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Jia Yan, Fazil Aliev, Bradley T. Webb, Kenneth S. Kendler, Vernell S. Williamson, Howard J. Edenberg, Arpana Agrawal, Mark Z. Kos, Laura Almasy, John I. Nurnberger Jr, Marc A. Schuckit, John R. Kramer, John P. Rice, Samuel Kuperman, Alison M. Goate, Jay A. Tischfield, Bernice Porjesz and Danielle M. Dick Using genetic information from candidate gene and genome-wide association studies in risk prediction for alcohol dependence Addiction Biology 19

Article first published online: 30 JAN 2013 | DOI: 10.1111/adb.12035

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We examined the impact of multiple single nucleotide polymorphisms (SNPs) on risk prediction for alcohol dependence (AD). The predictive accuracy of genetic sum scores was assessed separately for SNPs associated with AD in candidate gene studies and SNPs from GWAS analyses that met varying P-value thresholds. Candidate gene sum scores did not exhibit significant predictive accuracy, but SNPs that met P-value thresholds of 0.01-0.50 in GWAS yielded significant, albeit low, predictive accuracy. Family history was the best predictor of AD.

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