We are studying links between 72 long-term conditions 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).
⭐ Our preprint is available! If you use these resources please cite the below and include the resource release version:
Murrin et al. (2024) A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data. medRxiv. https://doi.org/10.1101/2024.05.13.24307009
- 📚 Harmonised diagnostic codes for each long-term condition ascertained in GEMINI.
- 📦 R package {partialLDSC} to estimate partial genetic correlations from GWAS results.