The paper first wrote that HyPrColoc is a Bayesian method for identifying shared genetic associations between complex traits in a particular gene region using, but later on wrote apply HyPrColoc genome-wide to coronary heart disease (CHD) and many related traits. I thought that we usually run software such as MTAG for genome-wide cross-trait meta-analysis, and then for those shared loci we run colocaliation. So, now hyprcolor could do both analyses?
Also, your paper presented very interesting results: We perform a genome-wide multi-trait colocalization analysis of coronary heart disease (CHD) and fourteen related traits, identifying 43 regions in which CHD colocalized with ≥1 trait, including 5 previously unknown CHD loci. Across the 43 loci, we further integrate gene and protein expression quantitative trait loci to identify candidate causal genes. But I don't really see how that was done. The Vignettes is very brief. So, can you please share the scripts used to run the analyses mentioned above?
Hi, there:
The paper first wrote that HyPrColoc is a Bayesian method for identifying shared genetic associations between complex traits in a particular gene region using, but later on wrote apply HyPrColoc genome-wide to coronary heart disease (CHD) and many related traits. I thought that we usually run software such as MTAG for genome-wide cross-trait meta-analysis, and then for those shared loci we run colocaliation. So, now hyprcolor could do both analyses?
Also, your paper presented very interesting results: We perform a genome-wide multi-trait colocalization analysis of coronary heart disease (CHD) and fourteen related traits, identifying 43 regions in which CHD colocalized with ≥1 trait, including 5 previously unknown CHD loci. Across the 43 loci, we further integrate gene and protein expression quantitative trait loci to identify candidate causal genes. But I don't really see how that was done. The Vignettes is very brief. So, can you please share the scripts used to run the analyses mentioned above?
Thank you & best regards, Jack H.