TY  - JOUR
AU  - Guan, Zhong
AU  - Raut, Janhavi R
AU  - Weigl, Korbinian
AU  - Schöttker, Ben
AU  - Holleczek, Bernd
AU  - Zhang, Yan
AU  - Brenner, Hermann
TI  - Individual and joint performance of DNA methylation profiles, genetic risk scores and environmental risk scores for predicting breast cancer risk.
JO  - Molecular oncology
VL  - 14
IS  - 1
SN  - 1878-0261
CY  - Hoboken, NJ
PB  - John Wiley & Sons, Inc.
M1  - DKFZ-2019-02540
SP  - 42-53
PY  - 2020
N1  - 2020 Jan;14(1):42-53#EA:C070#LA:C070#
AB  - DNA methylation patterns in the blood, genetic risk scores (GRSs) and environmental risk factors can potentially improve breast cancer (BC) risk prediction. We assessed the individual and joint predictive performance of methylation, GRS and environmental risk factors for BC incidence in a prospective cohort study. In a cohort of 5462 women aged 50-75 from Germany, 101 BC cases were identified during 14 years of follow-up and were compared to 263 BC-free controls in a nested case-control design. Three previously suggested methylation risk scores (MRSs) based on methylation of 423, 248 and 131 cytosine-phosphate-guanine (CpG) loci, and a GRS based on the risk alleles from 269 recently identified single-nucleotide polymorphisms were constructed. Additionally, multiple previously proposed environmental risk scores (ERSs) were built based on environmental variables. Areas under the receiver operating characteristic curves (AUCs) were estimated for evaluating BC risk prediction performance. MRS and ERS showed limited accuracy in predicting BC incidence, with AUCs ranging from 0.52 to 0.56 and from 0.52 to 0.59, respectively. The GRS predicted BC incidence with a higher accuracy (AUC=0.61). Adjusted odds ratios per standard deviation increase (95
LB  - PUB:(DE-HGF)16
C6  - pmid:31677238
DO  - DOI:10.1002/1878-0261.12594
UR  - https://inrepo02.dkfz.de/record/147458
ER  -