TY - JOUR
T1 - Convergent Evidence for Predispositional Effects of Brain Gray Matter Volume on Alcohol Consumption
AU - Baranger, David A.A.
AU - Demers, Catherine H.
AU - Elsayed, Nourhan M.
AU - Knodt, Annchen R.
AU - Radtke, Spenser R.
AU - Desmarais, Aline
AU - Few, Lauren R.
AU - Agrawal, Arpana
AU - Heath, Andrew C.
AU - Barch, Deanna M.
AU - Squeglia, Lindsay M.
AU - Williamson, Douglas E.
AU - Hariri, Ahmad R.
AU - Bogdan, Ryan
N1 - Funding Information:
Data for this study were provided by the Human Connectome Project, WU-Minn Consortium (Grant No. 1U54MH091657; principal investigators David Van Essen, Ph.D. and Kamil Ugurbil, Ph.D.), which was funded by the 16 National Institutes of Health (NIH) institutes and centers that support the NIH Blueprint for Neuroscience Research and the McDonnell Center for Systems Neuroscience at Washington University. The Duke Neurogenetics Study was supported by Duke University and the National Institute on Drug Abuse (Grant No. DA033369 [to ARH]). The Teen Alcohol Outcomes Study (TAOS) was supported by Duke University and the National Institute on Alcohol Abuse and Alcoholism (Grant No. AA016274 [to DEW]). DAAB was supported by the NIH (Grant No. T32-GM008151) and the National Science Foundation (Grant No. DGE-1143954). LRF was supported by the National Institute on Alcohol Abuse and Alcoholism (Grant No. AA023693). CHD was supported by the NIH (Grant Nos. T32-DA007313 and T32-GM081739). AA was supported by the National Institute on Drug Abuse (Grant No. 5K02DA32573). ARH received additional support from the National Institute on Drug Abuse (Grant No. DA031579) and the National Institute on Aging (Grant No. AG049789). LMS was supported by the NIH (Grant Nos. K23 AA025399 and U01 DA041093). RB was supported by the Klingenstein Third Generation Research and the NIH (Grant Nos. R01-AG045231, R01-HD083614, and R01-AG052564). This article was published as a preprint on bioRxiv: https://doi.org/10.1101/299149. All data pertaining to this study are available on request to the corresponding author. Datasets may also be accessed at the locations listed:, Duke Neurogenetics Study (DNS): https://www.haririlab.com/projects/procedures.html, Human Connectome Project (HCP): https://www.humanconnectome.org/, Teen Alcohol Onset Study (TAOS): Requests for data access should be submitted to the study principal investigator, Douglas Williamson, Ph.D.: douglas.williamson@duke.edu, UK Biobank: http://www.ukbiobank.ac.uk, Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia (AlcGen/CHARGE+): Requests for access to summary statistics should be submitted to the study principal investigator, Gunter Schumann, Ph.D.: gunter.schumann@kcl.ac.uk, Genotype-Tissue Expression (GTEx)/CommonMind Consortium: Precomputed gene expression weights were provided by the Gusev lab: http://gusevlab.org/projects/fusion; https://gtexportal.org; https://www.nimhgenetics.org/resources/commonmind. All authors report no biomedical financial interests or potential conflicts of interest.
Funding Information:
Data for this study were provided by the Human Connectome Project, WU-Minn Consortium (Grant No. 1U54MH091657; principal investigators David Van Essen, Ph.D., and Kamil Ugurbil, Ph.D.), which was funded by the 16 National Institutes of Health (NIH) institutes and centers that support the NIH Blueprint for Neuroscience Research and the McDonnell Center for Systems Neuroscience at Washington University. The Duke Neurogenetics Study was supported by Duke University and the National Institute on Drug Abuse (Grant No. DA033369 [to ARH]). The Teen Alcohol Outcomes Study (TAOS) was supported by Duke University and the National Institute on Alcohol Abuse and Alcoholism (Grant No. AA016274 [to DEW]). DAAB was supported by the NIH (Grant No. T32-GM008151 ) and the National Science Foundation (Grant No. DGE- 1143954 ). LRF was supported by the National Institute on Alcohol Abuse and Alcoholism (Grant No. AA023693 ). CHD was supported by the NIH (Grant Nos. T32-DA007313 and T32-GM081739 ). AA was supported by the National Institute on Drug Abuse (Grant No. 5K02DA32573 ). ARH received additional support from the National Institute on Drug Abuse (Grant No. DA031579 ) and the National Institute on Aging (Grant No. AG049789 ). LMS was supported by the NIH (Grant Nos. K23 AA025399 and U01 DA041093 ). RB was supported by the Klingenstein Third Generation Research and the NIH (Grant Nos. R01-AG045231 , R01-HD083614 , and R01-AG052564 ). This article was published as a preprint on bioRxiv: https://doi.org/10.1101/299149 . All data pertaining to this study are available on request to the corresponding author. Datasets may also be accessed at the locations listed: Duke Neurogenetics Study (DNS): https://www.haririlab.com/projects/procedures.html Human Connectome Project (HCP): https://www.humanconnectome.org/ Teen Alcohol Onset Study (TAOS): Requests for data access should be submitted to the study principal investigator, Douglas Williamson, Ph.D.: douglas.williamson@duke.edu UK Biobank: http://www.ukbiobank.ac.uk Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia (AlcGen/CHARGE+): Requests for access to summary statistics should be submitted to the study principal investigator, Gunter Schumann, Ph.D.: gunter.schumann@kcl.ac.uk Genotype-Tissue Expression (GTEx)/CommonMind Consortium: Precomputed gene expression weights were provided by the Gusev lab: http://gusevlab.org/projects/fusion ; https://gtexportal.org ; https://www.nimhgenetics.org/resources/commonmind . All authors report no biomedical financial interests or potential conflicts of interest.
Publisher Copyright:
© 2019 Society of Biological Psychiatry
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Background: Alcohol use has been reliably associated with smaller subcortical and cortical regional gray matter volumes (GMVs). Whether these associations reflect shared predisposing risk factors or causal consequences of alcohol use remains poorly understood. Methods: Data came from 3 neuroimaging samples (N = 2423), spanning childhood or adolescence to middle age, with prospective or family-based data. First, we identified replicable GMV correlates of alcohol use. Next, we used family-based and longitudinal data to test whether these associations may plausibly reflect a predispositional liability for alcohol use or a causal consequence of alcohol use. Finally, we used heritability, gene-set enrichment, and transcriptome-wide association study approaches to evaluate whether genome-wide association study–defined genomic risk for alcohol consumption is enriched for genes that are preferentially expressed in regions that were identified in our neuroimaging analyses. Results: Smaller right dorsolateral prefrontal cortex (DLPFC) (i.e., middle and superior frontal gyri) and insula GMVs were associated with increased alcohol use across samples. Family-based and prospective longitudinal data suggest that these associations are genetically conferred and that DLPFC GMV prospectively predicts future use and initiation. Genomic risk for alcohol use was enriched in gene sets that were preferentially expressed in the DLPFC and was associated with replicable differential gene expression in the DLPFC. Conclusions: These data suggest that smaller DLPFC and insula GMV plausibly represent genetically conferred predispositional risk factors for, as opposed to consequences of, alcohol use. DLPFC and insula GMV represent promising biomarkers for alcohol-consumption liability and related psychiatric and behavioral phenotypes.
AB - Background: Alcohol use has been reliably associated with smaller subcortical and cortical regional gray matter volumes (GMVs). Whether these associations reflect shared predisposing risk factors or causal consequences of alcohol use remains poorly understood. Methods: Data came from 3 neuroimaging samples (N = 2423), spanning childhood or adolescence to middle age, with prospective or family-based data. First, we identified replicable GMV correlates of alcohol use. Next, we used family-based and longitudinal data to test whether these associations may plausibly reflect a predispositional liability for alcohol use or a causal consequence of alcohol use. Finally, we used heritability, gene-set enrichment, and transcriptome-wide association study approaches to evaluate whether genome-wide association study–defined genomic risk for alcohol consumption is enriched for genes that are preferentially expressed in regions that were identified in our neuroimaging analyses. Results: Smaller right dorsolateral prefrontal cortex (DLPFC) (i.e., middle and superior frontal gyri) and insula GMVs were associated with increased alcohol use across samples. Family-based and prospective longitudinal data suggest that these associations are genetically conferred and that DLPFC GMV prospectively predicts future use and initiation. Genomic risk for alcohol use was enriched in gene sets that were preferentially expressed in the DLPFC and was associated with replicable differential gene expression in the DLPFC. Conclusions: These data suggest that smaller DLPFC and insula GMV plausibly represent genetically conferred predispositional risk factors for, as opposed to consequences of, alcohol use. DLPFC and insula GMV represent promising biomarkers for alcohol-consumption liability and related psychiatric and behavioral phenotypes.
KW - Alcohol
KW - Gene expression
KW - Heritability
KW - Imaging
KW - Longitudinal
KW - Structure
UR - http://www.scopus.com/inward/record.url?scp=85075442976&partnerID=8YFLogxK
U2 - 10.1016/j.biopsych.2019.08.029
DO - 10.1016/j.biopsych.2019.08.029
M3 - Article
C2 - 31699293
AN - SCOPUS:85075442976
SN - 0006-3223
VL - 87
SP - 645
EP - 655
JO - Biological Psychiatry
JF - Biological Psychiatry
IS - 7
ER -