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1) 🧬 We did a new genetic analysis using DecodeME. We leveraged a database on chromatin openness in the human brain. More openness means DNA is accessible and potentially active in various cell types. The graph below shows the results for ME/CFS and various other diseases.

2) The data comes from a landmark paper by Li et al. "A comparative atlas of single-cell chromatin accessibility in the human brain." It uses single-cell ATAC sequencing to show where DNA is accessible in various cells in the brain.

3) DNA is wrapped around proteins called histones, forming a structure known as chromatin. ATAC sequencing allows scientists to measure where the chromatin is open and where gene expression is likely taking place for each disease.

4) This atlas is from only 3 donors but includes 1.1 million cells from multiple brain regions. The study grouped all these cells into 107 cell types that form 42 subclasses. The authors already tested 19 diseases, we added ME/CFS genetic data as well.

5) In the graph, each dot represents the results for one of the 107 cell types, while the shaded regions indicate the transition to another subclass. Like many brain traits, ME/CFS showed significant results for glutamatergic neurons such as projecting neurons from the cortex.

7) You can also clearly see the difference with Alzheimer or Multiple Sclerosis which have no peaks for neurons but for other cell types in the brain such as microglia or blood vessel cells. These do not show up for ME/CFS.

8 ) So this once again confirms that the DecodeME data points to neurons in the brain with a potential role for medium spiny neurons (or cells and other processes that look like it). More data and analysis here on S4ME:

s4me.infoA comparative atlas of single-cell chromatin accessibility in the human brain, Li et al, 2023 | Science for MEAbstract Recent advances in single-cell transcriptomics have illuminated the diverse neuronal and glial cell types within the human brain. However, the...

9) Caveat: we're amateurs and this s-LDSC method is complex so it's possible that we made errors. We were, however, able to largely replicate results for two other traits (schizophrenia and tiredness, correlation ~ 0.99) so hopefully that means DecodeME analysis is also reliable.

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