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00925njm 22002777a 4500 dc Dierssen-Sotos, Trinidad author Gómez-Acebo, Inés author Palazuelos, Camilo author Fernandez-Navarro, Pablo L author Altzibar, Jone M author González-Donquiles, Carmen author Ardanaz, Eva author Bustamante, Mariona author Alonso-Molero, Jéssica author Vidal, Carmen author Bayo-Calero, Juan author Tardón, Adonina author Salas, Dolores author Marcos-Gragera, Rafael author Moreno, Victor author Rodríguez-Cundín, Paz author Vinyals, Gemma Castaño author Ederra, María author Vilorio-Marqués, Laura author Amiano, Pilar author Perez-Gomez, Beatriz author Aragones, Nuria author Kogevinas, Manolis author Pollan-Santamaria, Marina author Llorca, Javier author 2018 A breast-risk score, published in 2016, was developed in white-American women using 92 genetic variants (GRS92), modifiable and non-modifiable risk factors. With the aim of validating the score in the Spanish population, 1,732 breast cancer cases and 1,910 controls were studied. The GRS92, modifiable and non-modifiable risk factor scores were estimated via logistic regression. SNPs without available genotyping were simulated as in the aforementioned 2016 study. The full model score was obtained by combining GRS92, modifiable and non-modifiable risk factor scores. Score performances were tested via the area under the ROC curve (AUROC), net reclassification index (NRI) and integrated discrimination improvement (IDI). Compared with non-modifiable and modifiable factor scores, GRS92 had higher discrimination power (AUROC: 0.6195, 0.5885 and 0.5214, respectively). Adding the non-modifiable factor score to GRS92 improved patient classification by 23.6% (NRI = 0.236), while the modifiable factor score only improved it by 7.2%. The full model AUROC reached 0.6244. A simulation study showed the ability of the full model for identifying women at high risk for breast cancer. In conclusion, a model combining genetic and risk factors can be used for stratifying women by their breast cancer risk, which can be applied to individualizing genetic counseling and screening recommendations. Sci Rep. 2018 Feb 14;8(1):3036. 10.1038/s41598-018-20832-0 2045-2322 2045-2322 Scientific reports 29445177 http://hdl.handle.net/20.500.12105/9152 Validating a breast cancer score in Spanish women. The MCC-Spain study