rs6464165

This is a intron variant variant in the PRKAG2 gene.

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GWAS Catalog Trait Associations (20)

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

hematocrit

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 0.07
p 4.0e-207
N 928,679
Large GWAS
multi-ancestry
Hu Y et al. “Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program.” American Journal of Human Genetics 108(5):874-893 (2021)
Allele T
OR 0.16
p 9.0e-12
N 62,487
Large GWAS
multi-ancestry

serum creatinine 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 T
OR 0.07
p 4.0e-186
N 928,679
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 T
OR 0.05
p 8.0e-145
N 394,642
Large GWAS
European
Graham SE et al. “Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis.” Nature Communications 10(1):1847 (2019)
Allele T
OR 0.05
p 8.0e-12
N 69,591
Meta-analysisLarge 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 T
OR 0.07
p 2.0e-173
N 928,679
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 T
OR 0.05
p 2.0e-108
N 503,987
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 T
OR 0.05
p 2.0e-151
N 394,642
Large GWAS
European

systolic blood pressure

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele C
OR 0.35
p 8.0e-39
N 1,028,980
Large GWAS
multi-ancestry
Teixeira SK et al. “Assessing the predictive efficacy of European-based systolic blood pressure polygenic risk scores in diverse Brazilian cohorts.” Scientific Reports 14(1):28123 (2024)
Allele C
OR 0.43
p 4.0e-12
N 286,581
Large GWAS
European

diastolic blood pressure

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele C
OR 0.20
p 1.0e-33
N 1,028,980
Large GWAS
multi-ancestry
Koskeridis F et al. “Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.” Nature Communications 15(1):9827 (2024)
Allele C
OR 0.02
p 4.0e-27
N 1,212,859
Large GWAS
European
Plotnikov D et al. “High Blood Pressure and Intraocular Pressure: A Mendelian Randomization Study.” Investigative Ophthalmology & Visual Science 63(6):29 (2022)
Allele C
OR 0.18
p 1.0e-14
N 526,001
Large GWAS
European
Yang ML et al. “Sex-specific genetic architecture of blood pressure.” Nature Medicine 30(3):818-828 (2024)
Allele C
OR 0.02
p 8.0e-12
N 349,328
Large GWAS
multi-ancestry

uric acid measurement

Sakaue S et al. “A cross-population atlas of genetic associations for 220 human phenotypes.” Nature Genetics 53(10):1415-1424 (2021)
Allele C
OR 0.03
p 4.0e-32
N 473,241
Large GWAS
multi-ancestry

gout

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 5.0e-24
N 437,979
Major Consortium StudyLarge GWAS
European

hypertensive heart disease, kidney disease

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 0.05
p 4.0e-16
N 419,579
Major Consortium StudyLarge GWAS
European

glycine 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 2.0e-15
N 450,015
Large GWAS
multi-ancestry

pulse pressure measurement

Keaton JM et al. “Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.” Nature Genetics 56(5):778-791 (2024)
Allele C
OR 0.15
p 2.0e-15
N 1,028,980
Large GWAS
multi-ancestry

About PRKAG2

AMP-activated protein kinase (AMPK) is a heterotrimeric protein composed of a catalytic alpha subunit, a noncatalytic beta subunit, and a noncatalytic regulatory gamma subunit. Various forms of each of these subunits exist, encoded by different genes. AMPK is an important energy-sensing enzyme that monitors cellular energy status and functions by inactivating key enzymes involved in regulating de novo biosynthesis of fatty acid and cholesterol. This gene is a member of the AMPK gamma subunit family. Mutations in this gene have been associated with Wolff-Parkinson-White syndrome, familial hypertrophic cardiomyopathy, and glycogen storage disease of the heart. Alternate transcriptional splice variants, encoding different isoforms, have been characterized. [provided by RefSeq, Jan 2015]

View all PRKAG2 variants →

Gene information from NCBI Gene. Variant classifications from ClinVar.

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