Hello all. We had expected our MedRXiv preprint to have appeared by now (we submitted it several days ago), which would have better clarify our thoughts. We worked for over a year, checking and double-checking results from both this project and from DecodeME's. The replication between independent cohorts seen in this new project is really encouraging; the genetic associations seen both by DecodeME and by the fibromyalgia meta-GWAS consortium are also really encouraging. Overall, we have confidence in both sets of findings. How to reconcile them then, or at least explain their differences? In summary, we think the "ME/CFS phenotype" present in population biobanks is not the same as the "ME/CFS phenotype" ascertained in DecodeME. Perhaps this also explains why we reported a low level of replication between DecodeME and population biobanks in the 2025 DecodeME preprint. In the new preprint (Slaughter et al., 2026) we outline our thoughts:
"Comparison with the initial DecodeME GWAS showed no overlap in significant loci. Further, a direct look-up of our replicated variants in DecodeME cases using the same estimation strategy found none of the replicated loci to be associated with ME/CFS risk. As control individuals overlap between the UK Biobank and DecodeME cohorts, this look-up is not formal replication. This absence of shared associations could reflect differences in case cohorts and their diagnoses. On average, DecodeME participants are about twenty years younger than UK Biobank participants. This means that more of their ME/CFS diagnoses will have been recent, and the applied criteria more often involved PEM. Further, more of their diagnoses will have been made in specialist ME/CFS services in England, which were set up from 2004. Diagnoses during referrals to some specialist ME/CFS clinics identify about twice as many alternative (i.e., non-ME/CFS) diagnoses during referrals than ordinary clinics: about 50% in specialist ME/CFS clinics (Newton et al, 2010; Devasahayam et al, 2012) versus 23% in ordinary clinics (Collin et al, 2012). It is likely that because ME/CFS charities were centrally involved in their recruitment, DecodeME participants were better informed about ME/CFS symptoms, especially PEM, and so had better informed GP consultations and more frequent specialist referrals. In addition, DecodeME participants are more severely affected: 71% are at least ‘moderately’ affected, meaning that they have symptoms that restrict their activities of daily living, and most have stopped work or education (Genetics Delivery Team et al, 2025). By contrast, all UKB participants were sufficiently well to attend a recruitment centre in person. Similarly, All of Us participants are generally older than DecodeME participants and thus are more likely to have been diagnosed using older criteria not requiring PEM. Notably, however, All of Us participants could be enrolled and provide their saliva DNA sample from home (Bick et al, 2024), and so may include more severely affected people with ME/CFS than UKB.
DecodeME applied clinically relevant criteria for ME/CFS, namely the Canadian Consensus Criteria (Carruthers et al, 2003) and the 2015 Institute of Medicine Criteria (Committee on the Diagnostic Criteria for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome et al, 2015), which both require PEM for inclusion. By contrast, the UKB and the AoU Research Program do not capture explicit evidence for PEM. Our phenotype criteria instead relied on synthesising self-report, diagnostic codes, symptom data, pain questionnaires, and health ratings. This multi-evidence approach provided internal consistency but did not apply PEM-based criteria."
We hope this helps, and provides some reassurance.