Arpana Agrawal A

This study identifies AUD-associated and ethanol-responsive proteins in human cortical organoids and finds candidate biomarkers linked to AUD and ethanol exposure.

The paper identifies genetic risks and phenotypic differences across five nicotine use modes using GWAS in the All of Us Research Program.

This study identifies stable associations between adult personality polygenic indices and childhood behaviors in the ABCD Study, showing early evidence of genetic influence on traits like mental health and impulsivity.

This study identifies time-dependent epistatic interactions between Oprm1 and Fgf12 that modulate opioid-induced locomotion in mice and links Fgf12 to opioid behavior in humans.

This paper conducts a multi-ancestry GWAS of stimulant use disorder, identifies 19 genome-wide significant loci, and finds genetic correlations with other psychiatric and substance use disorders.

This study shows that Cnih3 deletion in mice impairs spatial memory, reward-cue association, and fentanyl self-administration, with potential sex-specific effects on opioid use.

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

This study performs a genome-wide association study of chronic pain across six ancestries, identifying two significant loci and showing genetic correlations with mental and physical health traits.

This paper identifies childhood phenotypes associated with genetic risk for elevated CRP using a PheWAS in the ABCD Study, finding associations with weight, eating, and screen time that are largely independent of BMI.

This study investigates the polygenic relationship between cannabis use and schizophrenia using data from the All of Us Research Program, finding independent associations between polygenic scores for cannabis use disorder and schizophrenia.

The paper examines how changes in cognition and neural metrics over time relate to persistent distressing psychotic-like experiences in adolescents, finding that environmental risks are partially explained by these changes.

This study performs a multi-ancestral GWAS of DSM-defined nicotine dependence, finding genetic correlations with other substance use disorders and health traits, and identifying a strong general addiction liability factor.

This study examines how polygenic risk scores for Alcohol Use Disorder affect microglial responses to ethanol exposure in human iPSC-derived microglia.

This study identifies genetic correlations between substance use and aging indices, finding causal effects of tobacco and alcohol use on aging with alcohol effects dependent on quantity.

The paper uses multiomic profiling of the caudate nucleus to identify gene expression and chromatin changes in AUD, linking them to risk genes through QTL analysis.

This study investigates genetic correlations and causal relationships between schizophrenia, cannabis use disorder, and tobacco smoking across African and European ancestries, identifying pleiotropic loci and convergent genetic effects.

This paper identifies shared genetic risk loci between ADHD, cannabis use disorder, and cannabis use, and predicts cannabis use disorder risk in ADHD using polygenic scores.

GenomeMUSter integrates and harmonizes mouse genetic variation data across populations to enable multi-trait, multi-population analyses and improve variant-phenotype association studies.

This study investigates associations between COVID-19 and neuroinflammation markers using DBSI in UK Biobank data, finding increased vasogenic edema in specific brain regions.

The paper uses polygenic risk scores from GWAS to assess their association with suicidal thoughts and behaviors in a sample with alcohol use disorders, finding significant contributions from multiple PRS.

The paper examines the associations between autozygosity, cognitive ability, and parental educational attainment in a contemporary American sample, finding weaker effects compared to prior studies.

The paper shows that multi-omics integration fails to find true-positive novel genes from underpowered GWAS of brain-related traits, highlighting the need for larger sample sizes.

The paper examines genetic overlaps between suicide-related behaviors and substance use disorders using GWAS summary statistics and finds significant genetic correlations but little evidence of causation.

The paper integrates GWAS data with multi-omics datasets to identify novel genes for alcohol use disorder and link them to neurodegenerative diseases.

This study identifies genetic variants shared between schizophrenia and alcohol use disorder, finding both convergent and divergent effects and evidence of brain tissue expression.

This paper conducts a multivariate GWAS of AUDIT items to correct biases and identify novel genetic associations between alcohol consumption, misuse, and health outcomes.

This study identifies 29 risk variants for problematic alcohol use through a large meta-analysis and explores its genetic relationships with other traits.

The paper compares genome-wide data from opioid use and dependence cases to identify genetic associations and differences between exposure and dependence.

The paper uses fMRI pattern similarity analyses to examine individual and genetic differences in neural coding of working memory and perceptual category in FrontoParietal and Visual regions.