Reference : Clinically relevant combined effect of polygenic background, rare pathogenic germline...
E-prints/Working papers : Already available on another site
Life sciences : Genetics & genetic processes
Human health sciences : Oncology
Systems Biomedicine
http://hdl.handle.net/10993/50410
Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence 2022.01.20.22269585
English
Hassanin, Emadeldin [> >]
Spier, Isabel [> >]
Bobbili, Dheeraj Reddy mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Aldisi, Rana [> >]
Klinkhammer, Hannah [> >]
David, Friederike [> >]
Dueñas, Nuria [> >]
Hüneburg, Robert [> >]
Perne, Claudia [> >]
Brunet, Joan [> >]
Capella, Gabriel [> >]
Nöthen, Markus M. [> >]
Forstner, Andreas J. [> >]
Mayr, Andreas [> >]
Krawitz, Peter [> >]
May, Patrick mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core]
Aretz, Stefan [> >]
Maj, Carlo [> >]
21-Jan-2022
Cold Spring Harbor Laboratory Press
Yes
[en] Colocrectal cancer ; polygenic risk ; family status
[en] Background and aims: Summarised in polygenic risk scores (PRS), the effect of common, low penetrant genetic variants associated with colorectal cancer (CRC), can be used for risk stratification.Methods To assess the combined impact of the PRS and other main factors on CRC risk, 163,516 individuals from the UK Biobank were stratified as follows: 1. carriers status for germline pathogenic variants (PV) in CRC susceptibility genes (APC, MLH1, MSH2, MSH6, PMS2), 2. low (<20%), intermediate (20-80%), or high PRS (>80\%), and 3. family history (FH) of CRC. Multivariable logistic regression and Cox proportional hazards models were applied to compare odds ratios (OR) and to compute the lifetime incidence, respectively. Results: Depending on the PRS, the CRC lifetime incidence for non-carriers ranges between 6 and 22\%, compared to 40 and 74 for carriers. A suspicious FH is associated with a further increase of the cumulative incidence reaching 26 for non-carriers and 98 for carriers. In non-carriers without FH, but high PRS, the CRC risk is doubled, whereas a low PRS even in the context of a FH results in a decreased risk. The full model including PRS, carrier status, and FH improved the area under the curve (AUC) in risk prediction (0.704). Conclusion: The findings demonstrate that CRC risks are strongly influenced by the PRS for both a sporadic and monogenic background. FH, PV, and common variants complementary contribute to CRC risk. The implementation of PRS in routine care will likely improve personalized risk stratification, which will in turn guide tailored preventive surveillance strategies in high, intermediate, and low risk groups.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Fonds National de la Recherche - FnR
MechEPI
Researchers ; Professionals
http://hdl.handle.net/10993/50410
10.1101/2022.01.20.22269585
https://www.medrxiv.org/content/early/2022/01/21/2022.01.20.22269585
https://www.medrxiv.org/content/10.1101/2022.01.20.22269585v1
FnR ; FNR11583046 > Roland Krause > MechEPI > Epileptogenesis Of Genetic Epilepsies > 01/04/2018 > 30/06/2021 > 2017

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