rs860598

GWAS Catalog Trait Associations (1)

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

insulin measurement

Chen J et al. The trans-ancestral genomic architecture of glycemic traits. Nature Genetics 53(6):840-860 (2021)
Allele A
OR
β 0.018
p 7.0e-12
N 151,013
Large GWAS
European

Research that mentions this SNP (2)

Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium
AssociationN=26,760Stephanie A. Bien et al.(2017)· Diabetologia

Transethnic fine-mapping study of glycaemic traits in 26,760 participants (Hispanic/Latino, African, Asian, and Native American) using the Metabochip. Replicated 31/39 fasting glucose and 14/17 fasting insulin loci from European GWAS. Identified two novel secondary signals at G6PC2-rs477224 and GCK-rs2908290, a population-specific signal at G6PC2-rs77719485 in African ancestry, and one novel locus at SLC17A2-rs75862513 for fasting insulin.

Traits studied:Fasting glucoseFasting insulinType 2 diabetes
Genetic association and sequencing of the insulin-like growth factor 1 gene in bipolar affective disorder
AssociationN=1,878Ana C. Parente Pereira et al.(2011)· American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

A genome-wide association study (GWAS) of 506-937 bipolar affective disorder cases and 510-990 controls identified multiple SNPs in the IGF1 gene associated with bipolar disorder, with four SNPs showing p-values of 3.7×10⁻⁵, 8.4×10⁻⁴, 2.6×10⁻⁴, and 2.5×10⁻⁴. Resequencing identified novel variants in IGF1, including rs5742620 (p=0.0454) and rs78352613 (p=0.006) in the promoter region. Gene-wide analysis and haplotypic association confirmed IGF1 as a candidate susceptibility gene for bipolar disorder with dominant inheritance pattern.

Traits studied:Bipolar I disorderBipolar II disorderBipolar affective disorderMood disorder

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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