To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Technological readiness and implementation of genomic-driven precision medicine for complex diseases
Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden; Department of Nutrition, Harvard School of Public Health, Boston MA, USA.
Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden.
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Department of Cardiology, Akademiska Sjukhuset, Uppsala, Sweden; George Institute for Global Health, Camperdown NSW, Australia; Medical Sciences, Uppsala University, Uppsala, Sweden.
Show others and affiliations
2021 (English)In: Journal of Internal Medicine, ISSN 0954-6820, E-ISSN 1365-2796, Vol. 290, no 3, p. 602-620Article, review/survey (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Blackwell Science Ltd. , 2021. Vol. 290, no 3, p. 602-620
Keywords [en]
complex disease, genomics, precision diagnostics, precision medicine, precision prevention, precision treatment
National Category
Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:oru:diva-93115DOI: 10.1111/joim.13330ISI: 000669025500001PubMedID: 34213793Scopus ID: 2-s2.0-85109326832OAI: oai:DiVA.org:oru-93115DiVA, id: diva2:1580806
Funder
Swedish Research Council, D0886501 2018-02837 2014-03352 2009-1039 2018-03307Swedish Cancer SocietyKnut and Alice Wallenberg FoundationThe Karolinska Institutet's Research FoundationThe Cancer Research Funds of RadiumhemmetSwedish Heart Lung FoundationSwedish Foundation for Strategic Research, 15-0067Novo NordiskSwedish Rheumatism AssociationSwedish Society of Medicine
Note

Funding Agencies:

SciLifeLab 

United States Department of Health & Human Services

National Institutes of Health (NIH) - USA

NIH National Institute of Mental Health (NIMH)MH077139 MH1095320

European Commission 610307 733161 825843

European Research Council (ERC)

European Commission CoG-2015_681742_NASCENT

Strategic Research Area Epidemiology at Karolinska Institutet 

Vth 80-year Foundation 

Clinical Research Support (Avtal om Läkarutbildning och Forskning) 

Swedish government  

County councils  

ALF-agreement 

IMI2 Joint Undertaking 115974

European Federation of Pharmaceutical Industries and Associations with JDRF  

H2020 Program ERA PerMed JTC 2018 Call (VR) 2018-05619

Available from: 2021-07-16 Created: 2021-07-16 Last updated: 2023-06-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Halfvarson, JonasRepsilber, DirkOresic, Matej

Search in DiVA

By author/editor
Halfvarson, JonasRepsilber, DirkOresic, Matej
By organisation
School of Medical Sciences
In the same journal
Journal of Internal Medicine
Health Care Service and Management, Health Policy and Services and Health Economy

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 43 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf