TY  - JOUR
AU  - Scannell Bryan, Molly
AU  - Argos, Maria
AU  - Andrulis, Irene L
AU  - Hopper, John L
AU  - Chang-Claude, Jenny
AU  - Malone, Kathleen E
AU  - John, Esther M
AU  - Gammon, Marilie D
AU  - Daly, Mary B
AU  - Terry, Mary Beth
AU  - Buys, Saundra S
AU  - Huo, Dezheng
AU  - Olopade, Olofunmilayo I
AU  - Genkinger, Jeanine M
AU  - Whittemore, Alice S
AU  - Jasmine, Farzana
AU  - Kibriya, Muhammad G
AU  - Chen, Lin S
AU  - Ahsan, Habibul
TI  - Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer.
JO  - Cancer epidemiology, biomarkers & prevention
VL  - 27
IS  - 9
SN  - 1538-7755
CY  - Philadelphia, Pa.
PB  - AACR
M1  - DKFZ-2018-01478
SP  - 1057 - 1064
PY  - 2018
AB  - Background: Although germline genetics influences breast cancer incidence, published research only explains approximately half of the expected association. Moreover, the accuracy of prediction models remains low. For women who develop breast cancer early, the genetic architecture is less established.Methods: To identify loci associated with early-onset breast cancer, gene-based tests were carried out using exome array data from 3,479 women with breast cancer diagnosed before age 50 and 973 age-matched controls. Replication was undertaken in a population that developed breast cancer at all ages of onset.Results: Three gene regions were associated with breast cancer incidence: FGFR2 (P = 1.23 × 10-5; replication P < 1.00 × 10-6), NEK10 (P = 3.57 × 10-4; replication P < 1.00 × 10-6), and SIVA1 (P = 5.49 × 10-4; replication P < 1.00 × 10-6). Of the 151 gene regions reported in previous literature, 19 (12.5
LB  - PUB:(DE-HGF)16
C6  - pmid:29898891
C2  - pmc:PMC6125194
DO  - DOI:10.1158/1055-9965.EPI-17-1185
UR  - https://inrepo02.dkfz.de/record/137598
ER  -