Gene "LOC255411"
Found 1 record
Gene information
Gene symbol:
LOC255411
See related:
Ensembl: , Gene ID:
Additive variants :
Undetected
Genetic interaction partners
No data
Modifier statisitcs
Record:
1 
Disorder:
1 
Vriant:
1 
Reference:
1 
Effect type:
Expressivity(1)  
Modifier effect:
Risk factor(1)  
Detail：
  • Variant 1:
    LOC255411:rs3729972
    Gene:
    LOC255411
    Genomic location:
    dbSNP ID:
    rs3729972
    Target disease:
    Pulmonary Hypertension(DOID_6432)
    Effect type:
    Expressivity 
    Modifier effect:
    Risk factor 
    Evidence:
    P=0.003 
    Effect:
    A multiple regression model, which included age and baseline hemoglobin as covariates, retained SNPs in ACVRL1, BMP6, and ADRB1 as independently contributing to pHTN risk.
    Reference:
    PMID18187665
    Title:
    Identification of genetic polymorphisms associated with risk for pulmonary hypertension in sickle cell disease.
    Species studied:
    Human
    Abstract:
    Up to 30% of adult patients with sickle cell disease (SCD) will develop pulmonary hypertension (pHTN), a complication associated with significant morbidity and mortality. To identify genetic factors that contribute to risk for pHTN in SCD, we performed association analysis with 297 single nucleotide polymorphisms (SNPs) in 49 candidate genes in patients with sickle cell anemia (Hb SS) who had been screened for pHTN by echocardiography (n = 111). Evidence of association was primarily identified for genes in the TGFbeta superfamily, including activin A receptor, type II-like 1 (ACVRL1), bone morphogenetic protein receptor 2 (BMPR2), and bone morphogenetic protein 6 (BMP6). The association of pHTN with ACVRL1 and BMPR2 corroborates the previous association of these genes with primary pHTN. Moreover, genes in the TGFbeta pathway have been independently implicated in risk for several sickle cell complications, suggesting that this gene pathway is important in overall sickle cell pathophysiology. Genetic variation in the beta-1 adrenergic receptor (ADRB1) was also associated with pHTN in our dataset. A multiple regression model, which included age and baseline hemoglobin as covariates, retained SNPs in ACVRL1, BMP6, and ADRB1 as independently contributing to pHTN risk. These findings may offer new promise for identifying patients at risk for pHTN, developing new therapeutic targets, and reducing the occurrence of this life-threatening SCD complication.