:  2021-02-25       Impact factor: 3.063

2.  Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson's disease.

Authors:  Sungjae Kim; Jong-Yeon Shin; Nak-Jung Kwon; Chang-Uk Kim; Changhoon Kim; Chong Sik Lee; Jeong-Sun Seo
Journal:  Hum Genomics       Date:  2021-08-28       Impact factor: 4.639

Review 3.  Preimplantation Genetic Testing for Chromosomal Abnormalities: Aneuploidy, Mosaicism, and Structural Rearrangements.

Authors:  Manuel Viotti
Journal:  Genes (Basel)       Date:  2020-05-29       Impact factor: 4.096

4.  Low-pass genome sequencing-based detection of absence of heterozygosity: validation in clinical cytogenetics.

Authors:  Zirui Dong; Matthew Hoi Kin Chau; Yanyan Zhang; Zhenjun Yang; Mengmeng Shi; Yi Man Wah; Yvonne K Kwok; Tak Yeung Leung; Cynthia C Morton; Kwong Wai Choy
Journal:  Genet Med       Date:  2021-03-26       Impact factor: 8.822

  4 in total

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