Association of sequence polymorphism in the mitochondrial D-loop with chronic kidney disease
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Updated: May 2, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Yaling Bai1, Zhanjun Guo, Jinsheng Xu
1Department of Nephrology, The Fourth Hospital of Hebei Medical University , Shijiazhuang , P.R. China and.
Background:
The mitochondrial displacement loop (D-loop) is known to accumulate mutations and single nucleotide polymorphisms (SNPs) at a higher frequency than other regions of mitochondrial DNA (mtDNA).
Methods:
This is a case-control study. We sequenced SNPs in the D-loop of mtDNA and investigated their association with the risk of chronic kidney disease (CKD).
Results:
A total of 144 SNPs referring to the positions of the Revised Cambridge Reference Sequence (rCRS) for mitochondrial genome were identified in a case-control study. The minor alleles of nucleotides 73G, 146C, 150T, 194T, 195C and 310C were associated with an increased risk for CKD patients.
Conclusion:
Analysis of genetic polymorphisms in the mitochondrial D-loop can help identify the people who are at a high risk of developing chronic kidney disease. These SNPs can be considered as potential predictors for CKD.
Insights
Genetic variations in the mitochondrial DNA D-loop may predict chronic kidney disease (CKD) risk. Specific single nucleotide polymorphisms (SNPs) in the D-loop are associated with increased CKD susceptibility.
Area of Science:
- Genetics
- Mitochondrial DNA Research
- Nephrology
Background:
- The mitochondrial DNA (mtDNA) displacement loop (D-loop) exhibits a high mutation and single nucleotide polymorphism (SNP) accumulation rate.
- Understanding genetic factors influencing disease risk is crucial for early detection and intervention.
Purpose of the Study:
- To investigate the association between SNPs in the mitochondrial D-loop and the risk of developing chronic kidney disease (CKD).
- To identify potential genetic markers for CKD risk prediction.
Main Methods:
- A case-control study design was employed.
- Sequencing of SNPs within the mitochondrial D-loop of participants.
- Statistical analysis to determine the association between specific SNPs and CKD.
Main Results:
- 144 SNPs, referenced to the Revised Cambridge Reference Sequence (rCRS), were identified.
- Minor alleles at nucleotide positions 73G, 146C, 150T, 194T, 195C, and 310C were significantly associated with an elevated risk of CKD.
- These findings suggest a correlation between specific mtDNA D-loop polymorphisms and CKD.
Conclusions:
- Genetic polymorphisms in the mitochondrial D-loop serve as potential predictors for chronic kidney disease.
- Analysis of these SNPs can aid in identifying individuals at high risk for CKD.
- This research contributes to the understanding of the genetic basis of CKD.
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