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Phenotypic heterogeneity in m.3243A>G mitochondrial disease: The role of nuclear factors

Lookup NU author(s): Dr Sarah Pickett, Dr John Grady, Dr Yi Ng, Dr Grainne Gorman, Dr Andrew Schaefer, Dr Ian Wilson, Professor Heather Cordell, Professor Doug Turnbull, Professor Robert Taylor, Professor Bobby McFarland

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Objective: The pathogenic mitochondrial DNA m.3243A>G mutation is associated with a wide range of clinical features, making disease prognosis extremely difficult to predict. We aimed to understand the cause of this heterogeneity.Methods: We examined the phenotypic profile of 238 adult m.3243A>G carriers (patients and asymptomatic carriers) from the UK MRC Mitochondrial Disease Patient Cohort using the Newcastle Mitochondrial Disease Adult Scale. We modeled the role of risk factors for the development of specific phenotypes using proportional odds logistic regression. As mitochondria are under the dual control of their own and the nuclear genome, we examined the role of additive nuclear genetic factors in the development of these phenotypes within 46 pedigrees from the cohort.Results: Seizures and stroke-like episodes affect 25% and 17% of patients, respectively; more common features include hearing impairment, gastrointestinal disturbance, psychiatric involvement, and ataxia. Age, age-adjusted blood heteroplasmy levels, and sex are poor predictors of phenotypic severity. Hearing impairment, diabetes, and encephalopathy show the strongest associations, but pseudo-R2 values are low (0.14-0.17). We found a high heritability estimate for psychiatric involvement (h2=0.76, P = 0.0003) and moderate estimates for cognition (h2=0.46, P = 0.0021), ataxia (h2 = 0.45, P = 0.0011), migraine (h2 = 0.41, P = 0.0138), and hearing impairment (h2 = 0.40, P = 0.0050).Interpretation: Our results provide good evidence for the presence of nuclear genetic factors influencing clinical outcomes in m.3234A>G-related disease, paving the way for future work identifying these through large-scale genetic linkage and association studies, increasing our understanding of the pathogenicity of m.3243A>G and providing improved estimates of prognosis.


Publication metadata

Author(s): Pickett S, Grady JP, Ng YS, Gorman GS, Schaefer AM, Wilson IJ, Cordell HJ, Turnbull DM, Taylor RW, McFarland R

Publication type: Article

Publication status: Published

Journal: Annals of Clinical and Translational Neurology

Year: 2018

Volume: 5

Issue: 3

Pages: 333-345

Print publication date: 01/03/2018

Online publication date: 07/02/2018

Acceptance date: 21/12/2017

Date deposited: 18/04/2018

ISSN (electronic): 2328-9503

Publisher: John Wiley and Sons Ltd

URL: https://doi.org/10.1002/acn3.532

DOI: 10.1002/acn3.532

PubMed id: 29560378


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