Methodology & accuracy

How PeptidesDNA reads your DNA against the peptide research

PeptidesDNA reads a 144-marker panel in the DNA file you already have and sets it against the published research on 31 peptides. This is how that reading works, how the evidence is graded, and what the report cannot tell you.

The short answer

PeptidesDNA reads a 144-marker panel and, for each of 31 peptides, shows the variants you carry in the genes researchers have studied alongside it, the human studies behind each link and an evidence grade. Markers your file could not read are marked as unread rather than guessed. No clinical guideline covers genotype and peptides, so the corpus is graded by us and the grades are published. The report is education about what research found: it does not recommend a peptide, a dose or a schedule, and it does not predict how you will respond.

  • 144Marker panel read
  • 12Body systems mapped
  • 31Peptides covered
  • 4Evidence grades

How a file is read

Every peptide is linked to the markers the published research has studied alongside it. The report shows which of those you carry and what the studies behind them did and did not find.

  1. Read what you carry

    For each marker the research has studied alongside a peptide, we read your genotype and note whether you carry one copy of the studied allele, two, or none.

  2. Attach the research

    Each marker is shown with the human studies behind it, cited, with who was studied and what was measured. Preclinical work is labelled as preclinical.

  3. Grade the evidence

    Every link gets an evidence grade. Where no study has tested whether the genotype changes response to that peptide, the report says so plainly.

  4. Mark what we could not read

    Markers your file did not cover are listed by name as unread, so a gap never quietly counts as a finding.

The evidence grade sits beside every link, so thin science is never hidden behind a number.

The reading is deterministic: the same DNA always gives the same result. The written explanations are drafted from those fixed results and checked by our team for accuracy, which is not a clinician’s review.

How this differs from a general DNA report

A broad ancestry or wellness report may read millions of markers, but only a handful relate to the peptide research, and it rarely shows the studies behind them. PeptidesDNA does only this one thing, and it says where the research stops.

CapabilityPeptidesDNAGeneral DNA reportManual research
Focused on the peptide researchYesNo, a minor featureNo
Peptide-relevant markers read144-marker panelFew / incidentalN/A
Human studies cited for each linkYesRarelyManual
Evidence grade on every linkYesNoNo
Says where no study existsYesRarelyDepends
Peptides covered310 to fewDIY
Continuously updated libraryYesRarelyN/A

Comparison of PeptidesDNA against general consumer DNA reports and unaided manual research, on peptide-research capabilities.

Frequently asked questions

What does PeptidesDNA actually do with my file?

It reads a 144-marker panel in the DNA file you already have and sets each marker against the published research on 31 peptides. For each peptide you see the variants you carry in the genes researchers have studied alongside it, the human studies behind each link, and how strong that evidence is. It does not recommend a peptide, a dose or a schedule, and it does not predict how you will respond.

How many genetic markers does PeptidesDNA read?

A 144-marker panel across 15 biological categories: receptor variants and pathway, inflammation, metabolic and transporter markers. Consumer arrays cannot reliably read some genes, such as CYP2D6, so we never report them.

How is the evidence graded?

Every link between a marker and a peptide carries a grade for the evidence behind it: a human study in people with that genotype, a human study of the pathway with no genotype data, preclinical work only, or no data. For most peptides, no study has tested whether a genotype changes response, and the report says so in those words rather than implying a finding. The reading is deterministic, so the same file and the same corpus always give the same result.

What data sources does PeptidesDNA use?

Peer-reviewed genetic-association literature and peptide research, cross-referenced against PubMed, the GWAS Catalog, Open Targets, PharmGKB annotations, ClinVar and dbSNP. No clinical guideline covers genotype and peptides, so the corpus is graded by us and the grades are published. We would rather say that than imply a guideline exists where none does.

Can I use my existing 23andMe or AncestryDNA data?

Yes. PeptidesDNA is upload-first: upload your raw file from 23andMe, AncestryDNA, MyHeritage or any major provider and get your report within 24 hours for $99. Existing consumer files typically cover 85 to 95% of the 144-marker panel; any uncovered markers are flagged, not guessed.

What can the report not tell me?

Whether a peptide will work for you, what dose to take, or whether to take anything at all. Consumer chip results can also be wrong, so confirm any result with a clinical test before a medical decision. Do not start, stop or change any medication or peptide because of the report; talk to a licensed clinician.

Data sources

Variants. Markers are identified by their dbSNP identifiers and cross-checked against ClinVar and PharmGKB annotations. When a marker is missing from your file, the report says it was not read rather than guessing.

Peptides. There is no clinical standard for genotype and peptides, and we would rather say so than imply one. The corpus is built from peer-reviewed genetic-association and peptide literature, cross-referenced against the GWAS Catalog, Open Targets and ClinPGx, and every link carries an evidence grade we assign, publish and can be held to. Where a marker is read and the research does not support a statement, the report says exactly that instead of manufacturing a finding.

PeptidesDNA provides genetic interpretation for educational purposes and is not medical advice.

Read your DNA against the peptide research

Your report reads the DNA file you already have against the published research on 31 peptides, marker by marker, and says what that research does and does not show. Ready within 24 hours.