Zeggini, E. ; Gloyn, A.L.* ; Barton, A.C.* ; Wain, L.V.*
Translational genomics and precision medicine: Moving from the lab to the clinic.
Science 365, 1409-1413 (2019)
Translational genomics aims to improve human health by building on discoveries made through genetics research and applying them in the clinical setting. This progress has been made possible by technological advances in genomics and analytics and by the digital revolution. Such advances should enable the development of prognostic markers, tailored interventions, and the design of prophylactic preventive approaches. We are at the cusp of predicting disease risk for some disorders by means of polygenic risk scores integrated with classical epidemiological risk factors. This should lead to better risk stratification and clinical decision-making. A deeper understanding of the link between genome-wide sequence and association with well-characterized phenotypes will empower the development of biomarkers to aid diagnosis, inform disease progression trajectories. and allow better targeting of treatments to those patients most likely to respond.
Impact Factor
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Times Cited
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Association; Risk; Genetics
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2019
Prepublished im Jahr
0
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
0036-8075
e-ISSN
1095-9203
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 365,
Heft: 6460,
Seiten: 1409-1413
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
American Association for the Advancement of Science (AAAS)
Verlagsort
1200 New York Ave, Nw, Washington, Dc 20005 Usa
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Translational Genomics (ITG)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-506700-001
Förderungen
Copyright
Erfassungsdatum
2019-10-11