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Objective: To evaluate the technical accuracy, inheritance, and pathogenicity of small copy number variants (CNVs) detected by a targeted next-generation sequencing-based preimplantation genetic testing for aneuploidy (PGT-A) platform., Design: Retrospective observational study performed between 2020 and 2022., Setting: Clinic., Patient(s): A total of 12,157 patients who underwent clinical PGT-A performed by targeted next-generation sequencing for whole chromosome and large segmental aneuploidies., Intervention(s): An incidental finding was reported when a CNV gain/loss of at least 3 consecutive amplicons appeared in at least 2 embryos from the same in vitro fertilization cycle., Main Outcome Measure(s): The primary outcome measures were the specificity, incidence, inheritance, and pathogenicity of small CNVs detected by the PGT-A platform. Accuracy of the PGT-A platform CNV calls was assessed via concordance with the CNV calls (size and genomic location) on chromosomal microarray of the gamete provider(s). Parental origin of the CNV and pathogenicity classifications were also reported., Result(s): An incidental finding that met reporting criteria was identified in 75 (0.62%; 95% confidence interval, 0.5%-0.8%) of 12,157 unique PGT-A patients. Chromosomal microarray follow-up was requested for all cases, and results were received for 1 or both members of 65 reproductive couples. In all cases, 1 of the gamete providers was confirmed to have the CNV identified in the embryos (100.0%, N = 65/65; 95% confidence interval, 94.5-100). The identified CNV was of maternal origin in 34 cases (52.3%) and of paternal origin in 31 cases (47.7%). A significant correlation was identified between PGT-A-predicted CNV sizes and chromosomal microarray detected sizes (r = 0.81) and genomic coordinates on parental deoxyribonucleic acid. Twenty-six (40%) of the CNVs were classified as benign/likely benign, 30 (46.2%) as a variant of uncertain significance, and 9 (13.8%) as pathogenic/likely pathogenic., Conclusion(s): Certain PGT-A platforms may enable the detection of inherited, small CNVs with extremely high specificity without prior knowledge of parental status. Most CNVs in this data set were confirmed to be benign/likely benign or a variant of uncertain significance. Pathogenic/likely pathogenic CNVs associated with a broad range of phenotypic features may also be detected, although a reliable negative predictive value for small CNVs with current PGT-A technologies is unknown because of the many technical challenges., Competing Interests: Declaration of Interests A.I. is a full-time employee of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey, and reports travel support from Juno Genetics. E.M. is a full-time employee of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey. L.P. is a full-time employee of Juno Genetics-Italy, Reproductive Genetics, Rome, Italy. C.V. is a full-time employee of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey. F.M. is a full-time employee of Juno Genetics-Italy, Reproductive Genetics, Rome, Italy. C.S.O. is a full-time employee of Juno Genetics-Italy, Reproductive Genetics, Rome, Italy. C.W. is a full-time employee of IVIRMA, Clinical Research, Basking Ridge, New Jersey. X.T. is a full-time employee of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey. Y.Z. is a full-time employee of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey. N.L. is a full-time employee of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey. V.J. is a full-time employee of Columbia University Irving Medical Center, New York, New York, and Medical Genome Initiative Steering Committee Chair and reports consulting fees and travel support from Juno Genetics-US, outside the submitted work. A.C. is a full-time employee of Juno Genetics-Italy, Reproductive Genetics, Rome, Italy. C.J. is Chief Executive Officer of Juno Genetics-US, Genetic Lab, Basking Ridge, New Jersey., (Copyright © 2024 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)

Purpose: Variants of uncertain significance (VUS) are a common result of diagnostic genetic testing and can be difficult to manage with potential misinterpretation and downstream costs, including time investment by clinicians. We investigated the rate of VUS reported on diagnostic testing via multi-gene panels (MGPs) and exome and genome sequencing (ES/GS) to measure the magnitude of uncertain results and explore ways to reduce their potentially detrimental impact., Methods: Rates of inconclusive results due to VUS were collected from over 1.5 million sequencing test results from 19 clinical laboratories in North America from 2020 to 2021., Results: We found a lower rate of inconclusive test results due to VUSs from ES/GS (22.5%) compared with MGPs (32.6%; P < .0001). For MGPs, the rate of inconclusive results correlated with panel size. The use of trios reduced inconclusive rates (18.9% vs 27.6%; P < .0001), whereas the use of GS compared with ES had no impact (22.2% vs 22.6%; P = ns)., Conclusion: The high rate of VUS observed in diagnostic MGP testing warrants examining current variant reporting practices. We propose several approaches to reduce reported VUS rates, while directing clinician resources toward important VUS follow-up., Competing Interests: Conflict of Interest All authors are or were employed by clinical laboratories offering genetic testing services, as indicated by their affiliations. Additional existing conflicts or those that were relevant at the time of data collection and publication include the following: Swaroop Aradhya, Elaine Chen, Kathryn E. Hatchell, and Dianalee McKnight - stockholders of Invitae Corp.; Christina DiVincenzo, Izabela D. Karbassi - stockholders of Quest Diagnostics; Kyle Retterer - past stockholder of Sema4 and Opko Health; Kyle W. Davis, Nir Neerman, and Christine Stanley - stockholders of Variantyx; Denise Perry, Ryan Taft, Erin Thorpe, and Brittany Thomas - stockholders of Illumina, Inc., (Copyright © 2023 American College of Medical Genetics and Genomics. Published by Elsevier Inc. All rights reserved.)

Copy number variations (CNVs) play a significant role in human disease. While chromosomal microarray has traditionally been the first-tier test for CNV detection, use of genome sequencing (GS) is increasing. We report the frequency of CNVs detected with GS in a diverse pediatric cohort from the NYCKidSeq program and highlight specific examples of its clinical impact. A total of 1052 children (0-21 years) with neurodevelopmental, cardiac, and/or immunodeficiency phenotypes received GS. Phenotype-driven analysis was used, resulting in 183 (17.4%) participants with a diagnostic result. CNVs accounted for 20.2% of participants with a diagnostic result (37/183) and ranged from 0.5 kb to 16 Mb. Of participants with a diagnostic result (n = 183) and phenotypes in more than one category, 5/17 (29.4%) were solved by a CNV finding, suggesting a high prevalence of diagnostic CNVs in participants with complex phenotypes. Thirteen participants with a diagnostic CNV (35.1%) had previously uninformative genetic testing, of which nine included a chromosomal microarray. This study demonstrates the benefits of GS for reliable detection of CNVs in a pediatric cohort with variable phenotypes., (© 2023 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Background: Increasingly, genomics is informing clinical practice, but challenges remain for medical professionals lacking genetics expertise, and in access to and clinical utility of genomic testing for minority and underrepresented populations. The latter is a particularly pernicious problem due to the historical lack of inclusion of racially and ethnically diverse populations in genomic research and genomic medicine. A further challenge is the rapidly changing landscape of genetic tests and considerations of cost, interpretation, and diagnostic yield for emerging modalities like whole-genome sequencing., Methods: The NYCKidSeq project is a randomized controlled trial recruiting 1130 children and young adults predominantly from Harlem and the Bronx with suspected genetic disorders in three disease categories: neurologic, cardiovascular, and immunologic. Two clinical genetic tests will be performed for each participant, either proband, duo, or trio whole-genome sequencing (depending on sample availability) and proband targeted gene panels. Clinical utility, cost, and diagnostic yield of both testing modalities will be assessed. This study will evaluate the use of a novel, digital platform (GUÍA) to digitize the return of genomic results experience and improve participant understanding for English- and Spanish-speaking families. Surveys will collect data at three study visits: baseline (0 months), result disclosure visit (ROR1, + 3 months), and follow-up visit (ROR2, + 9 months). Outcomes will assess parental understanding of and attitudes toward receiving genomic results for their child and behavioral, psychological, and social impact of results. We will also conduct a pilot study to assess a digital tool called GenomeDiver designed to enhance communication between clinicians and genetic testing labs. We will evaluate GenomeDiver's ability to increase the diagnostic yield compared to standard practices, improve clinician's ability to perform targeted reverse phenotyping, and increase the efficiency of genetic testing lab personnel., Discussion: The NYCKidSeq project will contribute to the innovations and best practices in communicating genomic test results to diverse populations. This work will inform strategies for implementing genomic medicine in health systems serving diverse populations using methods that are clinically useful, technologically savvy, culturally sensitive, and ethically sound., Trial Registration: ClinicalTrials.gov NCT03738098 . Registered on November 13, 2018 Trial Sponsor: Icahn School of Medicine at Mount Sinai Contact Name: Eimear Kenny, PhD (Principal Investigator) Address: Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl., Box 1003, New York, NY 10029 Email: eimear.kenny@mssm.edu.

Whole-exome sequencing (WES) has been used as a standard of care for postnatal diagnosis in the clinical setting in the past few years for children and adults with undiagnosed disease. Many rare disorders have been diagnosed through WES, which is less expensive than the traditional serial genetic testing where patients had previously spent years on an uninformative diagnostic odyssey. Seeking a diagnosis often entails enduring time consuming, and sometimes invasive procedures which may be associated with medical risks that are stressful for families and impose a heavy burden on the health-care system. However, the use of WES is considered impractical in the prenatal and neonatal testing period because of the technical and computational challenges of performing genomic sequencing from small amounts of genetic material, and the need for faster turnaround time (TAT) than the current 6-8 weeks TAT provided by most clinical labs offering postnatal testing. With the rapidly evolving methods of sequence analysis, there are clinical challenges such as the constantly increasing number of genes being identified which are not yet fully phenotypically characterized, especially when ascertained prenatally or neonatally before all the clinical features may be evident. Despite these challenges, there are many clinical benefits to acquiring genomic information in the prenatal and neonatal period. These include superior prognostic information which allows for prenatal planning of mode of delivery and hospital for delivery and optimized neonatal management. We have developed a clinical WES assay using small amounts of DNA with a TAT of 10 days for use in the prenatal or neonatal setting. This test is used to detect small nucleotide variants and indels in fetuses and neonates with structural abnormalities.

Purpose: To demonstrate the accuracy and sensitivity of Representational Oligonucleotide Microarray Analysis (ROMA) to describe copy number changes in patients with chromosomal abnormalities., Methods: ROMA was performed using BglII digested DNA from two cases with cytogenetically detected deletions and one case with an unbalanced terminal rearrangement detected only by subtelomeric FISH. Hybridization was to an 85,000-probe oligonucleotide microarray, providing an average resolution of 35 kb. FISH was used to confirm some of the ROMA findings., Results: By ROMA, a del(13)(q14.3q21.2) was shown to be noncontiguous, with deletions extending from 53.08 to 61.40 Mb and from 72.88 to 74.83 Mb. The 10-Mb deletion contained only six known genes. FISH confirmed the noncontiguous nature of the deletion, as well as a small amplification in 6q that was also found in the patient's mother. A del(4)(q12q21.2) was found by ROMA to be 23 Mb in length, from 58.8 to 81.9 Mb on chromosome 4, in agreement with the cytogenetically assigned breakpoints. ROMA showed that an unbalanced "subtelomeric" rearrangement involved a 6-Mb deletion of 22q and an 8-Mb duplication of 16q., Conclusions: ROMA can define cytogenetic aberrations with extraordinary precision. Unexpected findings included the interrupted nature of the deletion in 13q and the large size of the imbalances in the "subtelomeric" rearrangement. Together with the information from the human genome sequence and proteomics, the ability to define rearrangements with "ultra-high" resolution will improve the ability to provide accurate prognosis both prenatally and postnatally to parents of offspring with chromosomal aberrations.

Background: A multiplex fluorescence in-situ hybridization (FISH) strategy using chromosome-specific probes for eight chromosomes as an initial screen for chromosome abnormalities in uncultured tissues from spontaneous abortions was evaluated., Methods: Fifty-seven prefetal spontaneous abortions were studied by karyotyping cultured cells and using FISH on uncultured cells. Two probe sets were used, identifying chromosomes 13, 15, 16, 18, 21, 22, X and Y., Results: Abnormalities were detected in 53% of cases by karyotyping, and 54% of cases by FISH. FISH detected an abnormality in four of five cases where cultures failed, and in two cases where maternal cells apparently overgrew the culture. FISH missed four trisomies not identifiable with the probe sets, and one trisomy because one probe set was unscorable. FISH using these probes identified 83% of all abnormalities detected by karyotyping., Conclusions: FISH can detect abnormalities in a significant proportion of cases where the culture fails to grow or is contaminated by maternal cell growth. Multiplex FISH as an initial screen, followed by culture and karyotyping in cases where no abnormality is detected, would identify a higher proportion of chromosome abnormalities in spontaneous abortion specimens than karyotype analysis alone.