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Current Developments of Clinical Sequencing and the Clinical Utility of Polygenic Risk Scores in Inflammatory Diseases.
Hübenthal, Matthias; Löscher, Britt-Sabina; Erdmann, Jeanette; Franke, Andre; Gola, Damian; König, Inke R; Emmert, Hila.
Afiliação
  • Hübenthal M; Department of Dermatology, Quincke Research Center, University Hospital Schleswig-Holstein, Kiel, Germany.
  • Löscher BS; Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel and University Hospital Schleswig-Holstein, Kiel, Germany.
  • Erdmann J; Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany.
  • Franke A; Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel and University Hospital Schleswig-Holstein, Kiel, Germany.
  • Gola D; Institute of Medical Biometry and Statistics, University of Lübeck, Lübeck, Germany.
  • König IR; Institute of Medical Biometry and Statistics, University of Lübeck, Lübeck, Germany.
  • Emmert H; Department of Dermatology, Quincke Research Center, University Hospital Schleswig-Holstein, Kiel, Germany.
Front Immunol ; 11: 577677, 2020.
Article em En | MEDLINE | ID: mdl-33633722
ABSTRACT
In this mini-review, we highlight selected research by the Deutsche Forschungsgemeinschaft (DFG) Cluster of Excellence "Precision Medicine in Chronic Inflammation" focusing on clinical sequencing and the clinical utility of polygenic risk scores as well as its implication on precision medicine in the field of the inflammatory diseases inflammatory bowel disease, atopic dermatitis and coronary artery disease. Additionally, we highlight current developments and discuss challenges to be faced in the future. Exemplary, we point to residual challenges in detecting disease-relevant variants resulting from difficulties in the interpretation of candidate variants and their potential interactions. While polygenic risk scores represent promising tools for the stratification of patient groups, currently, polygenic risk scores are not accurate enough for clinical setting. Precision medicine, incorporating additional data from genomics, transcriptomics and proteomics experiments, may enable the identification of distinct disease pathogeneses. In the future, data-intensive biomedical innovation will hopefully lead to improved patient stratification for personalized medicine.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Apoio para a Decisão / Sequenciamento do Exoma / Inflamação Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Técnicas de Apoio para a Decisão / Sequenciamento do Exoma / Inflamação Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article