Mohd Anisul Karim

The paper uses Mendelian Randomization to predict adverse drug reactions by linking genetic variants to gene expression and protein abundance across large datasets.

This study shows that plasma protein quantitative trait loci (pQTL) support therapeutic hypotheses more effectively than other genetic evidence, increasing the likelihood of drug development success.

This study uses large biobanks to identify gene-trait pairs with causal evidence, rediscover approved drug targets, and develop a predictive model for drug development.

This paper presents a blood regulatory variation map from Southern African populations, showing increased utility for interpreting African genetic studies.

The paper identifies 995 genes with shared genetic links to age-related diseases using GWAS data and presents them in a web tool for drug target prioritization.

The paper defines a standard format for GWAS summary statistics to improve data sharing and analysis.

This study uses multi-ancestry Mendelian randomization to identify six protein targets for COVID-19 severity, showing ancestry-specific effects.

This study identifies 13 genome-wide significant loci associated with SARS-CoV-2 infection or severe COVID-19 through a global meta-analysis of 49,562 patients.

The paper presents an open resource for fine-mapping and gene prioritization at GWAS loci, identifying causal variants and genes and improving drug target identification.

The paper identifies 2019 exome array variants affecting 2135 serum proteins and their association with hundreds of complex disease traits in the AGES Reykjavik cohort.