TY - JOUR
T1 - Trans-ancestry meta-analysis of genome wide association studies of inhibitory control
AU - Arnatkeviciute, Aurina
AU - Lemire, Mathieu
AU - Morrison, Claire
AU - Mooney, Michael
AU - Ryabinin, Peter
AU - Roslin, Nicole M.
AU - Nikolas, Molly
AU - Coxon, James
AU - Tiego, Jeggan
AU - Hawi, Ziarih
AU - Fornito, Alex
AU - Henrik, Walter
AU - Martinot, Jean Luc
AU - Martinot, Marie Laure Paillère
AU - Artiges, Eric
AU - Garavan, Hugh
AU - Nigg, Joel
AU - Friedman, Naomi P.
AU - Burton, Christie
AU - Schachar, Russell
AU - Crosbie, Jennifer
AU - Bellgrove, Mark A.
N1 - Funding Information:
MAB was supported by a National Health and Medical Research Council of Australia Senior Research Fellowship. AA was funded by a grant from the Australian Research Council (ARC) under its Linkage Project scheme (LP160101592). This work was in part supported by operating grants from the Canadian Institutes of Health (MOP-106573 to P.D.A., MOP–93696 to R.J.S., PJT-159462 to J.C. and PJT-165876 to J.C.). A part of the data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development (ABCD) Study ( https://abcdstudy.org ), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 and follow them over 10 years into early adulthood. The ABCD Study® is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners.html . A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/consortium_members/ . ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD genetic data and ABCD behavioural/cognitive data for GoRT and GoRT SD used in this report came from ABCD release 2.0; https://nda.nih.gov/study.html?id=634 . The ABCD behavioural/cognitive data for SSRT used in this report came from ABCD release 3.0; https://nda.nih.gov/study.html?id=901 . SM
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85165910546
U2 - 10.1038/s41380-023-02187-9
DO - 10.1038/s41380-023-02187-9
M3 - Article
C2 - 37500827
AN - SCOPUS:85165910546
SN - 1359-4184
VL - 28
SP - 4175
EP - 4184
JO - Molecular Psychiatry
JF - Molecular Psychiatry
ER -