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https://www.readbyqxmd.com/read/28108316/crispr-cas9-in-insects-applications-best-practices-and-biosafety-concerns
#1
REVIEW
Clauvis Nji Tizi Taning, Benigna Van Eynde, Na Yu, Sanyuan Ma, Guy Smagghe
Discovered as a bacterial adaptive immune system, CRISPR/Cas9 (clustered, regularly interspaced, short palindromic repeat/CRISPR associated) is being developed as an attractive tool in genome editing. Due to its high specificity and applicability, CRISPR/Cas9-mediated gene editing has been employed in a multitude of organisms and cells, including insects, for not only fundamental research such as gene function studies, but also applied research such as modification of organisms of economic importance. Despite the rapid increase in the use of CRISPR in insect genome editing, results still differ from each study, principally due to existing differences in experimental parameters, such as the Cas9 and guide RNA form, the delivery method, the target gene and off-target effects...
January 17, 2017: Journal of Insect Physiology
https://www.readbyqxmd.com/read/28107530/broad-scale-genetic-diversity-of-cannabis-for-forensic-applications
#2
Christophe Dufresnes, Catherine Jan, Friederike Bienert, Jérôme Goudet, Luca Fumagalli
Cannabis (hemp and marijuana) is an iconic yet controversial crop. On the one hand, it represents a growing market for pharmaceutical and agricultural sectors. On the other hand, plants synthesizing the psychoactive THC produce the most widespread illicit drug in the world. Yet, the difficulty to reliably distinguish between Cannabis varieties based on morphological or biochemical criteria impedes the development of promising industrial programs and hinders the fight against narcotrafficking. Genetics offers an appropriate alternative to characterize drug vs...
2017: PloS One
https://www.readbyqxmd.com/read/28107338/apply-resources-to-practice-use-current-genetics-and-genomics-content-in-oncology
#3
Suzanne M Mahon
Genetic and genomic science directly affects oncology nursing care. Many resources are available to enable oncology nurses to better understand and deliver competent genomic care to patients and families. This article relays resources for germline genetic testing, tumor profiling, pharmacogenomics, and nursing education.
February 1, 2017: Clinical Journal of Oncology Nursing
https://www.readbyqxmd.com/read/28106593/genetic-and-genomic-competencies-for-nursing-informatics-internationally
#4
Kathleen A Mc Cormick, Kathleen A Calzone
The majority of health professionals now have genetic and genomic competencies and some are measured by certification standards. Nursing has a proud history of defining roles for nursing in informatics and genetics. In addition, the nursing professional organization, the American Nurses Association, has a Certification Center that has successfully achieved ISO 9001:2008 certification in the design, development, and delivery of global credentialing services which encompasses certification of advanced practice nurses in genetics...
2017: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/28106333/translating-precision
#5
EDITORIAL
Michael A Pacanowski
Precision medicine is based on a simple precept that deep information about an individual patient can be used to guide his or her health care. In the not-too-distant future, clinicians may have point-of-care access to an individual's entire genome, dense data captured from wearable devices, and informatics tools that aggregate data from clinical experience to allow for real-time decision support. The innovative technologies being developed in pursuit of precision medicine afford researchers and clinicians the opportunity to generate and consume information at an unprecedented scale...
January 20, 2017: Clinical and Translational Science
https://www.readbyqxmd.com/read/28105974/baseline-practices-for-the-application-of-genomic-data-supporting-regulatory-food-safety
#6
Dominic Lambert, Arthur Pightling, Emma Griffiths, Gary Van Domselaar, Peter Evans, Sharon Berthelet, Duncan Craig, P Scott Chandry, Robert Stones, Fiona Brinkman, Alexandre Angers-Loustau, Joachim Kreysa, Weida Tong, Burton Blais
The application of new data streams generated from next-generation sequencing (NGS) has been demonstrated for food microbiology, pathogen identification, and illness outbreak detection. The establishment of best practices for data integrity, reproducibility, and traceability will ensure reliable, auditable, and transparent processes underlying food microbiology risk management decisions. We outline general principles to guide the use of NGS data in support of microbiological food safety. Regulatory authorities across intra- and international jurisdictions can leverage this effort to promote the reliability, consistency, and transparency of processes used in the derivation of genomic information for regulatory food safety purposes, and to facilitate interactions and the transfer of information in the interest of public health...
January 19, 2017: Journal of AOAC International
https://www.readbyqxmd.com/read/28105911/integrating-gene-set-analysis-and-nonlinear-predictive-modeling-of-disease-phenotypes-using-a-bayesian-multitask-formulation
#7
Mehmet Gönen
BACKGROUND: Identifying molecular signatures of disease phenotypes is studied using two mainstream approaches: (i) Predictive modeling methods such as linear classification and regression algorithms are used to find signatures predictive of phenotypes from genomic data, which may not be robust due to limited sample size or highly correlated nature of genomic data. (ii) Gene set analysis methods are used to find gene sets on which phenotypes are linearly dependent by bringing prior biological knowledge into the analysis, which may not capture more complex nonlinear dependencies...
December 13, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28104717/clinical-targeted-exome-based-sequencing-in-combination-with-genome-wide-copy-number-profiling-precision-medicine-analysis-of-203-pediatric-brain-tumors
#8
Shakti H Ramkissoon, Pratiti Bandopadhayay, Jaeho Hwang, Lori A Ramkissoon, Noah F Greenwald, Steven E Schumacher, Ryan O'Rourke, Nathan Pinches, Patricia Ho, Hayley Malkin, Claire Sinai, Mariella Filbin, Ashley Plant, Wenya Linda Bi, Michael S Chang, Edward Yang, Karen D Wright, Peter E Manley, Matthew Ducar, Sanda Alexandrescu, Hart Lidov, Ivana Delalle, Liliana C Goumnerova, Alanna J Church, Katherine A Janeway, Marian H Harris, Laura E MacConaill, Rebecca D Folkerth, Neal I Lindeman, Charles D Stiles, Mark W Kieran, Azra H Ligon, Sandro Santagata, Adrian M Dubuc, Susan N Chi, Rameen Beroukhim, Keith L Ligon
BACKGROUND: Clinical genomics platforms are needed to identify targetable alterations, but implementation of these technologies and best practices in routine clinical pediatric oncology practice are not yet well established. METHODS: Profile is an institution-wide prospective clinical research initiative that uses targeted sequencing to identify targetable alterations in tumors. OncoPanel, a multiplexed targeted exome-sequencing platform that includes 300 cancer-causing genes, was used to assess single nucleotide variants and rearrangements/indels...
January 19, 2017: Neuro-oncology
https://www.readbyqxmd.com/read/28104537/correlation-between-classic-driver-oncogene-mutations-in-egfr-alk-or-ros1-and-22c3-pd-l1-%C3%A2-50-expression-in-lung-adenocarcinoma
#9
Deepa Rangachari, Paul A VanderLaan, Meghan Shea, Xiuning Le, Mark S Huberman, Susumu S Kobayashi, Daniel B Costa
INTRODUCTION: Targeted somatic genomic analysis (EGFR, ALK and ROS1) and PD-L1 tumor proportion score (TPS) by immunohistochemistry (IHC) are used for selection of 1(st)-line therapies in advanced lung cancer; however, the frequency of overlap of these biomarkers in routine clinical practice is poorly reported. METHODS: We retrospectively probed the first 71 lung adenocarcinoma-patient pairs from our institution analyzed for PD-L1 IHC using the clone 22C3 pharmDx kit and evaluated co-occurrence of genomic aberrations along with clinical-pathologic characteristics...
January 16, 2017: Journal of Thoracic Oncology
https://www.readbyqxmd.com/read/28102863/a-taxonomy-of-medical-uncertainties-in-clinical-genome-sequencing
#10
Paul K J Han, Kendall L Umstead, Barbara A Bernhardt, Robert C Green, Steven Joffe, Barbara Koenig, Ian Krantz, Leo B Waterston, Leslie G Biesecker, Barbara B Biesecker
PURPOSE: Clinical next-generation sequencing (CNGS) is introducing new opportunities and challenges into the practice of medicine. Simultaneously, these technologies are generating uncertainties of an unprecedented scale that laboratories, clinicians, and patients are required to address and manage. We describe in this report the conceptual design of a new taxonomy of uncertainties around the use of CNGS in health care. METHODS: Interviews to delineate the dimensions of uncertainty in CNGS were conducted with genomics experts and themes were extracted in order to expand on a previously published three-dimensional taxonomy of medical uncertainty...
January 19, 2017: Genetics in Medicine: Official Journal of the American College of Medical Genetics
https://www.readbyqxmd.com/read/28102005/blind-prediction-of-deleterious-amino-acid-variations-with-snps-go
#11
Emidio Capriotti, Pier Luigi Martelli, Piero Fariselli, Rita Casadio
: SNPs&GO is a machine learning method for predicting the association of single amino acid variations (SAVs) to disease, considering protein functional annotation. The method is a binary classifier that implements a Support Vector Machine algorithm to discriminate between disease-related and neutral SAVs. SNPs&GO combines information from protein sequence with functional annotation encoded by Gene Ontology terms. Tested in sequence mode on more than 38,000 SAVs from the SwissVar dataset, our method reached 81% overall accuracy and an area under the receiving operating characteristic curve (AUC) of 0...
January 19, 2017: Human Mutation
https://www.readbyqxmd.com/read/28100040/induced-pluripotent-stem-cell-research-in-the-era-of-precision-medicine
#12
Takashi Hamazaki, Nihal El Rouby, Natalie C Fredette, Katherine E Santostefano, Naohiro Terada
Recent advances in DNA sequencing technologies are revealing how human genetic variations associate with differential health risks, disease susceptibilities and drug responses. Such information is now expected to help evaluate individual health risks, design personalized health plans and treat patients with precision. It is still challenging, however, to understand how such genetic variations cause the phenotypic alterations in pathobiologies and treatment response. Human induced pluripotent stem cell (iPSC) technologies are emerging as a promising strategy to fill the knowledge gaps between genetic association studies and underlying molecular mechanisms...
January 18, 2017: Stem Cells
https://www.readbyqxmd.com/read/28099355/hereditary-spastic-paraplegia-due-to-a-novel-mutation-of-the-reep1-gene-case-report-and-literature-review
#13
Sébastien Richard, Julie Lavie, Guillaume Banneau, Nathalie Voirand, Karine Lavandier, Marc Debouverie
RATIONALE: Hereditary spastic paraplegia (HSP) is a heterogeneous group of diseases little known in clinical practice due to its low prevalence, slow progression, and difficult diagnosis. This results in an underestimation of HSP leading to belated diagnosis and management. In depth diagnosis is based on clinical presentation and identification of genomic mutations. We describe the clinical presentation and pathogeny of HSP through a report of a case due to a novel mutation of the REEP1 gene (SPG31)...
January 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28098205/reliable-and-efficient-solution-of-genome-scale-models-of-metabolism-and-macromolecular-expression
#14
Ding Ma, Laurence Yang, Ronan M T Fleming, Ines Thiele, Bernhard O Palsson, Michael A Saunders
Constraint-Based Reconstruction and Analysis (COBRA) is currently the only methodology that permits integrated modeling of Metabolism and macromolecular Expression (ME) at genome-scale. Linear optimization computes steady-state flux solutions to ME models, but flux values are spread over many orders of magnitude. Data values also have greatly varying magnitudes. Standard double-precision solvers may return inaccurate solutions or report that no solution exists. Exact simplex solvers based on rational arithmetic require a near-optimal warm start to be practical on large problems (current ME models have 70,000 constraints and variables and will grow larger)...
January 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28096516/newborn-sequencing-in-genomic-medicine-and-public-health
#15
Jonathan S Berg, Pankaj B Agrawal, Donald B Bailey, Alan H Beggs, Steven E Brenner, Amy M Brower, Julie A Cakici, Ozge Ceyhan-Birsoy, Kee Chan, Flavia Chen, Robert J Currier, Dmitry Dukhovny, Robert C Green, Julie Harris-Wai, Ingrid A Holm, Brenda Iglesias, Galen Joseph, Stephen F Kingsmore, Barbara A Koenig, Pui-Yan Kwok, John Lantos, Steven J Leeder, Megan A Lewis, Amy L McGuire, Laura V Milko, Sean D Mooney, Richard B Parad, Stacey Pereira, Joshua Petrikin, Bradford C Powell, Cynthia M Powell, Jennifer M Puck, Heidi L Rehm, Neil Risch, Myra Roche, Joseph T Shieh, Narayanan Veeraraghavan, Michael S Watson, Laurel Willig, Timothy W Yu, Tiina Urv, Anastasia L Wise
The rapid development of genomic sequencing technologies has decreased the cost of genetic analysis to the extent that it seems plausible that genome-scale sequencing could have widespread availability in pediatric care. Genomic sequencing provides a powerful diagnostic modality for patients who manifest symptoms of monogenic disease and an opportunity to detect health conditions before their development. However, many technical, clinical, ethical, and societal challenges should be addressed before such technology is widely deployed in pediatric practice...
January 17, 2017: Pediatrics
https://www.readbyqxmd.com/read/28095776/genetic-and-economic-benefits-of-selection-based-on-performance-recording-and-genotyping-in-lower-tiers-of-multi-tiered-sheep-breeding-schemes
#16
Bruno F S Santos, Julius H J van der Werf, John P Gibson, Timothy J Byrne, Peter R Amer
BACKGROUND: Performance recording and genotyping in the multiplier tier of multi-tiered sheep breeding schemes could potentially reduce the difference in the average genetic merit between nucleus and commercial flocks, and create additional economic benefits for the breeding structure. METHODS: The genetic change in a multiple-trait breeding objective was predicted for various selection strategies that included performance recording, parentage testing and genomic selection...
January 17, 2017: Genetics, Selection, Evolution: GSE
https://www.readbyqxmd.com/read/28095174/medical-oncologists-experiences-in-using-genomic-testing-for-lung-and-colorectal-cancer-care
#17
Stacy W Gray, Benjamin Kim, Lynette Sholl, Angel Cronin, Aparna R Parikh, Carrie N Klabunde, Katherine L Kahn, David A Haggstrom, Nancy L Keating
PURPOSE: Genomic testing improves outcomes for many at-risk individuals and patients with cancer; however, little is known about how genomic testing for non-small-cell lung cancer (NSCLC) and colorectal cancer (CRC) is used in clinical practice. PATIENTS AND METHODS: In 2012 to 2013, we surveyed medical oncologists who care for patients in diverse practice and health care settings across the United States about their use of guideline- and non-guideline-endorsed genetic tests...
January 17, 2017: Journal of Oncology Practice
https://www.readbyqxmd.com/read/28094908/improving-utilization-of-the-family-history-in-the-electronic-health-record
#18
Kathleen T Hickey, Maria C Katapodi, Bernice Coleman, Karin Reuter-Rice, Angela R Starkweather
PURPOSE: The purpose of this article is to provide an overview of Family History in the Electronic Health Record and to identify opportunities to advance the contributions of nurses in obtaining, updating and assessing family history in order to improve the health of all individuals and populations. ORGANIZING CONSTRUCT: The article presents an overview of the obstacles to charting Family History within the Electronic Health Record and recommendations for using specific Family History tools and core Family History data sets...
January 2017: Journal of Nursing Scholarship
https://www.readbyqxmd.com/read/28092683/case-control-association-mapping-by-proxy-using-family-history-of-disease
#19
Jimmy Z Liu, Yaniv Erlich, Joseph K Pickrell
Collecting cases for case-control genetic association studies can be time-consuming and expensive. In some situations (such as studies of late-onset or rapidly lethal diseases), it may be more practical to identify family members of cases. In randomly ascertained cohorts, replacing cases with their first-degree relatives enables studies of diseases that are absent (or nearly absent) in the cohort. We refer to this approach as genome-wide association study by proxy (GWAX) and apply it to 12 common diseases in 116,196 individuals from the UK Biobank...
January 16, 2017: Nature Genetics
https://www.readbyqxmd.com/read/28092471/genomics-pipelines-and-data-integration-challenges-and-opportunities-in-the-research-setting
#20
Jeremy Davis-Turak, Sean M Courtney, E Starr Hazard, W Bailey Glen, Willian da Silveira, Timothy Wesselman, Larry P Harbin, Bethany J Wolf, Dongjun Chung, Gary Hardiman
The emergence and mass utilization of high-throughput (HT) technologies, including sequencing technologies (genomics) and mass spectrometry (proteomics, metabolomics, lipids), has allowed geneticists, biologists, and biostatisticians to bridge the gap between genotype and phenotype on a massive scale. These new technologies have brought rapid advances in our understanding of cell biology, evolutionary history, microbial environments, and are increasingly providing new insights and applications towards clinical care and personalized medicine...
January 16, 2017: Expert Review of Molecular Diagnostics
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