Laura M. Amendola
University of Washington
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Featured researches published by Laura M. Amendola.
Genome Research | 2015
Laura M. Amendola; Michael O. Dorschner; Peggy D. Robertson; Joseph Salama; Ragan Hart; Brian H. Shirts; Mitzi L. Murray; Mari J. Tokita; Carlos J. Gallego; Daniel Seung Kim; James Bennett; David R. Crosslin; Jane Ranchalis; Kelly L. Jones; Elisabeth A. Rosenthal; Ella R. Jarvik; Andy Itsara; Emily H. Turner; Daniel S. Herman; Jennifer Schleit; Amber A. Burt; Seema M. Jamal; Jenica L. Abrudan; Andrew D. Johnson; Laura K. Conlin; Matthew C. Dulik; Avni Santani; Danielle R. Metterville; Melissa A. Kelly; Ann Katherine M. Foreman
Recommendations for laboratories to report incidental findings from genomic tests have stimulated interest in such results. In order to investigate the criteria and processes for assigning the pathogenicity of specific variants and to estimate the frequency of such incidental findings in patients of European and African ancestry, we classified potentially actionable pathogenic single-nucleotide variants (SNVs) in all 4300 European- and 2203 African-ancestry participants sequenced by the NHLBI Exome Sequencing Project (ESP). We considered 112 gene-disease pairs selected by an expert panel as associated with medically actionable genetic disorders that may be undiagnosed in adults. The resulting classifications were compared to classifications from other clinical and research genetic testing laboratories, as well as with in silico pathogenicity scores. Among European-ancestry participants, 30 of 4300 (0.7%) had a pathogenic SNV and six (0.1%) had a disruptive variant that was expected to be pathogenic, whereas 52 (1.2%) had likely pathogenic SNVs. For African-ancestry participants, six of 2203 (0.3%) had a pathogenic SNV and six (0.3%) had an expected pathogenic disruptive variant, whereas 13 (0.6%) had likely pathogenic SNVs. Genomic Evolutionary Rate Profiling mammalian conservation score and the Combined Annotation Dependent Depletion summary score of conservation, substitution, regulation, and other evidence were compared across pathogenicity assignments and appear to have utility in variant classification. This work provides a refined estimate of the burden of adult onset, medically actionable incidental findings expected from exome sequencing, highlights challenges in variant classification, and demonstrates the need for a better curated variant interpretation knowledge base.
American Journal of Human Genetics | 2016
Laura M. Amendola; Gail P. Jarvik; Michael C. Leo; Heather M. McLaughlin; Yassmine Akkari; Michelle D. Amaral; Jonathan S. Berg; Sawona Biswas; Kevin M. Bowling; Laura K. Conlin; Greg M. Cooper; Michael O. Dorschner; Matthew C. Dulik; Arezou A. Ghazani; Rajarshi Ghosh; Robert C. Green; Ragan Hart; Carrie Horton; Jennifer J. Johnston; Matthew S. Lebo; Aleksandar Milosavljevic; Jeffrey Ou; Christine M. Pak; Ronak Y. Patel; Sumit Punj; Carolyn Sue Richards; Joseph Salama; Natasha T. Strande; Yaping Yang; Sharon E. Plon
Evaluating the pathogenicity of a variant is challenging given the plethora of types of genetic evidence that laboratories consider. Deciding how to weigh each type of evidence is difficult, and standards have been needed. In 2015, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published guidelines for the assessment of variants in genes associated with Mendelian diseases. Nine molecular diagnostic laboratories involved in the Clinical Sequencing Exploratory Research (CSER) consortium piloted these guidelines on 99 variants spanning all categories (pathogenic, likely pathogenic, uncertain significance, likely benign, and benign). Nine variants were distributed to all laboratories, and the remaining 90 were evaluated by three laboratories. The laboratories classified each variant by using both the laboratorys own method and the ACMG-AMP criteria. The agreement between the two methods used within laboratories was high (K-alpha = 0.91) with 79% concordance. However, there was only 34% concordance for either classification system across laboratories. After consensus discussions and detailed review of the ACMG-AMP criteria, concordance increased to 71%. Causes of initial discordance in ACMG-AMP classifications were identified, and recommendations on clarification and increased specification of the ACMG-AMP criteria were made. In summary, although an initial pilot of the ACMG-AMP guidelines did not lead to increased concordance in variant interpretation, comparing variant interpretations to identify differences and having a common framework to facilitate resolution of those differences were beneficial for improving agreement, allowing iterative movement toward increased reporting consistency for variants in genes associated with monogenic disease.
Genetics in Medicine | 2013
Jonathan S. Berg; Laura M. Amendola; Christine M. Eng; Eliezer M. Van Allen; Stacy W. Gray; Nikhil Wagle; Heidi L. Rehm; Elizabeth T. DeChene; Matthew C. Dulik; Fuki M. Hisama; Wylie Burke; Nancy B. Spinner; Levi A. Garraway; Robert C. Green; Sharon E. Plon; James P. Evans; Gail P. Jarvik
As genomic and exomic testing expands in both the research and clinical arenas, determining whether, how, and which incidental findings to return to the ordering clinician and patient becomes increasingly important. Although opinion is varied on what should be returned to consenting patients or research participants, most experts agree that return of medically actionable results should be considered. There is insufficient evidence to fully inform evidence-based clinical practice guidelines regarding return of results from genome-scale sequencing, and thus generation of such evidence is imperative, given the rapidity with which genome-scale diagnostic tests are being incorporated into clinical care. We present an overview of the approaches to incidental findings by members of the Clinical Sequencing Exploratory Research network, funded by the National Human Genome Research Institute, to generate discussion of these approaches by the clinical genomics community. We also report specific lists of “medically actionable” genes that have been generated by a subset of investigators in order to explore what types of findings have been included or excluded in various contexts. A discussion of the general principles regarding reporting of novel variants, challenging cases (genes for which consensus was difficult to achieve across Clinical Sequencing Exploratory Research network sites), solicitation of preferences from participants regarding return of incidental findings, and the timing and context of return of incidental findings are provided.Genet Med 2013; 15: 860–867Genetics in Medicine (2013); doi:10.1038/gim.2013.133
Journal of Clinical Oncology | 2015
Carlos J. Gallego; Brian H. Shirts; Caroline S. Bennette; Greg Guzauskas; Laura M. Amendola; Martha Horike-Pyne; Fuki M. Hisama; Colin C. Pritchard; William M. Grady; Wylie Burke; Gail P. Jarvik; David L. Veenstra
PURPOSE To evaluate the cost effectiveness of next-generation sequencing (NGS) panels for the diagnosis of colorectal cancer and polyposis (CRCP) syndromes in patients referred to cancer genetics clinics. PATIENTS AND METHODS We developed a decision model to evaluate NGS panel testing compared with current standard of care in patients referred to a cancer genetics clinic. We obtained data on the prevalence of genetic variants from a large academic laboratory and calculated the costs and health benefits of identifying relatives with a pathogenic variant, in life-years and quality-adjusted life-years (QALYs). We classified the CRCP syndromes according to their type of inheritance and penetrance of colorectal cancer. One-way and probabilistic sensitivity analyses were conducted to assess uncertainty. RESULTS Evaluation with an NGS panel that included Lynch syndrome genes and other genes associated with highly penetrant CRCP syndromes led to an average increase of 0.151 year of life, 0.128 QALY, and
Genetics in Medicine | 2013
Peter Tarczy-Hornoch; Laura M. Amendola; Samuel J. Aronson; Levi A. Garraway; Stacy W. Gray; Robert W. Grundmeier; Lucia A. Hindorff; Gail P. Jarvik; Dean Karavite; Matthew S. Lebo; Sharon E. Plon; Eliezer M. Van Allen; Karen E. Weck; Peter S. White; Yaping Yang
4,650 per patient, resulting in an incremental cost-effectiveness ratio of
Genetics in Medicine | 2013
Caroline S. Bennette; Susan Brown Trinidad; Stephanie M. Fullerton; Donald L. Patrick; Laura M. Amendola; Wylie Burke; Fuki M. Hisama; Gail P. Jarvik; Dean A. Regier; David L. Veenstra
36,500 per QALY compared with standard care and a 99% probability that this panel was cost effective at a threshold of
Neurology | 2015
Dong Hui Chen; Aurélie Méneret; Jennifer Friedman; Olena Korvatska; Alona Gad; Emily Bonkowski; Holly A.F. Stessman; Diane Doummar; Cyril Mignot; Mathieu Anheim; Saunder Bernes; Marie Y. Davis; Nathalie Damon-Perrière; Bertrand Degos; David Grabli; Domitille Gras; Fuki M. Hisama; Katherine Mackenzie; Phillip D. Swanson; Christine Tranchant; Marie Vidailhet; Steven Winesett; Oriane Trouillard; Laura M. Amendola; Michael O. Dorschner; Michael D. Weiss; Evan E. Eichler; Ali Torkamani; Emmanuel Roze; Bird Td
100,000 per QALY. When compared with this panel, the addition of genes with low colorectal cancer penetrance resulted in an incremental cost-effectiveness ratio of
American Journal of Medical Genetics Part C-seminars in Medical Genetics | 2014
Michael O. Dorschner; Laura M. Amendola; Brian H. Shirts; Lesli Kiedrowski; Joseph Salama; Adam S. Gordon; Stephanie M. Fullerton; Peter Tarczy-Hornoch; Peter H. Byers; Gail P. Jarvik
77,300 per QALY. CONCLUSION The use of an NGS panel that includes genes associated with highly penetrant CRCP syndromes in addition to Lynch syndrome genes as a first-line test is likely to provide meaningful clinical benefits in a cost-effective manner at a
American Journal of Human Genetics | 2016
Laura M. Amendola; Gail P. Jarvik; Michael C. Leo; Heather M. McLaughlin; Yassmine Akkari; Michelle D. Amaral; Jonathan S. Berg; Sawona Biswas; Kevin M. Bowling; Laura K. Conlin; Greg M. Cooper; Michael O. Dorschner; Matthew C. Dulik; Arezou A. Ghazani; Rajarshi Ghosh; Robert C. Green; Ragan Hart; Carrie Horton; Jennifer J. Johnston; Matthew S. Lebo; Aleksandar Milosavljevic; Jeffrey Ou; Christine M. Pak; Ronak Y. Patel; Sumit Punj; Carolyn Sue Richards; Joseph Salama; Natasha T. Strande; Yaping Yang; Sharon E. Plon
100,000 per QALY threshold.
Genetics in Medicine | 2017
Julianne M. O’Daniel; Heather M. McLaughlin; Laura M. Amendola; Sherri J. Bale; Jonathan S. Berg; David P. Bick; Kevin M. Bowling; Elizabeth C. Chao; Wendy K. Chung; Laura K. Conlin; Gregory M. Cooper; Soma Das; Joshua L. Deignan; Michael O. Dorschner; James P. Evans; Arezou A. Ghazani; Katrina A.B. Goddard; Michele C. Gornick; Kelly D. Farwell Hagman; Tina Hambuch; Madhuri Hegde; Lucia A. Hindorff; Ingrid A. Holm; Gail P. Jarvik; Amy Knight Johnson; Lindsey Mighion; Massimo Morra; Sharon E. Plon; Sumit Punj; C. Sue Richards
Purpose:Genome-scale clinical sequencing is being adopted more broadly in medical practice. The National Institutes of Health developed the Clinical Sequencing Exploratory Research (CSER) program to guide implementation and dissemination of best practices for the integration of sequencing into clinical care. This study describes and compares the state of the art of incorporating whole-exome and whole-genome sequencing results into the electronic health record, including approaches to decision support across the six current CSER sites.Methods:The CSER Medical Record Working Group collaboratively developed and completed an in-depth survey to assess the communication of genome-scale data into the electronic health record. We summarized commonalities and divergent approaches.Results:Despite common sequencing platform (Illumina) adoptions, there is a great diversity of approaches to annotation tools and workflow, as well as to report generation. At all sites, reports are human-readable structured documents available as passive decision support in the electronic health record. Active decision support is in early implementation at two sites.Conclusion:The parallel efforts across CSER sites in the creation of systems for report generation and integration of reports into the electronic health record, as well as the lack of standardized approaches to interfacing with variant databases to create active clinical decision support, create opportunities for cross-site and vendor collaborations.Genet Med 15 10, 824–832.Genetics in Medicine (2013); 15 10, 824–832. doi:10.1038/gim.2013.120