rs348330

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GWAS Catalog Trait Associations (8)

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

type 2 diabetes mellitus

Suzuki K et al. “Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.” Nature 627(8003):347-357 (2024)
Allele G
OR —
p 8.0e-44
N 2,535,601
Large GWAS
multi-ancestry
Elashi AA et al. “Genome-wide association study and trans-ethnic meta-analysis identify novel susceptibility loci for type 2 diabetes mellitus.” Bmc Medical Genomics 17(1):115 (2024)
Allele G
OR 0.04
p 7.0e-17
N 6,710,881
Meta-analysisLarge GWAS
multi-ancestry
Vujkovic M et al. “Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.” Nature Genetics 52(7):680-691 (2020)
Allele G
OR 0.05
p 7.0e-16
N 1,114,458
Meta-analysisLarge GWAS
European
Mahajan A et al. “Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps.” Nature Genetics 50(11):1505-1513 (2018)
Allele G
OR 1.05
p 3.0e-14
N 898,130
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 G
OR 0.05
p 3.0e-15
N 667,504
Large GWAS
multi-ancestry
Xue A et al. “Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.” Nature Communications 9(1):2941 (2018)
Allele G
OR 0.05
p 2.0e-9
N 659,316
Large GWAS
multi-ancestry
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 0.04
p 1.0e-20
N 432,648
Major Consortium StudyLarge GWAS
European
Huerta-Chagoya A et al. “Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.” Nature Genetics 56(11):2370-2379 (2024)
Allele G
OR 0.06
p 5.0e-15
N 421,743
Large GWAS
multi-ancestry
Mahajan A et al. “Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.” Nature Genetics 54(5):560-572 (2022)
Allele G
OR 0.05
p 2.0e-13
N 251,740
Large GWAS
European

blood glucose amount

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 0.02
p 1.0e-30
N 928,679
Large GWAS
multi-ancestry
Kim YJ et al. “The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians.” Nature Communications 13(1):6642 (2022)
Allele A
OR 0.02
p 1.0e-9
N 288,127
Large GWAS
East Asian

HbA1c measurement

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 0.03
p 2.0e-25
N 338,857
Major Consortium StudyLarge 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 0.02
p 1.0e-24
N 394,642
Large GWAS
European

hemoglobin A1 measurement

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele A
OR 0.02
p 3.0e-19
N 415,403
Large GWAS
multi-ancestry

diabetes mellitus

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 0.05
p 4.0e-16
N 611,168
Major Consortium StudyLarge GWAS
multi-ancestry

Drugs used in diabetes use measurement

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele A
OR 0.06
p 8.0e-12
N 484,639
Large GWAS
multi-ancestry

diabetic retinopathy

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 0.06
p 1.0e-11
N 432,209
Major Consortium StudyLarge GWAS
European

glucose measurement

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 0.03
p 2.0e-22
N 601,111
Major Consortium StudyLarge GWAS
multi-ancestry
Lagou V et al. “GWAS of random glucose in 476,326 individuals provide insights into diabetes pathophysiology, complications and treatment stratification.” Nature Genetics 55(9):1448-1461 (2023)
Allele G
OR 0.00
p 4.0e-13
N 475,416
Large GWAS
multi-ancestry
Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele G
OR 0.02
p 8.0e-13
N 450,015
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 G
OR 0.02
p 3.0e-13
N 448,252
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 G
OR 0.02
p 4.0e-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 G
OR 0.02
p 1.0e-13
N 325,386
Major Consortium StudyLarge GWAS
multi-ancestry
Chen J et al. “The trans-ancestral genomic architecture of glycemic traits.” Nature Genetics 53(6):840-860 (2021)
Allele G
OR —
β 0.012
p 3.0e-10
N 200,622
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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