Life Sciences

Trans-ancestry meta-analysis of genome wide association studies of inhibitory control

Published on - Molecular Psychiatry

Authors: Aurina Arnatkeviciute, Mathieu Lemire, Claire Morrison, Michael Mooney, Peter Ryabinin, Nicole Roslin, Molly Nikolas, James Coxon, Jeggan Tiego, Ziarih Hawi, Alex Fornito, Walter Henrik, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Hugh Garavan, Joel Nigg, Naomi Friedman, Christie Burton, Russell Schachar, Jennifer Crosbie, Mark Bellgrove

Abstract Deficits in effective executive function, including inhibitory control are associated with risk for a number of psychiatric disorders and significantly impact everyday functioning. These complex traits have been proposed to serve as endophenotypes, however, their genetic architecture is not yet well understood. To identify the common genetic variation associated with inhibitory control in the general population we performed the first trans-ancestry genome wide association study (GWAS) combining data across 8 sites and four ancestries ( N = 14,877) using cognitive traits derived from the stop-signal task, namely – go reaction time (GoRT), go reaction time variability (GoRT SD) and stop signal reaction time (SSRT). Although we did not identify genome wide significant associations for any of the three traits, GoRT SD and SSRT demonstrated significant and similar SNP heritability of 8.2%, indicative of an influence of genetic factors. Power analyses demonstrated that the number of common causal variants contributing to the heritability of these phenotypes is relatively high and larger sample sizes are necessary to robustly identify associations. In Europeans, the polygenic risk for ADHD was significantly associated with GoRT SD and the polygenic risk for schizophrenia was associated with GoRT, while in East Asians polygenic risk for schizophrenia was associated with SSRT. These results support the potential of executive function measures as endophenotypes of neuropsychiatric disorders. Together these findings provide the first evidence indicating the influence of common genetic variation in the genetic architecture of inhibitory control quantified using objective behavioural traits derived from the stop-signal task.