Search results

Digital Biometric Measures in Long COVID: A Secondary Analysis of the STOP-PASC Randomized Clinical Trial Fatma Gunturkun, Haley Hedlin, Bren Botzheim [Line breaks added] Key Points Question What are longitudinal digital wearable biometric measures and trajectory patterns in participants with...

I'd be really interested in a follow up of the brain enrichment by looking at enrichment in specific brain cell types. The brain finding is interesting, but hard to know what to do with it since the brain is a big place. The following studies show examples of looking at specific cell-type...

It looks like they're just making sure it's safe, since they refer to it as a "test", not a "treatment", at least in the abstract. I'm just concerned that: 1. Their symptom scale may not be well-suited enough to capture symptom exacerbation. 2. It may be the case that for most people with TBI...

Contents: 1 The history of chronic fatigue syndromes including ME/CFS and Long Covid 2 When to suspect ME/CFS or Long Covid 3 The diagnosis of ME/CFS and Long Covid 4 Primary ME/CFS or Long Covid versus secondary chronic fatigue 5 Theories of causation 6 What do you tell a patient? 7...

ME/CFS and Long Covid: Diagnosis and management of chronic fatigue syndromes Gavin Spickett [Line breaks added] Abstract This book covers the history and characteristic symptoms of ME/CFS and Long Covid in adults. Children are not discussed in detail. It discusses the extensive differential...

Exercise-Induced Symptom Exacerbation and Adverse Events in Moderate-to-Severe Traumatic Brain Injury Gallow, Sara BPhysio; McGinley, Jennifer PhD; Olver, John MD, FAFRM; McKenzie, Dean PhD; Williams, Gavin PhD Objective To determine the incidence of exercise-induced symptom exacerbation and...

@Chris Ponting, as arnoble says, can you clarify, was the tissue enrichment based on putting those 13 genes into a discrete gene set and seeing if those 13 genes specifically, without regard for their actual p-values/z-scores, were enriched among all genes expressed in a tissue? Or was every...

MAGMA manual if anyone wants to look. DecodeME says (bolding added): "These genes" does seem to imply that they looked at expression of specifically those 13 genes. Maybe it's just the wording. The bits I understand in the MAGMA papers seem to indicate that the gene-property analysis has a...

They're just different methods of predicting the important genes, so the results won't be exactly the same. (Again, keep in mind those 13 genes aren't necessarily related to the brain enrichment.) The candidate genes were determined based on genes known to be differentially expressed due to a...

Hmm. I think on its face that does make sense (though not sure how much confidence this actually allows us to have in selecting genes based on expression). I wonder if any of the papers I linked above that did MAGMA tissue analyses did anything similar. I didn't read any yet, just grabbed the...

Chris said in the webinar: That's a great benefit to those individuals of course if they could be notified that they have these rare diseases. But on top of that, I feel like this could be valuable for identifying common mechanisms of ME/CFS, if you don't take the position that these...

Yes, that's how I understand it. For each gene, they look at all the many SNPs that are in or around that area of the DNA where the gene's code is located to give that gene a score based on how significant those nearby SNPs were in the GWAS (how high they are in the manhattan plot). They account...

I thought it'd be interesting to compare the DecodeME result for the tissue analysis to other papers. I searched for "MAGMA tissue" in Google Images, DuckDuckGo Images, and searched in Google Scholar to find other papers that included plots like the one here. Panic disorder: Brain regions are...

I don't think that's what's happening though. I'm pretty sure the following is right, but it's hard to find good explanations. MAGMA is fully separate from the part where they selected candidate genes based on things like eQTLs and nearness. Instead they take every gene and assign it a score...

wigglethemouse posted them a few posts back. These are in order of significance, with most significant at the top.

Thanks for pushing back on their paper Hutan. The grouping looks even tighter in chillier's random data.

I think the rsids that have a "P" (for proxy) refer to another variant in LD with the DecodeME SNP that they tested in the other cohorts if the other cohorts didn't have the variant in question. The ones you named: 1. GRCh38 variant 13:53194927-GT-G rs35306732 2. GRCh37 variant 13:53750354:A:G...

I'm just learning about this, but I think technically these 13 genes weren't necessarily enriched in brain tissue. I'm having ChatGPT explain MAGMA to me, and it says it's basically two different analyses. The 13 highest scoring genes from the first part are likely to play a role in the brain...

On the topic of the brain expression, I don't remember much discussion about this yet. While all 13 brain tissues had enrichment of ME/CFS genes, there is an ordering of most to least significant that might give some clues. Written out and grouped: I added pituitary gland even though it...

On the topic of "what does DecodeME" show, my feeling is that it's really early for anyone to be saying with much confidence that the genes they found point to any specific pathway. From the DecodeME blog and paper respectively: Here are the candidate genes suggested by DecodeME: Is it...