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Technological readiness and implementation of genomic-driven precision medicine for complex diseases.
Franks, P W; Melén, E; Friedman, M; Sundström, J; Kockum, I; Klareskog, L; Almqvist, C; Bergen, S E; Czene, K; Hägg, S; Hall, P; Johnell, K; Malarstig, A; Catrina, A; Hagström, H; Benson, M; Gustav Smith, J; Gomez, M F; Orho-Melander, M; Jacobsson, B; Halfvarson, J; Repsilber, D; Oresic, M; Jern, C; Melin, B; Ohlsson, C; Fall, T; Rönnblom, L; Wadelius, M; Nordmark, G; Johansson, Å; Rosenquist, R; Sullivan, P F.
Afiliação
  • Franks PW; From the, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.
  • Melén E; Department of Nutrition, Harvard School of Public Health, Boston, MA, USA.
  • Friedman M; Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
  • Sundström J; Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
  • Kockum I; Department of Cardiology, Akademiska Sjukhuset, Uppsala, Sweden.
  • Klareskog L; George Institute for Global Health, Camperdown, NSW, Australia.
  • Almqvist C; Medical Sciences, Uppsala University, Uppsala, Sweden.
  • Bergen SE; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Czene K; Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Hägg S; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Hall P; Department of Rheumatology, Karolinska Institutet, Stockholm, Sweden.
  • Johnell K; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Malarstig A; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Catrina A; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Hagström H; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Benson M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Gustav Smith J; Department of Oncology, Södersjukhuset, Stockholm, Sweden.
  • Gomez MF; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Orho-Melander M; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Jacobsson B; Pfizer, Worldwide Research and Development, Stockholm, Sweden.
  • Halfvarson J; Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Repsilber D; Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Oresic M; Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden.
  • Jern C; Department of Pediatrics, Linkopings Universitet, Linkoping, Sweden.
  • Melin B; Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden.
  • Ohlsson C; Department of Cardiology and Wallenberg Center for Molecular Medicine, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden.
  • Fall T; Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Rönnblom L; From the, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.
  • Wadelius M; From the, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.
  • Nordmark G; Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Genetics and Bioinformatics, Oslo, Norway.
  • Johansson Å; Department of Obstetrics and Gynecology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Rosenquist R; Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden.
  • Sullivan PF; School of Medical Sciences, Örebro University, Örebro, Sweden.
J Intern Med ; 290(3): 602-620, 2021 09.
Article em En | MEDLINE | ID: mdl-34213793
The fields of human genetics and genomics have generated considerable knowledge about the mechanistic basis of many diseases. Genomic approaches to diagnosis, prognostication, prevention and treatment - genomic-driven precision medicine (GDPM) - may help optimize medical practice. Here, we provide a comprehensive review of GDPM of complex diseases across major medical specialties. We focus on technological readiness: how rapidly a test can be implemented into health care. Although these areas of medicine are diverse, key similarities exist across almost all areas. Many medical areas have, within their standards of care, at least one GDPM test for a genetic variant of strong effect that aids the identification/diagnosis of a more homogeneous subset within a larger disease group or identifies a subset with different therapeutic requirements. However, for almost all complex diseases, the majority of patients do not carry established single-gene mutations with large effects. Thus, research is underway that seeks to determine the polygenic basis of many complex diseases. Nevertheless, most complex diseases are caused by the interplay of genetic, behavioural and environmental risk factors, which will likely necessitate models for prediction and diagnosis that incorporate genetic and non-genetic data.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica / Medicina de Precisão Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genômica / Medicina de Precisão Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article