rs464605

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GWAS Catalog Trait Associations (15)

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

type 2 diabetes mellitus

Vujkovic M et al. “Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.” Nature Genetics 52(7):680-691 (2020)
Allele C
OR 0.07
p 8.0e-66
N 1,407,282
Meta-analysisLarge GWAS
multi-ancestry

cholesteryl esters to total lipids in small VLDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.03
p 2.0e-30
N 450,015
Large GWAS
multi-ancestry

cholesterol to total lipids in small HDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.03
p 6.0e-30
N 450,015
Large GWAS
multi-ancestry

Drugs used in diabetes use measurement

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele T
OR 0.07
p 4.0e-19
N 484,639
Large GWAS
multi-ancestry
Wu Y et al. “Genome-wide association study of medication-use and associated disease in the UK Biobank.” Nature Communications 10(1):1891 (2019)
Allele T
OR 0.09
p 6.0e-10
N 305,913
Major Consortium StudyLarge GWAS
European

hemoglobin measurement

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.02
p 3.0e-18
N 408,112
Large GWAS
European
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 T
OR 0.01
p 3.0e-13
N 928,679
Large GWAS
multi-ancestry

systolic blood pressure

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 T
OR 0.01
p 9.0e-15
N 928,679
Large GWAS
multi-ancestry
Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)
Allele T
OR 0.01
p 1.0e-8
N 1,212,859
Large GWAS
European
Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele T
OR 0.21
p 1.0e-14
N 1,028,980
Large GWAS
multi-ancestry

platelet component distribution width

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.02
p 4.0e-13
N 394,642
Large GWAS
European

apolipoprotein F measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele T
OR 0.04
p 5.0e-13
N 47,745
Large GWAS
European

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 T
OR 0.01
p 1.0e-12
N 394,642
Large GWAS
European

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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