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Medication use (beta blocking agents)

CACNA1D · rs3774585

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 = 10−8, 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 20,367 East Asian ancestry cases, 158,359 East Asian ancestry controls.

The effect Each copy of the C allele shifted the measure 0.0624 higher (95% confidence interval 0.04-0.084); p = 3 × 10−8.

How common The C allele had a frequency of about 59% in the people studied.

Where it sits Chromosome 3, band 3p21.1 — in an intron of CACNA1D.

How common each version is

CG
Korean KRGDB
C 61.7% · G 38.3%
Korean Korea4K
C 60.0% · G 40.0%
Japanese ToMMo
C 58.9% · G 41.1%
Vietnamese
C 43.9% · G 56.1%
World gnomAD
C 16.0% · G 84.0%
World 1000 Genomes
C 28.0% · G 72.0%
World TOPMed
C 15.6% · G 84.4%

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

C/C Two copies of the version the research linked to Medication use (beta blocking agents). That is the strongest link of the three results. A link in a study is not a diagnosis.
C/G One copy of the version the research linked to Medication use (beta blocking agents). That is a smaller link than two copies.
G/G No copy of the version the research linked to Medication use (beta blocking agents). This is the starting point the study compared everyone against.
Source
A cross-population atlas of genetic associations for 220 human phenotypes
Sakaue S, Kanai M, Tanigawa Y, Karjalainen J, Kurki M, Koshiba S, Narita A, Konuma T, Yamamoto K, Akiyama M, Ishigaki K, Suzuki A
and 34 more — show all
Suzuki K, Obara W, Yamaji K, Takahashi K, Asai S, Takahashi Y, Suzuki T, Shinozaki N, Yamaguchi H, Minami S, Murayama S, Yoshimori K, Nagayama S, Obata D, Higashiyama M, Masumoto A, Koretsune Y, Ito K, Terao C, Yamauchi T, Komuro I, Kadowaki T, Tamiya G, Yamamoto M, Nakamura Y, Kubo M, Murakami Y, Yamamoto K, Kamatani Y, Palotie A, Rivas MA, Daly MJ, Matsuda K, Okada Y
FinnGen
Nature genetics · 2021 · PMID 34594039

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

Medication use (beta blocking agents) (rs3774585). MyGeneLog™. https://www.mygenelog.com/variants/rs3774585

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