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PROJECT SUMMARY Nicotine and alcohol dependence represent major global health concerns as leading causes of preventable morbidity and mortality. Despite their global burden, pharmacological treatment options are limited, in large part because their molecular mechanisms remain unclear. Cigarette smoking and alcohol use traits are heritable, and genome-wide association studies (GWAS) have provided robust evidence for common variants in nearly 400 genomic regions that influence smoking and/or alcohol use traits. However, the vast majority of associated variants reside in non-coding DNA, and their target genes, gene networks, and relevant neurobiological mechanisms are poorly understood. The critical first step of the proposal is to identify neurobiologically-relevant target genes of known loci by applying H-MAGMA to a comprehensive set of large, well-powered GWAS for smoking and alcohol use traits, including nicotine dependence (ND), cigarettes per day (CPD), smoking cessation (CS), alcohol use disorder (AUD), and alcohol drinks per week (DPW). Once the putative target genes are identified, we will characterize their (1) molecular function and biological pathways using gene set enrichment analyses, (2) cellular expression profiles based on single cell transcriptomic datasets, and (3) developmental expression trajectories based on temporal transcriptomic atlas. This will refine the molecular mechanism, central cell type, and developmental window critical for using and developing addiction to cigarette smoking and alcohol. Further, because we will use a coherent framework (H-MAGMA) to decipher biological underpinnings of all five GWAS of smoking and alcohol use traits, our proposed study will allow the systematic characterization and comparison of different GWAS. Our comparison will result in the identification of pleiotropic genes associated with developing addiction to cigarette and alcohol, which would reveal core mechanisms underlying addiction.
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Smoking-informed methylation and expression QTLs in human brain and colocalization with smoking-associated genetic loci.
人脑中吸烟相关的甲基化和表达 QTL 以及与吸烟相关基因位点的共定位。
DOI: 10.1101/2023.09.18.23295431
发表时间: 2023
期刊: medRxiv : the preprint server for health sciences
影响因子: --
作者: [Carnes,MeganUlmer, Quach,BryanC, Zhou,Linran, Han,Shizhong, Tao,Ran, Mandal,Meisha, Deep-Soboslay,Amy, Marks,JesseA, Page,GrierP, Maher,BrionS, Jaffe,AndrewE, Won,Hyejung, Bierut,LauraJ, Hyde,ThomasM, Kleinman,JoelE, Johnson,Eric]
通讯作者: Johnson,Eric
Annotating genetic variants to target genes using H-MAGMA.
使用 H-MAGMA 将遗传变异注释到目标基因。
DOI: 10.1038/s41596-022-00745-z
发表时间: 2023
期刊: Nature protocols
影响因子: 14.8
作者: [Sey,NancyYA, Pratt,BrandonM, Won,Hyejung]
通讯作者: Won,Hyejung
DOI: 10.1016/j.molcel.2022.11.016
发表时间: 2022-12
期刊: Molecular cell
影响因子: 16
作者: [A. Plaza-Jennings;A. Valada;Callan O’Shea;Marina Iskhakova;Benxia Hu;B. Javidfar;Gabriella Ben Hutta;Tova Y Lambert;Jacinta Murray;Bibi S. Kassim;Sandhya Chandrasekaran;Benjamin K. Chen;Susan Morgello;Hyejung Won;S. Akbarian]
通讯作者: A. Plaza-Jennings;A. Valada;Callan O’Shea;Marina Iskhakova;Benxia Hu;B. Javidfar;Gabriella Ben Hutta;Tova Y Lambert;Jacinta Murray;Bibi S. Kassim;Sandhya Chandrasekaran;Benjamin K. Chen;Susan Morgello;Hyejung Won;S. Akbarian
Limited Association between Schizophrenia Genetic Risk Factors and Transcriptomic Features.
精神分裂症遗传危险因素和转录组特征之间的关联有限。
DOI: 10.3390/genes12071062
发表时间: 2021-07-12
期刊: Genes
影响因子: 3.5
作者: [Yu AW, Peery JD, Won H]
通讯作者: Won H
10
    Using H-MAGMA to decipher neurobiological bases of smoking and alcohol use traits
    Connecting gene regulatory mechanisms in human brain to psychiatric illness
    Connecting gene regulatory mechanisms in human brain to psychiatric illness
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