Title:
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Risk Model for Prostate Cancer Using Environmental and Genetic
Factors in the Spanish Multi-Case-Control (MCC) Study
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Author:
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Gómez Acebo, Inés; Dierssen Sotos, Trinidad; Fernández Navarro, Pablo; Palazuelos-Calderón, Camilo; Moreno Aguado, Víctor; Aragonès Sanz, Núria; Castaño-Vinyals, Gemma; Jiménez Moleón, José Juan; Ruiz Cerdá, José L.; Pérez Gómez, Beatriz; Ruiz-Dominguez, José Manuel; Alonso-Molero, Jéssica; Pollán, Marina; Kogevinas, Manolis; Llorca Díaz, Javier
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Abstract:
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Prostate cancer (PCa) is the second most common cancer among men
worldwide. Its etiology remains largely unknown compared to
other common cancers. We have developed a risk stratification
model combining environmental factors with family history and
genetic susceptibility. 818 PCa cases and 1,006 healthy controls
were compared. Subjects were interviewed on major lifestyle
factors and family history. Fifty-six PCa susceptibility SNPs
were genotyped. Risk models based on logistic regression were
developed to combine environmental factors, family history and a
genetic risk score. In the whole model, compared with subjects
with low risk (reference category, decile 1), those carrying an
intermediate risk (decile 5) had a 265% increase in PCa risk (OR
= 3.65, 95% CI 2.26 to 5.91). The genetic risk score had an area
under the ROC curve (AUROC) of 0.66 (95% CI 0.63 to 0.68). When
adding the environmental score and family history to the genetic
risk score, the AUROC increased by 0.05, reaching 0.71 (95% CI
0.69 to 0.74). Genetic susceptibility has a stronger risk value
of the prediction that modifiable risk factors. While the added
value of each SNP is small, the combination of 56 SNPs adds to
the predictive ability of the risk model. |
Subject(s):
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-Càncer de pròstata -Espanya -Genètica humana -Epidemiologia -Prostate cancer -Spain -Human genetics -Epidemiology |
Rights:
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cc by (c) Gómez-Acebo et al., 2017
http://creativecommons.org/licenses/by/3.0/es/ |
Document type:
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Article Article - Published version |
Published by:
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Nature Publishing Group
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