Standard

Aortic stenosis

MARK3 · rs11624343

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

1 / 4

Its strongest genetic-study result is p = 10⁻⁹, with 1 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 80,823 European ancestry cases, 2,383,572 European ancestry controls.

The effect Each copy of the T allele carried 1.04 times the odds of Aortic stenosis (95% confidence interval 1.02-1.05); p = 2 × 10⁻⁹.

How common The T allele had a frequency of about 66% in the people studied.

Where it sits Chromosome 14, band 14q32.32 — in an intron of MARK3.

How common each version is

AT

Korean KRGDB

A 10.0% · T 90.0%

Korean Korea4K

A 11.0% · T 89.0%

Korean Korea1K

A 12.3% · T 87.7%

Japanese ToMMo

A 19.3% · T 80.7%

World gnomAD

A 25.2% · T 74.8%

World 1000 Genomes

A 20.8% · T 79.1%

World TOPMed

A 24.0% · T 76.0%

The share of all copies of this position that are each version. Source: the population studies published in dbSNP (US NCBI); each row names its study.

What each result means

A/A No copy of the version the research linked to Aortic stenosis. This is the starting point the study compared everyone against.

A/T One copy of the version the research linked to Aortic stenosis. That is a smaller link than two copies.

T/T Two copies of the version the research linked to Aortic stenosis. That is the strongest link of the three results. A link in a study is not a diagnosis.

Source

Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction

Small AM, Yang TY, Itoh S, Thériault S, Dufresne L, Kurosawa R, Komuro I, Matsuda K, Vy HMT, Farber-Eger EH, Shaffer LL, Boulier KM

and 89 more — show all

Corey KM, Ramaker ME, Laporte F, Schott JJ, Le Scouarnec S, Singh SA, Sonawane AR, Smith HA, Rafaels N, Ghouse J, Raja AA, Ostrowski SR, Sørensen E, Mikkelsen C, Pedersen OB, Erikstrup C, Ullum H, Sveinbjornsson G, Gudbjartsson DF, Abner E, Lee J, Ganna A, Nowak-Göttl U, Finer S, Schumacher J, Maj C, Al-Kassou B, Nickenig G, Trenkwalder T, Dreβen M, Krane M, Nöthen MM, Moksnes MR, Brumpton BM, Knight S, Knowlton KU, Nadauld L, Debiec R, Musameh MD, Braund PS, Nelson CP, Czuba T, Melander O, Selvaraj MS, Koyama S, Bhukar R, Ruan Y, Ljungberg J, Damrauer SM, Levin MG, Franke A, Berger K, Ruff CT, Melloni GEM, Kamanu FK, Ito K, Do R, Loos RJF, Schunkert H, Wells QS, Shah SH, Le Tourneau T, Messika-Zeitoun D, Gignoux C, Bundgaard H, Larsson SC, Michaëlsson K, Holm H, Helgadottir A, Esko T, van Heel DA, Mathieu P, Samani NJ, Smith JG, Söderberg S, Rader DJ, Marston NA, Sabatine MS, Pasaniuc B, Cho K, Wilson PWF, O'Donnell CJ, Stefansson K, Bossé Y, Aikawa E, Engert JC, Peloso GM, Natarajan P, Thanassoulis G

Colorado Center for Personalized Medicine · DBDS Genomic Consortium · Estonian Biobank Research Team · Genes & Health Research Team

Nature genetics · 2026 · PMID 41419686 · open access

Quoting this page

Licensed CC BY-NC 4.0: free to read, share and adapt for non-commercial use, naming MyGeneLog™ and linking the exact page. Commercial use, including training or serving a commercial AI system, needs a licence — https://www.mygenelog.com/license

Aortic stenosis (rs11624343). MyGeneLog™. https://www.mygenelog.com/variants/rs11624343

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