rs12880341
This is a intergenic variant variant in the SYNE2 gene.
▶GWAS Catalog Trait Associations (13)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (13)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
sphingomyelin measurement
Harshfield EL et al. “Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci.” Bmc Medicine 19(1):232 (2021)
Allele G
OR 0.06
p 6.0e-26
N 5,662
Large GWAS
South Asian
Chai JF et al. “Associations with metabolites in Chinese suggest new metabolic roles in Alzheimer's and Parkinson's diseases.” Human Molecular Genetics 29(2):189-201 (2020)
Allele G
OR 0.18
p 3.0e-15
N 1,954
Large GWAS
East Asian
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 4.0e-21
N 450,015
Large GWAS
multi-ancestry
cholesteryl esters 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 6.0e-21
N 450,015
Large GWAS
multi-ancestry
triglyceride measurement
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 T
OR 0.02
p 4.0e-19
N 928,679
Large GWAS
multi-ancestry
Richardson TG et al. “Evaluating the relationship between circulating lipoprotein lipids and apolipoproteins with risk of coronary heart disease: A multivariable Mendelian randomisation analysis.” Plos Medicine 17(3):e1003062 (2020)
Allele T
OR 0.02
p 3.0e-14
N 441,016
Large 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 T
OR 0.02
p 1.0e-15
N 394,642
Large GWAS
European
polyunsaturated fatty acids to monounsaturated fatty acids ratio
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-12
N 450,015
Large GWAS
multi-ancestry
degree of unsaturation measurement
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 9.0e-11
N 450,015
Large GWAS
multi-ancestry
level of ceramide
Chai JF et al. “Associations with metabolites in Chinese suggest new metabolic roles in Alzheimer's and Parkinson's diseases.” Human Molecular Genetics 29(2):189-201 (2020)
Allele T
OR 0.21
p 9.0e-11
N 1,954
Large GWAS
East Asian
triglyceride measurement, low density lipoprotein cholesterol measurement
Richardson TG et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” Plos Biology 20(2):e3001547 (2022)
Allele T
OR 0.04
p 1.0e-10
N 115,082
Large GWAS
European
triglycerides in large LDL measurement
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 0.04
p 6.0e-10
N 88,329
Large GWAS
European
triglycerides in LDL measurement
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 0.04
p 1.0e-9
N 88,329
Large GWAS
European
About SYNE2
The protein encoded by this gene is a nuclear outer membrane protein that binds cytoplasmic F-actin. This binding tethers the nucleus to the cytoskeleton and aids in the maintenance of the structural integrity of the nucleus. Several transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Mar 2009]
View all SYNE2 variants →Gene information from NCBI Gene. Variant classifications from ClinVar.
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