rs833805

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GWAS Catalog Trait Associations (9)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

red blood cell density

Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)

Allele G

OR —

p 1.0e-87

N 727,624

Large GWAS

multi-ancestry

high density lipoprotein cholesterol measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)

Allele G

OR 0.05

p 3.0e-75

N 394,642

Large GWAS

European

erythrocyte count

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)

Allele G

OR 0.05

p 2.0e-64

N 394,642

Large GWAS

European

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)

Allele G

OR 0.06

p 1.0e-59

N 408,112

Large GWAS

European

Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)

Allele G

OR 0.07

p 3.0e-27

N 172,952

Large GWAS

European

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)

Allele G

OR 0.04

p 1.0e-15

N 153,512

Large GWAS

East Asian

urate measurement

Major TJ et al. “A genome-wide association analysis reveals new pathogenic pathways in gout.” Nature Genetics 56(11):2392-2406 (2024)

Allele A

OR 0.04

p 7.0e-18

N 630,117

Large GWAS

European

Gill D et al. “Urate, Blood Pressure, and Cardiovascular Disease: Evidence From Mendelian Randomization and Meta-Analysis of Clinical Trials.” Hypertension (dallas, Tex. : 1979) 77(2):383-392 (2021)

Allele A

OR 0.03

p 4.0e-17

N 454,183

Meta-analysisLarge GWAS

European

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)

Allele A

OR 0.02

p 2.0e-15

N 394,642

Large GWAS

European

glomerular filtration rate

Liu H et al. “Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease.” Nature Genetics 54(7):950-962 (2022)

Allele G

OR 8.14

p 4.0e-16

N 1,508,659

Large GWAS

multi-ancestry

serum creatinine amount

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)

Allele G

OR 0.02

p 1.0e-13

N 394,642

Large GWAS

European

platelet crit

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)

Allele G

OR 0.02

p 4.0e-11

N 408,112

Large GWAS

European

hematocrit

Jee YH et al. “Genome-wide association studies in a large Korean cohort identify quantitative trait loci for 36 traits and illuminate their genetic architectures.” Nature Communications 16(1):4935 (2025)

Allele G

OR 0.06

p 7.0e-93

N 928,679

Large GWAS

multi-ancestry

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)

Allele G

OR 0.05

p 6.0e-75

N 503,490

Large GWAS

multi-ancestry

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)

Allele G

OR 0.07

p 9.0e-79

N 408,112

Large GWAS

European

Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)

Allele G

OR 0.08

p 6.0e-36

N 173,039

Large GWAS

European

Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)

Allele G

OR 0.05

p 2.0e-15

N 142,940

Large GWAS

East Asian

hemoglobin measurement

Oskarsson GR et al. “Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.” Communications Biology 3(1):189 (2020)

Allele G

OR —

β 0.055

p 8.0e-54

N 684,122

Large GWAS

European

Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)

Allele G

OR 0.07

p 9.0e-95

N 563,946

Large GWAS

European

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)

Allele G

OR 0.05

p 5.0e-71

N 502,921

Large GWAS

multi-ancestry

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)

Allele G

OR 0.07

p 2.0e-72

N 408,112

Large GWAS

European

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)

Allele G

OR 0.05

p 3.0e-77

N 394,642

Large GWAS

European

Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)

Allele G

OR 0.07

p 5.0e-31

N 172,925

Large GWAS

European

This variant is in our database but has no known associations or PRS memberships yet.

rs833805

GWAS Catalog Trait Associations (9)

red blood cell density

high density lipoprotein cholesterol measurement

erythrocyte count

urate measurement

glomerular filtration rate

serum creatinine amount

platelet crit

hematocrit

hemoglobin measurement

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