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Novel Analysis Methods to Mine Immune-Mediated Phenotypes and Find Genetic Variation Within the Electronic Health Record (Roadmap for Phenotype to Genotype: Immunogenomics).
Krantz, Matthew S; Kerchberger, V Eric; Wei, Wei-Qi.
Afiliação
  • Krantz MS; Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn. Electronic address: matthew.s.krantz@vumc.org.
  • Kerchberger VE; Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tenn.
  • Wei WQ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tenn.
J Allergy Clin Immunol Pract ; 10(7): 1757-1762, 2022 07.
Article em En | MEDLINE | ID: mdl-35487368
The field of immunogenomics has the opportunity for accelerated genetic discovery aided by the maturation of electronic health records (EHRs) linked to DNA biobanks. Novel analysis methods in deep phenotyping of EHR data allow the full realization of the paired and increasingly dense genetic/phenotypic information available. This enables researchers to uncover genetic risk factors for the prevention and optimal treatment of immune-mediated diseases and immune-mediated adverse drug reactions. This article reviews the background of EHRs linked to DNA biobanks, potential applications to immunogenomic discovery, and current and emerging techniques in EHR-based deep phenotyping.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Registros Eletrônicos de Saúde Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Registros Eletrônicos de Saúde Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article