rs116971887

▶

GWAS Catalog Trait Associations (8)

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

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 G
OR 0.12
p 2.0e-121
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 G
OR 0.11
p 4.0e-105
N 575,531
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 0.10
p 2.0e-106
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 G
OR 0.11
p 3.0e-20
N 148,164
Large GWAS
European
Jiang MZ et al. “Whole genome sequencing based analysis of inflammation biomarkers in the Trans-Omics for Precision Medicine (TOPMed) consortium.” Human Molecular Genetics 33(16):1429-1441 (2024)
Allele G
OR 0.13
p 4.0e-10
N 38,465
Major Consortium StudyLarge GWAS
multi-ancestry

level of meprin A subunit beta 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 T
OR 0.08
p 2.0e-31
N 47,745
Large GWAS
European

red blood cell density

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 0.05
p 5.0e-24
N 545,203
Large GWAS
European

erythrocyte count

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 0.04
p 8.0e-23
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 0.04
p 9.0e-12
N 928,679
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 T
OR 0.04
p 4.0e-16
N 408,112
Large GWAS
European

serum gamma-glutamyl transferase 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 0.04
p 1.0e-20
N 394,642
Large GWAS
European

hemoglobin 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 0.03
p 2.0e-17
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 T
OR 0.03
p 5.0e-9
N 408,112
Large GWAS
European

IGF-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 T
OR 0.03
p 3.0e-13
N 394,642
Large GWAS
European
Sinnott-Armstrong N et al. “Genetics of 35 blood and urine biomarkers in the UK Biobank.” Nature Genetics 53(2):185-194 (2021)
Allele T
OR 0.04
p 8.0e-10
N 353,824
Major Consortium StudyLarge GWAS
multi-ancestry

hematocrit

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele T
OR 0.04
p 2.0e-12
N 408,112
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.

Community Wiki

No community notes yet for this variant. Sign in to start one.

Comments

Sign in to join the discussion.

Loading comments…