PT  - JOURNAL ARTICLE
AU  - Radhika Kandaswamy
AU  - Andrea Allegrini
AU  - Alexandra F. Nancarrow
AU  - Sophie Nicole Cave
AU  - Robert Plomin
AU  - Sophie von Stumm
TI  - Predicting alcohol use from genome-wide polygenic scores, environmental factors, and their interactions in young adulthood
AID  - 10.1101/2020.07.05.188656
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.07.05.188656
4099  - http://biorxiv.org/content/early/2020/11/06/2020.07.05.188656.short
4100  - http://biorxiv.org/content/early/2020/11/06/2020.07.05.188656.full
AB  - Alcohol use during emerging adulthood is associated with adverse life outcomes but its risk factors are not well known. Here, we predicted alcohol use in 3,153 young adults aged 22 years from (a) genome-wide polygenic scores (GPS) based on genome-wide association studies for the target phenotypes number of drinks per week and Alcohol Use Disorders Identification Test scores, (b) 30 environmental factors, and (c) their interactions (i.e., GxE effects). Data was collected from 1994 to 2018 as a part of the UK Twins Early Development Study. GPS accounted for up to 1.9% of the variance in alcohol use (i.e., Alcohol Use Disorders Identification Test score), while the 30 measures of environmental factors together accounted for 21.1%. The 30 GPS-environment interactions did not explain any additional variance and none of the interaction terms exceeded the significance threshold after correcting for multiple testing. Our findings suggest that GPS and environmental factors have primarily direct, additive effects rather than interacting systematically.Competing Interest StatementThe authors have declared no competing interest.