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Probably this study by Peter Novak: https://www.nature.com/articles/s41598-024-52368-x

Not sure if the term 'autonomic symptoms' is a useful category. For at least some of the symptoms it seems that the problem could lie elsewhere than in the autonomic nervous system?

I don't think there's a paradox here. It just shows that the author probably doesn't know anyone with ME/CFS and how a life with severe ME/CFS looks like. Talking to patients and getting to know their life (as Jo has done here and on Phoenix Rising) would help doctors to understand the illness...

They seem to say that they found something similar to the preload failure of Systrom's group: The novel aspect of the paper seems to be that they used O2 pathway analysis, which tries to break down oxygen transport into different aspects. In ME/CFS and Long Covid patients, the problem seems to...

In the DecodeME sample, they did quite some efforts with the questionnaires + self-reported clinical diagnosis to ensure patients had ME/CFS. So I don't think its likely that misdiagnosis would affect the results so much to create spurious relationships of this magnitude. Another option is that...

Social media summary: 1) A new paper found a slight increase of Fibroblast growth factor 21 (FGF-21) in ME/CFS patients compared to controls. FGF-21 is a hormone-like protein that helps to regulate metabolism and has been found to be increased in previous ME/CFS studies. 2) Below is the data...

The intercept of LDSC is often used as a measure of stratification effects or confounding bias. It should be close to 1. If it is substantially higher, it would suggest that population differences between group are inflating the p-values. The good news is that this isn't the case in DecodeME...

With the help of @forestglip, I've finally managed to run linkage disequilibrium score regression (LDSC) on the DecodeME results. The original package is written in the outdated Python 2 which caused all sorts of errors. So I've used the Python package GWASlab which provides a wrapper function...

Social media summary: 1) 7 new ME/CFS projects have received funding from the Dutch research agency ZonMw. All projects look high-quality and focus on different aspects such as the brain, muscle, microbiome, viruses, orthostatic intolerance, and the immune system. A brief overview 2) The...

7 new ME/CFS projects have received funding from the Dutch research agency ZonMw.All projects look high-quality and focus on different aspects such as the brain, muscle, microbiome, viruses, orthostatic intolerance, and the immune system...

I also think that the UK Biobank has a lot of these depression and anxiety related categories and less for autoimmune or mitochondrial disorders. There also seems to be a difference between the 0.7-0.75 correlation for CFS and IBS and the 0.5-0.55 for the depression categories. But in all, it...

Thanks, makes more sense to do a bonferroni correction, the results are largely the same. I assumed that those with an rg value of 9999 are unvalid, so after excluding those I got 3167 remaining tests. So the bonferroni p_value is the p value times 3167. I will update the results above.

I suspect you filtered on the lowest p-values? One issue is that this may be affected by the sample size of the trait rather than the strength of correlation with ME/CFS. Because we also want to avoid having lots of false positives, I tested an arbitrary threshold of p < 0.00005 and then ranked...

The DecodeME questionnaire asked about 'Clinical depression' as one of the other conditions participants might have. It would be interesting to see if the answer to this question determines the similarity to the depression GWAS. In other words, if we see similar results in ME/CFS patients, if...

Thanks, I suspect this will be one of the areas where the preprint may need to adjust the wording a bit. There does seem to be a link/similarity to depression based on genetic data. That seems like a confirmation of the data that this came out on top in the UK Biobank. That's a bit surprising...

There were more ME/CFS papers on this then I expected (26 in total for the ME/CFS only category)! The sample size for ME/CFS participants, however, was smaller than 50 in all but three: an old SPECT study from 1992 (Ichise) and then Van Campen/Visser studies. I suspect that the latter two will...

Yes this is one of the top hits for depression, discussed in this big depression GWAS: Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions | Nature Neuroscience

Thanks for this review. It must have been an enormous task: screening 11,218 papers and 367 full-texts! What I'm missing though is some focus on the effect size: how large is the reduction in cerebral blood flow, what is the variation among patients, how big is the overlap with healthy...

In other GWAS I read that they compared their results to those of other conditions using LD Hub. Unfortunately that tool no longer seems to be available but perhaps BIGA GWAS might be an alternative? Bivariate Cross-trait Genetic Architecture Analyses of GWAS

As mentioned in the DecodeME paper OLFM4 is also a clear hit in GWAS on depression. Here's what their Manhatten plot looks like. That big peak on Chromosome 13 is the OLFM4 region. The effect size is quite small though, an odds ratio around 1.04. Genome-wide association analyses identify 44...