Association of Arrhythmia-Related Genetic Variants With Phenotypes Documented in Electronic Medical Records.
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Michael J Ackerman | Joshua C Denny | Dan M Roden | Zi Ye | Deborah A Nickerson | William S Bush | Marylyn D Ritchie | Rongling Li | Gail P Jarvik | Quinn S Wells | Janet E Olson | Stephen D. Persell | Daniela Macaya | Berta Almoguera | Hakon Hakonarson | Iftikhar J Kullo | Suzette J Bielinski | Rosetta Chiavacci | Sara L Van Driest | Murray H Brilliant | Terrie E Kitchner | Sarah Stallings | Terrie E. Kitchner | Rex L Chisholm | David S Carrell | Stuart A Scott | Eric B Larson | James D Ralston | Kimberly F Doheny | Teri A Manolio | Laura J Rasmussen-Torvik | Marc S. Williams | Marc S Williams | H. Hakonarson | D. Nickerson | J. Olson | W. Bush | T. Manolio | D. Roden | J. Ralston | T. Callis | K. Doheny | R. Chiavacci | J. Denny | M. Brilliant | M. Ritchie | S. Bielinski | I. Kullo | Rongling Li | R. Chisholm | T. Kitchner | E. Bottinger | E. Larson | G. Jarvik | Jamie D. Kapplinger | M. Ackerman | S. Scott | D. Macaya | D. Carrell | D. Carey | Maureen E. Smith | S. V. Van Driest | Q. Wells | L. Rasmussen-Torvik | A. Gordon | John R. Wallace | D. Crosslin | N. Abul-Husn | M. Shoemaker | S. L. Driest | J. Connolly | S. Stallings | M. M. He | B. Almoguera | Jerry H. Kim | V. Pan | David R Crosslin | Stephen D Persell | Z. Ye | John Connolly | Noura S Abul-Husn | Thomas E Callis | John R Wallace | Erwin Bottinger | Vivian Pan | Maureen Smith | M Benjamin Shoemaker | Max M He | Jamie D Kapplinger | David Carey | Jerry H Kim | Adam Gordon | W. Bush | M. B. Shoemaker | M. Ackerman | S. Scott | Vivian Pan | Rongling Li
[1] Bale,et al. 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 , 2015, Genetics in Medicine.
[2] Heidi L Rehm,et al. ClinGen--the Clinical Genome Resource. , 2015, The New England journal of medicine.
[3] V. Salomaa,et al. Prevalence of arrhythmia-associated gene mutations and risk of sudden cardiac death in the Finnish population , 2013, Annals of medicine.
[4] A. Shelling,et al. Community detection of long QT syndrome with a clinical registry: an alternative to ECG screening programs? , 2013, Heart rhythm.
[5] Suzette J. Bielinski,et al. Design and Anticipated Outcomes of the eMERGE-PGx Project: A Multi-Center Pilot for Pre-Emptive Pharmacogenomics in Electronic Health Record Systems , 2014, Clinical pharmacology and therapeutics.
[6] M. Leppert,et al. The spectrum of symptoms and QT intervals in carriers of the gene for the long-QT syndrome. , 1992, The New England journal of medicine.
[7] Avni Santani,et al. Actionable exomic incidental findings in 6503 participants: challenges of variant classification , 2015, Genome research.
[8] M. Keating,et al. The common SCN5A mutation R1193Q causes LQTS-type electrophysiological alterations of the cardiac sodium channel , 2004, Journal of Medical Genetics.
[9] Larry N. Singh,et al. Interpreting Secondary Cardiac Disease Variants in an Exome Cohort , 2013, Circulation. Cardiovascular genetics.
[10] Robert C. Green,et al. Managing incidental findings and research results in genomic research involving biobanks and archived data sets , 2012, Genetics in Medicine.
[11] Robert C. Green,et al. Exploring concordance and discordance for return of incidental findings from clinical sequencing , 2012, Genetics in Medicine.
[12] Z. Li,et al. Genomic organization of the human SCN5A gene encoding the cardiac sodium channel. , 1996, Genomics.
[13] M. T. Lee,et al. R1193Q of SCN5A, a Brugada and long QT mutation, is a common polymorphism in Han Chinese , 2005, Journal of Medical Genetics.
[14] M. DePristo,et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.
[15] Seema M Jamal,et al. Pathogenic variants for Mendelian and complex traits in exomes of 6,517 European and African Americans: implications for the return of incidental results. , 2014, American journal of human genetics.
[16] Joshua C. Denny,et al. Chapter 13: Mining Electronic Health Records in the Genomics Era , 2012, PLoS Comput. Biol..
[17] Wojciech Zareba,et al. Long QT Syndrome. , 1992, Current problems in cardiology.
[18] Marc S. Williams,et al. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing , 2013, Genetics in Medicine.
[19] Fabio Mosca,et al. Prevalence of the Congenital Long-QT Syndrome , 2009, Circulation.
[20] Michael J Ackerman,et al. Ethnic differences in cardiac potassium channel variants: implications for genetic susceptibility to sudden cardiac death and genetic testing for congenital long QT syndrome. , 2003, Mayo Clinic proceedings.
[21] J. Pathak,et al. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives. , 2013, Journal of the American Medical Informatics Association : JAMIA.
[22] E. Clayton,et al. The legal risks of returning results of genomics research , 2012, Genetics in Medicine.
[23] R. Fulton,et al. PGRNseq: a targeted capture sequencing panel for pharmacogenetic research and implementation , 2016, Pharmacogenetics and genomics.
[24] S. Priori,et al. Cost-effectiveness of neonatal ECG screening for the long QT syndrome. , 2006, European heart journal.
[25] Acmg PrACtiCe. Incidental findings in clinical genomics: a clarification , 2013, Genetics in Medicine.
[26] M. Keating,et al. Genomic structure of three long QT syndrome genes: KVLQT1, HERG, and KCNE1. , 1998, Genomics.
[27] Michael J Ackerman,et al. Impact of genetics on the clinical management of channelopathies. , 2013, Journal of the American College of Cardiology.
[28] J. Stephens,et al. Spectrum and prevalence of cardiac sodium channel variants among black, white, Asian, and Hispanic individuals: implications for arrhythmogenic susceptibility and Brugada/long QT syndrome genetic testing. , 2004, Heart rhythm.
[29] K. Ferrick,et al. Prevalence of a Brugada Pattern Electrocardiogram in an Urban Population in the United States , 2009, Pacing and clinical electrophysiology : PACE.
[30] Deanna M. Church,et al. ClinVar: public archive of relationships among sequence variation and human phenotype , 2013, Nucleic Acids Res..
[31] Heidi L Rehm,et al. Return of genomic results to research participants: the floor, the ceiling, and the choices in between. , 2014, American journal of human genetics.
[32] Heidi L Rehm,et al. New approaches to molecular diagnosis. , 2013, JAMA.
[33] D. G. MacArthur,et al. Guidelines for investigating causality of sequence variants in human disease , 2014, Nature.
[34] Marylyn D. Ritchie,et al. Prospective participant selection and ranking to maximize actionable pharmacogenetic variants and discovery in the eMERGE Network , 2015, Genome Medicine.
[35] María Martín,et al. UniProt: A hub for protein information , 2015 .
[36] The Uniprot Consortium,et al. UniProt: a hub for protein information , 2014, Nucleic Acids Res..
[37] Melissa A. Basford,et al. Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network. , 2013, Journal of the American Medical Informatics Association : JAMIA.