Validation of electronic health record phenotyping of bipolar disorder cases and controls.
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Alisha R Pollastri | N. Craddock | S. Mccarroll | E. Green | I. Kohane | S. Purcell | T. Cai | J. Smoller | P. Sklar | D. Ruderfer | M. Pato | H. Medeiros | J. N. Rosenquist | V. Gainer | S. Murphy | R. Perlis | E. Stahl | S. Goryachev | S. Churchill | L. Forty | Phil H. Lee | V. Castro | J. Minnier | Alison G. Hoffnagle | Yael Dai | S. Block | Sydney Weill | Mireya F Nadal-Vicens | D. Ongur | Sarah L Bergen | M. Landén | R. Belliveau | P. Roussos | A. Charney | I. Jones | A. Juréus | Carlos Pato | Oscar Svantesson | K. Chambert | J. Moran | J. Sobel | Lisa Jones | Arianna Diflorio | Alisha R. Pollastri | J. Rosenquist | Christina M. Hultman | Sergey Goryachev | Sydney R. Weill | Katherine Dunjewski | C. Hultman | C. Pato
[1] J. Nurnberger,et al. Diagnostic accuracy and confusability analyses: an application to the Diagnostic Interview for Genetic Studies , 1996, Psychological Medicine.
[2] F. McMahon,et al. Diagnostic reliability of bipolar II disorder. , 2002, Archives of general psychiatry.
[3] Scott T. Weiss,et al. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system , 2006, BMC Medical Informatics Decis. Mak..
[4] Isaac S. Kohane,et al. Architecture of the Open-source Clinical Research Chart from Informatics for Integrating Biology and the Bedside , 2007, AMIA.
[5] M. McCarthy,et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes , 2008, Nature Genetics.
[6] Esben Agerbo,et al. Bipolar disorder, schizoaffective disorder, and schizophrenia overlap: a new comorbidity index. , 2009, The Journal of clinical psychiatry.
[7] I. Kohane,et al. Instrumenting the health care enterprise for discovery research in the genomic era. , 2009, Genome research.
[8] M. Sordo,et al. Rapid Identification of Myocardial Infarction Risk Associated With Diabetes Medications Using Electronic Medical Records , 2009, Diabetes Care.
[9] Hao Helen Zhang,et al. ON THE ADAPTIVE ELASTIC-NET WITH A DIVERGING NUMBER OF PARAMETERS. , 2009, Annals of statistics.
[10] Melissa A. Basford,et al. Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record. , 2010, American journal of human genetics.
[11] D. Clair,et al. Meta-analysis of genome-wide association data of bipolar disorder and major depressive disorder , 2011, Molecular Psychiatry.
[12] R. Kotov,et al. Diagnostic consistency of major depression with psychosis across 10 years. , 2011, The Journal of clinical psychiatry.
[13] Hua Xu,et al. Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin , 2011, J. Am. Medical Informatics Assoc..
[14] R. Kotov,et al. Diagnostic shifts during the decade following first admission for psychosis. , 2011, The American journal of psychiatry.
[15] M. Fava,et al. Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model , 2011, Psychological Medicine.
[16] Manuel A. R. Ferreira,et al. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 , 2011, Nature Genetics.
[17] Peter Szolovits,et al. Genetic basis of autoantibody positive and negative rheumatoid arthritis risk in a multi-ethnic cohort derived from electronic health records. , 2011, American journal of human genetics.
[18] I. Kohane. Using electronic health records to drive discovery in disease genomics , 2011, Nature Reviews Genetics.
[19] R. Altman,et al. Detecting Drug Interactions From Adverse‐Event Reports: Interaction Between Paroxetine and Pravastatin Increases Blood Glucose Levels , 2011, Clinical pharmacology and therapeutics.
[20] Anders D. Børglum,et al. Genome-wide association study identifies five new schizophrenia loci , 2011, Nature Genetics.
[21] M. Fava,et al. Antidepressant response in patients with major depression exposed to NSAIDs: a pharmacovigilance study. , 2012, The American journal of psychiatry.
[22] Isaac S. Kohane,et al. A translational engine at the national scale: informatics for integrating biology and the bedside , 2012, J. Am. Medical Informatics Assoc..
[23] Hua Xu,et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records , 2012, J. Am. Medical Informatics Assoc..
[24] Isaac S. Kohane,et al. Technical desiderata for the integration of genomic data into Electronic Health Records , 2012, J. Biomed. Informatics.
[25] M. Fava,et al. Incident user cohort study of risk for gastrointestinal bleed and stroke in individuals with major depressive disorder treated with antidepressants , 2012, BMJ Open.
[26] D. Roden,et al. Predicting Clopidogrel Response Using DNA Samples Linked to an Electronic Health Record , 2012, Clinical pharmacology and therapeutics.
[27] Simon C. Potter,et al. Genome-wide Association Analysis Identifies 14 New Risk Loci for Schizophrenia , 2013, Nature Genetics.
[28] Qing Zeng-Treitler,et al. Feasibility of studying brain morphology in major depressive disorder with structural magnetic resonance imaging and clinical data from the electronic medical record: A pilot study , 2013, Psychiatry Research: Neuroimaging.
[29] Emily A. Kuhl,et al. DSM-5 field trials in the United States and Canada, Part II: test-retest reliability of selected categorical diagnoses. , 2013, The American journal of psychiatry.
[30] Peter Szolovits,et al. Associations of autoantibodies, autoimmune risk alleles, and clinical diagnoses from the electronic medical records in rheumatoid arthritis cases and non-rheumatoid arthritis controls. , 2013, Arthritis and rheumatism.
[31] Christopher G. Chute,et al. A genome- and phenome-wide association study to identify genetic variants influencing platelet count and volume and their pleiotropic effects , 2013, Human Genetics.
[32] Qing Zeng-Treitler,et al. Limbic system white matter microstructure and long-term treatment outcome in major depressive disorder: A diffusion tensor imaging study using legacy data , 2014, The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry.