A variant is never one fact. It is a condition, a medicine, sometimes a taste — and we draw the whole map, in plain language, with every claim sourced.
Growing every twenty minutes · 102,560 variants, checked against the GWAS Catalog every twenty minutes · newest added Oct 21
A single position in the genome is never one fact. It is a condition it has been linked to, a medicine it changes, sometimes what you can smell or taste, and the subjects it turns up beside — sleep, running, alcohol, personality. MyGeneLog™ draws that map for 102,560 well-studied variants and writes it out in plain language, with every claim carrying its source. Free, open, and nothing to sign up for.
Everything above is a website you can read without downloading anything. This is the other half: a free program you run on your own computer, which opens the raw data file a testing company gave you and matches it against these pages.
It exists because the alternative is uploading your genome to somebody. The three cards below are the whole of what happens.
Point MyGeneLog™ at a raw VCF, or a 23andMe/AncestryDNA export.
Matched against a small, hand-curated reference dataset — nothing is sent over the network.
Plain-language findings, each with a "see detailed info" link to a page like the ones below.
Nothing is uploaded, ever. Your genome file is parsed in memory, on your own computer — the opposite of a cloud DNA service. Read the privacy policy →
Every finding gets its own page — the same wording the app and your exported PDF report show. 102,560 variants and growing.
Genetics information online is either precise but impenetrable, or readable but thin — and usually locked down. We're building the reference that's both: accurate enough that a clinician finds nothing to correct, clear enough that anyone can read it, and open enough that anyone can reuse it.
What specific, well-studied positions in your genome actually mean — genotype by genotype, with the research cited.
Browse variants →What a disease is, its symptoms, how common it really is, and which variants have a genuine, replicated link to it.
Browse conditions →Where research shows your genetics can change how a medicine behaves — described honestly, never as a prescription.
Browse drugs →The rare place where a variant does not shift a probability but changes what you perceive. Two people meet the same molecule and one of them smells nothing.
Browse smell & taste →The subjects these positions turn up beside — sleep, running, alcohol, personality, risk-taking. Measured rather than written: what the papers themselves put in the same sentence. Smell & taste is the one subject we have written out in full, and it appears in both places.
Browse topics →What moved. Two variants are named every month — one chosen by readers, one by the literature — with the boards and the counts they were picked from, and a history going back to the first month.
See what’s trending →2,730 papers hold these pages up, and every author of every one of them is named. Search for your own; if it is not here, send the identifier. Corrections are more welcome than new papers.
Submit a paper →The five lists above are worth having together because of what joins them: 170,030 edges across 130,496 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.
See the graph →The catalogue grows on its own, so what moved gets published. Two variants are named each month — one chosen by readers, one by the literature — and the whole dataset is frozen on the 1st so a figure taken from it can still be checked years later.
Chosen by readers: the variant people here open most this month. Named as soon as the month has enough reading behind it.
MTHFR · Folate metabolism (MTHFR C677T)
Chosen by the literature on a rule stated in public: the position that shares a paper with the most different subjects. Not the busiest research programme — the one that keeps surfacing in conversations that have nothing to do with each other.
95,092 variants · 375 conditions · 55 drugs · 4 smell & taste · 33 topics
Joined by 159,031 links — each condition carries the rsIDs behind it, each drug its genes, each smell & taste group and topic the variants they rest on. One graph, not five lists, and the part a scrape of the pages does not give you.
One gzipped JSON file, hashed and kept at a permanent address. The API answers with today’s data by design, which is what makes it uncitable; this does not change. Bought once, kept with no expiry.
Both picks, the boards behind them and the machine-versus-human count are in the monthly report — read it here or take the PDF. Free, and staying that way.
The short answers. See all questions →
MyGeneLog™ is a free, open reference for genetic variants, the conditions they relate to, and how genetics can affect drug response — plus a free Windows app that reads your own raw genome file offline and explains what it finds in plain language.
The app is free, and every page of the reference is free to read and reuse under CC BY 4.0 — no account and no subscription for any of it. Two optional things are not: a dated Gene Knowledge Graph Snapshot of the whole dataset, for people who need a version they can cite, and a raised API rate limit. Neither takes anything away from what is already free, and nothing that is free today becomes paid later.
No. Your genome file is parsed in memory on your own machine and is never uploaded, stored, or transmitted. There is no server-side genome processing at all — the privacy comes from the architecture, not from a promise.
Raw VCF files, and raw data exports from 23andMe and AncestryDNA. If you tested years ago and still have the download, it will work.
No. MyGeneLog™ is informational only and does not diagnose, predict, or recommend treatment. Genetics shifts probabilities rather than deciding outcomes — for what a result means for you, talk to a doctor or a licensed genetic counselor.
The app is free and the reference is open. Donations cover hosting and the research behind every new variant, condition, and gene–drug page.