rs149142833
▶GWAS Catalog Trait Associations (14)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (14)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
prostate specific antigen amount
Hoffmann TJ et al. “Genome-wide association study of prostate-specific antigen levels in 392,522 men identifies new loci and improves prediction across ancestry groups.” Nature Genetics 57(2):334-344 (2025)
Allele T
OR 0.04
p 4.0e-39
N 392,522
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 T
OR 0.05
p 3.0e-29
N 254,586
Major Consortium StudyLarge GWAS
European
BMI-adjusted hip circumference
Christakoudi S et al. “GWAS of allometric body-shape indices in UK Biobank identifies loci suggesting associations with morphogenesis, organogenesis, adrenal cell renewal and cancer.” Scientific Reports 11(1):10688 (2021)
Allele T
OR 0.04
p 6.0e-17
N 186,825
Major Consortium StudyLarge GWAS
European
triglyceride measurement
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 C
OR 0.03
p 1.0e-15
N 391,797
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 C
OR 0.02
p 3.0e-9
N 455,659
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 0.02
p 3.0e-10
N 441,016
Large GWAS
European
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele C
OR 0.02
p 4.0e-8
N 361,194
Large GWAS
European
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 2.0e-15
N 2,535,601
Large GWAS
multi-ancestry
Elashi AA et al. “Genome-wide association study and trans-ethnic meta-analysis identify novel susceptibility loci for type 2 diabetes mellitus.” Bmc Medical Genomics 17(1):115 (2024)
Allele T
OR 0.05
p 5.0e-8
N 6,710,881
Meta-analysisLarge GWAS
multi-ancestry
platelet count
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 3.0e-15
N 394,642
Large GWAS
European
hemoglobin A1 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 0.02
p 4.0e-15
N 415,403
Large GWAS
multi-ancestry
potassium measurement
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 C
OR 0.03
p 7.0e-14
N 421,503
Major Consortium StudyLarge GWAS
European
forced expiratory volume
Schoeler T et al. “Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline.” Nature Communications 16(1):4524 (2025)
Allele C
OR 0.02
p 2.0e-13
N 373,397
Large GWAS
European
benign prostatic hyperplasia
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 C
OR 0.05
p 1.0e-12
N 382,363
Major Consortium StudyLarge GWAS
European
omega-3 polyunsaturated fatty acid measurement
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 0.02
p 2.0e-12
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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