scispace - formally typeset
Search or ask a question
Author

Kelly E. Ormond

Other affiliations: University of Pennsylvania, ETH Zurich, University of Vermont  ...read more
Bio: Kelly E. Ormond is an academic researcher from Stanford University. The author has contributed to research in topics: Genetic counseling & Genetic testing. The author has an hindex of 36, co-authored 118 publications receiving 8463 citations. Previous affiliations of Kelly E. Ormond include University of Pennsylvania & ETH Zurich.


Papers
More filters
Journal ArticleDOI
TL;DR: It is recommended that laboratories performing clinical sequencing seek and report mutations of the specified classes or types in the genes listed here and encourage the creation of an ongoing process for updating these recommendations at least annually as further data are collected.

2,215 citations

Journal ArticleDOI
TL;DR: This statement represents current opinion by the ASHG on the ethical, legal, and social issues concerning genetic testing in children and a broad range of test technologies and their applications in clinical medicine and research.
Abstract: In 1995, the American Society of Human Genetics (ASHG) and American College of Medical Genetics and Genomics (ACMG) jointly published a statement on genetic testing in children and adolescents. In the past 20 years, much has changed in the field of genetics, including the development of powerful new technologies, new data from genetic research on children and adolescents, and substantial clinical experience. This statement represents current opinion by the ASHG on the ethical, legal, and social issues concerning genetic testing in children. These recommendations are relevant to families, clinicians, and investigators. After a brief review of the 1995 statement and major changes in genetic technologies in recent years, this statement offers points to consider on a broad range of test technologies and their applications in clinical medicine and research. Recommendations are also made for record and communication issues in this domain and for professional education.

693 citations

Journal ArticleDOI
12 Mar 2014-JAMA
TL;DR: The use of WGS was associated with incomplete coverage of inherited disease genes, low reproducibility of detection of genetic variation with the highest potential clinical effects, and uncertainty about clinically reportable findings.
Abstract: Importance Whole-genome sequencing (WGS) is increasingly applied in clinical medicine and is expected to uncover clinically significant findings regardless of sequencing indication. Objectives To examine coverage and concordance of clinically relevant genetic variation provided by WGS technologies; to quantitate inherited disease risk and pharmacogenomic findings in WGS data and resources required for their discovery and interpretation; and to evaluate clinical action prompted by WGS findings. Design, Setting, and Participants An exploratory study of 12 adult participants recruited at Stanford University Medical Center who underwent WGS between November 2011 and March 2012. A multidisciplinary team reviewed all potentially reportable genetic findings. Five physicians proposed initial clinical follow-up based on the genetic findings. Main Outcomes and Measures Genome coverage and sequencing platform concordance in different categories of genetic disease risk, person-hours spent curating candidate disease-risk variants, interpretation agreement between trained curators and disease genetics databases, burden of inherited disease risk and pharmacogenomic findings, and burden and interrater agreement of proposed clinical follow-up. Results Depending on sequencing platform, 10% to 19% of inherited disease genes were not covered to accepted standards for single nucleotide variant discovery. Genotype concordance was high for previously described single nucleotide genetic variants (99%-100%) but low for small insertion/deletion variants (53%-59%). Curation of 90 to 127 genetic variants in each participant required a median of 54 minutes (range, 5-223 minutes) per genetic variant, resulted in moderate classification agreement between professionals (Gross κ, 0.52; 95% CI, 0.40-0.64), and reclassified 69% of genetic variants cataloged as disease causing in mutation databases to variants of uncertain or lesser significance. Two to 6 personal disease-risk findings were discovered in each participant, including 1 frameshift deletion in the BRCA1 gene implicated in hereditary breast and ovarian cancer. Physician review of sequencing findings prompted consideration of a median of 1 to 3 initial diagnostic tests and referrals per participant, with fair interrater agreement about the suitability of WGS findings for clinical follow-up (Fleiss κ, 0.24; P Conclusions and Relevance In this exploratory study of 12 volunteer adults, the use of WGS was associated with incomplete coverage of inherited disease genes, low reproducibility of detection of genetic variation with the highest potential clinical effects, and uncertainty about clinically reportable findings. In certain cases, WGS will identify clinically actionable genetic variants warranting early medical intervention. These issues should be considered when determining the role of WGS in clinical medicine.

413 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: Reading a book as this basics of qualitative research grounded theory procedures and techniques and other references can enrich your life quality.

13,415 citations

Journal ArticleDOI
Kristin G. Ardlie, David S. DeLuca, Ayellet V. Segrè, Timothy J. Sullivan, Taylor Young, Ellen Gelfand, Casandra A. Trowbridge, Julian Maller, Taru Tukiainen, Monkol Lek, Lucas D. Ward, Pouya Kheradpour, Benjamin Iriarte, Yan Meng, Cameron D. Palmer, Tõnu Esko, Wendy Winckler, Joel N. Hirschhorn, Manolis Kellis, Daniel G. MacArthur, Gad Getz, Andrey A. Shabalin, Gen Li, Yi-Hui Zhou, Andrew B. Nobel, Ivan Rusyn, Fred A. Wright, Tuuli Lappalainen, Pedro G. Ferreira, Halit Ongen, Manuel A. Rivas, Alexis Battle, Sara Mostafavi, Jean Monlong, Michael Sammeth, Marta Melé, Ferran Reverter, Jakob M. Goldmann, Daphne Koller, Roderic Guigó, Mark I. McCarthy, Emmanouil T. Dermitzakis, Eric R. Gamazon, Hae Kyung Im, Anuar Konkashbaev, Dan L. Nicolae, Nancy J. Cox, Timothée Flutre, Xiaoquan Wen, Matthew Stephens, Jonathan K. Pritchard, Zhidong Tu, Bin Zhang, Tao Huang, Quan Long, Luan Lin, Jialiang Yang, Jun Zhu, Jun Liu, Amanda Brown, Bernadette Mestichelli, Denee Tidwell, Edmund Lo, Mike Salvatore, Saboor Shad, Jeffrey A. Thomas, John T. Lonsdale, Michael T. Moser, Bryan Gillard, Ellen Karasik, Kimberly Ramsey, Christopher Choi, Barbara A. Foster, John Syron, Johnell Fleming, Harold Magazine, Rick Hasz, Gary Walters, Jason Bridge, Mark Miklos, Susan L. Sullivan, Laura Barker, Heather M. Traino, Maghboeba Mosavel, Laura A. Siminoff, Dana R. Valley, Daniel C. Rohrer, Scott D. Jewell, Philip A. Branton, Leslie H. Sobin, Mary Barcus, Liqun Qi, Jeffrey McLean, Pushpa Hariharan, Ki Sung Um, Shenpei Wu, David Tabor, Charles Shive, Anna M. Smith, Stephen A. Buia, Anita H. Undale, Karna Robinson, Nancy Roche, Kimberly M. Valentino, Angela Britton, Robin Burges, Debra Bradbury, Kenneth W. Hambright, John Seleski, Greg E. Korzeniewski, Kenyon Erickson, Yvonne Marcus, Jorge Tejada, Mehran Taherian, Chunrong Lu, Margaret J. Basile, Deborah C. Mash, Simona Volpi, Jeffery P. Struewing, Gary F. Temple, Joy T. Boyer, Deborah Colantuoni, Roger Little, Susan E. Koester, Latarsha J. Carithers, Helen M. Moore, Ping Guan, Carolyn C. Compton, Sherilyn Sawyer, Joanne P. Demchok, Jimmie B. Vaught, Chana A. Rabiner, Nicole C. Lockhart 
08 May 2015-Science
TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.
Abstract: Understanding the functional consequences of genetic variation, and how it affects complex human disease and quantitative traits, remains a critical challenge for biomedicine. We present an analysi...

4,418 citations

Journal ArticleDOI
TL;DR: The objective of this study was to establish a baseline level of confidence that the once-in-a-lifetime implantation trial—Reduce Inappropriate Therapy protocol can be trusted to provide safe and effective treatment for cardiac arrhythmia and stroke-like episodes.
Abstract: 2D : two-dimensional 99mTc-DPD : 99mTechnetium-3,3-diphosphono- 1,2-propanodi-carboxylic acid ACE : angiotensin-converting enzyme AF : atrial fibrillation AL : amyloid light chain AR : aortic regurgitation ARB : angiotensin receptor blocker ATTR : amyloidosis-transthyretin type AV : atrioventricular BiVAD : biventricular assist device BNP : brain natriuretic peptide BPM : Beats per minute CCS : Canadian Cardiovascular Society CFC : cardiofacialcutaneous CHA2DS2-VASc : Congestive Heart failure, hypertension, Age ≥75 (doubled), Diabetes, Stroke (doubled), Vascular disease, Age 65–74, and Sex (female) CMR : cardiac magnetic resonance CRT : cardiac resynchronization therapy CRT-D : cardiac resynchronization therapy-defibrillator CRT-P : Cardiac resynchronization therapy with a pacemaker CT : computed tomography DC : direct current DNA : deoxyribonucleic acid E/A : ratio of mitral peak velocity of early filling (E) to mitral peak velocity of late filling (A) E/e’ : ratio of early transmitral flow velocity (E) to early mitral annulus velocity (e’) EACTS : European Association for Cardio-Thoracic Surgery ECG : electrocardiogram EF : ejection fraction EPS : electrophysiological study ESC : European Society of Cardiology FDA : (US) Food and Drug Administration FHL1 : four and a half LIM domains 1 HAS-BLED : hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile INR, elderly (>65 years), drugs/alcohol concomitantly HCM : hypertrophic cardiomyopathy hs-cTnT : high sensitivity cardiac troponin T HTS : high throughput sequencing ICD : implantable cardioverter defibrillator ILR : implantable loop recorder INR : international normalized ratio IUD : intrauterine device LA : left atrium LAMP-2 : lysosome-associated membrane protein 2 LBBB : left bundle branch block LEOPARD : Lentigines, ECG abnormalities, Ocular hypertelorism, Pulmonary stenosis, Abnormal genitalia, Retardation of growth, and sensory-neural Deafness LGE : late gadolinium enhancement LV : left ventricular LVAD : left ventricular assist device LVH : left ventricular hypertrophy LVOTO : left ventricular outlow tract obstruction MADIT-RIT : Multicenter Automatic Defibrillator Implantation Trial—Reduce Inappropriate Therapy MAPK : mitogen activated protein kinase MELAS : mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes MERFF : myoclonic epilepsy with ragged red fibres MRA : mineralocorticoid receptor antagonist MYBPC3 : myosin-binding protein C, cardiac-type MYH7 : myosin-7 (s-myosin heavy chain) MYL3 : myosin light chain 3 NOAC : new oral anticoagulants NSVT : non-sustained ventricular tachycardia NT-proBNP : N-terminal pro brain natriuretic peptide NYHA : New York Heart Association OAC : oral anticoagulants o.d. : omni die (every day) PC-CMR : phase contrast cardiac magnetic resonance PDE5 : phosphodiesterase type 5 PET : positron emission tomography PRKAG2 : gamma-2 sub-unit of the adenosine monophosphate-activated protein kinase RAAS : renin angiotensin aldosterone system RV : right ventricular SAM : systolic anterior motion SCD : sudden cardiac death SAA : septal alcohol ablation S-ICD™ : Subcutaneous lead implantable cardioverter defibrillator SPECT : single photon emission computed tomography SSFP : steady-state free precession SVT : supraventricular tachycardia TOE : transoesophageal echocardiography TNNI3 : troponin I, cardiac muscle TNNT2 : troponin T, cardiac muscle TPM1 : tropomyosin alpha-1 chain TTE : transthoracic echocardiography TTR : transthyretin VF : ventricular fibrillation VKA : vitamin K antagonist VT : ventricular tachycardia WHO : World Health Organization Guidelines summarize and evaluate all available evidence at the time of the writing process, on a particular issue with the aim of assisting health professionals in selecting the best management strategies for an individual patient, with a given condition, taking into account the impact on outcome, as well as the risk-benefit-ratio of particular diagnostic or therapeutic means. Guidelines and recommendations should help the health professionals to make decisions in their daily practice. However, the final decisions concerning an individual patient must be made by the responsible health professional(s) in consultation with the patient and caregiver as appropriate. A great number of Guidelines have been issued in recent years by the European Society of Cardiology (ESC) as well as by other societies and organisations. Because of the impact on clinical practice, quality criteria for the development of guidelines have been established in order to make all decisions transparent to the user. The recommendations for formulating and issuing ESC Guidelines can be found on the ESC website (http://www.escardio.org/guidelines-surveys/esc-guidelines/about/Pages/rules-writing.aspx). ESC Guidelines represent the official position of the ESC on a given topic and are regularly updated. Members of this Task Force were selected by the ESC to represent professionals involved with the medical care of patients with this pathology. Selected experts in the field undertook a comprehensive review of the published evidence for management (including diagnosis, treatment, prevention and rehabilitation) of a given condition according to ESC Committee for Practice Guidelines (CPG) policy. A critical evaluation of diagnostic and therapeutic procedures was performed including assessment of the risk-benefit-ratio. Estimates of expected health outcomes for larger populations were included, where data exist. The level of evidence and the strength of recommendation of particular management options were weighed and graded according to predefined scales, as outlined in Tables 1 and 2 . The experts of …

3,276 citations

Journal ArticleDOI
TL;DR: PolyPhen‐2 (Polymorphism Phenotyping v2), available as software and via a Web server, predicts the possible impact of amino acid substitutions on the stability and function of human proteins using structural and comparative evolutionary considerations.
Abstract: PolyPhen-2 (Polymorphism Phenotyping v2), available as software and via a Web server, predicts the possible impact of amino acid substitutions on the stability and function of human proteins using structural and comparative evolutionary considerations. It performs functional annotation of single-nucleotide polymorphisms (SNPs), maps coding SNPs to gene transcripts, extracts protein sequence annotations and structural attributes, and builds conservation profiles. It then estimates the probability of the missense mutation being damaging based on a combination of all these properties. PolyPhen-2 features include a high-quality multiple protein sequence alignment pipeline and a prediction method employing machine-learning classification. The software also integrates the UCSC Genome Browser's human genome annotations and MultiZ multiple alignments of vertebrate genomes with the human genome. PolyPhen-2 is capable of analyzing large volumes of data produced by next-generation sequencing projects, thanks to built-in support for high-performance computing environments like Grid Engine and Platform LSF.

2,681 citations

Journal ArticleDOI
TL;DR: To facilitate evaluation of the medical importance of each variant, ClinVar aggregates submissions with the same variation/phenotype combination, adds value from other NCBI databases, assigns a distinct accession of the format RCV000000000.0 and reports if there are conflicting clinical interpretations.
Abstract: ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/) provides a freely available archive of reports of relationships among medically important variants and phenotypes. ClinVar accessions submissions reporting human variation, interpretations of the relationship of that variation to human health and the evidence supporting each interpretation. The database is tightly coupled with dbSNP and dbVar, which maintain information about the location of variation on human assemblies. ClinVar is also based on the phenotypic descriptions maintained in MedGen (http://www.ncbi.nlm.nih.gov/medgen). Each ClinVar record represents the submitter, the variation and the phenotype, i.e. the unit that is assigned an accession of the format SCV000000000.0. The submitter can update the submission at any time, in which case a new version is assigned. To facilitate evaluation of the medical importance of each variant, ClinVar aggregates submissions with the same variation/phenotype combination, adds value from other NCBI databases, assigns a distinct accession of the format RCV000000000.0 and reports if there are conflicting clinical interpretations. Data in ClinVar are available in multiple formats, including html, download as XML, VCF or tab-delimited subsets. Data from ClinVar are provided as annotation tracks on genomic RefSeqs and are used in tools such as Variation Reporter (http://www.ncbi.nlm.nih.gov/variation/tools/reporter), which reports what is known about variation based on user-supplied locations.

2,234 citations