rs11977526

This is a upstream gene variant variant in the LOC102723446 gene.

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GWAS Catalog Trait Associations (11)

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

IGF-1 measurement, IGFBP-3 measurement

Teumer A et al. “Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits.” Aging Cell 15(5):811-24 (2016)
Allele A
OR —
p 3.0e-195
N 18,995
Meta-analysisLarge GWAS
European

IGFBP-3 measurement

Teumer A et al. “Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits.” Aging Cell 15(5):811-24 (2016)
Allele A
OR —
p 4.0e-161
N 18,995
Meta-analysisLarge GWAS
European
Kaplan RC et al. “A genome-wide association study identifies novel loci associated with circulating IGF-I and IGFBP-3.” Human Molecular Genetics 20(6):1241-51 (2011)
Allele A
OR —
p 3.0e-101
N 10,280
Large GWAS
European

pulse pressure measurement

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele A
OR 0.44
p 5.0e-139
N 1,028,980
Large GWAS
multi-ancestry
Shi G et al. “Genome-wide variance quantitative trait locus analysis suggests small interaction effects in blood pressure traits.” Scientific Reports 12(1):12649 (2022)
Allele A
OR 0.01
p 6.0e-66
N 396,077
Large GWAS
European
Hoffmann TJ et al. “Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.” Nature Genetics 49(1):54-64 (2017)
Allele A
OR 0.39
p 9.0e-50
N 321,262
Large GWAS
multi-ancestry
Liu C et al. “Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.” Nature Genetics 48(10):1162-70 (2016)
Allele A
OR 0.36
p 3.0e-29
N 146,562
Meta-analysisLarge GWAS
multi-ancestry
Takeuchi F et al. “Interethnic analyses of blood pressure loci in populations of East Asian and European descent.” Nature Communications 9(1):5052 (2018)
Allele A
OR 0.36
p 5.0e-9
N 130,777
Large GWAS
multi-ancestry

systolic blood pressure

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele A
OR 0.33
p 1.0e-40
N 1,028,980
Large 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 A
OR 0.02
p 8.0e-20
N 1,212,859
Large GWAS
European
Shi G et al. “Genome-wide variance quantitative trait locus analysis suggests small interaction effects in blood pressure traits.” Scientific Reports 12(1):12649 (2022)
Allele A
OR 0.38
p 3.0e-19
N 396,077
Large GWAS
European
Yang ML et al. “Sex-specific genetic architecture of blood pressure.” Nature Medicine 30(3):818-828 (2024)
Allele A
OR 0.02
p 3.0e-14
N 349,328
Large GWAS
multi-ancestry
Hoffmann TJ et al. “Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.” Nature Genetics 49(1):54-64 (2017)
Allele A
OR 0.25
p 3.0e-10
N 321,262
Large GWAS
multi-ancestry
Surendran P et al. “Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension.” Nature Genetics 48(10):1151-1161 (2016)
Allele A
OR —
β 0.019
p 4.0e-8
N 192,763
Large GWAS
multi-ancestry
Liu C et al. “Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.” Nature Genetics 48(10):1162-70 (2016)
Allele A
OR 0.30
p 3.0e-11
N 146,562
Meta-analysisLarge GWAS
multi-ancestry

diastolic blood pressure

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele A
OR 0.11
p 1.0e-13
N 1,028,980
Large GWAS
multi-ancestry
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 A
OR 0.01
p 4.0e-13
N 928,679
Large GWAS
multi-ancestry
Hoffmann TJ et al. “Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.” Nature Genetics 49(1):54-64 (2017)
Allele A
OR 0.17
p 4.0e-12
N 321,262
Large GWAS
multi-ancestry

BMI-adjusted waist circumference

Christakoudi S et al. “GWAS of allometric body-shape indices in UK Biobank identifies loci suggesting associations with morphogenesis, organogenesis, adrenal cell renewal and cancer.” Scientific Reports 11(1):10688 (2021)
Allele A
OR 0.02
p 1.0e-9
N 219,872
Major Consortium StudyLarge GWAS
European

hippocampal amigdala transition area volume

Liu N et al. “Cross-ancestry genome-wide association meta-analyses of hippocampal and subfield volumes.” Nature Genetics 55(7):1126-1137 (2023)
Allele A
OR 0.04
p 3.0e-9
N 38,977
Large GWAS
European, East Asian

atrial fibrillation

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 G
OR 1.03
p 2.0e-8
N 1,650,345
Meta-analysisLarge 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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