rs1490384

This is a intergenic variant variant.

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GWAS Catalog Trait Associations (15)

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

body height

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 0.03
p 2.0e-179
N 394,642
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 T
OR 0.05
p 1.0e-169
N 928,679
Large GWAS
multi-ancestry
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 0.03
p 1.0e-144
N 405,540
Large GWAS
European
Lango Allen H et al. “Hundreds of variants clustered in genomic loci and biological pathways affect human height.” Nature 467(7317):832-8 (2010)
Allele T
OR —
β 0.034
p 4.0e-21
N 133,653
Large GWAS
European
Nagy R et al. “Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.” Genome Medicine 9(1):23 (2017)
Allele T
OR 0.00
p 7.0e-10
N 26,828
Major Consortium StudyLarge GWAS
European
Berndt SI et al. “Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.” Nature Genetics 45(5):501-12 (2013)
Allele T
OR 1.18
p 1.0e-16
N 16,196
Meta-analysisLarge 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 C
OR 0.02
p 7.0e-93
N 405,979
Large GWAS
European

C-reactive protein measurement

Han X et al. “Using Mendelian randomization to evaluate the causal relationship between serum C-reactive protein levels and age-related macular degeneration.” European Journal of Epidemiology 35(2):139-146 (2020)
Allele C
OR 0.03
p 9.0e-45
N 418,642
Large GWAS
European
Koskeridis F et al. “Pleiotropic genetic architecture and novel loci for C-reactive protein levels.” Nature Communications 13(1):6939 (2022)
Allele C
OR 0.03
p 1.0e-41
N 575,531
Large GWAS
European
Said S et al. “Genetic analysis of over half a million people characterises C-reactive protein loci.” Nature Communications 13(1):2198 (2022)
Allele C
OR 0.03
p 1.0e-42
N 575,531
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 C
OR 0.03
p 2.0e-37
N 436,491
Large GWAS
multi-ancestry
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 0.03
p 3.0e-38
N 394,642
Large GWAS
European
Ligthart S et al. “Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders.” American Journal of Human Genetics 103(5):691-706 (2018)
Allele C
OR 0.03
p 3.0e-12
N 206,158
Large GWAS
European

forced expiratory volume

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 C
OR 0.02
p 7.0e-36
N 373,397
Large GWAS
European

bilirubin 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 7.0e-22
N 394,642
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 T
OR 0.02
p 9.0e-22
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 0.02
p 7.0e-13
N 467,170
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 T
OR 0.01
p 2.0e-14
N 519,288
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 T
OR 0.01
p 5.0e-11
N 408,112
Large GWAS
European

liver volume

Ahmad S et al. “Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition.” Jhep Reports : Innovation in Hepatology 7(9):101468 (2025)
Allele T
OR 0.07
p 3.0e-13
N 24,752
Large GWAS
European

histidine measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele T
OR 0.01
p 3.0e-12
N 450,015
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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