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Monocyte count

MED12L · rs1466684

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 = 10⁻¹⁰, 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 521,594 European ancestry individuals.

The effect Each copy of the A allele shifted the measure 0.0155 SD unit higher (95% confidence interval 0.011-0.02); p = 2 × 10⁻¹⁰.

How common The A allele had a frequency of about 82% in the people studied.

Where it sits Chromosome 3, band 3q25.1 — a missense change in MED12L.

How common each version is

AG

Korean KRGDB

A 81.5% · G 18.5%

Korean Korea4K

A 82.1% · G 17.9%

Korean Korea1K

A 82.5% · G 17.5%

Japanese ToMMo

A 84.9% · G 15.1%

Vietnamese

A 84.7% · G 15.3%

World gnomAD

A 87.4% · G 12.6%

World 1000 Genomes

A 89.5% · G 10.5%

World TOPMed

A 87.9% · G 12.0%

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 Two copies of the version the research linked to Monocyte count. That is the strongest link of the three results. A link in a study is not a diagnosis.

A/G One copy of the version the research linked to Monocyte count. That is a smaller link than two copies.

G/G No copy of the version the research linked to Monocyte count. This is the starting point the study compared everyone against.

Source

Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations

Chen MH, Raffield LM, Mousas A, Sakaue S, Huffman JE, Moscati A, Trivedi B, Jiang T, Akbari P, Vuckovic D, Bao EL, Zhong X

and 98 more — show all

Manansala R, Laplante V, Chen M, Lo KS, Qian H, Lareau CA, Beaudoin M, Hunt KA, Akiyama M, Bartz TM, Ben-Shlomo Y, Beswick A, Bork-Jensen J, Bottinger EP, Brody JA, van Rooij FJA, Chitrala K, Cho K, Choquet H, Correa A, Danesh J, Di Angelantonio E, Dimou N, Ding J, Elliott P, Esko T, Evans MK, Floyd JS, Broer L, Grarup N, Guo MH, Greinacher A, Haessler J, Hansen T, Howson JMM, Huang QQ, Huang W, Jorgenson E, Kacprowski T, Kähönen M, Kamatani Y, Kanai M, Karthikeyan S, Koskeridis F, Lange LA, Lehtimäki T, Lerch MM, Linneberg A, Liu Y, Lyytikäinen LP, Manichaikul A, Martin HC, Matsuda K, Mohlke KL, Mononen N, Murakami Y, Nadkarni GN, Nauck M, Nikus K, Ouwehand WH, Pankratz N, Pedersen O, Preuss M, Psaty BM, Raitakari OT, Roberts DJ, Rich SS, Rodriguez BAT, Rosen JD, Rotter JI, Schubert P, Spracklen CN, Surendran P, Tang H, Tardif JC, Trembath RC, Ghanbari M, Völker U, Völzke H, Watkins NA, Zonderman AB, Wilson PWF, Li Y, Butterworth AS, Gauchat JF, Chiang CWK, Li B, Loos RJF, Astle WJ, Evangelou E, van Heel DA, Sankaran VG, Okada Y, Soranzo N, Johnson AD, Reiner AP, Auer PL, Lettre G

VA Million Veteran Program

Cell · 2020 · PMID 32888493

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

Monocyte count (rs1466684). MyGeneLog™. https://www.mygenelog.com/variants/rs1466684

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