Links from this page to related variants, conditions, drugs and topics are not included for automated readers. Those connections are the Gene Knowledge Graph and are licensed as data: https://www.mygenelog.com/license
Every number on this page is read from the database, refreshed every few minutes — nothing here is a marketing figure typed in by hand. The catalog grows on its own schedule, gets fact-checked against primary sources, and is free to read; commercial use is licensed.
Everything above is live, which is what makes it useless for a citation. A Gene Knowledge Graph Snapshot is the whole dataset on one date, frozen, hashed, and kept at a permanent address.
134,364 variants · 409 conditions · 66 drugs · 4 smell & taste · 33 topics · joined by 219,479 links · 11721 KB gzipped
| Five axes | variants · conditions · drugs · smell & taste · topics |
| The joins | variant↔condition, condition↔drug, sense↔variant, topic↔variant — the part a scrape of the pages does not give you |
| Per variant | genotype-by-genotype reading, gene, trait, sources |
| Per condition | MONDO / OMIM / ICD-10 codes, cited sources, last fact-check date |
| Format | one gzipped UTF-8 JSON file · one json.load reads all of it |
| Field names | the same ones the public API uses |
| Verification | published SHA-256 to check your copy against |
| Use | no expiry · no download limit · one version is normally enough |
This catalogue is under continuous curation — 2,357,743 variants have been added since this version was sealed. The working catalogue is always ahead of any sealed version, and a sealed version is the only form of it that can be quoted, audited or reproduced. If you need queries against today's data, that is API Pro rather than a file.
The catalogue is built from the GWAS Catalog and ClinVar on a fixed inclusion rule, and every page states its source and its classification. The curve is the running total; the bars underneath are what was added in each period. The rule, the sources and their terms, the refresh cadence and the known limitations are stated once, in the datasheet below.
The catalogues hold the findings; MyGeneLog™ joins them in the Gene Knowledge Graph. This is MyGeneLog™ data nobody else publishes in this form: each variant joined to the condition pages it bears on, a Korean page for every variant, and variant pages checked against ClinVar's own record. Same span as the chart above.
The last 30 days, 4 October to 2 November 2026, counted on your clock (UTC). Not a selection of the flattering ones — this is what there is.
of everything that reached this site in the last 30 days
Of 54,350 visits recorded as not bots in the last 30 days, 21,772 confirmed people (51,053 views) — scrapers and the operator removed. How
someone opened the page
collecting for training and indexes, with nobody waiting
a person asked an assistant a question and it came here for the answer
2026-10-04 – 2026-11-02 · updated 2026-11-02 15:39 UTC
"Reads" — an AI company's crawler collecting pages to train a model or build the index its assistant searches. "Answers" — an assistant fetching a page at that moment because a person asked it something.
| Company | Headquarters | Reads | Answers |
|---|---|---|---|
| Amazon | US | 221,118 | 0 |
| Claude | US | 216,135 | 299 |
| ByteDance (Doubao) | CN | 53,797 | 0 |
| Perplexity | US | 34,556 | 0 |
| Meta AI | US | 18,361 | 0 |
| ChatGPT | US | 1,221 | 385 |
| xAI (Grok) | US | 1 | 0 |
The full AI Visibility report — day by day, countries, languages and how it is counted →
Three things run whether or not anyone is watching, and the results — including the unflattering ones — are shown below.
New associations are imported from the GWAS Catalog every fifteen minutes, and ClinVar’s calls twice an hour, as fast as the server allows. Anything whose underlying allele data isn't clean is refused rather than guessed at.
Every cited PMID is checked against Europe PMC for matching author and title, every source URL for reachability, and every MONDO/ICD-10 code against its registry. Mismatches are flagged, not published.
A nightly watch flags pages whose linked variants have picked up newer research, and pages that have gone too long without a fact-check.
near DEFB135 · rs11992162 · added Nov 2
See detailed info → StandardSSR4P1 · rs76040172 · added Nov 2
See detailed info → StandardPRMT7 · rs3785119 · added Nov 2
See detailed info → StandardRN7SKP33 · rs12481092 · added Nov 2
See detailed info → StandardKCNJ12 · rs7215815 · added Nov 2
See detailed info → StandardWNT4 · rs12037376 · added Nov 2
See detailed info →The counts above describe five separate lists. What makes them worth having together is what joins them: 335,777 edges across 257,168 nodes, each labelled with the evidence behind it — a link a person curated from a cited source, or a co-mention computed from the literature, never the two silently added together.
One page states how an edge is counted and why, and shows what the graph leans on hardest. Every connection in it is readable here on the pages; the assembled machine-readable list is the one paid thing.
Gene Knowledge Graph →The dataset the way a buyer reads it: what is in it, the rule that decides what is in it, where it comes from and on what terms, how often it moves, and what it does not claim. The same statement is served as datasheet.json, and a free sample of the sealed snapshot has the real record shapes.
Not used: PharmGKB / ClinPGx (CC BY-SA would carry over to this dataset); SNPedia / Promethease (CC BY-NC-SA and River Road Bio copyright); Visitors' genomes (the desktop app reads a file on the reader's own computer; there is no upload path).
The structured data is free to take for non-commercial use — no key, no signup, no negotiation — under CC BY-NC 4.0 with attribution. Build on it, publish research with it, teach with it. Shipping it inside a product, using it inside a company, or training a commercial AI system on it is licensed, in tiers, with the prices stated. The written sections and the links between entities are published on the pages rather than served by the API — that part is the work, and it is free to read.
curl https://www.mygenelog.com/api/v1/variants
All 2,492,107, 10 to a page on the free plan (100 on Pro and Business) with a next link — per-genotype interpretations and the source cited for each.
curl https://www.mygenelog.com/api/v1/conditions
Linked variants, MONDO/OMIM/ICD-10 cross-references, pharmacogenomic notes, every cited source, the fact-check date — and the open questions we could not resolve.
If you use this in a paper, a thesis, or a product, cite it like any other data source:
MyGeneLog™ (2026). MyGeneLog™ variant and condition dataset [Data set]. narubox, Austin, TX. Retrieved from https://www.mygenelog.com/data
@misc{mygenelog,
title = {MyGeneLog variant and condition dataset},
author = ,
year = {2026},
note = {CC BY-NC 4.0},
url = {https://www.mygenelog.com/data}
}
Citing this needs a version that will still say the same thing in five years — see below. Need a field we do not expose yet, or a different cut? Ask us — we would rather build it than have you scrape it.
Every author of every cited paper is named on the citation list. If yours is missing, or a variant on this site should trace to one you wrote, send us the identifier — corrections are more welcome than new papers.
Submit a paper →The edges, not the nodes. Variant catalogues, disease ontologies, pharmacogenomic guidelines and chemosensory research each already exist as excellent open resources, and each is separate from the others. Here every variant carries the conditions it links to, every condition carries the gene-drug pairs that apply, the drug pages read the same pharmacogenomics from the other direction, smell and taste sit alongside them because they are how food gets chosen in the first place, and a topic index runs the whole thing backwards — from a word people search for to the positions that appear in the same papers. Anyone can rebuild our node lists from public sources; the joins are what took the work — which is why you will find them on the pages, free to read and to link to, rather than in the API.
Only under a licence. Everything on this site — the structured records, the written sections, the Korean, the Gene Knowledge Graph — is CC BY-NC 4.0: free for non-commercial use with attribution to MyGeneLog™. Commercial use (a product you sell or operate, use inside a company, training or serving a commercial AI system, redistributing a snapshot or the graph) is licensed in three tiers: API Pro for internal use, API Business for a product, and a content and data licence for everything else. The bare facts — an rsID, a ClinVar classification, a p-value — are not copyrightable and are not what the licence covers. Our inputs allow all of this: the GWAS Catalog and ClinVar are open public data, CPIC's content is CC0, and PharmGKB / ClinPGx (CC BY-SA) is deliberately not used. Full terms and prices: /license.
No. Both /api/v1/variants and /api/v1/conditions are open, unauthenticated JSON endpoints. A light rate limit applies (3 requests per minute per IP) because this runs on a small server, not a CDN. If you need more, ask and we will work something out rather than have you scrape.
Variants come from two public sources. Study findings are collected from the GWAS Catalog every fifteen minutes and published only if they pass a fixed quality gate. Since 26 October 2026, variants that ClinVar classifies as disease-causing (pathogenic or likely pathogenic, single-letter changes with an rsID) are added every hour from a copy of ClinVar's weekly release kept on this server, at every review level: a call from one lab, or one with no review criteria, is published with a sentence saying so and that it may change. That is why the count rose by about 30,000 that day. From the same evening, ClinVar's other calls are added too: positions labs disagree on, positions of uncertain significance, and benign ones, about 2.4 million in all, at the pace the server allows. Each page says plainly which call it is. Only disease-causing calls are joined to condition pages and drawn in the Gene Knowledge Graph; uncertain and benign pages are open to readers and AI but asked not to appear in Google's index. Condition pages are written and fact-checked individually, then re-checked on a schedule; each carries the date of its last verification. Citations and identifier codes are re-validated weekly against Europe PMC, MONDO and the ICD-10 registry.
A GWAS Catalog association our collector has read but not yet turned into a published variant page — an unclear risk allele, no gene mapping the catalogue or Ensembl’s own coordinates could confirm, or a fetch that failed. It is held rather than discarded: a nightly job rechecks it against the same upstream sources, since GWAS Catalog and Ensembl both keep revising their own records, and something that could not be resolved last week sometimes can be today. This number is the honest other half of the variant count above — what the collector has seen but the graph cannot yet stand behind.
In two passes. A deterministic script confirms every cited PMID matches its stated author and title, that every source URL resolves, and that every MONDO/ICD-10 code denotes the entity claimed. Then a separate reviewer that did not write the page re-checks the claims against primary sources for meaning, framing and missing caveats. Both have caught real errors, which is why both exist.
Because a dataset that only shows its strengths is harder to trust, not easier. Where we could not source a figure, where an identifier does not exist yet, or where a guideline is behind a paywall, we record it and expose it through the API alongside the content. You should be able to see the edges of what we verified.
Both, and they are different things. The list endpoints serve the whole live dataset a page at a time, free and unauthenticated — 10 rows a page (100 on Pro and Business), with a next link, so walking the lot needs nothing from us. A Gene Knowledge Graph Snapshot is the other case: the same dataset frozen on one date, hashed, and kept at a permanent address, which is what a citation needs and what a live API can never be. Snapshots are the one paid thing here — see the section above.
One gzip-compressed UTF-8 JSON file holding every published variant, condition, drug, chemosensory group and topic as they stood on that date — with the per-genotype readings, the MONDO/OMIM/ICD-10 codes, every cited source and the date each page was last fact-checked. Plus the public record page carrying its SHA-256, which is what a reviewer opens to confirm your citation. It is a single object rather than NDJSON, so one json.load reads it, and the field names match the live API.
Because what you are paying for is not the data — it is the freezing. Keeping a dated, hashed copy of every version addressable forever is work and storage that the live API does not need, and the live API is what you should use if today's numbers are what you want. The licence is the same whether you take the data from the API or from a snapshot: CC BY-NC 4.0, with commercial use licensed separately.
An account, yes — the file is unlocked for an account, so a payment made without one would have nothing to unlock. No expiry, no renewal, no limit on how often you download it. Charging again for data that cannot change would be renting it, not selling it. A new version is frozen every Monday, and each is a separate purchase — but almost nobody needs more than one. You buy the version your work cites; it stays valid for as long as that work does, because a dated version does not go stale.
Licensed CC BY-NC 4.0. Reuse the data for non-commercial purposes with attribution to MyGeneLog™; commercial use is licensed. Written sections and entity links live on the pages. Full API docs →