rs6968865
This is a intergenic variant variant in the LOC101927609 gene.
▶GWAS Catalog Trait Associations (19)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (19)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
1-methylurate measurement
Surendran P et al. “Rare and common genetic determinants of metabolic individuality and their effects on human health.” Nature Medicine 28(11):2321-2332 (2022)
Allele A
OR 0.11
p 1.0e-23
N 14,296
Large GWAS
European
glomerular filtration rate
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 T
OR 9.86
p 6.0e-23
N 1,508,659
Large GWAS
multi-ancestry
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 T
OR 0.00
p 9.0e-17
N 1,201,930
Large GWAS
multi-ancestry
Loeb GB et al. “Variants in tubule epithelial regulatory elements mediate most heritable differences in human kidney function.” Nature Genetics 56(10):2078-2092 (2024)
Allele T
OR 0.02
p 2.0e-13
N 406,504
Large GWAS
European
serum creatinine amount
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 2.0e-21
N 394,642
Large GWAS
European
triglyceride measurement
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 1.0e-16
N 394,642
Large GWAS
European
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 T
OR 0.02
p 8.0e-14
N 441,016
Large GWAS
European
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele T
OR 0.03
p 8.0e-11
N 136,016
Large GWAS
multi-ancestry
serum urea amount
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 1.0e-14
N 394,642
Large GWAS
European
HbA1c measurement
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 0.01
p 9.0e-13
N 394,642
Large GWAS
European
coffee consumption
Sulem P et al. “Sequence variants at CYP1A1-CYP1A2 and AHR associate with coffee consumption.” Human Molecular Genetics 20(10):2071-2077 (2011)
Allele T
OR 0.26
p 2.0e-11
N 6,611
Large GWAS
European
apolipoprotein A 1 measurement, apolipoprotein B measurement
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele A
OR 0.03
p 3.0e-11
N 136,016
Large GWAS
multi-ancestry
blood VLDL cholesterol amount
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele A
OR 0.03
p 3.0e-11
N 136,016
Large GWAS
multi-ancestry
free cholesterol in small VLDL measurement
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele A
OR 0.03
p 5.0e-11
N 136,016
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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