{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Mackey S"],"funding":["NIBIB NIH HHS","NIDCR NIH HHS","NIDA NIH HHS","NCRR NIH HHS","NIAAA NIH HHS","NIGMS NIH HHS"],"pagination":["203-23"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4820288"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["224"],"pubmed_abstract":["Since the sample size of a typical neuroimaging study lacks sufficient statistical power to explore unknown genomic associations with brain phenotypes, several international genetic imaging consortia have been organized in recent years to pool data across sites. The challenges and achievements of these consortia are considered here with the goal of leveraging these resources to study addiction. The authors of this review have joined together to form an Addiction working group within the framework of the ENIGMA project, a meta-analytic approach to multisite genetic imaging data. Collectively, the Addiction working group possesses neuroimaging and genomic data obtained from over 10,000 subjects. The deadline for contributing data to the first round of analyses occurred at the beginning of Ma"],"journal":["Progress in brain research"],"pubmed_title":["Genetic imaging consortium for addiction medicine: From neuroimaging to genes."],"pmcid":["PMC4820288"],"funding_grant_id":["R21 DA038381","U54 EB020403","UL1 RR024925","R01 AA021449","U54 EB 020403","UL1 DE019586","P20 GM103644","1P20GM103644-01A1","PL1 DA024859","R01 DA047119","P50 DA016556","1R21DA038381","R01 AA020504"],"pubmed_authors":["Sjoerds Z","Kan KJ","Desrivieres S","Batalla A","Garavan H","Feldstein Ewing SW","Yurgelun-Todd D","Goldstein RZ","Li CS","Pearlson G","Uhlmann A","de Ruiter M","London ED","Veltman D","Hibar DP","Alia-Klein N","Chaarani B","Cousijn J","Stein EA","Glahn DC","Luijten M","Wright MJ","Paulus MP","Jahanshad N","Conrod P","van Holst R","Brooks S","Momenan R","Walter H","Schluter R","Heitzeg MM","Yucel M","Martin-Santos R","Paus T","Schmaal L","Sinha R","Dagher A","Stein DJ","Tapert S","Morales AM","Hutchison K","Mackey S","Goudriaan AE","Lorenzetti V","Thompson PM","Schumann G","Solowij N"],"additional_accession":[]},"is_claimable":false,"name":"Genetic imaging consortium for addiction medicine: From neuroimaging to genes.","description":"Since the sample size of a typical neuroimaging study lacks sufficient statistical power to explore unknown genomic associations with brain phenotypes, several international genetic imaging consortia have been organized in recent years to pool data across sites. The challenges and achievements of these consortia are considered here with the goal of leveraging these resources to study addiction. The authors of this review have joined together to form an Addiction working group within the framework of the ENIGMA project, a meta-analytic approach to multisite genetic imaging data. Collectively, the Addiction working group possesses neuroimaging and genomic data obtained from over 10,000 subjects. The deadline for contributing data to the first round of analyses occurred at the beginning of Ma","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016","modification":"2025-04-04T12:38:39.402Z","creation":"2019-03-27T03:11:10Z"},"accession":"S-EPMC4820288","cross_references":{"pubmed":["26822360"],"doi":["10.1016/bs.pbr.2015.07.026"]}}