Standard

Platelet count

near PICALM · rs669556

Where this position leads

What the study found

Who was studied 542,827 European ancestry individuals.

The effect Each copy of the T allele shifted the measure 0.0193 SD unit higher (95% confidence interval 0.015-0.024); p = 7 × 10⁻¹⁷.

How common The T allele had a frequency of about 80% in the people studied.

Where it sits Chromosome 11, band 11q14.2 — between genes, 0.4 kb from PICALM.

What each result means

C/C Published research associates this genotype with typical/baseline likelihood of Platelet count — no copies of the reported risk allele.

C/T Published research associates this genotype (one copy of the reported risk allele) with an intermediate association with Platelet count.

T/T Published research associates this genotype (two copies of the reported risk allele) with a higher likelihood of Platelet count compared to the general population.

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

Questions about rs669556

What is rs669556?

rs669556 is a single position in the genome, in or near the near PICALM gene. Published research associates it with platelet count. A single variant does not decide an outcome — it shifts a probability, and for most common variants the shift is small.

What conditions is rs669556 linked to?

On MyGeneLog this position is linked to Blood Cell Counts. The research behind each link, and its sources, are set out on that condition page.

Does having rs669556 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 rs669556 come from?

GWAS Catalog, Cell 2020, PMID:32888493. Every variant on MyGeneLog comes from public primary sources and is published with its citation and the date it was checked.

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.

Platelet count (rs669556). MyGeneLog™. https://www.mygenelog.com/variants/rs669556

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