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Genetics in Medicine | 2015

Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

Sue Richards; Nazneen Aziz; Sherri J. Bale; David P. Bick; Soma Das; Julie M. Gastier-Foster; Wayne W. Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl V. Voelkerding; Heidi L. Rehm

Disclaimer: These ACMG Standards and Guidelines were developed primarily as an educational resource for clinical laboratory geneticists to help them provide quality clinical laboratory services. Adherence to these standards and guidelines is voluntary and does not necessarily assure a successful medical outcome. These Standards and Guidelines should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. In determining the propriety of any specific procedure or test, the clinical laboratory geneticist should apply his or her own professional judgment to the specific circumstances presented by the individual patient or specimen. Clinical laboratory geneticists are encouraged to document in the patient’s record the rationale for the use of a particular procedure or test, whether or not it is in conformance with these Standards and Guidelines. They also are advised to take notice of the date any particular guideline was adopted and to consider other relevant medical and scientific information that becomes available after that date. It also would be prudent to consider whether intellectual property interests may restrict the performance of certain tests and other procedures.The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants.1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next-generation sequencing. By adopting and leveraging next-generation sequencing, clinical laboratories are now performing an ever-increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes, and epigenetic assays for genetic disorders. By virtue of increased complexity, this shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context the ACMG convened a workgroup in 2013 comprising representatives from the ACMG, the Association for Molecular Pathology (AMP), and the College of American Pathologists to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP, and College of American Pathologists stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories, including genotyping, single genes, panels, exomes, and genomes. This report recommends the use of specific standard terminology—“pathogenic,” “likely pathogenic,” “uncertain significance,” “likely benign,” and “benign”—to describe variants identified in genes that cause Mendelian disorders. Moreover, this recommendation describes a process for classifying variants into these five categories based on criteria using typical types of variant evidence (e.g., population data, computational data, functional data, segregation data). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a Clinical Laboratory Improvement Amendments–approved laboratory, with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or the equivalent.Genet Med 17 5, 405–423.


The Journal of Molecular Diagnostics | 2012

Opportunities and challenges associated with clinical diagnostic genome sequencing: a report of the Association for Molecular Pathology.

Iris Schrijver; Nazneen Aziz; Daniel H. Farkas; Manohar R. Furtado; Andrea Ferreira Gonzalez; Timothy C. Greiner; Wayne W. Grody; Tina Hambuch; Lisa Kalman; Jeffrey A. Kant; Roger D. Klein; Debra G. B. Leonard; Ira M. Lubin; Rong Mao; Narasimhan Nagan; Victoria M. Pratt; Mark E. Sobel; Karl V. Voelkerding; Jane S. Gibson

This report of the Whole Genome Analysis group of the Association for Molecular Pathology illuminates the opportunities and challenges associated with clinical diagnostic genome sequencing. With the reality of clinical application of next-generation sequencing, technical aspects of molecular testing can be accomplished at greater speed and with higher volume, while much information is obtained. Although this testing is a next logical step for molecular pathology laboratories, the potential impact on the diagnostic process and clinical correlations is extraordinary and clinical interpretation will be challenging. We review the rapidly evolving technologies; provide application examples; discuss aspects of clinical utility, ethics, and consent; and address the analytic, postanalytic, and professional implications.


Nature Biotechnology | 2015

Good laboratory practice for clinical next-generation sequencing informatics pipelines

Amy S. Gargis; Lisa Kalman; David P. Bick; Cristina da Silva; David Dimmock; Birgit Funke; Sivakumar Gowrisankar; Madhuri Hegde; Shashikant Kulkarni; Christopher E. Mason; Rakesh Nagarajan; Karl V. Voelkerding; Elizabeth A. Worthey; Nazneen Aziz; John Barnes; Sarah F. Bennett; Himani Bisht; Deanna M. Church; Zoya Dimitrova; Shaw R. Gargis; Nabil Hafez; Tina Hambuch; Fiona Hyland; Ruth Ann Luna; Duncan MacCannell; Tobias Mann; Megan R. McCluskey; Timothy K. McDaniel; Lilia Ganova-Raeva; Heidi L. Rehm

Amy S Gargis, Centers for Disease Control & Prevention Lisa Kalman, Centers for Disease Control & Prevention David P Bick, Medical College of Wisconsin Cristina da Silva, Emory University David P Dimmock, Medical College of Wisconsin Birgit H Funke, Partners Healthcare Personalized Medicine Sivakumar Gowrisankar, Partners Healthcare Personalized Medicine Madhuri Hegde, Emory University Shashikant Kulkarni, Washington University Christopher E Mason, Cornell University


The Journal of Molecular Diagnostics | 2014

Methods-Based Proficiency Testing in Molecular Genetic Pathology

Iris Schrijver; Nazneen Aziz; Lawrence J. Jennings; Carolyn Sue Richards; Karl V. Voelkerding; Karen E. Weck

This Perspectives article describes methods-based proficiency testing (MBPT), the benefits and limitations of MBPT, why the time is right for MBPT in molecular diagnostics, and how MBPT for next-generation sequencing is being developed by the College of American Pathologists.


Molecular and Cellular Endocrinology | 2001

Immature ovaries and polycystic kidneys in the congenital polycystic kidney mouse may be due to abnormal sex steroid metabolism

David Woo; Gloria Y. Lee; Everett Anderson; Nazneen Aziz

Ke 6 is a 17beta-hydroxysteroid dehydrogenase (17betaHSD) that is expressed in the kidneys and gonads. The expression of this gene is markedly reduced in three murine models of recessive polycystic kidney disease, a developmental disorder, where some nephrons within the affected kidneys develop into huge fluid-filled cysts while the non-cystic nephrons atrophies by apoptosis. Here, we show that in the cpk/cpk mouse, which have polycystic kidneys, the female reproductive organs also fail to mature properly and remain arrested at an early stage of development. Direct measurement of 17betaHSD activity showed a severe reduction in estrogen and androgen metabolism within gonadal and non-gonadal tissues of the cpk/cpk mouse. Using immunofluorescent staining we localized the expression of the Ke 6 protein within the female mouse reproductive organs. Our findings suggest that estrogen/androgen metabolism may play an important role in the development of the urogenital systems.


The Journal of Molecular Diagnostics | 2017

Principles and Recommendations for Standardizing the Use of the Next-Generation Sequencing Variant File in Clinical Settings

Ira M. Lubin; Nazneen Aziz; Lawrence J. Babb; Dennis G. Ballinger; Himani Bisht; Deanna M. Church; Shaun Cordes; Karen Eilbeck; Fiona Hyland; Lisa Kalman; Melissa J. Landrum; Edward R. Lockhart; Donna Maglott; Gabor T. Marth; John D. Pfeifer; Heidi L. Rehm; Somak Roy; Zivana Tezak; Rebecca Truty; Mollie Ullman-Cullere; Karl V. Voelkerding; Elizabeth A. Worthey; Alexander Wait Zaranek; Justin M. Zook

A national workgroup convened by the Centers for Disease Control and Prevention identified principles and made recommendations for standardizing the description of sequence data contained within the variant file generated during the course of clinical next-generation sequence analysis for diagnosing human heritable conditions. The specifications for variant files were initially developed to be flexible with regard to content representation to support a variety of research applications. This flexibility permits variation with regard to how sequence findings are described and this depends, in part, on the conventions used. For clinical laboratory testing, this poses a problem because these differences can compromise the capability to compare sequence findings among laboratories to confirm results and to query databases to identify clinically relevant variants. To provide for a more consistent representation of sequence findings described within variant files, the workgroup made several recommendations that considered alignment to a common reference sequence, variant caller settings, use of genomic coordinates, and gene and variant naming conventions. These recommendations were considered with regard to the existing variant file specifications presently used in the clinical setting. Adoption of these recommendations is anticipated to reduce the potential for ambiguity in describing sequence findings and facilitate the sharing of genomic data among clinical laboratories and other entities.


PLOS Medicine | 2018

A collaborative translational research framework for evaluating and implementing the appropriate use of human genome sequencing to improve health

Muin J. Khoury; W. Gregory Feero; David A. Chambers; Lawrence C. Brody; Nazneen Aziz; Robert C. Green; A. Cecile J. W. Janssens; Michael F. Murray; Laura Lyman Rodriguez; Joni L. Rutter; Sheri D. Schully; Deborah M. Winn; George A. Mensah

In a Policy Forum, Muin Khoury and colleagues discuss research on the clinical application of genome sequencing data.


Archives of Pathology & Laboratory Medicine | 2015

College of American Pathologists' Laboratory Standards for Next-Generation Sequencing Clinical Tests

Nazneen Aziz; Qin Zhao; Lynn Bry; Denise K. Driscoll; Birgit Funke; Jane S. Gibson; Wayne W. Grody; Madhuri Hegde; Gerald A. Hoeltge; Debra G. B. Leonard; Jason D. Merker; Rakesh Nagarajan; Linda A. Palicki; Ryan S. Robetorye; Iris Schrijver; Karen E. Weck; Karl V. Voelkerding


Endocrinology | 1996

Aberrant 11beta-hydroxysteroid dehydrogenase-1 activity in the cpk mouse: implications for regulation by the Ke 6 gene.

Nazneen Aziz; Dennis Brown; Wen Sen Lee; Aniko Naray-Fejes-Toth


Genetics in Medicine | 2018

Response to Biesecker and Harrison

C. Sue Richards; Nazneen Aziz; Sherri J. Bale; David P. Bick; Soma Das; Julie M. Gastier-Foster; Wayne W. Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl V. Voelkerding; Heidi L. Rehm

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Wayne W. Grody

University of California

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Lisa Kalman

Centers for Disease Control and Prevention

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David P. Bick

Medical College of Wisconsin

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Ira M. Lubin

Centers for Disease Control and Prevention

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Jane S. Gibson

University of Central Florida

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