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Red blood cell traits

HEYL · rs3916164

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 62,553 European ancestry individuals, 9,308 South Asian ancestry individuals; replicated in 63,506 European ancestry individuals.

The effect Each copy of the G allele shifted the measure 0.008 higher (95% confidence interval 0.0072-0.0088); p = 3 × 10⁻¹⁰.

How common The G allele had a frequency of about 71% in the people studied.

Where it sits Chromosome 1, band 1p34.2 — between genes, 19.2 kb from HEYL.

How common each version is

AG

Korean KRGDB

A 11.1% · G 88.9%

Korean Korea4K

A 9.9% · G 90.1%

Japanese ToMMo

A 14.4% · G 85.5%

Vietnamese

A 8.8% · G 91.2%

World gnomAD

A 23.6% · G 76.4%

World 1000 Genomes

A 14.6% · G 85.4%

World TOPMed

A 22.4% · G 77.6%

By ancestry gnomAD

East Asian

A 11.3% · G 88.6%

European (non-Finnish)

A 30.7% · G 69.3%

African / African American

A 12.7% · G 87.3%

South Asian

A 13.3% · G 86.7%

Admixed American (Latino)

A 20.2% · G 79.8%

Middle Eastern

A 25.9% · G 74.2%

Finnish

A 33.3% · G 66.7%

Ashkenazi Jewish

A 32.4% · G 67.6%

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. The ancestry rows are gnomAD's own groups (via Ensembl), as the survey defines them, not races.

What each result means

A/A No copy of the version the research linked to Red blood cell traits. This is the starting point the study compared everyone against.

A/G One copy of the version the research linked to Red blood cell traits. That is a smaller link than two copies.

G/G Two copies of the version the research linked to Red blood cell traits. That is the strongest link of the three results. A link in a study is not a diagnosis.

Source

Seventy-five genetic loci influencing the human red blood cell

van der Harst P, Zhang W, Mateo Leach I, Rendon A, Verweij N, Sehmi J, Paul DS, Elling U, Allayee H, Li X, Radhakrishnan A, Tan ST

and 183 more — show all

Voss K, Weichenberger CX, Albers CA, Al-Hussani A, Asselbergs FW, Ciullo M, Danjou F, Dina C, Esko T, Evans DM, Franke L, Gögele M, Hartiala J, Hersch M, Holm H, Hottenga JJ, Kanoni S, Kleber ME, Lagou V, Langenberg C, Lopez LM, Lyytikäinen LP, Melander O, Murgia F, Nolte IM, O'Reilly PF, Padmanabhan S, Parsa A, Pirastu N, Porcu E, Portas L, Prokopenko I, Ried JS, Shin SY, Tang CS, Teumer A, Traglia M, Ulivi S, Westra HJ, Yang J, Zhao JH, Anni F, Abdellaoui A, Attwood A, Balkau B, Bandinelli S, Bastardot F, Benyamin B, Boehm BO, Cookson WO, Das D, de Bakker PI, de Boer RA, de Geus EJ, de Moor MH, Dimitriou M, Domingues FS, Döring A, Engström G, Eyjolfsson GI, Ferrucci L, Fischer K, Galanello R, Garner SF, Genser B, Gibson QD, Girotto G, Gudbjartsson DF, Harris SE, Hartikainen AL, Hastie CE, Hedblad B, Illig T, Jolley J, Kähönen M, Kema IP, Kemp JP, Liang L, Lloyd-Jones H, Loos RJ, Meacham S, Medland SE, Meisinger C, Memari Y, Mihailov E, Miller K, Moffatt MF, Nauck M, Novatchkova M, Nutile T, Olafsson I, Onundarson PT, Parracciani D, Penninx BW, Perseu L, Piga A, Pistis G, Pouta A, Puc U, Raitakari O, Ring SM, Robino A, Ruggiero D, Ruokonen A, Saint-Pierre A, Sala C, Salumets A, Sambrook J, Schepers H, Schmidt CO, Silljé HH, Sladek R, Smit JH, Starr JM, Stephens J, Sulem P, Tanaka T, Thorsteinsdottir U, Tragante V, van Gilst WH, van Pelt LJ, van Veldhuisen DJ, Völker U, Whitfield JB, Willemsen G, Winkelmann BR, Wirnsberger G, Algra A, Cucca F, d'Adamo AP, Danesh J, Deary IJ, Dominiczak AF, Elliott P, Fortina P, Froguel P, Gasparini P, Greinacher A, Hazen SL, Jarvelin MR, Khaw KT, Lehtimäki T, Maerz W, Martin NG, Metspalu A, Mitchell BD, Montgomery GW, Moore C, Navis G, Pirastu M, Pramstaller PP, Ramirez-Solis R, Schadt E, Scott J, Shuldiner AR, Smith GD, Smith JG, Snieder H, Sorice R, Spector TD, Stefansson K, Stumvoll M, Tang WH, Toniolo D, Tönjes A, Visscher PM, Vollenweider P, Wareham NJ, Wolffenbuttel BH, Boomsma DI, Beckmann JS, Dedoussis GV, Deloukas P, Ferreira MA, Sanna S, Uda M, Hicks AA, Penninger JM, Gieger C, Kooner JS, Ouwehand WH, Soranzo N, Chambers JC

Nature · 2012 · PMID 23222517

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

Red blood cell traits (rs3916164). MyGeneLog™. https://www.mygenelog.com/variants/rs3916164

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