I watched the presentation by Hanna M. Ollila titled "The Future of MECFS Genetics". She gave a good impression and presented findings from the big meta-analysis. Here's the direct link to the video:
EDIT: I've updated the images to versions with a better resolution.
The meta-analysis has 60,542 cases and 2,766,590 controls. Based on the slides, they included cases based on self-reported chronic fatigue and those with a diagnosis pos-viral fatigue syndrome. So a wider net than just ME/CFS.
Here's the Manhhatten plot. Despite the large increase in cases, they found (only) 11 loci (DecodeME's primary analysis found 6 hits with ca 15.000 cases).
One of the more interesting findings is that the pituitary (green bar below) now stood out in the tissue analysis.
They also found large genetic correlations between Long Covid and ME/CFS and Long Co id and fibromyalgia. ALthough I'm not sure how they end up with values of rg = 0.99 and if these are reliable. The standard errors also look quite large, suggesting there may be an issue with this calculation (perhaps due to the low heritability h^2)?
Lastly, they also report that ME/CFS also had correlations with other post-infectious traits.
I stil have doubts with this wider net approach but it does look interesting and might offer a slightly different perspective. Perhaps it would be worthwhile to do a meta-analysis by combining ME/CFS, LC and fibromyalgia samples.