Volume 79, Issue 2 pp. 190-203
Review

Leigh syndrome: One disorder, more than 75 monogenic causes

Nicole J. Lake MSc

Nicole J. Lake MSc

Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia

Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia

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Alison G. Compton PhD

Alison G. Compton PhD

Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia

Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia

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Shamima Rahman MD, PhD

Shamima Rahman MD, PhD

Mitochondrial Research Group, Genetics and Genomic Medicine, Institute of Child Health, University College London and Metabolic Unit, Great Ormond Street Hospital, London, United Kingdom

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David R. Thorburn PhD

Corresponding Author

David R. Thorburn PhD

Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Victoria, Australia

Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia

Victorian Clinical Genetic Services, Royal Children's Hospital, Melbourne, Victoria, Australia

Address correspondence to Dr Thorburn, Murdoch Childrens Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville, Victoria, 3052, Australia. E-mail: [email protected]Search for more papers by this author
First published: 27 October 2015
Citations: 407

Abstract

Leigh syndrome is the most common pediatric presentation of mitochondrial disease. This neurodegenerative disorder is genetically heterogeneous, and to date pathogenic mutations in >75 genes have been identified, encoded by 2 genomes (mitochondrial and nuclear). More than one-third of these disease genes have been characterized in the past 5 years alone, reflecting the significant advances made in understanding its etiological basis. We review the diverse biochemical and genetic etiology of Leigh syndrome and associated clinical, neuroradiological, and metabolic features that can provide clues for diagnosis. We discuss the emergence of genotype–phenotype correlations, insights gleaned into the molecular basis of disease, and available therapeutic options. Ann Neurol 2016;79:190–203

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