Literature DB >> 34213793

Technological readiness and implementation of genomic-driven precision medicine for complex diseases.

P W Franks1,2, E Melén3, M Friedman4, J Sundström5,6,7, I Kockum8,9, L Klareskog8,10, C Almqvist11, S E Bergen11, K Czene11, S Hägg11, P Hall11,12, K Johnell11, A Malarstig11,13, A Catrina14, H Hagström14,15, M Benson16,17, J Gustav Smith18,19, M F Gomez1, M Orho-Melander1, B Jacobsson20,21,22, J Halfvarson23, D Repsilber24, M Oresic23,25, C Jern26,27, B Melin28, C Ohlsson29,30, T Fall31, L Rönnblom32, M Wadelius33, G Nordmark32, Å Johansson34, R Rosenquist4, P F Sullivan11,35,36.   

Abstract

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.
© 2021 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.

Entities:  

Keywords:  complex disease; genomics; precision diagnostics; precision medicine; precision prevention; precision treatment

Mesh:

Year:  2021        PMID: 34213793     DOI: 10.1111/joim.13330

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  3 in total

1.  Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease.

Authors:  Sarah J Spendlove; Leroy Bondhus; Gentian Lluri; Jae Hoon Sul; Valerie A Arboleda
Journal:  HGG Adv       Date:  2022-04-25

2.  Editorial: Next Generation Sequencing (NGS) for Rare Diseases Diagnosis.

Authors:  Xiu-An Yang
Journal:  Front Genet       Date:  2021-12-23       Impact factor: 4.599

3.  A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets.

Authors:  Xinxiu Li; Eun Jung Lee; Sandra Lilja; Danuta R Gawel; Barbara Bohle; Mikael Benson; Joseph Loscalzo; Samuel Schäfer; Martin Smelik; Maria Regina Strobl; Oleg Sysoev; Hui Wang; Huan Zhang; Yelin Zhao
Journal:  Genome Med       Date:  2022-05-06       Impact factor: 15.266

  3 in total

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