rs16930370

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GWAS Catalog Trait Associations (9)

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

glomerular filtration rate

Stanzick KJ et al. “Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals.” Nature Communications 12(1):4350 (2021)
Allele C
OR 0.00
p 2.0e-53
N 1,201,930
Large GWAS
multi-ancestry
Liu H et al. “Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease.” Nature Genetics 54(7):950-962 (2022)
Allele C
OR 14.23
p 6.0e-46
N 1,508,659
Large GWAS
multi-ancestry
Hellwege JN et al. “Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program.” Nature Communications 10(1):3842 (2019)
Allele C
OR 0.00
p 2.0e-19
N 280,722
Major Consortium StudyLarge GWAS
multi-ancestry

serum creatinine amount

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 T
OR 0.03
p 3.0e-46
N 928,679
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 T
OR 0.03
p 3.0e-33
N 494,370
Large GWAS
multi-ancestry

body height

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 T
OR 0.01
p 5.0e-17
N 405,540
Large GWAS
European

leucine-rich repeat neuronal protein 1 measurement

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 0.05
p 3.0e-16
N 47,745
Large GWAS
European

persephin measurement

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 0.04
p 2.0e-13
N 47,745
Large GWAS
European

level of integrin beta-6 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 C
OR 0.04
p 2.0e-12
N 47,745
Large GWAS
European

myeloid leukocyte count

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 C
OR —
p 1.0e-10
N 746,667
Large GWAS
multi-ancestry

neutrophil count

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 C
OR 0.02
p 2.0e-13
N 519,288
Large GWAS
European
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Research that mentions this SNP (1)

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Genome‐wide association study of HPV‐associated cervical cancer in Japanese women
AssociationN=412Kiyonori Miura et al.(2014)· Journal of Medical Virology

A genome-wide association study (GWAS) of 226 Japanese women with cervical cancer and 186 controls identified 89 SNPs with p-value < 10^-4, including rs997363 (p=1.23×10^-6, OR=1.99), rs7780883 (p=2.49×10^-6, OR=3.28), and rs6726538 (p=2.76×10^-6, OR=0.52), but no SNPs met genome-wide significance threshold after multiple-testing correction. Two SNPs, rs621310 and rs11653282, showed weak associations in replication analysis. The study suggests that HPV-associated cervical cancer susceptibility in Japanese women may involve multiple genetic variants with small individual effects, or that larger sample sizes are needed to detect true associations.

Traits studied:Cervical cancer susceptibilityHPV persistenceUterine cervical cancer
PubMedDOIMetascience Observatory

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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