We are studying links between 72 long-term conditions (LTCs) that could help improve interventions and treatments, using data from:

• two large population-representative primary care datasets: CPRD and SIDIAP,
• up to three sources of genetics data: UK Biobank, FinnGen, and multiple consortium meta-analyses (where available).

⭐ If you use these resources please cite the below paper and link to the resource repository:

Murrin et al. (2025) A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data. eBioMedicine. https://doi.org/10.1016/j.ebiom.2025.105584

• 📚 Harmonised diagnostic codes for each long-term condition ascertained in GEMINI.
• 📦 R package {partialLDSC} to estimate partial genetic correlations from GWAS results.
• 🧬 GWAS summary statistics for the 72 LTCs are available to download via Zenodo.
• 📊 Interactive web browser of the pairwise observational and genetic correlations between 72 LTCs.

This work is supported by a UKRI Medical Research Council grant (MR/W014548/1) (PI: Professor Timothy Frayling).