Murrin O, et al. A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data. EBioMedicine. 2025 Mar;113:105584. doi: 10.1016/j.ebiom.2025.105584. Epub 2025 Feb 6. PMID: 39919332; PMCID: PMC11848100.
- A summary of information of 84 Gemini diseases, icd domain classification, prevalence in observational datasets, heritability, GWAS effective sample size and data sources.
- A table of the population characteristics in the datasets accessed (CPRD, SIDIAP and UK BIOBANK) Age and diagnosis at index date (2020 for health record data and 2016 (last available data collection date) in UK Biobank. The average number of GEMINI conditions out of 72 at index date is calculated.
- Number of diseases assigned to 13 ICD-10 chapter domains for the final 72 conditions.
- Meta analysed odds ratios for 2556 pairs of diseases. The p values are adjusted for multiple testing based on 2556 pairs (p_bh_heatmap) and 2546 pairs p_bh_scatter plot) due to pairs with similar codelists being removed. The Q test was conducted to assess the heterogeneity among effect sizes in the fixed-effects meta-analysis The null hypothesis of the Q test is that there is no true heterogeneity among the effect sizes, meaning that any observed differences are due to sampling error alone.
- Genetic correlation (Rg) for 2556 diseases pairs. The p values are adjusted for multiple testing based on 2556 pairs (p_fdr_heatmap) and 2546 pairs p_fdr_scatter plot) due to pairs with similar codelists being removed.
- Mentioned pairs in Results: associations and strength of all pairs mentioned in the results section by section number.
Diagnostic code lists for the 84 diseases are available from: https://github.com/GEMINI-multimorbidity/GEMINI-LTC-code-list-Public
GWAS summary statistics for the 72 LTCs are available to download: https://doi.org/10.5281/zenodo.14284046.