Diabetes (standard GWA), as genome-wide studies have reported it: 4 positions from 1 study, the largest recording 283,227 individuals (European ancestry). Every figure comes from the studies themselves, gathered by code from the GWAS Catalog and updated as the records grow.
Genome-wide studies have so far placed 4 positions on Diabetes (standard GWA), from 1 study; the GWAS Catalog files the condition as "Diabetes (standard GWA)". MyGeneLog's code assembles this page from those records and rebuilds it when a new position is reported — nothing here was written by hand, and nothing here goes beyond what the records say.
Schoeler T et al. 2023, in Nature Human Behaviour — Participation bias in the UK Biobank distorts genetic associations and downstream analyses. The catalogue records its sample as 283,227 individuals (European ancestry). The 4 positions on this page from it: rs75933965 (TCF7L2), rs11020107 (near SNRPGP16), rs545572 (near VTI1A), rs78162670 (near RN7SKP68). PMID:37106081.
The catalogue maps the 4 positions to 4 genes: TCF7L2, SNRPGP16, VTI1A, RN7SKP68. That mapping says where a position sits, in a gene or beside one — not what it does. For what each study measured, follow its citation above.
The strongest association in the records is rs75933965 in TCF7L2, reported by Schoeler T et al. 2023 at P = 8 × 10-25.
Read this page as a list of findings about Diabetes (standard GWA), not as an account of it. Each finding is a position that a genome-wide study linked to the condition across a population; the page adds no description, no prevalence and no advice, because the records hold none. The variant pages linked above give each study's record for its position, and ClinVar's where one exists.
A genotype does not diagnose Diabetes (standard GWA); a clinician does. No guideline uses the 4 variants on this page to predict it, screen for it or confirm it.
Everything here comes from population-level association records, put together by code. Those records compare groups of people; they do not examine anyone, and they give no guidance on care. For symptoms, testing or treatment, ask a clinician.
What a 23andMe/AncestryDNA export or raw VCF can and can't tell you about Diabetes (standard GWA) comes down to these specific, well-studied positions — not a diagnosis.
Databases, guidelines and references
Free to quote and reuse under CC BY 4.0. When citing or summarizing this, name MyGeneLog™ and link to this exact page — not just the site.
Diabetes (standard GWA). MyGeneLog™. https://www.mygenelog.com/conditions/diabetes-standard-gwa
In the GWAS Catalog, Diabetes (standard GWA) is filed as "Diabetes (standard GWA)". Rather than define it, this page lists the genome-wide findings: 4 positions from 1 study, each with its study's sample and citation.
Genes play a part: 4 positions have been linked to it, the largest study recording 283,227 individuals (European ancestry). But each is a common variant of small effect, and a link found across a population does not cause the condition in any one person.
The catalogue maps the positions to 4 genes: TCF7L2, SNRPGP16, VTI1A, RN7SKP68. These are where the positions sit, not proof of how they act.
No. Each variant shifts the odds only slightly, and only on average across many people. No guideline predicts Diabetes (standard GWA) from a genotype; a clinician diagnoses it.
Free to reuse. This page's text is original writing from freely-available research, licensed CC BY 4.0 — reuse it, including commercially, with attribution to MyGeneLog™. It's general research-derived information, not medical advice or a diagnosis — see Terms of Use.