rs34811474
▶GWAS Catalog Trait Associations (43)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (43)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
body mass index
Huang J et al. “Genomics and phenomics of body mass index reveals a complex disease network.” Nature Communications 13(1):7973 (2022)
Allele G
OR 0.03
p 8.0e-62
N 1,122,049
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 G
OR 0.04
p 5.0e-41
N 928,679
Large GWAS
multi-ancestry
Pulit SL et al. “Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.” Human Molecular Genetics 28(1):166-174 (2019)
Allele G
OR 0.03
p 9.0e-38
N 806,834
Meta-analysisLarge GWAS
European
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele G
OR 0.03
p 4.0e-36
N 694,649
Large GWAS
European
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 G
OR 0.03
p 2.0e-14
N 607,387
Major Consortium StudyLarge GWAS
multi-ancestry
Turcot V et al. “Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity.” Nature Genetics 50(1):26-41 (2018)
Allele G
OR 0.02
p 3.0e-30
N 526,508
Large GWAS
multi-ancestry
Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele G
OR 0.03
p 1.0e-31
N 523,818
Large GWAS
multi-ancestry
Hawkes G et al. “Genetic evidence that high BMI in childhood has a protective effect on intermediate diabetes traits, including measures of insulin sensitivity and secretion, after accounting for BMI in adulthood.” Diabetologia 66(8):1472-1480 (2023)
Allele G
OR 0.03
p 3.0e-35
N 441,761
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 G
OR 0.02
p 4.0e-31
N 394,642
Large GWAS
European
Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele G
OR 0.03
p 1.0e-26
N 342,566
Large GWAS
European
Hoffmann TJ et al. “A Large Multiethnic Genome-Wide Association Study of Adult Body Mass Index Identifies Novel Loci.” Genetics 210(2):499-515 (2018)
Allele G
OR —
β 0.020
p 2.0e-9
N 334,487
Large GWAS
multi-ancestry
body mass index, osteoarthritis
Zhang L et al. “A sex- and site-specific relationship between body mass index and osteoarthritis: evidence from observational and genetic analyses.” Osteoarthritis and Cartilage 31(6):819-828 (2023)
Allele A
OR —
p 3.0e-39
N 1,633,524
Large GWAS
European
leukocyte quantity
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 G
OR 0.03
p 3.0e-20
N 381,099
Major Consortium StudyLarge 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 G
OR 0.01
p 1.0e-8
N 928,679
Large GWAS
multi-ancestry
obesity
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 G
OR 0.04
p 6.0e-19
N 413,854
Major Consortium StudyLarge GWAS
European
cognitive function measurement
Lee JJ et al. “Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.” Nature Genetics 50(8):1112-1121 (2018)
Allele A
OR 0.02
p 2.0e-18
N 402,382
Large GWAS
European
overnutrition, obesity
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 G
OR 0.04
p 4.0e-17
N 406,236
Major Consortium StudyLarge GWAS
European
health trait
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 G
OR 0.01
p 1.0e-16
N 405,979
Large GWAS
European
intelligence
Savage JE et al. “Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.” Nature Genetics 50(7):912-919 (2018)
Allele A
OR 8.07
p 7.0e-16
N 269,867
Meta-analysisLarge GWAS
European
Davies G et al. “Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.” Nature Communications 9(1):2098 (2018)
Allele A
OR 5.80
p 7.0e-9
N 300,486
Large GWAS
European
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 A
OR 0.02
p 8.0e-13
N 254,641
Large GWAS
European
Hill WD et al. “A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence.” Molecular Psychiatry 24(2):169-181 (2019)
Allele A
OR 0.02
p 2.0e-10
N 248,482
Large GWAS
European
cognitive function measurement, self reported educational attainment
Demange PA et al. “Investigating the genetic architecture of noncognitive skills using GWAS-by-subtraction.” Nature Genetics 53(1):35-44 (2021)
Allele G
OR 0.06
p 3.0e-15
N 257,700
Large GWAS
European
heart failure
Lee DSM et al. “Common-variant and rare-variant genetic architecture of heart failure across the allele-frequency spectrum.” Nature Genetics 57(4):829-838 (2025)
Allele A
OR 0.04
p 6.0e-15
N 2,358,556
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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