Literature DB >> 29760218

Validation of an Expanded Carrier Screen that Optimizes Sensitivity via Full-Exon Sequencing and Panel-wide Copy Number Variant Identification.

Gregory J Hogan1, Valentina S Vysotskaia1, Kyle A Beauchamp1, Stefanie Seisenberger1, Peter V Grauman1, Kevin R Haas1, Sun Hae Hong1, Diana Jeon1, Shera Kash1, Henry H Lai1, Laura M Melroy1, Mark R Theilmann1, Clement S Chu1, Kevin Iori1, Jared R Maguire1, Eric A Evans1, Imran S Haque1, Rebecca Mar-Heyming1, Hyunseok P Kang1, Dale Muzzey2.   

Abstract

BACKGROUND: By identifying pathogenic variants across hundreds of genes, expanded carrier screening (ECS) enables prospective parents to assess the risk of transmitting an autosomal recessive or X-linked condition. Detection of at-risk couples depends on the number of conditions tested, the prevalence of the respective diseases, and the screen's analytical sensitivity for identifying disease-causing variants. Disease-level analytical sensitivity is often <100% in ECS tests because copy number variants (CNVs) are typically not interrogated because of their technical complexity.
METHODS: We present an analytical validation and preliminary clinical characterization of a 235-gene sequencing-based ECS with full coverage across coding regions, targeted assessment of pathogenic noncoding variants, panel-wide CNV calling, and specialized assays for technically challenging genes. Next-generation sequencing, customized bioinformatics, and expert manual call review were used to identify single-nucleotide variants, short insertions and deletions, and CNVs for all genes except FMR1 and those whose low disease incidence or high technical complexity precluded novel variant identification or interpretation.
RESULTS: Screening of 36859 patients' blood or saliva samples revealed the substantial impact on fetal disease-risk detection attributable to novel CNVs (9.19% of risk) and technically challenging conditions (20.2% of risk), such as congenital adrenal hyperplasia. Of the 7498 couples screened, 335 were identified as at risk for an affected pregnancy, underscoring the clinical importance of the test. Validation of our ECS demonstrated >99% analytical sensitivity and >99% analytical specificity.
CONCLUSIONS: Validated high-fidelity identification of different variant types-especially for diseases with complicated molecular genetics-maximizes at-risk couple detection.
© 2018 American Association for Clinical Chemistry.

Entities:  

Mesh:

Year:  2018        PMID: 29760218     DOI: 10.1373/clinchem.2018.286823

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  15 in total

1.  High-Throughput Screening for CYP21A1P-TNXA/TNXB Chimeric Genes Responsible for Ehlers-Danlos Syndrome in Patients with Congenital Adrenal Hyperplasia.

Authors:  Qizong Lao; Brittany Brookner; Deborah P Merke
Journal:  J Mol Diagn       Date:  2019-06-21       Impact factor: 5.568

2.  Current attitudes and preconceptions towards expanded carrier screening in the Eastern Chinese reproductive-aged population.

Authors:  Fang Zhang; Jianxin Tan; Binbin Shao; Tao Jiang; Ran Zhou; Yan Wang; Jingjing Zhang; Fengchang Qiao; Xiuqing Ji; Ya Wang; Ping Hu; Zhengfeng Xu
Journal:  J Assist Reprod Genet       Date:  2021-01-06       Impact factor: 3.412

3.  Evaluating the efficacy of three carrier screening workflows designed to identify at-risk carrier couples.

Authors:  Aishwarya Arjunan; Raul Torres; Anna Gardiner; Kristjan Eerik Kaseniit; Jeff Wootton; Rotem Ben-Shachar; Katherine Johansen Taber
Journal:  Prenat Diagn       Date:  2021-02-08       Impact factor: 3.050

4.  Is it time to report carrier state for recessive disorders in every microarray analysis?-A pilot model based on hearing loss genes deletions.

Authors:  Idit Maya; Lina Basel-Salmon; Lena Sagi-Dain
Journal:  Eur J Hum Genet       Date:  2021-03-22       Impact factor: 5.351

5.  Clinical validity of expanded carrier screening: Evaluating the gene-disease relationship in more than 200 conditions.

Authors:  Marie Balzotti; Linyan Meng; Dale Muzzey; Katherine Johansen Taber; Kyle Beauchamp; Myriad Genetics Curation Team; Baylor Genetics Curation Team; Rebecca Mar-Heyming; Bethany Buckley; Krista Moyer
Journal:  Hum Mutat       Date:  2020-05-21       Impact factor: 4.878

6.  Detecting clinically actionable variants in the 3' exons of PMS2 via a reflex workflow based on equivalent hybrid capture of the gene and its pseudogene.

Authors:  Genevieve M Gould; Peter V Grauman; Mark R Theilmann; Lindsay Spurka; Irving E Wang; Laura M Melroy; Robert G Chin; Dustin H Hite; Clement S Chu; Jared R Maguire; Gregory J Hogan; Dale Muzzey
Journal:  BMC Med Genet       Date:  2018-09-29       Impact factor: 2.103

7.  A data-driven evaluation of the size and content of expanded carrier screening panels.

Authors:  Rotem Ben-Shachar; Ashley Svenson; James D Goldberg; Dale Muzzey
Journal:  Genet Med       Date:  2019-02-28       Impact factor: 8.822

8.  Screening for Tay-Sachs disease carriers by full-exon sequencing with novel variant interpretation outperforms enzyme testing in a pan-ethnic cohort.

Authors:  Alana C Cecchi; Elizabeth S Vengoechea; Kristjan E Kaseniit; Melanie W Hardy; Laura A Kiger; Nikita Mehta; Imran S Haque; Krista Moyer; Patricia Z Page; Dale Muzzey; Karen A Grinzaid
Journal:  Mol Genet Genomic Med       Date:  2019-07-10       Impact factor: 2.183

9.  Multisite Evaluation and Validation of a Sensitive Diagnostic and Screening System for Spinal Muscular Atrophy that Reports SMN1 and SMN2 Copy Number, along with Disease Modifier and Gene Duplication Variants.

Authors:  John N Milligan; Jessica L Larson; Stela Filipovic-Sadic; Walairat Laosinchai-Wolf; Ya-Wen Huang; Tsang-Ming Ko; Kristin M Abbott; Henny H Lemmink; Minna Toivonen; Johanna Schleutker; Caren Gentile; Vivianna M Van Deerlin; Huiping Zhu; Gary J Latham
Journal:  J Mol Diagn       Date:  2021-03-30       Impact factor: 5.341

10.  Optimizing clinical exome design and parallel gene-testing for recessive genetic conditions in preconception carrier screening: Translational research genomic data from 14,125 exomes.

Authors:  Antonio Capalbo; Roberto Alonso Valero; Jorge Jimenez-Almazan; Pere Mir Pardo; Marco Fabiani; David Jiménez; Carlos Simon; Julio Martin Rodriguez
Journal:  PLoS Genet       Date:  2019-10-07       Impact factor: 5.917

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