rs2239647
▶GWAS Catalog Trait Associations (15)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (15)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
fat pad mass
Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele C
OR 0.02
p 4.0e-17
N 337,196
Large GWAS
European
type 2 diabetes mellitus
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 A
OR 0.03
p 7.0e-16
N 432,648
Major Consortium StudyLarge GWAS
European
diabetes mellitus
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 A
OR 0.03
p 1.0e-15
N 431,305
Major Consortium StudyLarge GWAS
European
self reported educational attainment
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 0.01
p 9.0e-15
N 1,311,438
Large GWAS
European
hip circumference
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 0.01
p 1.0e-14
N 394,642
Large GWAS
European
intelligence
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 1.0e-14
N 254,641
Large 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 7.32
p 3.0e-13
N 300,486
Large GWAS
European
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 7.42
p 1.0e-13
N 269,867
Meta-analysisLarge 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-12
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 A
OR 0.05
p 7.0e-13
N 257,700
Large GWAS
European
waist circumference
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 0.01
p 1.0e-12
N 394,642
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 A
OR 0.03
p 3.0e-12
N 575,115
Major Consortium StudyLarge GWAS
multi-ancestry
visceral adipose tissue quantity
Karlsson T et al. “Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease.” Nature Medicine 25(9):1390-1395 (2019)
Allele A
OR 0.02
p 3.0e-12
N 325,153
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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