ME/CFS Bioinformatics Repository

[tralfamadorian97]

@tralfamadorian97 just looking back on this, how do you decide which files to use?

Here is a list of LD matrix files available from the Broad Institute. These files are named according to the scheme <chromosome>_<start_position_hg19>_<end_position_hg19>. To fine-map each of DecodeME's hits, I downloaded the LD matrix file whose chrom/start_hg19/end_hg19 genomic coordinates contained the location of the hit.

 

[ChronicallyOverIt]

Random idea, but a lot of advocacy relies on incidence and prevalence, along with GDP loss.

I wonder if we could build a tool where you can use different incidence and prevalence modelling to estimate GDP loss for your country. Seems like people replicate this work quite a bit based on different forecasts and countries.

I’m imagining a dashboard where you can select your country, the modellling, and it shows this data.

 

[Utsikt]

Random idea, but a lot of advocacy relies on incidence and prevalence, along with GDP loss.

I wonder if we could build a tool where you can use different incidence and prevalence modelling to estimate GDP loss for your country. Seems like people replicate this work quite a bit based on different forecasts and countries.

I’m imagining a dashboard where you can select your country, the modellling, and it shows this data.

I like the idea in theory, but there are a lot of variables to account for on a national basis, with vastly different welfare systems. So making a universal formula might be practically impossible.

The recent EOCD report on LC might provide some clues about the financial variables (chapter 2.2), but I don’t think their model is sound in terms of estimating the rate of LC. It overestimates the LC rate per infection (10 % being sick for 2 years) and underestimates the infection rate (once every ~20 years if I remember correctly!). Although if you assume only 1 % stay sick for 2 years with a small minority of those never recovering, and an infection every 2 years, the estimate will be roughly the same.