Abbas Dehghan

This paper identifies shared genetic loci between inflammation and cancer risk using non-causal associations, revealing potential therapeutic targets.

This study identifies genetic variants influencing miRNA expression and links them to disease associations using genome-wide association studies and Mendelian randomization.

The paper investigates the role of WDPCP in alcohol consumption, lipid metabolism, and liver cirrhosis using human and model organism studies.

This study identifies DNA methylation sites associated with coffee and tea consumption using EWAS, finding potential links to fatty liver disease through PHGDH expression.

This study identifies new genetic loci associated with myocardial infarction and coronary heart disease using genome-wide association analyses across multiple cohorts.

The paper identifies genetic variants and transcripts associated with glycemic traits by analyzing exome-array data from 144,600 individuals, highlighting tissue-specific roles in glucose regulation.

This study conducts a large GWAS on heart failure, identifying 12 genetic loci with associations to CAD, atrial fibrillation, and reduced left ventricular function, and provides causal evidence for several risk factors.

The paper uses genetic variants to investigate side effects and repurposing potential of antihypertensive drugs, finding a link between calcium channel blockers and increased diverticulosis risk.

This study identifies nine novel DNA methylation sites associated with fasting glucose and insulin levels by integrating cross-omics data from multiple cohorts.

This paper evaluates the causal effect of fibrinogen on coronary heart disease using Mendelian randomization, finding a small effect with multi-variant methods but not with single variant approaches.

This study evaluates the causal relationship between DNA methylation and CRP using Mendelian randomization and finds potential causal effects of DNA methylation on CRP levels at three CpG sites.

This study identifies 99 genetic loci associated with general cognitive function using data from 280,360 individuals, finding genes linked to brain structure and neurodegenerative disorders.

The paper investigates genetic correlations between psychiatric and immune-related phenotypes using GWAS summary data, finding significant shared genetic variants.

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.