Medical Policy 2.04.102 Whole Exome and Whole Genome Sequencing
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The Economic Impact and Functional Applications of Human Genetics and Genomics
The Economic Impact and Functional Applications of Human Genetics and Genomics Commissioned by the American Society of Human Genetics Produced by TEConomy Partners, LLC. Report Authors: Simon Tripp and Martin Grueber May 2021 TEConomy Partners, LLC (TEConomy) endeavors at all times to produce work of the highest quality, consistent with our contract commitments. However, because of the research and/or experimental nature of this work, the client undertakes the sole responsibility for the consequence of any use or misuse of, or inability to use, any information or result obtained from TEConomy, and TEConomy, its partners, or employees have no legal liability for the accuracy, adequacy, or efficacy thereof. Acknowledgements ASHG and the project authors wish to thank the following organizations for their generous support of this study. Invitae Corporation, San Francisco, CA Regeneron Pharmaceuticals, Inc., Tarrytown, NY The project authors express their sincere appreciation to the following indi- viduals who provided their advice and input to this project. ASHG Government and Public Advocacy Committee Lynn B. Jorde, PhD ASHG Government and Public Advocacy Committee (GPAC) Chair, President (2011) Professor and Chair of Human Genetics George and Dolores Eccles Institute of Human Genetics University of Utah School of Medicine Katrina Goddard, PhD ASHG GPAC Incoming Chair, Board of Directors (2018-2020) Distinguished Investigator, Associate Director, Science Programs Kaiser Permanente Northwest Melinda Aldrich, PhD, MPH Associate Professor, Department of Medicine, Division of Genetic Medicine Vanderbilt University Medical Center Wendy Chung, MD, PhD Professor of Pediatrics in Medicine and Director, Clinical Cancer Genetics Columbia University Mira Irons, MD Chief Health and Science Officer American Medical Association Peng Jin, PhD Professor and Chair, Department of Human Genetics Emory University Allison McCague, PhD Science Policy Analyst, Policy and Program Analysis Branch National Human Genome Research Institute Rebecca Meyer-Schuman, MS Human Genetics Ph.D. -
Verification Activities: Sonia Salas
Verification Activities: New and Emerging Technologies Sonia Salas Verification Activities: New and Emerging Technologies • Verification: Methods, procedures, tests and other evaluations, in addition to monitoring, to determine whether a control measure or combination of control measures is or has been operating as intended and to establish the validity of the food safety plan (Source: FDA Industry Guidance: Control of Listeria monocytogenes in RTE Foods) • Verification activities include: validation, verification that monitoring is being conducted as required, verification of implementation and effectiveness, verification that appropriate decisions about corrective actions are being made and reanalysis (Source: PC Rule §117.155) Verification Activities: New and Emerging Technologies What new and emerging technologies can assist the produce sector in determining whether Listeria preventive controls are or have been operating as intended in a food safety plan? Verification Activities: New and Emerging Technologies Listeria controls (Source: FDA Industry Guidance: Control of Listeria monocytogenes in RTE Foods) • Controls on personnel • Design, construction and operation of a plant • Design, construction and maintenance of equipment • Sanitation • Storage practices and time/temperature controls • Transportation • Training • Controls on raw materials and ingredients • Process control based on formulating a RTE food • Listericial process control Verification Activities: New and Emerging Technologies – Whole Genome Sequencing (WGS) – Nanotechnology -
Next-Gen Sequencing Identifies Non-Coding Variation Disrupting
OPEN Molecular Psychiatry (2018) 23, 1375–1384 www.nature.com/mp ORIGINAL ARTICLE Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders P Devanna1, XS Chen2,JHo1,2, D Gajewski1, SD Smith3, A Gialluisi2,4, C Francks2,5, SE Fisher2,5, DF Newbury6,7 and SC Vernes1,5 Understanding the genetic factors underlying neurodevelopmental and neuropsychiatric disorders is a major challenge given their prevalence and potential severity for quality of life. While large-scale genomic screens have made major advances in this area, for many disorders the genetic underpinnings are complex and poorly understood. To date the field has focused predominantly on protein coding variation, but given the importance of tightly controlled gene expression for normal brain development and disorder, variation that affects non-coding regulatory regions of the genome is likely to play an important role in these phenotypes. Herein we show the importance of 3 prime untranslated region (3'UTR) non-coding regulatory variants across neurodevelopmental and neuropsychiatric disorders. We devised a pipeline for identifying and functionally validating putatively pathogenic variants from next generation sequencing (NGS) data. We applied this pipeline to a cohort of children with severe specific language impairment (SLI) and identified a functional, SLI-associated variant affecting gene regulation in cells and post-mortem human brain. This variant and the affected gene (ARHGEF39) represent new putative risk factors for SLI. Furthermore, we identified 3′UTR regulatory variants across autism, schizophrenia and bipolar disorder NGS cohorts demonstrating their impact on neurodevelopmental and neuropsychiatric disorders. Our findings show the importance of investigating non-coding regulatory variants when determining risk factors contributing to neurodevelopmental and neuropsychiatric disorders. -
Clinical Whole Genome Sequencing
PRODUCT DATASHEET CLIA Certified and College of American Clinical Whole Pathologists (CAP) accredited Genome Built around our tried and tested PCR-Free Sequencing whole genome sequencing process OVERVIEW WHAT’S INCLUDED Clinical Human Whole Genome Sequencing provides validated, high quality sequence data generated through the same pro- • Sample receipt and nucleic acid extraction from blood cesses that have produced >100,000 research genomes - in- • QC & plating, sample preparation cluding genomes that have been included in large resource • Sample fidelity QC (96 SNP fingerprinting) datasets such as TOPMed and GnoMAD. Our in-house devel- oped, PCR-Free library construction process produces ex- • 2x150bp paired sequencing reads tremely even coverage of the entire genome, including exonic, • Coverage of ≥95% of bases ≥20x intronic, GC-rich, and regulatory regions. • Data delivery through a secure online portal Whole genome sequencing offers several advantages over tra- • Turnaround time ≤28 days from sample receipt ditional approaches of genomic characterization. Targeted pan- el and exome approaches require amplification of genomic DNA PERFORMANCE METRICS which induces sequence-context specific bias. Analyses of panels and exomes is limited to targeted regions and content % Bases at 20X Target: ≥95% must be updated if new regions are identified for study. Sever- Mean Coverage Target for Genome: ≥30X WGS Coverage al classes of human variation including copy number profiling and structural variation calling are more easily and accurately % Contamination: ≤2.5% (typically less than 0.2%) determined from whole genome sequencing. PF HQ Aligned Bases: ≥8x1010 bases Technical performance specifications for our clinical whole genome were determined through pre-validation analysis of Estimated Library Size: ≥7x109 molecules >20,000 research genomes as well as through input received SNV Sensitivity: 98.8% from our medical and population genetics community. -
Exome Sequencing in Gastrointestinal Food Allergies Induced by Multiple Food Proteins
Exome Sequencing in Gastrointestinal Food Allergies Induced by Multiple Food Proteins Alba Sanchis Juan Department of Biotechnology Universitat Politècnica de València Supervisors: Dr. Javier Chaves Martínez Dr. Ana Bárbara García García Dr. Pablo Marín García This dissertation is submitted for the degree of Doctor of Philosophy September 2019 If you know you are on the right track, if you have this inner knowledge, then nobody can turn you off... no matter what they say. Barbara McClintock Declaration FELIPE JAVIER CHAVES MARTÍNEZ, PhD in Biological Sciences, ANA BÁRBARA GARCÍA GARCÍA, PhD in Pharmacy, and PABLO MARÍN GARCÍA, PhD in Biological Sciences, CERTIFY: That the work “Exome Sequencing in Gastrointestinal Food Allergies Induced by Multiple Food Proteins” has been developed by Alba Sanchis Juan under their supervision in the INCLIVA Biomedical Research Institute, as a Thesis Project in order to obtain the degree of PhD in Biotechnology at the Universitat Politècnica de València. Dr. F. Javier Chaves Martínez Dr. Ana Bárbara García García Dr. Pablo Marín García Acknowledgements Reaching the end of this journey, after so many ups and downs, I cannot but express my gratitude to all those who supported me and helped me through this challenging but rewarding experience. First and foremost, I would like to thank my supervisors, Dr. Javier Chaves Martinez, Dr. Ana Barbara García García and Dr. Pablo Marín García. They gave me the opportunity to work with them when I was still an undergraduate student, and provided me the opportunity to contribute to several exciting projects since then. They also encouraged me into the clinical genomics field and provided me guidance and advice throughout the last four years. -
Whole Exome and Whole Genome Sequencing
UnitedHealthcare® Community Plan Medical Policy Whole Exome and Whole Genome Sequencing Policy Number: CS150.J Effective Date: October 1, 2021 Instructions for Use Table of Contents Page Related Community Plan Policies Application ..................................................................................... 1 • Chromosome Microarray Testing (Non-Oncology Coverage Rationale ....................................................................... 1 Conditions) Definitions ...................................................................................... 2 • Molecular Oncology Testing for Cancer Diagnosis, Applicable Codes .......................................................................... 3 Prognosis, and Treatment Decisions Description of Services ................................................................. 4 • Preimplantation Genetic Testing Clinical Evidence ........................................................................... 4 U.S. Food and Drug Administration ........................................... 22 Commercial Policy References ................................................................................... 22 • Whole Exome and Whole Genome Sequencing Policy History/Revision Information ........................................... 26 Medicare Advantage Coverage Summaries Instructions for Use ..................................................................... 26 • Genetic Testing • Laboratory Tests and Services Application This Medical Policy does not apply to the states listed below; refer to -
The Revolutionizing Prospects of Next Generation DNA Sequencing Of
Schlundt J and Tay MYF, J Food Sci Nutr 2020, 6: 072 DOI: 10.24966/FSN-1076/100072 HSOA Journal of Food Science and Nutrition Review Article this has been a major problem in the past, novel DNA sequenc- The Revolutionizing Prospects ing methodologies are now providing promising new potential. The case is made for the potential to develop a global, equitable sys- of Next Generation DNA tem of whole microbial genome databases to aggregate, share, mine and use microbiological genomic data, to address global food Sequencing of Microorganisms safety and public health challenges and most importantly to reduce for Microbiological and foodborne and infectious disease burden. Keywords: Antimicrobial resistance; Food safety; Genomic data AMR Identification and sharing; Global microbial identifier; Microbiology; Next generation Characterization-the GMI sequencing; One health; Surveillance; Zoonotic diseases Singapore Sequencing Statement Abbreviations AGP: Antimicrobial Growth Promoters; Joergen Schlundt1,2* and Moon Yue Feng Tay1,2 AMR: Antimicrobial Resistance; 1School of Chemical and Biomedical Engineering, Nanyang Technological BSE: Bovine Spongiform Encephalopathy; University (NTU), 62 Nanyang Drive, Singapore EHEC: Enterohaemorrhagic Escherichia Coli; EFSA: European Food Safety Authority; 2Nanyang Technological University Food Technology Centre (NAFTEC), Nanyang Technological University (NTU), Singapore FAO: Food and Agriculture Organization of the United Nations; GFN: Global Foodborne Infections Network; GMI: Global Microbial Identifier; INFOSAN: International Food Safety Authorities Network; Abstract MERS: Middle East Respiratory Syndrome; A cascade of technological DNA sequencing advancements has MDR: Multidrug Resistant; decreased the cost of Whole Genome Sequencing (WGS) very fast. NGS: Next Generation Sequencing; At the same time, the enormous potential of WGS in the surveil- SARS: Severe Acute Respiratory Syndrome; lance of microorganisms and Antimicrobial Resistance (AMR) is in- WGS: Whole Genome Sequencing; creasingly realized. -
Clinical Exome Sequencing Tip Sheet – Medicare Item Numbers 73358/73359
Clinical exome sequencing Tip sheet – Medicare item numbers 73358/73359 Glossary Chromosome microarray (CMA or molecular Monogenic conditions (as opposed karyotype): CMA has a Medicare item number to polygenic or multifactorial conditions) are for patients presenting with intellectual caused by variants in a single gene. Variants disability, developmental delay, autism, or at may be inherited (dominant or recessive least two congenital anomalies. CMA is the fashion), or may occur spontaneously (de recommended first line test in these cases as novo) showing no family history. it can exclude a chromosome cause of disease which is unlikely to be detected by Whole exome sequence – sequencing only exome. the protein coding genes (exons). The exome is ~2% of the genome and contains ~85% of Gene panel is a set of genes that are known to disease-causing gene variants. be associated with a phenotype or disorder. They help narrow down the search Whole genome sequence – sequencing the for variants of interest to genes with evidence entire genome (all genes, including coding linking them to particular phenotypes and noncoding regions) Human phenotype ontology (HPO) terms Singleton – Analysis of the child only. describe a phenotypic abnormality using a Trio – analysis of the child and both biological standard nomenclature. Ideally, all clinicians parents. and scientists are using the same terms. Variant - A change in the DNA code that Mendeliome refers to the ~5,000 genes (out of differs from a reference genome. about 20,000 protein coding genes) that are known to be associated with monogenic disease. As variants in new genes are identified with evidence linking them with human disease, they are added to the Mendeliome. -
Overview of Whole Genome Sequencing
Whole genome sequencing The impact of new DNA sequencing technologies for health In the light of rapid developments in DNA sequencing technologies, we find ourselves on the brink of a new era of genomic medicine in which whole genome sequencing (WGS) becomes an affordable clinical reality. There is no longer any question that within the next few years it will be possible to sequence a full human genome at a speed and cost that will open up unprecedented new opportunities for health care. Pressure is now mounting to ensure that this potential is promptly, effectively and responsibly harnessed for a real impact on health. To meet this challenge, important questions must be considered: • What is the role of WGS technologies in medicine and public health? • How will they affect routine clinical practice and the wider public, and what ethical and legal issues do they raise? • What operational barriers exist to adoption within health services, and how should they be tackled? The PHG Foundation has launched a major new programme to evaluate and address the implications of WGS for health and society. As an independent genetics think-tank and acknowledged founder of the field of public health genomics, we have been at the forefront of efforts to catalyse the timely and responsible application of useful biomedical innovation into health practice for over a decade. Our aim is to identify the best health applications of WGS technologies and recommend strategies that will be pivotal in directing their adoption into health services to improve patient care. We believe that the best approach is to work together with forward-thinking sector leaders to make this happen, and are seeking partners and supporters for this programme. -
The Genomics Era: the Future of Genetics in Medicine - Glossary
The Genomics Era: the Future of Genetics in Medicine - Glossary The glossary below provides a list of key terms used throughout the course. You do not need to read them all now; we’ll be linking back to the main glossary step wherever these terms appear, so you may refer back to this list if you are unsure of the terminology being used. Term Definition The process of matching reads back to their original Alignment position in the reference genome. An allele is one of a number of alternative forms of the same gene or genetic locus. We inherit one copy Allele of our genetic code from our mother and one copy of our genetic code from our father. Each copy is known as an allele. Microarray based genomic comparative hybridisation. This is a technique used to detect chromosome imbalances by comparing patient and control DNA and comparing differences between the two sets. It is Array CGH a useful technique for detecting small chromosome deletions and duplications which would not have been detected with more traditional karyotyping techniques. A unit of DNA. There are four bases which form the Base cross links (or rungs) of the DNA double helix: adenine (A), thymine (T), guanine (G) and cytosine (C). Capture see Target enrichment. The process by which a cell becomes specialized in Cell differentiation order to perform a specific function. Centromere The point at which the sister chromatids are joined. #1 FutureLearn A structure located in the nucleus all living cells, comprised of DNA bound around proteins called histones. The normal number of chromosomes in each Chromosome human cell nucleus is 46 and is composed of 22 pairs of autosomes and a pair of sex chromosomes which determine gender: males have an X and a Y chromosome whilst females have two X chromosomes. -
Lecture 10 : Whole Genome Sequencing and Analysis Introduction to Computational Biology Teresa Przytycka, Phd
Lecture 10 : Whole genome sequencing and analysis Introduction to Computational Biology Teresa Przytycka, PhD Sequencing DNA • Goal – obtain the string of bases that make a given DNA strand. • Problem –Typically one cans sequence directly only DNA of short length (400-700 bp – Sanger; <200 - Illumina). • Sequence assembly – the process of putting together the fragments. Cutting and breaking DNA • Restriction enzymes – proteins that catalyze hydrolysis (breaking the molecule by adding water) of DNA at certain points called restriction sides. • Example: EcoRI restriction side GAATTC. Note that the complement of GAATTC is GAATTC (a sequence equal to its reverse is called a palindrome) ATCCAG AATTCTC… …ATCCAGAATTCTC… …TAGGTCTTAAGAG …TAGGTCTTAA AG Fragment assembly • After DNA fragments (reads) are sequenced we want to assemble then together to reconstruct the entire target sequence. • If the overlaps were unique and error free, this would be relatively easy task… but they are not. • In addition : fragments can come from any of the two DNA strands and we do not know which The “ideal” example Input: ACCGT CGTGC TTAC TACCGT Assume target sequence of about 10bp. - - ACCGT Sample overlaps - - - - CGTGC TTAC - - - - - - TACCGT - - TTACCGTGC consensus sequence Fragment assembly • After DNA fragments (reads) are sequenced we want to assemble then together to reconstruct the entire target sequence. • Most fragment assembly algorithms include the following 3 steps: – Overlap - finding potentially overlapping fragments – Layout – finding the order of the fragments – Consensus – deriving DNA sequence from the layout. • Usually we know with some approximation the length of the target sequence. Finding overlaps • In theory we should test for overlaps all pairs of fragments. For every pair we will consider all relative orientations. -
Whole Exome Sequencing (WES)
Whole Exome Sequencing (WES) Turn Around Time: 30 Days TEST METHODOLOGY CPT Codes: Proband – 81415, Family Member – 81416 DNA will be extracted from whole blood or Test Includes: DNA Extraction other specimen types. Extracted DNA is Library Prep quantified and sheared to the correct size. The Exome Capture sample then undergoes library preparation and Library QC the exome is captured. After quality assurance, Illumina Platform Sequencing the captured library is then subjected to next Data Analysis generation DNA sequencing on the Illumina Sanger Variant Confirmation (if requested) platform. The reads from this sequencing are Interpreted Clinical Report aligned to a reference sequence and variations from this reference are identified. The sequence variants are then loaded into a commercial software package that contains data sources and Expedited WES testing is available. algorithms allowing for the evaluation of whole Contact the lab for more information. exome sequencing variants for evolutionary conservation, predicted impact on protein TEST DESCRIPTION structure and function (including Polyphen2 (5) and SIFT (6)), ability to disrupt conserved Whole Exome Sequencing (WES) is used to detect variants in a patient’s exome splice sites, and presence in databases including in order to determine the role of genomic variants in disease outcomes. The OMIM, dbSNP, and HGMD (1,2,3). The exome is a little more than 1% of the genome that codes for protein. The patient’s software annotates variants with this data, exome will be sequenced to an average depth of 100X with a minimum depth of considering both the reference gene model and coverage of 85X. Over 97% of the exome will be sequenced to a depth of 10X.