I have done a few prior post on this, listed below. At a high level, this does not mean that ME/CFS is a DNA disease instead of a microbiome dysfunction, rather it paints a richer picture.
The microbiome and your DNA interact with each other. Your microbiome is actually much richer/more complex than your DNA. There is evidence that the microbiome and DNA cooperate with each other. So, ME/CFS is a “perfect storm” scenario. You need the right DNA mutations to coincide with the right microbiome dysfunction. To the best of my knowledge, no studies have been done combining the two 🙁 .
I focus on the microbiome because it is much more actionable then DNA. You can change the microbiome, i.e. pull your ship caught in the perfect storm into a sheltered harbor…. The ship may still have its defect (DNA) issues, but without the storm beating on it, it won’t sink.
- 2013 – Is CFS in your DNA?
- DNA: Irritable Bowel Syndrome’s SNPs
- Fibromyalgia DNA SNP’s
- A Serotonin SNP in CFS
- Methylation Testing via 23andMe
- Case Study on Using DNA: Multiple Chemical Sensitivity
Extracts from Recent Studies
- MtDNA population variation in Myalgic encephalomyelitis/Chronic fatigue syndrome in two populations: a study of mildly deleterious variants 
- Role of mitochondrial DNA damage and dysfunction in veterans with Gulf War Illness. 
- Mitochondrial dysfunction in a family with psychosis and chronic fatigue syndrome. 
- Association of mitochondrial DNA variants with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) symptoms.
- Is chronic fatigue syndrome truly associated with haplogroups or mtDNA single nucleotide polymorphisms? 
- Mitochondrial DNA variants correlate with symptoms in myalgic encephalomyelitis/chronic fatigue syndrome. 
- Genetic Predisposition for Immune System, Hormone, and Metabolic Dysfunction in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: A Pilot Study. 
- Single nucleotide polymorphisms and genotypes of transient receptor potential ion channel and acetylcholine receptor genes from isolated B lymphocytes in myalgic encephalomyelitis/chronic fatigue syndrome patients. 
- A targeted genome association study examining transient receptor potential ion channels, acetylcholine receptors, and adrenergic receptors in Chronic Fatigue Syndrome/Myalgic Encephalomyelitis. 
- Natural killer cells and single nucleotide polymorphisms of specific ion channels and receptor genes in myalgic encephalomyelitis/chronic fatigue syndrome. 
- Genome-wide association analysis identifies genetic variations in subjects with myalgic encephalomyelitis/chronic fatigue syndrome. 
- Maintenance of Chronic Fatigue Syndrome (CFS) in Young CFS Patients Is Associated with the 5-HTTLPR and SNP rs25531 A > G Genotype. 
- Pathway-focused genetic evaluation of immune and inflammation related genes with chronic fatigue syndrome. 
- Use of single-nucleotide polymorphisms (SNPs) to distinguish gene expression subtypes of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME). 
- A possible genetic association with chronic fatigue in primary Sjögren’s syndrome: a candidate gene study. 
- Meta analysis of Chronic Fatigue Syndrome through integration of clinical, gene expression, SNP and proteomic data. 
- Polymorphisms of adrenergic cardiovascular control genes are associated with adolescent chronic fatigue syndrome. 
- Convergent genomic studies identify association of GRIK2 and NPAS2 with chronic fatigue syndrome. 
- A functional polymorphism in the disrupted-in schizophrenia 1 gene is associated with chronic fatigue syndrome. 
- Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome. 
Someone care to extract a summary?
In the past, I have walked thru each article and produced a checklist of SNPs cited with the matching 23andMe item (if they reports it) and even recall creating a template on a 3rd party analysis site. I do not have the time for this at present.
If a reader care to do this and write up a guest post, I would love it!
In time, I would love to add these SNPs to the microbiome site to try to detect which dna-bacteria-symptoms combinations are significant. It will be another step into being uber-specific on why you have certain symptoms and thus have specific treatment based on your DNA, microbiome and symptoms.
I have added maternal haplotypes to the symptoms list now — if you know yours, please associate it with your sample. The types entered are the common one from this page.