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Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with an alcohol use disorderPeter B Barr, Zoe Neale, Chris Chatzinakos, et al.
Genes, Brain, and Behavior|May 16, 2019
Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteriaDongbing Lai, Leah Wetherill, Sarah Bertelsen, et al.
Scientific Reports|October 7, 2022
Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyondNathan Gaddis, Ravi Mathur, Jesse Marks, et al.
Molecular Psychiatry|February 27, 2020
Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics ConsortiumRenato Polimanti, Raymond K Walters, Emma C Johnson, et al.
Medrxiv : the Preprint Server for Health Sciences|February 20, 2025
Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traitsEmma C Johnson, Dongbing Lai, Alex P Miller, et al.
Biological Psychiatry|January 26, 2019
Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol UseDavid M Brazel, Yu Jiang, Jordan M Hughey, et al.
Psychological Medicine|August 20, 2025
Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traitsEmma C Johnson, Dongbing Lai, Jared V Balbona, et al.
The Lancet. Psychiatry|October 23, 2020
A large-scale genome-wide association study meta-analysis of cannabis use disorderEmma C Johnson, Ditte Demontis, Thorgeir E Thorgeirsson, et al.
Nature Neuroscience|November 29, 2018
Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disordersRaymond K Walters, Renato Polimanti, Emma C Johnson, et al.
Molecular Psychiatry|January 9, 2019
Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic lociA Mesut Erzurumluoglu, Mengzhen Liu, Victoria E Jackson, et al.
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