{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Srinivasan C"],"funding":["Carnegie Mellon Computational Biology Department Lane Postdoctoral Fellowship","NIDA NIH HHS","HHS | NIH | National Institute of General Medical Sciences","Carnegie Mellon Brainhub Presidential Fellowship","HHS | NIH | National Institute on Drug Abuse","Alfred P. Sloan Foundation","NIGMS NIH HHS","National Science Foundation"],"pagination":["9008-9030"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8549541"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["41(43)"],"pubmed_abstract":["Recent large genome-wide association studies have identified multiple confident risk loci linked to addiction-associated behavioral traits. Most genetic variants linked to addiction-associated traits lie in noncoding regions of the genome, likely disrupting <i>cis</i>-regulatory element (CRE) function. CREs tend to be highly cell type-specific and may contribute to the functional development of the neural circuits underlying addiction. Yet, a systematic approach for predicting the impact of risk variants on the CREs of specific cell populations is lacking. To dissect the cell types and brain regions underlying addiction-associated traits, we applied stratified linkage disequilibrium score regression to compare genome-wide association studies to genomic regions collected from human and mous"],"journal":["The Journal of neuroscience : the official journal of the Society for Neuroscience"],"pubmed_title":["Addiction-Associated Genetic Variants Implicate Brain Cell Type- and Region-Specific Cis-Regulatory Elements in Addiction Neurobiology."],"pmcid":["PMC8549541"],"funding_grant_id":["DP1 DA046585","1DP1DA046585","DGE1745016","F30 DA053020","T32GM008208","F30DA053020","T32 GM008208"],"pubmed_authors":["Phan BN","Ramamurthy E","Lawler AJ","Brown AR","Srinivasan C","Kleyman M","Kaplow IM","Wirthlin ME","Pfenning AR"],"additional_accession":[]},"is_claimable":false,"name":"Addiction-Associated Genetic Variants Implicate Brain Cell Type- and Region-Specific Cis-Regulatory Elements in Addiction Neurobiology.","description":"Recent large genome-wide association studies have identified multiple confident risk loci linked to addiction-associated behavioral traits. Most genetic variants linked to addiction-associated traits lie in noncoding regions of the genome, likely disrupting <i>cis</i>-regulatory element (CRE) function. CREs tend to be highly cell type-specific and may contribute to the functional development of the neural circuits underlying addiction. Yet, a systematic approach for predicting the impact of risk variants on the CREs of specific cell populations is lacking. To dissect the cell types and brain regions underlying addiction-associated traits, we applied stratified linkage disequilibrium score regression to compare genome-wide association studies to genomic regions collected from human and mous","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Oct","modification":"2026-06-17T06:24:16.085Z","creation":"2025-02-19T01:26:08.985Z"},"accession":"S-EPMC8549541","cross_references":{"pubmed":["34462306"],"doi":["10.1523/JNEUROSCI.2534-20.2021"]}}