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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...

You mean specifically genes that the DecodeME data suggests might be interesting or based on any source? Including any ME/CFS studies would be a lot more of a challenge depending on what sources are considered. It might be useful. Some other options are linking to that gene list post from the...

My shallow understanding is that imputation is done per person in a study, not pooling any participants together, by comparing that person's DNA to a whole genome reference panel, like 1000 Genomes. They look at the pattern of SNPs that they were actually able to test in a person, and see how...

I did a bit of a comparison between DecodeME genes and Genebass genes on the DecodeME thread: https://www.s4me.info/threads/initial-findings-from-the-decodeme-genome-wide-association-study-of-myalgic-encephalomyelitis-chronic-fatigue-syndrome-2025-decodeme-collaboration.45490/post-651566 If you...

I mainly compiled the list of candidate genes above to check if any of those genes are ranked highly for rare variant associations in the Genebass browser, which includes data from a study of all the phenotypes in the UK BioBank, including ME/CFS. The rare variant study/dataset is discussed...

Copying the most significant genes from the Genebass page for CFS here so they show up in searches just in case. These are split up by category of synonymous, missense, or pLoF. There are three types of statistical tests, so three p-values per gene per category. I took the 20 most significant...

Not a new paper! This was a large scale effort to look for rare variant associations in all the phenotypes in the UK Biobank, which includes the "chronic fatigue syndrome" trait. ME/CFS is never mentioned in the paper, but the results for all phenotypes are freely accessible on a website they...