Defining a High-Quality Myalgic Encephalomyelitis/Chronic Fatigue Syndrome cohort in UK Biobank DOI Creative Commons

Gemma L. Samms,

Chris P. Ponting

NIHR Open Research, Journal Year: 2025, Volume and Issue: 5, P. 39 - 39

Published: April 28, 2025

Background Progress in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) research is being slowed by the relatively small-scale studies performed whose results are often not replicated. could be accelerated analyses of large population-scale projects, such as UK Biobank (UKB), which provide extensive phenotype and genotype data linked to both ME/CFS cases controls. Methods Here, we analysed overlap discordance among four UKB-defined cohorts, additional questionnaire when available. Results A total 5,354 UKB individuals were at least one piece evidence MECFS, a higher proportion (1.1%) than most prevalence estimates. Only third (36%; n=1,922) had 2 or more pieces for part due missingness. For same participant, status defined ICD-10 (International Classification Diseases, Tenth Revision) code G93.3 (Post-viral fatigue syndrome) was likely supported another type (72%); Pain Questionnaire responses (43%), Conclusions We conclude that UKB, potentially other biobanks, best multiple, single, lines evidence. Finally, raise estimated 410,000 using consistent status, accounting those who no opportunity participate bed- house-bound.

Language: Английский

Defining a High-Quality Myalgic Encephalomyelitis/Chronic Fatigue Syndrome cohort in UK Biobank DOI Creative Commons

Gemma L. Samms,

Chris P. Ponting

NIHR Open Research, Journal Year: 2025, Volume and Issue: 5, P. 39 - 39

Published: April 28, 2025

Background Progress in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) research is being slowed by the relatively small-scale studies performed whose results are often not replicated. could be accelerated analyses of large population-scale projects, such as UK Biobank (UKB), which provide extensive phenotype and genotype data linked to both ME/CFS cases controls. Methods Here, we analysed overlap discordance among four UKB-defined cohorts, additional questionnaire when available. Results A total 5,354 UKB individuals were at least one piece evidence MECFS, a higher proportion (1.1%) than most prevalence estimates. Only third (36%; n=1,922) had 2 or more pieces for part due missingness. For same participant, status defined ICD-10 (International Classification Diseases, Tenth Revision) code G93.3 (Post-viral fatigue syndrome) was likely supported another type (72%); Pain Questionnaire responses (43%), Conclusions We conclude that UKB, potentially other biobanks, best multiple, single, lines evidence. Finally, raise estimated 410,000 using consistent status, accounting those who no opportunity participate bed- house-bound.

Language: Английский

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