rs66731853
▶GWAS Catalog Trait Associations (21)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (21)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
mean reticulocyte volume
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele A
OR 0.04
p 5.0e-53
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 A
OR 0.03
p 3.0e-47
N 394,642
Large GWAS
European
cytidine measurement
Schlosser P et al. “Genetic studies of paired metabolomes reveal enzymatic and transport processes at the interface of plasma and urine.” Nature Genetics 55(6):995-1008 (2023)
Allele A
OR 0.29
p 2.0e-42
N 4,739
Large GWAS
European
Wang C et al. “Genetic architecture of cerebrospinal fluid and brain metabolite levels and the genetic colocalization of metabolites with human traits.” Nature Genetics 56(12):2685-2695 (2024)
Allele A
OR 0.10
p 3.0e-19
N 1,016
Large GWAS
European
erythrocyte volume
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 0.03
p 1.0e-35
N 394,642
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 A
OR —
p 1.0e-34
N 696,882
Large GWAS
multi-ancestry
Verma A et al. “Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program.” Science (new York, N.y.) 385(6706):eadj1182 (2024)
Allele A
OR 0.03
p 2.0e-18
N 583,880
Major Consortium StudyLarge GWAS
multi-ancestry
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 A
OR 0.02
p 4.0e-9
N 172,433
Large GWAS
European
uridine measurement
Surendran P et al. “Rare and common genetic determinants of metabolic individuality and their effects on human health.” Nature Medicine 28(11):2321-2332 (2022)
Allele A
OR 0.13
p 1.0e-34
N 14,296
Large GWAS
European
Chen Y et al. “Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases.” Nature Genetics 55(1):44-53 (2023)
Allele A
OR 0.15
p 4.0e-19
N 8,253
Large GWAS
European
cerebrospinal fluid composition attribute, cytidine measurement
Wang C et al. “Genetic architecture of cerebrospinal fluid and brain metabolite levels and the genetic colocalization of metabolites with human traits.” Nature Genetics 56(12):2685-2695 (2024)
Allele A
OR 0.02
p 2.0e-24
N 2,602
Large GWAS
European
urinary metabolite measurement
Schlosser P et al. “Genetic studies of urinary metabolites illuminate mechanisms of detoxification and excretion in humans.” Nature Genetics 52(2):167-176 (2020)
Allele A
OR 0.30
p 2.0e-17
N 1,221
Large GWAS
mean corpuscular hemoglobin concentration
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 A
OR —
p 8.0e-15
N 630,125
Large GWAS
multi-ancestry
phospholipids in small HDL measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele A
OR 0.02
p 2.0e-14
N 450,015
Large GWAS
multi-ancestry
free cholesterol in small HDL measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele A
OR 0.02
p 4.0e-14
N 450,015
Large GWAS
multi-ancestry
total lipids in small HDL measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele A
OR 0.02
p 1.0e-13
N 450,015
Large GWAS
multi-ancestry
This variant is in our database but has no known associations or PRS memberships yet.
Gene information from NCBI Gene. Variant classifications from ClinVar.
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