Genomic prediction of alcohol-related morbidity and mortality

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Kiiskinen , T , Mars , N , Palviainen , T , Koskela , J , Rämö , J , Ripatti , P , Ruotsalainen , S , Project , F , GSCAN Consortium , , Palotie , A , Madden , P A F , Rose , R J , Kaprio , J , Salomaa , V , Mäkelä , P , Havulinna , A S & Ripatti , S 2020 , ' Genomic prediction of alcohol-related morbidity and mortality ' , Translational Psychiatry , vol. 10 , no. 1 , 23 . https://doi.org/10.1038/s41398-019-0676-2

Title: Genomic prediction of alcohol-related morbidity and mortality
Author: Kiiskinen, Tuomo; Mars, Nina; Palviainen, Teemu; Koskela, Jukka; Rämö, Joel; Ripatti, Pietari; Ruotsalainen, Sanni; Project, FinnGen; GSCAN Consortium,; Palotie, Aarno; Madden, Pamela A.F.; Rose, Richard J.; Kaprio, Jaakko; Salomaa, Veikko; Mäkelä, Pia; Havulinna, Aki S.; Ripatti, Samuli
Contributor: University of Helsinki, Complex Disease Genetics
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Complex Disease Genetics
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Centre of Excellence in Complex Disease Genetics
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Institute for Molecular Medicine Finland
University of Helsinki, Institute for Molecular Medicine Finland
Date: 2020-01-21
Language: eng
Number of pages: 8
Belongs to series: Translational Psychiatry
ISSN: 2158-3188
URI: http://hdl.handle.net/10138/313380
Abstract: While polygenic risk scores (PRS) have been shown to predict many diseases and risk factors, the potential of genomic prediction in harm caused by alcohol use has not yet been extensively studied. Here, we built a novel polygenic risk score of 1.1 million variants for alcohol consumption and studied its predictive capacity in 96,499 participants from the FinnGen study and 39,695 participants from prospective cohorts with detailed baseline data and up to 25 years of follow-up time. A 1 SD increase in the PRS was associated with 11.2 g (=0.93 drinks) higher weekly alcohol consumption (CI = 9.85-12.58 g, p = 2.3 x 10(-58)). The PRS was associated with alcohol-related morbidity (4785 incident events) and the risk estimate between the highest and lowest quintiles of the PRS was 1.83 (95% CI = 1.66-2.01, p = 1.6 x 10(-36)). When adjusted for self-reported alcohol consumption, education, marital status, and gamma-glutamyl transferase blood levels in 28,639 participants with comprehensive baseline data from prospective cohorts, the risk estimate between the highest and lowest quintiles of the PRS was 1.58 (CI = 1.26-1.99, p = 8.2 x 10(-5)). The PRS was also associated with all-cause mortality with a risk estimate of 1.33 between the highest and lowest quintiles (CI = 1.20-1.47, p = 4.5 x 10(-8)) in the adjusted model. In conclusion, the PRS for alcohol consumption independently associates for both alcohol-related morbidity and all-cause mortality. Together, these findings underline the importance of heritable factors in alcohol-related health burden while highlighting how measured genetic risk for an important behavioral risk factor can be used to predict related health outcomes.
Subject: CONSUMPTION
POLYGENIC RISK
SMOKING
TWIN
UK
3124 Neurology and psychiatry
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