rs28383314
▶GWAS Catalog Trait Associations (54)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (54)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
eosinophil count
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 C
OR 0.06
p 6.0e-199
N 474,237
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 C
OR 0.04
p 9.0e-101
N 442,919
Large GWAS
multi-ancestry
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.05
p 6.0e-130
N 394,642
Large GWAS
European
Höglund J et al. “Gene-Based Variant Analysis of Whole-Exome Sequencing in Relation to Eosinophil Count.” Frontiers in Immunology 13:862255 (2022)
Allele C
OR 0.06
p 1.0e-49
N 365,954
Large GWAS
European
Kachuri L et al. “Genetic determinants of blood-cell traits influence susceptibility to childhood acute lymphoblastic leukemia.” American Journal of Human Genetics 108(10):1823-1835 (2021)
Allele C
OR —
p 6.0e-103
N 234,763
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 C
OR 0.06
p 1.0e-60
N 172,275
Large GWAS
European
triglycerides in very small VLDL measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.04
p 5.0e-87
N 450,015
Large GWAS
multi-ancestry
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele C
OR 0.05
p 7.0e-20
N 88,329
Large GWAS
European
triglycerides in small VLDL measurement
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.04
p 1.0e-84
N 450,015
Large GWAS
multi-ancestry
triglycerides in 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 C
OR 0.04
p 3.0e-81
N 450,015
Large GWAS
multi-ancestry
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele C
OR 0.04
p 9.0e-16
N 88,329
Large GWAS
European
triglycerides in medium 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 C
OR 0.04
p 5.0e-81
N 450,015
Large GWAS
multi-ancestry
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele C
OR 0.04
p 7.0e-16
N 88,329
Large GWAS
European
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 C
OR 0.04
p 9.0e-78
N 450,015
Large GWAS
multi-ancestry
triglyceride measurement
Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele C
OR 0.03
p 3.0e-77
N 394,642
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 C
OR 0.03
p 4.0e-59
N 455,659
Large GWAS
multi-ancestry
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.03
p 6.0e-66
N 450,015
Large GWAS
multi-ancestry
Richardson TG et al. “Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis.” Plos Medicine 17(3):e1003062 (2020)
Allele C
OR 0.04
p 4.0e-76
N 441,016
Large GWAS
European
Richardson TG et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” Plos Biology 20(2):e3001547 (2022)
Allele C
OR 0.04
p 8.0e-24
N 115,082
Large GWAS
European
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele C
OR 0.05
p 2.0e-20
N 88,329
Large GWAS
European
triglycerides 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 C
OR 0.04
p 8.0e-77
N 450,015
Large GWAS
multi-ancestry
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele C
OR 0.05
p 1.0e-20
N 88,329
Large GWAS
European
polyunsaturated fatty acids to monounsaturated fatty acids ratio
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.04
p 8.0e-76
N 450,015
Large GWAS
multi-ancestry
Sun Y et al. “GWAS and multi-omics integrative analysis reveal novel loci and their molecular mechanisms for circulating fatty acids.” Hgg Advances 6(4):100470 (2025)
Allele C
OR —
p 8.0e-19
N 239,268
Large GWAS
European
sclerosing cholangitis
Han Y et al. “Multitrait genome-wide analyses identify new susceptibility loci and candidate drugs to primary sclerosing cholangitis.” Nature Communications 14(1):1069 (2023)
Allele C
OR 0.20
p 2.0e-75
N 14,890
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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