rs2297066

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GWAS Catalog Trait Associations (8)

Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.

serum gamma-glutamyl transferase measurement

Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele G
OR 0.12
p —
N 355,690
Major Consortium StudyLarge GWAS
multi-ancestry

platelet volume

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 0.07
p 5.0e-302
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele G
OR 0.07
p 5.0e-172
N 408,112
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 0.05
p 1.0e-12
N 97,007
Major Consortium StudyLarge GWAS
African American or Afro-Caribbean

level of cadherin-related family member 2 in blood

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 0.08
p 2.0e-49
N 47,745
Large GWAS
European

coxsackievirus and adenovirus receptor measurement

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 0.05
p 9.0e-16
N 47,745
Large GWAS
European

level of tetraspanin-8 in blood

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 0.04
p 4.0e-15
N 47,745
Large GWAS
European

platelet crit

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 0.01
p 1.0e-12
N 394,642
Large GWAS
European
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele G
OR 0.02
p 3.0e-11
N 408,112
Large GWAS
European

alkaline phosphatase measurement

Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele G
OR 0.02
p 7.0e-12
N 355,891
Major Consortium StudyLarge GWAS
multi-ancestry
Olafsson S et al. “Common and Rare Sequence Variants Influencing Tumor Biomarkers in Blood.” Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology 29(1):225-235 (2020)
Allele G
OR 0.03
p 8.0e-9
N 162,774
Large GWAS
European

platelet count

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 0.06
p 2.0e-60
N 583,459
Major Consortium StudyLarge GWAS
multi-ancestry
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 G
OR 0.05
p 4.0e-112
N 542,827
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 G
OR 0.05
p 3.0e-107
N 499,097
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele G
OR 0.05
p 8.0e-79
N 408,112
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 0.05
p 5.0e-118
N 394,642
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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