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.
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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).
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One of the more interesting findings is that the pituitary (green bar below) now stood out in the tissue analysis.
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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)?
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Lastly, they also report that ME/CFS also had correlations with other post-infectious traits.
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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.