0 17152315Reads by AI crawlersClaude1ChatGPT0Google · Gemini0Perplexity0Meta AI0Microsoft · Copilot5Amazon2Apple3China (ByteDance, Huawei, Baidu…)1ByteDance (Doubao)1Others5Total17Counted by the name each crawler declares; requests found to be impersonating one are left out. Google · Gemini includes Googlebot, the search crawler whose index Google also uses for its AI features. Other search engines and bots are under Others.
Stands on its own.
Nothing else here links to this position yet — but the page above is the point: what the
research found, what each genotype means, and where it came from, in language you can
read. Links to conditions, drugs and the senses appear automatically if we write them.
Strength of the evidence
2 / 4
Its strongest genetic-study result is p = 10−29, with 2 associations in the GWAS Catalog.
How this is scored
4: ClinVar disease-causing, reviewed by an expert panel or a guideline (3–4 stars). 3: ClinVar, several labs agreeing (2 stars), or a genetic study at p ≤ 10−50. 2: ClinVar from one lab (1 star), or p ≤ 10−20. 1: ClinVar submitted without criteria (0 stars), or genome-wide significance (p ≤ 5×10−8). The higher of the two counts. It says how solid the evidence is, not whether it matters for a particular person.
What the study found
Who was studied 114,767 African American or Afro-Caribbean individuals, 55,750 Hispanic or Latin American individuals, 5,943 East Asian ancestry individuals, 405,357 European ancestry individuals.
The effect
Each copy of the T allele shifted the measure 0.064 higher (95% confidence interval 0.053-0.075); p = 8 × 10−30.
How common The T allele had a frequency of about 79% in the people studied.
Where it sits Chromosome 6, band 6p21.32 — inside HLA-DQA1.
What each result means
A/ANo copy of the version the research linked to red blood cell count (RBC, maximum, inv-norm transformed). This is the starting point the study compared everyone against.
A/TOne copy of the version the research linked to red blood cell count (RBC, maximum, inv-norm transformed). That is a smaller link than two copies.
T/TTwo copies of the version the research linked to red blood cell count (RBC, maximum, inv-norm transformed). That is the strongest link of the three results. A link in a study is not a diagnosis.
Science (New York, N.Y.) · 2024 · PMID 39024449 · open access
Questions about rs9273289
What is rs9273289?
rs9273289 is a single position in the genome, in or near the HLA-DQA1 gene. Published research associates it with red blood cell count (rbc, maximum, inv-norm transformed). A single variant does not decide an outcome — it shifts a probability, and for most common variants the shift is small.
Does having rs9273289 mean I will get this?
No. Common variants like this one move a probability slightly and, on their own, rarely decide anything about one person. Nothing on this page is a diagnosis, and health decisions should be made with a clinician who can see your whole picture.
Where does the information about rs9273289 come from?
GWAS Catalog, Science (New York, N.Y.) 2024, PMID:39024449. Every variant on MyGeneLog comes from public primary sources and is published with its citation and the date it was checked.
0 17152315Reads by AI crawlersClaude1ChatGPT0Google · Gemini0Perplexity0Meta AI0Microsoft · Copilot5Amazon2Apple3China (ByteDance, Huawei, Baidu…)1ByteDance (Doubao)1Others5Total17Counted by the name each crawler declares; requests found to be impersonating one are left out. Google · Gemini includes Googlebot, the search crawler whose index Google also uses for its AI features. Other search engines and bots are under Others.
Quoting this page
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.