rs8043085
▶GWAS Catalog Trait Associations (8)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (8)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
type 2 diabetes mellitus
Suzuki K et al. “Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.” Nature 627(8003):347-357 (2024)
Allele T
OR —
p 4.0e-27
N 2,535,601
Large GWAS
multi-ancestry
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 T
OR 0.04
p 9.0e-22
N 1,407,282
Meta-analysisLarge GWAS
multi-ancestry
Spracklen CN et al. “Identification of type 2 diabetes loci in 433,540 East Asian individuals.” Nature 582(7811):240-245 (2020)
Allele T
OR 1.05
p 2.0e-14
N 433,540
Large GWAS
East Asian
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 0.06
p 2.0e-9
N 177,415
Large GWAS
East Asian
Thyroid preparation use measurement
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 2.0e-18
N 305,582
Major Consortium StudyLarge 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 T
OR 0.08
p 2.0e-17
N 484,308
Large GWAS
multi-ancestry
insomnia
Watanabe K et al. “Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways.” Nature Genetics 54(8):1125-1132 (2022)
Allele T
OR 0.01
p 1.0e-12
N 1,409,137
Meta-analysisLarge GWAS
European
autoimmune disease
Márquez A et al. “Meta-analysis of Immunochip data of four autoimmune diseases reveals novel single-disease and cross-phenotype associations.” Genome Medicine 10(1):97 (2018)
Allele T
OR —
p 2.0e-8
N 59,468
Meta-analysisLarge GWAS
European
hyperthyroidism
Figuerêdo J et al. “Uncovering the shared genetic components of thyroid disorders and reproductive health.” European Journal of Endocrinology 191(2):211-222 (2024)
Allele T
OR 1.13
p 2.0e-8
N 743,008
Large GWAS
European
major depressive disorder
Meng X et al. “Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.” Nature Genetics 56(2):222-233 (2024)
Allele T
OR 0.02
p 2.0e-8
N 1,820,689
Large GWAS
multi-ancestry
disease
Schoeler T et al. “Participation bias in the UK Biobank distorts genetic associations and downstream analyses.” Nature Human Behaviour 7(7):1216-1227 (2023)
Allele T
OR 0.03
p 4.0e-8
N 283,743
Major Consortium StudyLarge GWAS
European
rheumatoid arthritis
Eyre S et al. “High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis.” Nature Genetics 44(12):1336-40 (2012)
Allele A
OR —
p 2.0e-8
N 47,580
Large GWAS
European
Márquez A et al. “Meta-analysis of Immunochip data of four autoimmune diseases reveals novel single-disease and cross-phenotype associations.” Genome Medicine 10(1):97 (2018)
Allele A
OR 1.12
p 2.0e-9
N 37,831
Meta-analysisLarge 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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