Background

Last updated: 2025-11-11

Checks: 2 0

Knit directory: dge-analysis/

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Ignored files:
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Unstaged changes:
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    Modified:   dge-analysis/output/all-samples-analysis/slc4a1_genes_of_interest.csv

Staged changes:
    Modified:   dge-analysis/analysis/_site.yml

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File	Version	Author	Date	Message
Rmd	9f4f1fd	GitHub	2025-11-06	Reorganize repository. (#4)
html	9f4f1fd	GitHub	2025-11-06	Reorganize repository. (#4)
html	a6247eb	GitHub	2025-07-23	Prepare for PhysGen submission. (#2)
html	05f5502	sdhutchins	2023-08-16	Build site.
html	482a8a9	sdhutchins	2023-08-09	Build site.
html	752cbf3	sdhutchins	2023-07-27	Update metadata.
html	a3635c9	sdhutchins	2023-07-25	Build site.
html	81e7d95	sdhutchins	2023-07-24	Build site.
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html	b66bc86	sdhutchins	2023-06-27	Build site.
html	6133d80	sdhutchins	2023-06-23	Build site.

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic, disabling illness affecting an estimated 1–3 million Americans. It is marked by persistent fatigue, post-exertional malaise, cognitive impairment, pain, and a range of immune, metabolic, and neurological symptoms.

Onset often follows infection or occurs gradually in adulthood. Research has identified biological abnormalities in ME/CFS, including immune dysregulation, altered cytokine profiles, metabolic dysfunction, and neuroinflammation.

Family studies suggest a genetic component, with first-degree relatives of ME/CFS patients at increased risk.

Background

Methods

Bulk RNA-Seq Analysis