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My initial Reminds me of @Snow Leopard annoyance at researchers repeatedly looking in the same place and --- spoiler alert --- finding nothing (again!). In terms of sensitivity (as per comment above) there are times when it's relevant e.g. I think blood sodium potassium ratio is critical - so...

Yea so poorer/less informed people can settle for poorer treatment ---- "All animals are equal, but some animals are more equal than others." (Orwell) But yes, why are our "champions" parroting this on behalf of the establishment? Reminds me of past times where one organisation was secretariat...

"In the meantime, the drug company scientists could see barn door that the data had to be significant because they used objective measures back up by pharmacodynamic profiles that could not conceivably have any other explanation. "...

Yea - here's the first reply -

I recall Jonathan posting that disease tends to stand out like a barn door - so yes - suggests that you need to change the strategy i.e. rather than looking again at "Y" with 2X sensitivity. That's basically what GWAS DecodeME aims to do --- move away from testing/retesting hypothesis. I still...

Option 1 - focused metabolomics i.e. post DecodeME - basically hypothesis free metabolomics will have reduced sensitivity (lower detection limits) - since you're looking as widely as possible. More focused metabolomics should have better detection limits and the levels will be more accurate...

If you look at NIH metabolomics talk (Dr Li - Jackson Laboratories) metabolite coverage is low in ME/CFS - most of the data is from Metabolon's "standard" package. Couple of thoughts: 1) GWAS (DecodeME) either via standard data analysis, or via PrecisionLife*, may identify potential...

Only read some of it - my reaction was to think --- why don't they [Long COVID] run a large GWAS [DecodeME size]? I think Jonathan posted (previously) that there was some evidence of abnormalities in clotting proteins - sort of theory GWAS would test.

Among other things - it took really big studies in Alzheimer's/dementia - like multiples of DecodeME.

My reply was wrong rather than "poorly worded" I think genetic studies get around "comorbid conditions" by selecting participants. Nath's [NIH] study [not a genetic study] also comes to mind - comments were made that he removed most people from the study i.e. due to comorbidities. DecodeME...

Sleep is actually quite interesting e.g. I think genes associated with sleep turned up in a Long COVID genetics study - check out the PrecisionLife presentation at the UniteToFight2024 Conference. Being able to measure brain clearance would be useful - may provide an insight into ME/CFS.

Ah, think I should have highlighted that genetics doesn't do "comorbid conditions" i.e. things you accidentally/incidentally have --- it just says what the actual problem is --- its advantage. Word of caution is that not every disease is genetic enough (for GWAS - DecodeME) to work --- results...

Basically the challenge AKA environmental(?) factor is your response to ongoing infection (gingivitis) but the pathogen isn't the discussion - more that you don't have to look for environmental factors -- just let the genes tell you what's going on. Jonathan posted that the recent big...

One of the things to keep in mind is that genetic study (GWAS) in Alzheimer's originally turned up a gene* which was difficult to interpret - it wasn't clear why the form of the gene related to risk. It is now assumed that gingivitis is the environmental factor i.e. explaining why the gene...

@forestglip further thought - check out Gulf War Syndrome* - "weak form of the PON1 gene were nine times more likely to develop GWI. Normally the PON1 gene protects you from low-level nerve gas, but there is a strong form and a weak form of the gene." So basically: common variant genetic...

I caught part of this presentation*, by PrecisionLife (they'll analyze the data from DecodeME) if I follow correctly, they identified genes/pathways relating to sleep in Long COVID. If e.g. Long COVID gets funding for a large genetic study [GWAS like DecodeME], and the [Long COVID] participants...

Check out this presentation: "Sayoni Das, PhD, SVP of Bioinformatics at PrecisionLife, Oxford, UK" - UniteToFight2024* From memory they identified genes related to sleep [i.e. from a (relatively small?) GWAS study - like DecodeME] - so possibly this led NIH to trial repurposing sleep...

useful slide - is David Tuller on this site?

I watched some of the PrecisionLife presentation - some genes common i.e. ME/CFS & long COVID. I'm guessing the presentation was substantially the same as the one at the recent NIH Genetics Roadmap webinar? Pathways/genes related to sleep - are NIH funding trials on sleep medications i.e. in ME/CFS?

@forestglip I bring good news! I recall that glyphosate (very commonly used weed killer) turned up a few years ago. From memory a small metabolomics study identified a pathway which relates to glyphosate metabolism. The good news is therefore that metabolomics can identify environmental...