ABC | Volume 111, Nº1, July 2018

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References 2.5 times increased CAD risk when compared to those in the lowest quartile. This GRS has provided a slight improvement of the predictive ability compared to the initial model and can enhance individual risk stratification . These results highlight the potential value of including genetic information in the usual models. Acknowledgments We are very grateful to Elsa Sousa who made all the administrative procedures and to Rita Freitas (CIDEHUS, Évora University, Portugal) who reviewed the paper for statistical analysis. Author contributions Conception and design of the research and Writing of the manuscript: Pereira A; Acquisition of data: Pereira A, Freitas AI, Sousa AC, Brehm A; Analysis and interpretation of the data and Statistical analysis: Pereira A, Freitas S, Henriques E, Rodrigues M; Critical revision of the manuscript for intellectual content: Pereira A, Mendonça MI, Borges S, Brehm A, Reis RP. Potential Conflict of Interest No potential conflict of interest relevant to this article was reported. Sources of Funding There were no external funding sources for this study. Study Association This article is part of the thesis of Doctoral submitted by Andreia Pereira, from Universidade Nova de Lisboa. Ethics approval and consent to participate This study was approved by the Ethics Committee of the SESARAM, EPE under the protocol number 50/2012. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study. 58

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