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6 posts tagged with "drug targets"

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Using genetics to prioritise therapeutic targets for immune-mediated diseases


Immune-mediated diseases such as asthma, eczema, inflammatory bowel disease, rheumatoid arthritis and multiple sclerosis share parts of the same immune biology, but translating that biology into therapeutic targets is still difficult. In a new paper in Scientific Reports, Maria Sobczyk and Tom Gaunt use integrative Mendelian randomization (MR) approaches to evaluate potential drug targets across 14 immune-mediated diseases.

Venn diagrams comparing immune-cell-informed MR and protein-QTL MR evidence across immune-mediated diseases.

Figure: Overlap between immune-cell-informed MR and protein-QTL MR evidence for gene-immune-mediated disease associations, illustrating why combining molecular layers adds information beyond either approach alone. Source: Sobczyk and Gaunt, Scientific Reports, 2026, Fig. 4 (CC BY 4.0).

Building a Human Genotype-Phenotype Map


Genome-wide association studies have mapped thousands of genetic associations, but interpreting what those associations mean biologically remains a central challenge. In a new medRxiv preprint, Andrew Elmore, Aimee Hanson, Genevieve Leyden and colleagues introduce the Human Genotype-Phenotype Map (GPMap), an open resource for tracing shared genetic signals across complex traits and molecular measurements.

GPMap processing pipeline from GWAS summary statistics to trait, gene, variant and tissue views.

Figure: GPMap processing pipeline, from GWAS summary statistics through imputation, fine-mapping, colocalisation and views by trait, gene, variant and tissue. Source: Elmore et al., medRxiv, 2026, Fig. 1 (CC BY-ND 4.0).

Proteome-wide Mendelian randomization in global biobank to identify multi-ancestry drug targets


Overview

Genetic studies have been very biased towards populations of European ancestry in western Europe and the United States of America, and this has led to a significant bias in the application of Mendelian randomization (MR) to identify intervention targets. In this project we worked with a leading international genetics consortium, the Global Biobank Meta-analysis Initiative (GBMI) to evaluate the differences in predicted drug target effects between African and European ancestry populations.