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    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Is this what they did: a) identify gene-sets for each of 54 tissues (from GO? where?) b) MAGMA test: for each such gene-set, do member genes (out of the total 18,637 genes) have, on average, lower p-values than all other non-gene-set genes c) only 13 genes belonged to these MAGMA gene-sets
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    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    @wigglethemouse has taken up the MAGMA baton, thankfully. Meanwhile this non-scientist is trying to make sense of the MAGMA paper - if you experts can explain what is going on here, it will avoid me repeatedly using my forehead...
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    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Many thanks. Try as I might, I cannot find anything about non-coding genes. The paper states "There were 43 protein-coding genes with at least one eQTL within an ME/CFS genome-wide significant interval, and we prioritised 29 ME/CFS candidate causal genes among them..." which sounds like they...
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    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Why did decode focus on protein-coding genes only? Are dodgy miRNA pathways of no interest?
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    Preprint Initial findings from the DecodeME genome-wide association study of myalgic encephalomyelitis/chronic fatigue syndrome, 2025, DecodeMe Collaboration

    Why is the MAGMA analysis of seemingly little interest in this thread? Do people not like MAGMA analysis? The results (all brain tissues) seemed very interesting to my non-scientist eyes.
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    Genetics: FBXL4

    In the same section of CP's "Candidate" document, I am puzzling over this nearby miR-2113 locus: "The interval also contains a non-protein long noncoding RNA locus (RP11-436D23.1) (25) which contains a miRNA locus (miR-2113) of unknown function. The allele that increases the risk of ME/CFS is...
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    Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study [...], 2025, Thomas, Armstrong, Bergquist et al

    I know syntax is sloppy nowadays, but I see several examples in this paper which I take to be a lack of care generally - one of my bugbears maybe: "Power calculations were conducted ... to detect a statistically significant difference, based effect sizes (Cohen’s d) observed in the dataset."...
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    SMPDL3B a novel biomarker and therapeutic target in myalgic encephalomyelitis, 2025, Moreau, Fluge, Mella et al

    "In the logistic regression analysis accounting for age, sex, and plasma SMPDL3B levels, we found that ..." Why would their covariates not have included i) contraception use, ii) co-morbidities (ME vs HC are wildly different) I'm a non-scientist but even I would have done a multivariate...
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    The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour 2025 Wang et al

    @jnmaciuch you have been a great help to me - thank you so much. ChatGPT/Gemini have been helping me a lot (I apply a reasonable grain of salt). As you suggest, I will try StatQuest and some more scRNA-seq articles and see how that goes. I also use R so will try playing with some libraries and...
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    The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour 2025 Wang et al

    @jnmaciuch you have explained all that very clearly - I am really grateful. Is there a resourse (eg book) that would explain these sorts of techniques? I am trying to teach myself, but it's not efficient for me, and I am reluctant to burden busy folks at s4me with my endless questions. Once...
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    The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour 2025 Wang et al

    Also, perhaps my non-expert eye is reading things wrongly, but Extended Data Fig5a shows: ... the 2nd UMAP shows brain labelled for TH2-like ... whereas the adjoiningTcell differentiation plot shows TH1
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    The subfornical organ is a nucleus for gut-derived T cells that regulate behaviour 2025 Wang et al

    Would you be able to point a non-scientist (struggling to understand all the techniques in this paper) to a figure or text section where you would have expected to see the batch correction language? With only 5 mice and small numbers of human samples, I am struggling to understand the need for...
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    The ELAROS NHS digital system for patient/clinician digital sharing questionnaire data, includes Yorkshire Rehab. Scale and Open-OH app

    I just sent this: Dear MEA My wife received her ME diagnosis 25 years ago. It has been a long uphill (downhill, actually) struggle. We know several other ME pilgrims. Because it is chronic, ME sufferers have had time to sort out fact from fiction: ... there is no treatment; actually strike...
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    The ELAROS NHS digital system for patient/clinician digital sharing questionnaire data, includes Yorkshire Rehab. Scale and Open-OH app

    I had to delete the app - was making my blood boil that money can be found for frippery like this. There isn't any help for pwME, except the hope that scientists will be allowed to discover what's really going on; pwME know this; scientists know this. So how do human affairs end up being led by...
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    The ELAROS NHS digital system for patient/clinician digital sharing questionnaire data, includes Yorkshire Rehab. Scale and Open-OH app

    Downloaded the app today. Money for research takes time and effort ... it's complicated and unglamorous; but hang on, lashing together a shiny APP with useless/harmful regurgitated content, with lots of useless VIDEOs ... that would PROVE we're DELIVERING. How can I best tell MEA how...
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    Brain and muscle chemistry in ME/CFS and long COVID: a 7T magnetic resonance spectroscopy study, 2025, Godlewska et al

    In metabolics studies, do best-practise protocols prefer to measure changes in response to some challenge, rather than just snapshot an unknown set of baselines?
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    Brain and muscle chemistry in ME/CFS and long COVID: a 7T magnetic resonance spectroscopy study, 2025, Godlewska et al

    Given baseline uncertainty, would it be more informative for MRS studies to measure differential metabolites, before and after some task?
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    Assessment of the Gut Microbiome in Patients with Coexisting Irritable Bowel Syndrome and Chronic Fatigue Syndrome, 2025, Chojnacki

    That these 2 metabolites come from brain cells lend support to any hypotheses/studies? Gut-Vagus nerve connections? Brain inflammation studies? T-cell activation or trafficking? Does their presence lend support to Robert Phair's efforts?
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