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1.
PLoS One ; 15(8): e0238245, 2020.
Article in English | MEDLINE | ID: mdl-32845907

ABSTRACT

To study the detection limits of chromosomal microaberrations in non-invasive prenatal testing with aim for five target microdeletion syndromes, including DiGeorge, Prader-Willi/Angelman, 1p36, Cri-Du-Chat, and Wolf-Hirschhorn syndromes. We used known cases of pathogenic deletions from ISCA database to specifically define regions critical for the target syndromes. Our approach to detect microdeletions, from whole genome sequencing data, is based on sample normalization and read counting for individual bins. We performed both an in-silico study using artificially created data sets and a laboratory test on mixed DNA samples, with known microdeletions, to assess the sensitivity of prediction for varying fetal fractions, deletion lengths, and sequencing read counts. The in-silico study showed sensitivity of 79.3% for 10% fetal fraction with 20M read count, which further increased to 98.4% if we searched only for deletions longer than 3Mb. The test on laboratory-prepared mixed samples was in agreement with in-silico results, while we were able to correctly detect 24 out of 29 control samples. Our results suggest that it is possible to incorporate microaberration detection into basic NIPT as part of the offered screening/diagnostics procedure, however, accuracy and reliability depends on several specific factors.


Subject(s)
Chromosome Mapping/methods , Limit of Detection , Noninvasive Prenatal Testing/methods , Whole Genome Sequencing/methods , Cell-Free Nucleic Acids/analysis , Chromosome Deletion , Chromosome Disorders/diagnosis , Chromosome Disorders/genetics , Chromosomes, Human, Pair 1/genetics , Cri-du-Chat Syndrome/diagnosis , Cri-du-Chat Syndrome/genetics , DiGeorge Syndrome/diagnosis , DiGeorge Syndrome/genetics , Female , Humans , Prader-Willi Syndrome/diagnosis , Prader-Willi Syndrome/genetics , Pregnancy , Prenatal Care , Wolf-Hirschhorn Syndrome/diagnosis , Wolf-Hirschhorn Syndrome/genetics
2.
Int J Mol Sci ; 20(18)2019 Sep 07.
Article in English | MEDLINE | ID: mdl-31500242

ABSTRACT

Copy number variants (CNVs) are an important type of human genome variation, which play a significant role in evolution contribute to population diversity and human genetic diseases. In recent years, next generation sequencing has become a valuable tool for clinical diagnostics and to provide sensitive and accurate approaches for detecting CNVs. In our previous work, we described a non-invasive prenatal test (NIPT) based on low-coverage massively parallel whole-genome sequencing of total plasma DNA for detection of CNV aberrations ≥600 kbp. We reanalyzed NIPT genomic data from 5018 patients to evaluate CNV aberrations in the Slovak population. Our analysis of autosomal chromosomes identified 225 maternal CNVs (47 deletions; 178 duplications) ranging from 600 to 7820 kbp. According to the ClinVar database, 137 CNVs (60.89%) were fully overlapping with previously annotated variants, 66 CNVs (29.33%) were in partial overlap, and 22 CNVs (9.78%) did not overlap with any previously described variant. Identified variants were further classified with the AnnotSV method. In summary, we identified 129 likely benign variants, 13 variants of uncertain significance, and 83 likely pathogenic variants. In this study, we use NIPT as a valuable source of population specific data. Our results suggest the utility of genomic data from commercial CNV analysis test as background for a population study.


Subject(s)
DNA Copy Number Variations , High-Throughput Nucleotide Sequencing/methods , Whole Genome Sequencing/methods , Chromosome Mapping , DNA/blood , Female , Humans , Pregnancy , Prenatal Diagnosis , Segmental Duplications, Genomic , Sequence Deletion , Slovakia
3.
Int J Mol Sci ; 20(15)2019 Jul 26.
Article in English | MEDLINE | ID: mdl-31357438

ABSTRACT

Cell-free nucleic acids (cfNAs) are defined as any nucleic acids that are present outside the cell. They represent valuable biomarkers in various diagnostic protocols such as prenatal diagnostics, the detection of cancer, and cardiovascular or autoimmune diseases. However, in the current literature, little is known about their implication in inflammatory bowel disease (IBD). IBD is a group of multifactorial, autoimmune, and debilitating diseases with increasing incidence worldwide. Despite extensive research, their etiology and exact pathogenesis is still unclear. Since cfNAs were observed in other autoimmune diseases and appear to be relevant in inflammatory processes, their role in the pathogenesis of IBD has also been suggested. This review provides a summary of knowledge from the available literature about cfDNA and cfRNA and the structures involving them such as exosomes and neutrophil extracellular traps and their association with IBD. Current studies showed the promise of cfNAs in the management of IBD not only as biomarkers distinguishing patients from healthy people and differentiating active from inactive disease state, but also as a potential therapeutic target. However, the detailed biological characteristics of cfNAs need to be fully elucidated in future experimental and clinical studies.


Subject(s)
Cell-Free Nucleic Acids , Disease Susceptibility , Inflammatory Bowel Diseases/etiology , Inflammatory Bowel Diseases/metabolism , Animals , Biomarkers , DNA, Mitochondrial , Disease Management , Exosomes , Extracellular Traps , Humans , Inflammatory Bowel Diseases/diagnosis , Inflammatory Bowel Diseases/therapy , Molecular Targeted Therapy , Neutrophils/immunology , Neutrophils/metabolism , Neutrophils/pathology , RNA, Long Noncoding/genetics
4.
J Biotechnol ; 298: 64-75, 2019 Jun 10.
Article in English | MEDLINE | ID: mdl-30998956

ABSTRACT

Although massively parallel sequencing (MPS) is becoming common practice in both research and routine clinical care, confirmation requirements of identified DNA variants using alternative methods are still topics of debate. When evaluating variants directly from MPS data, different read depth statistics, together with specialized genotype quality scores are, therefore, of high relevance. Here we report results of our validation study performed in two different ways: 1) confirmation of MPS identified variants using Sanger sequencing; and 2) simultaneous Sanger and MPS analysis of exons of selected genes. Detailed examination of false-positive and false-negative findings revealed typical error sources connected to low read depth/coverage, incomplete reference genome, indel realignment problems, as well as microsatellite associated amplification errors leading to base miss-calling. However, all these error types were identifiable with thorough manual revision of aligned reads according to specific patterns of distributions of variants and their corresponding reads. Moreover, our results point to dependence of both basic quantitative metrics (such as total read counts, alternative allele read counts and allelic balance) together with specific genotype quality scores on the used bioinformatics pipeline, stressing thus the need for establishing of specific thresholds for these metrics in each laboratory and for each involved pipeline independently.


Subject(s)
DNA/genetics , Genome, Human/genetics , Germ Cells , High-Throughput Nucleotide Sequencing/methods , Exons/genetics , Genetic Variation/genetics , Genotype , Humans , Polymorphism, Single Nucleotide/genetics , Sequence Analysis, DNA/methods , Software
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