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Sure, I think it'd also be valid to separate out people with well-characterized diseases.

Oh yes sorry mixed up my specificity and sensitivity. But yes, primarily focused on making sure there are as few false positives as possible. You mean excluding people who might have another condition that explains PEM? I don't really agree with that view. If they have PEM, they have PEM...

I wonder if instead of focusing on trying to create a questionnaire with optimal accuracy in separating healthy from ME/CFS, it might be better to think about making a questionnaire with virtually 100% specificity, at the cost of poor sensitivity. Meaning make a questionnaire where only people...

A post about LoCITT has been moved to a dedicated thread: LoCITT: Remote Long COVID Trial to Evaluate Repurposed Drug Across US

Linking ME/CFS Science Blog's social media thread the above summary is from: https://bsky.app/profile/mecfsskeptic.bsky.social/post/3m4iqml4rul2d

Chronic Fatigue Syndrome: A Moral Exploration of Illness and Accountability Jennifer McMurray [Line breaks added] Abstract Chronic fatigue syndrome (CFS) is a complex and often debilitating condition characterized by persistent fatigue accompanied by a variety of additional symptoms that...

Almost identical author group and a similar topic in this paper from February: https://www.s4me.info/threads/cross-sectional-study-evaluating-role-of-autonomic-nervous-system-functional-diagnostics-in-differentiating-post-infectious-syndromes-2025-milovanovic.42552/

The Relationship Between Hemodynamic Responses During Head-Up Tilt Testing and Parameters of Infection in Post-COVID Syndrome, Chronic Fatigue Syndrome, and Late-Stage Lyme Disease Milovanovic, Branislav; Markovic, Nikola; Petrovic, Masa; Stojanovic, Smiljana; Zugic, Vasko; Ostojic, Milijana...

I don't know how useful this review is, but maybe there are some interesting bits. I've only quickly skimmed through, but for example:

Genetic variations and cognitive function in fibromyalgia Selin Akdemir, Oznur Ozge Ozcan [Line breaks added] Introduction Fibromyalgia (FM) is a chronic pain disorder characterized by widespread musculoskeletal pain, fatigue, sleep disturbances, cognitive impairments, and mood-related...

Experiences and challenges of staying employed with chronic fatigue syndrome Surendran, Gopika; Jose, Tony P. [Line breaks added] Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating condition that affects individuals’ ability to engage in sustained...

Quick and potentially not totally accurate summary: They created a machine learning model designed to predict whether participants were cases or controls based on rare variants in their DNA. The prediction algorithm was connected to an external database of known protein interactions (STRING)...

I think just much smaller studies or studies that didn't use as strict of definitions. For example, the UK BioBank has WGS data for their chronic fatigue syndrome phenotype, and it was included in a rare variant study, but the cohort is smaller than DecodeME and the definition of CFS is more...

I haven't read this yet, but the figure shows a fairly impressive difference:

This looks important enough for its own thread so I made one: Serum GDF15 as a supportive biomarker in female fibromyalgia patients based on a prospective case-control study, 2025, Yigit et al

Serum GDF15 as a supportive biomarker in female fibromyalgia patients based on a prospective case-control study Ertugrul Yigit, Osman Cure, Merve Huner Yigit & Hakki Uzun [Line breaks added] Abstract This study aimed to evaluate serum growth differentiation factor 15 (GDF15) as a potential...

I think there are often situations where the same variant can be associated with increases or decreases of gene expression depending on the tissue, or maybe depending on other factors like age. For example, a variant from a past study: Apart from that, the gene expression database isn't...

I don't think I understand imputation well enough to answer. In any case, we know there is a lot of the genome data missing in DecodeME. Imputation can only get you so far, and some of the imputed variants might be wrong. A whole genome sequencing study, AKA SequenceME, would be very valuable...

@Kitty, here is that thread: https://www.s4me.info/threads/main-candidate-genes-from-decodeme-2025.46949/

These are the main candidate genes suggested by the data from the DecodeME study based on different methods: Tier 1 and 2 genes as defined by the DecodeME paper, significant genes using MAGMA test, and the nearest genes to the top 25 most significant loci. I posted the same information on the...