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  1. forestglip

    Genetics: HLA-DQA*05:01

    Yes, the same two alleles that were risk alleles for ME/CFS in this other study: Human Leukocyte Antigen alleles associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): Fluge, Mella et al 2020 I feel like I must be missing something, because why was there never much...
  2. forestglip

    Genetics: HLA-DQA*05:01

    Maybe. In theory this could mean people with ME/CFS have other HLA alleles that are good at presenting junk. But HLA alleles are different from regular DNA since there are very many possible HLA alleles, plus each person has several different alleles. So not having this gene doesn't necessarily...
  3. forestglip

    Genetics: HLA-DQA*05:01

    Are you referring to a different gene in the main part of the study? This HLA part was looked at separately and they found another protective gene here (though they say they'll need to verify the association is correct).
  4. forestglip

    Genetics: HLA-DQA*05:01

    Yeah, that could be good. They just have EBV, COVID, or other (columns are females, males, total, and total percent)
  5. forestglip

    Genetics: HLA-DQA*05:01

    Well this specific allele from the study seems to protect against getting ME/CFS, which I don't think would fit with that. Maybe it's more like it's good at presenting a specific virus to T cells that is a common cause of ME/CFS and this fights the infection more quickly?
  6. forestglip

    Genetics: HLA-DQA*05:01

    Just in case there's a connection, this other study found other suggestive (not significant after correction) protective HLA alleles (one of which, interestingly, it says, is protective against rheumatoid arthritis): Human Leukocyte Antigen alleles associated with Myalgic...
  7. forestglip

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

    The paper says this, so that shouldn't be the case: "A1FREQ is the frequency of the effect allele in the combined cohort."
  8. forestglip

    Genetics: HLA-DQA*05:01

    HLA-DQA*05:01 Potential association from DecodeME:
  9. forestglip

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

    I wonder how much overlap there was between the cases in DecodeME and the 10,327 cases in the UK Biobank.
  10. forestglip

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

    Here are those 8 SNPs from the summary stats for GWAS 1: I'm confused about how the frequency in cases and controls separately for several of these can both be higher than the frequency combined.
  11. forestglip

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

    It's certainly more significant in DecodeME than in the replication. It just didn't reach the strict threshold for genome-wide significance of p<5x10-8 so it wasn't reported as a candidate locus/gene. In DecodeME, it got p=2.48x10-7. In the replication, it got p=.027 (before multiple test...
  12. forestglip

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

    I wonder if there will be an analysis that looks at only severe or only severe+moderate patients. Excluding mild still leaves you with 71% of the participants. Maybe there would be other interesting findings. Maybe larger effect sizes.
  13. forestglip

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

    Just had a quick look at if any of the top 25 significant genes from Table S3 were significant in a few other genetic studies. I only have the genes saved from a few of the genetic studies that have been done, so I hope to check others too at some point, but I found that DCC and CDK5RAP1 were...
  14. forestglip

    Donate to build on the work of DecodeME

    Also done. Let's get that whole genome study, SequenceME, or whatever else they've got cooking.
  15. forestglip

    DecodeME blog: X marks the spot where ME/CFS biology can be discovered

    Yes, these specific parts: Edit: Seems to pretty much be all over the brain though.
  16. forestglip

    DecodeME blog: X marks the spot where ME/CFS biology can be discovered

    Such a historic moment for ME/CFS and related conditions. Thank you to everyone on the DecodeME team, the patients, and everyone else who helped make this happen.
  17. forestglip

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

    If you look at the table I posted a few posts up, it shows the frequency of the effect allele under A1FREQ. So for RABGAP1L, it says 0.325, which means 32.5% of the combined cases and controls had the effect/risk allele.
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