title: Single nucleotide polymorphisms in the D-loop region of mitochondrial DNA is associated with the kidney survival time in chronic kidney disease patients.
abstract: BACKGROUND
  The mitochondrial displacement loop (D-loop) is known to accumulate mutations and SNPs at a higher frequency than other regions of mitochondrial DNA (mtDNA). We had identified chronic kidney disease (CKD) risk-associated SNPs in the D-loop of CKD patients previously. In this study, we investigated the association of SNPs in the D-loop of mtDNA with the kidney survival of CKD.
  
  
  METHODS
  The D-loop region of mtDNA was sequenced for 119 CKD patients from the inpatient of the Fourth Hospital of Hebei Medical University. The Kaplan-Meier method was used to identify disease outcome-associated SNPs in the D-loop of CKD patients. The Cox proportional hazards model was used to identify risk factors for the kidney survival of CKD.
  
  
  RESULTS
  In the present study, we identified 20 SNPs with a frequency higher than 5% and assessed the relationship of these SNPs with kidney survival time in CKD patients, a SNP of 146 was identified by log-rank test for statistically significant prediction of the kidney survival time. In an overall multivariate analysis, allele 146 was identified as an independent predictor of kidney survival time in CKD patients. The survival time of kidney in the CKD patients with 146C was significantly shorter than that of kidney in CKD patients with 146T (relative risk, 2.336; 95% CI, 1.319-3.923; p = 0.001).
  
  
  CONCLUSIONS
  SNPs in the D-loop can predict the kidney survival of CKD patients. Analysis of genetic polymorphisms in the mitochondrial D-loop can help to identify CKD patient subgroup at high risk of a poor disease outcome.
authors.affiliation: Departments of Nephrology, The Fourth Hospital of Hebei Medical University , Shijiazhuang , PR China and.
authors.forename: Jinsheng
authors.initials: J
authors.lastname: Xu
authors.forename: Zhanjun
authors.initials: Z
authors.lastname: Guo
authors.forename: Yaling
authors.initials: Y
authors.lastname: Bai
authors.forename: Junxia
authors.initials: J
authors.lastname: Zhang
authors.forename: Liwen
authors.initials: L
authors.lastname: Cui
authors.forename: Huiran
authors.initials: H
authors.lastname: Zhang
authors.forename: Shenglei
authors.initials: S
authors.lastname: Zhang
authors.forename: Xiaolu
authors.initials: X
authors.lastname: Ai
mesh_terms: D000328:Adult; D000368:Aged; D004272:DNA, Mitochondrial; D018450:Disease Progression; D005260:Female; D050259:Genes, Mitochondrial; D055106:Genome-Wide Association Study; D005919:Glomerular Filtration Rate; D006801:Humans; D007668:Kidney / Q000473:pathology / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D009154:Mutation; D020641:Polymorphism, Single Nucleotide; D011379:Prognosis; D016016:Proportional Hazards Models; D011446:Prospective Studies; D051436:Renal Insufficiency, Chronic / Q000235:genetics / Q000473:pathology / Q000503:physiopathology; D012307:Risk Factors; D014022:Tissue Survival / Q000235:genetics
chemical_list: D004272:DNA, Mitochondrial
keywords: Chronic kidney disease; D-loop; SNP; mtDNA