rs10195252

This is a intron variant variant.

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GWAS Catalog Trait Associations (52)

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

BMI-adjusted waist-hip ratio

Lotta LA et al. “Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors.” Jama 320(24):2553-2563 (2018)
Allele T
OR 0.03
p 9.0e-69
N 660,648
Large GWAS
European
Winkler TW et al. “The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.” Plos Genetics 11(10):e1005378 (2015)
Allele T
OR —
β 0.026
p 6.0e-15
N 252,375
Large GWAS
European
Shungin D et al. “New genetic loci link adipose and insulin biology to body fat distribution.” Nature 518(7538):187-196 (2015)
Allele T
OR 0.05
p 5.0e-30
N 143,480
Large GWAS
multi-ancestry
Graff M et al. “Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.” Plos Genetics 13(4):e1006528 (2017)
Allele T
OR 0.06
p 5.0e-21
N 118,949
Meta-analysisLarge GWAS
multi-ancestry

triglyceride 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 C
OR 0.05
p 1.0e-65
N 391,626
Major Consortium StudyLarge GWAS
European
Karjalainen MK et al. “Genome-wide characterization of circulating metabolic biomarkers.” Nature 628(8006):130-138 (2024)
Allele C
OR 0.04
p 3.0e-19
N 136,016
Large GWAS
multi-ancestry
Teslovich TM et al. “Biological, clinical and population relevance of 95 loci for blood lipids.” Nature 466(7307):707-713 (2010)
Allele C
OR 2.01
p 2.0e-10
N 96,598
Large GWAS
European

cholesteryl esters to total lipids in very small VLDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.03
p 3.0e-43
N 450,015
Large GWAS
multi-ancestry

cholesteryl esters to total lipids in large VLDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.03
p 2.0e-42
N 450,015
Large GWAS
multi-ancestry

cholesterol to total lipids in very small VLDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.03
p 9.0e-40
N 450,015
Large GWAS
multi-ancestry

free cholesterol to total lipids in medium VLDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.02
p 6.0e-36
N 450,015
Large GWAS
multi-ancestry

diabetic neuropathy

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 0.07
p 3.0e-29
N 434,644
Major Consortium StudyLarge GWAS
European

cholesterol to total lipids in IDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.02
p 7.0e-28
N 450,015
Large GWAS
multi-ancestry
Davyson E et al. “Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.” Biological Psychiatry 94(8):630-639 (2023)
Allele C
OR 0.03
p 7.0e-12
N 88,329
Large GWAS
European

triglycerides to total lipids in small VLDL percentage

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele C
OR 0.02
p 3.0e-26
N 450,015
Large GWAS
multi-ancestry
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Research that mentions this SNP (4)

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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
PubMedDOIMetascience Observatory
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Association of the LINGO2-related SNP rs10968576 with body mass in a cohort of elderly Swedes
AssociationN=949Mathias Rask-Andersen et al.(2015)· Molecular Genetics and Genomics

Association study of 35 GWAS-identified body mass SNPs in 949 elderly Swedish participants (mean age 70-75 years). Significant association found between rs10968576 (LINGO2, intron 4) and BMI with a larger effect size (β = 0.69 kg/m²) than reported in younger populations, suggesting age-specific genetic effects on body mass in the elderly.

Traits studied:Body Mass IndexBody adiposityObesityOverweight
PubMedDOIMetascience Observatory
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Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes
AssociationN=76,071Albrechtsen A. et al.(2013)· Diabetologia

Three-stage exome sequencing and replication study identified three amino-acid polymorphisms associated with metabolic traits: CD300LG R82C associated with fasting HDL-cholesterol (p=7.2×10⁻⁸), and COBLL1 N939D (rs7607980, p=1.2×10⁻¹¹) and MACF1 M2290V (rs2296172, p=8.2×10⁻¹⁰) both associated with type 2 diabetes. The study involved exome sequencing of 1,974 Danish individuals with replication in 15,989 Danes and 63,896 Europeans.

Traits studied:BMIFasting glucoseHDL-cholesterolHypertensionObesityTriacylglycerolType 2 diabetesWaist circumference
PubMedDOIMetascience Observatory
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Association studies of novel obesity-related gene variants with quantitative metabolic phenotypes in a population-based sample of 6,039 Danish individuals
AssociationN=6,039Burgdorf KS et al.(2012)· Diabetologia

This association study investigates 18 BMI-associated and 14 WHR-associated gene variants identified by prior GWAS in 6,039 Danish individuals from the Inter99 cohort. The study found that QPCTL rs2287019 C allele was associated with increased insulinogenic index (7.4%, p=4.0×10⁻⁷) and disposition index (5.6%, p=6.4×10⁻⁵), while LRP1B rs2890652 C allele was associated with insulin resistance (3.3% increase in HOMA-IR, p=0.0011). For WHR variants, LYPLAL1/SLC30A10 rs4846567 G allele carriers showed improved insulin sensitivity (5.2% lower HOMA-IR in women, p=0.00086), whereas VEGFA rs6905288 A allele carriers showed insulin resistance in women (3.7% increase in HOMA-IR, p=0.00036).

Traits studied:BIGTT-AIR (Beta Cell Function)Body Mass Index (BMI)Disposition IndexFasting Plasma GlucoseFasting Serum InsulinHOMA-IR (Insulin Resistance)Insulinogenic IndexMatsuda Index (Insulin Sensitivity)Waist-Hip Ratio (WHR)
PubMedDOIMetascience Observatory

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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