rs4760682

This variant is located in the PFKM gene.

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GWAS Catalog Trait Associations (14)

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

pyruvate measurement

Zoodsma M et al. “A genetic map of human metabolism across the allele frequency spectrum.” Nature Genetics 57(10):2445-2455 (2025)
Allele A
OR 0.12
p —
N 450,015
Large GWAS
multi-ancestry
Richardson TG et al. “Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation.” Plos Biology 20(2):e3001547 (2022)
Allele A
OR 0.12
p 4.0e-114
N 114,749
Large GWAS
European
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 A
OR 0.12
p 5.0e-85
N 88,069
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 0.08
p 2.0e-156
N 415,403
Large GWAS
multi-ancestry

hemoglobin 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 A
OR 0.05
p 2.0e-75
N 928,679
Large GWAS
multi-ancestry
Oskarsson GR et al. “Predicted loss and gain of function mutations in ACO1 are associated with erythropoiesis.” Communications Biology 3(1):189 (2020)
Allele A
OR —
β 0.045
p 5.0e-61
N 684,122
Large GWAS
European
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 A
OR 0.04
p 2.0e-26
N 584,680
Major Consortium StudyLarge 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 A
OR 0.04
p 4.0e-49
N 502,921
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele A
OR 0.04
p 3.0e-45
N 408,112
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 A
OR 0.04
p 3.0e-73
N 394,642
Large GWAS
European
Astle WJ et al. “The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.” Cell 167(5):1415-1429.e19 (2016)
Allele A
OR 0.05
p 1.0e-26
N 172,925
Large GWAS
European
Timoteo VJ et al. “Common and ethnic-specific genetic determinants of hemoglobin concentration between Taiwanese Han Chinese and European Whites: findings from comparative two-stage genome-wide association studies.” The Journal of Nutritional Biochemistry 111:109126 (2023)
Allele A
OR —
β 0.043
p 2.0e-19
N 46,904
Large GWAS
European

high density lipoprotein cholesterol measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.04
p 1.0e-69
N 394,642
Large GWAS
European

red blood cell density

Chen MH et al. “Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.” Cell 182(5):1198-1213.e14 (2020)
Allele A
OR 0.03
p 4.0e-43
N 545,203
Large GWAS
European

erythrocyte count

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 0.04
p 5.0e-41
N 928,679
Large GWAS
multi-ancestry
Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele A
OR 0.03
p 6.0e-18
N 408,112
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 A
OR 0.03
p 2.0e-36
N 394,642
Large GWAS
European

protein measurement

Pietzner M et al. “Mapping the proteo-genomic convergence of human diseases.” Science (new York, N.y.) 374(6569):eabj1541 (2021)
Allele A
OR 0.16
p 4.0e-24
N 10,708
Large GWAS
European

HbA1c measurement

Chen J et al. “The trans-ancestral genomic architecture of glycemic traits.” Nature Genetics 53(6):840-860 (2021)
Allele A
OR 0.02
p 3.0e-20
N 146,806
Large GWAS
European

bilirubin measurement

Loya H et al. “A scalable variational inference approach for increased mixed-model association power.” Nature Genetics 57(2):461-468 (2025)
Allele A
OR 0.01
p 1.0e-12
N 394,642
Large GWAS
European
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 2.0e-12
N 928,679
Large GWAS
multi-ancestry

reticulocyte amount

Vuckovic D et al. “The Polygenic and Monogenic Basis of Blood Traits and Diseases.” Cell 182(5):1214-1231.e11 (2020)
Allele A
OR 0.02
p 1.0e-11
N 408,112
Large GWAS
European
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ClinVar annotation

Benign★★★☆
2 submitters1 publication

Glycogen storage disease, type VII; not provided

View on ClinVar →

About PFKM

Three phosphofructokinase isozymes exist in humans: muscle, liver and platelet. These isozymes function as subunits of the mammalian tetramer phosphofructokinase, which catalyzes the phosphorylation of fructose-6-phosphate to fructose-1,6-bisphosphate. Tetramer composition varies depending on tissue type. This gene encodes the muscle-type isozyme. Mutations in this gene have been associated with glycogen storage disease type VII, also known as Tarui disease. Alternatively spliced transcript variants have been described.[provided by RefSeq, Nov 2009]

View all PFKM variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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