rs2885697

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GWAS Catalog Trait Associations (14)

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

body height

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 0.09
p 1.0e-212
N 424,305
Major Consortium StudyLarge GWAS
European

appendicular lean mass

Pei YF et al. “The genetic architecture of appendicular lean mass characterized by association analysis in the UK Biobank study.” Communications Biology 3(1):608 (2020)
Allele T
OR 0.03
p 9.0e-60
N 450,243
Major Consortium StudyLarge 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 G
OR 0.02
p 1.0e-56
N 405,979
Large GWAS
European

whole body water mass

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-44
N 394,642
Large GWAS
European

lean body mass

Harris BHL et al. “New role of fat-free mass in cancer risk linked with genetic predisposition.” Scientific Reports 14(1):7270 (2024)
Allele T
OR 0.02
p 1.0e-37
N 337,739
Large GWAS
European

atrial fibrillation

Yuan S et al. “Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation.” Nature Communications 16(1):6426 (2025)
Allele T
OR 0.04
p 4.0e-26
N 1,840,341
Large GWAS
European
Miyazawa K et al. “Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction.” Nature Genetics 55(2):187-197 (2023)
Allele T
OR 0.04
p 1.0e-10
N 2,339,188
Large GWAS
multi-ancestry
Roselli C et al. “Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases.” Nature Genetics 57(3):539-547 (2025)
Allele T
OR 1.04
p 8.0e-13
N 1,650,345
Meta-analysisLarge GWAS
multi-ancestry
Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)
Allele T
OR 0.01
p 1.0e-9
N 1,486,094
Large GWAS
European
Nielsen JB et al. “Biobank-driven genomic discovery yields new insight into atrial fibrillation biology.” Nature Genetics 50(9):1234-1239 (2018)
Allele T
OR 1.04
p 3.0e-10
N 1,030,836
Large GWAS
European
Cárcel-Márquez J et al. “A Polygenic Risk Score Based on a Cardioembolic Stroke Multitrait Analysis Improves a Clinical Prediction Model for This Stroke Subtype.” Frontiers in Cardiovascular Medicine 9:940696 (2022)
Allele T
OR 0.01
p 3.0e-10
N 1,030,836
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 T
OR 0.04
p 9.0e-12
N 437,772
Major Consortium StudyLarge 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 G
OR 0.02
p 1.0e-21
N 373,397
Large GWAS
European

leukocyte quantity

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 0.02
p 9.0e-13
N 381,267
Major Consortium StudyLarge GWAS
European

Abnormality of the skeletal system

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-12
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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