Gene "ECE1"
Found 3 records
Gene information
Gene symbol:
ECE1
See related:
Ensembl: ENSG00000117298, Gene ID: 1889
Additive variants :
Undetected
Genetic interaction partners
No data
Modifier statisitcs
Record:
3 
Disorder:
2 
Vriant:
3 
Reference:
2 
Effect type:
Expressivity(3)  
Modifier effect:
Risk factor(3)  
Details：
  • Variant 1:
    ECE1:c.762+172G>A
    Gene:
    ECE1
    Genomic location:
    chr1:21585014
    dbSNP ID:
    rs212527
    Target disease:
    Necrosis(EFO_0009426)
    Effect type:
    Expressivity 
    Modifier effect:
    Risk factor 
    Evidence:
    Assessment of genotype–phenotype associations 
    Effect:
    Bone morphogenic protein 6, annexin A2, and klotho were associated with sickle cell osteonecrosis and at high risk for osteonecrosis.
    Reference:
    PMID15784727
    Title:
    Association of klotho, bone morphogenic protein 6, and annexin A2 polymorphisms with sickle cell osteonecrosis.
    Species studied:
    Human
    Abstract:
    In patients with sickle cell disease, clinical complications including osteonecrosis can vary in frequency and severity, presumably due to the effects of genes that modify the pathophysiology initiated by the sickle mutation. Here, we examined the association of single nucleotide polymorphisms (SNPs) in candidate genes (cytokines, inflammation, oxidant stress, bone metabolism) with osteonecrosis in patients with sickle cell disease. Genotype distributions were compared between cases and controls using multiple logistic regression techniques. An initial screen and follow-up studies showed that individual SNPs and haplotypes composed of several SNPs in bone morphogenic protein 6, annexin A2, and klotho were associated with sickle cell osteonecrosis. These genes are important in bone morphology, metabolism, and vascular disease. Our results may provide insight into the pathogenesis of osteonecrosis in sickle cell disease, help identify individuals who are at high risk for osteonecrosis, and thus allow earlier and more effective therapeutic intervention.
  • Variant 2:
    ECE1:c.616-329A>G
    Gene:
    ECE1
    Genomic location:
    chr1:21585661
    dbSNP ID:
    rs212528
    Target disease:
    Sickle Cell Anemia(DOID_10923)
    Effect type:
    Expressivity 
    Modifier effect:
    Risk factor 
    Evidence:
    Bayesian approach 
    Effect:
    31 SNPs in 12 genes interact with fetal hemoglobin to modulate the risk of stroke
    Reference:
    PMID15778708
    Title:
    Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia.
    Species studied:
    Human
    Abstract:
    Sickle cell anemia (SCA) is a paradigmatic single gene disorder caused by homozygosity with respect to a unique mutation at the beta-globin locus. SCA is phenotypically complex, with different clinical courses ranging from early childhood mortality to a virtually unrecognized condition. Overt stroke is a severe complication affecting 6-8% of individuals with SCA. Modifier genes might interact to determine the susceptibility to stroke, but such genes have not yet been identified. Using Bayesian networks, we analyzed 108 SNPs in 39 candidate genes in 1,398 individuals with SCA. We found that 31 SNPs in 12 genes interact with fetal hemoglobin to modulate the risk of stroke. This network of interactions includes three genes in the TGF-beta pathway and SELP, which is associated with stroke in the general population. We validated this model in a different population by predicting the occurrence of stroke in 114 individuals with 98.2% accuracy.
  • Variant 3:
    ECE1:c.494-1393C>T
    Gene:
    ECE1
    Genomic location:
    chr1:21588278
    dbSNP ID:
    rs212531
    Target disease:
    Sickle Cell Anemia(DOID_10923)
    Effect type:
    Expressivity 
    Modifier effect:
    Risk factor 
    Evidence:
    Bayesian approach 
    Effect:
    31 SNPs in 12 genes interact with fetal hemoglobin to modulate the risk of stroke
    Reference:
    PMID15778708
    Title:
    Genetic dissection and prognostic modeling of overt stroke in sickle cell anemia.
    Species studied:
    Human
    Abstract:
    Sickle cell anemia (SCA) is a paradigmatic single gene disorder caused by homozygosity with respect to a unique mutation at the beta-globin locus. SCA is phenotypically complex, with different clinical courses ranging from early childhood mortality to a virtually unrecognized condition. Overt stroke is a severe complication affecting 6-8% of individuals with SCA. Modifier genes might interact to determine the susceptibility to stroke, but such genes have not yet been identified. Using Bayesian networks, we analyzed 108 SNPs in 39 candidate genes in 1,398 individuals with SCA. We found that 31 SNPs in 12 genes interact with fetal hemoglobin to modulate the risk of stroke. This network of interactions includes three genes in the TGF-beta pathway and SELP, which is associated with stroke in the general population. We validated this model in a different population by predicting the occurrence of stroke in 114 individuals with 98.2% accuracy.