Related Experiment Video
Updated: Feb 13, 2026

07:58
Characterizing Mutational Load and Clonal Composition of Human Blood
Published on: July 11, 2019
7.9K
MT-ND5 Mutation Exhibits Highly Variable Neurological Manifestations at Low Mutant Load
Yi Shiau Ng1, Nichola Z Lax1, Paul Maddison2
1Wellcome Centre for Mitochondrial Research, Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Ebiomedicine
|March 7, 2018
Summary
The m.13094T>C mutation in the MT-ND5 gene is linked to Leigh Syndrome (LS) and other neurological disorders. This study highlights its varied presentation and maternal inheritance, emphasizing the need for whole mitochondrial DNA sequencing in diagnosis.
Area of Science:
- Genetics
- Neurology
- Mitochondrial Biology
Background:
- The m.13094T>C mutation in the MT-ND5 gene has been associated with Leigh Syndrome (LS).
- Mitochondrial DNA (mtDNA) mutations can cause a spectrum of neurological disorders with variable clinical presentations.
Purpose of the Study:
- To investigate the clinical spectrum, inheritance patterns, and pathological features associated with the m.13094T>C MT-ND5 gene mutation.
- To evaluate the diagnostic utility of whole mtDNA genome sequencing for suspected mitochondrial diseases.
Main Methods:
- Retrospective international cohort study.
- Clinical data collection and analysis of 20 affected individuals and 4 asymptomatic carriers.
- Mitochondrial respiratory chain activity analysis in muscle biopsies.
- Neuropathological examination of brain tissue.
Main Results:
- Identified 20 affected individuals across 13 families, with presentations including LS, MELAS, Leber hereditary optic neuropathy, and overlapping syndromes.
- Observed marked variability in tissue segregation and phenotypic expression, even at low blood mutant loads.
- Neuropathology revealed capillary proliferation, microvacuolation, and neuronal loss in the brainstem and cerebellum, without basal ganglia involvement.
Conclusions:
- The m.13094T>C MT-ND5 mutation is associated with a wide range of neurological phenotypes beyond Leigh Syndrome.
- Whole mtDNA genome sequencing is crucial for diagnosing mitochondrial diseases with complex neurological manifestations.
- Understanding tissue segregation and phenotypic variability is key for accurate diagnosis and genetic counseling.
Keywords:
HeteroplasmyLactic acidosis and stroke-like episodes (MELAS)Leigh syndrome (LS)Mitochondrial DNAMitochondrial encephalomyopathyNeuropathologyMore Related Videos
Related Concept Videos
Mutations
94.6K
Overview
94.6K
Mutations
44.7K
Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
44.7K
Viral Mutations
40.0K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
40.0K
Variability: Analysis
528
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
528
Random Variables
17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Mutation, Gene Flow, and Genetic Drift
64.6K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
64.6K

