Prevalence of nuclear and mitochondrial DNA mutations related to adult mitochondrial disease

线粒体DNA 粒线体疾病 疾病 核DNA 线粒体 生物 点突变 核基因 遗传学 突变 人类线粒体遗传学 无症状的 医学 病理 基因
作者
Gráinne S. Gorman,Andrew M. Schaefer,Yi Shiau Ng,Nicholas Gomez,Emma L. Blakely,Charlotte L. Alston,Catherine L Feeney,Rita Horváth,Patrick Yu‐Wai‐Man,Patrick Francis Chinnery,Robert William Taylor,Douglass M. Turnbull,Robert McFarland
出处
期刊:Annals of Neurology [Wiley]
卷期号:77 (5): 753-759 被引量:978
标识
DOI:10.1002/ana.24362
摘要

OBJECTIVE: The prevalence of mitochondrial disease has proven difficult to establish, predominantly as a result of clinical and genetic heterogeneity. The phenotypic spectrum of mitochondrial disease has expanded significantly since the original reports that associated classic clinical syndromes with mitochondrial DNA (mtDNA) rearrangements and point mutations. The revolution in genetic technologies has allowed interrogation of the nuclear genome in a manner that has dramatically improved the diagnosis of mitochondrial disorders. We comprehensively assessed the prevalence of all forms of adult mitochondrial disease to include pathogenic mutations in both nuclear and mtDNA. METHODS: Adults with suspected mitochondrial disease in the North East of England were referred to a single neurology center from 1990 to 2014. For the midyear period of 2011, we evaluated the minimum prevalence of symptomatic nuclear DNA mutations and symptomatic and asymptomatic mtDNA mutations causing mitochondrial diseases. RESULTS: The minimum prevalence rate for mtDNA mutations was 1 in 5,000 (20 per 100,000), comparable with our previously published prevalence rates. In this population, nuclear mutations were responsible for clinically overt adult mitochondrial disease in 2.9 per 100,000 adults. INTERPRETATION: Combined, our data confirm that the total prevalence of adult mitochondrial disease, including pathogenic mutations of both the mitochondrial and nuclear genomes (≈1 in 4,300), is among the commonest adult forms of inherited neurological disorders. These figures hold important implications for the evaluation of interventions, provision of evidence-based health policies, and planning of future services.
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