PURPOSE: Hereditary spastic paraplegias compose a group of neurodegenerative disorders with a large clinical and genetic heterogeneity. Among the autosomal recessive forms, spastic paraplegia type 11 is the most common. METHODS: To better understand the spastic paraplegia type 11 mutation spectrum, we studied a group of 54 patients with hereditary spastic paraplegia. Mutation screening was performed by PCR amplification of SPG11 coding regions and intron boundaries, followed by sequencing. For the detection of large gene rearrangements, we performed multiplex ligation-dependent probe amplification. RESULTS: We report 13 families with spastic paraplegia type 11 carrying either novel or previously identified mutations. We describe a complex entire SPG11 rearrangement and show that large gene rearrangements are frequent among patients with spastic paraplegia type 11. Moreover, we mapped the deletion breakpoints of three different large SPG11 deletions and provide evidence for Alu microhomology-mediated exon deletion. CONCLUSION: Our analysis shows that the high number of repeated elements in SPG11 together with the presence of recombination hotspots and the high intrinsic instability of the 15q locus all contribute toward making this genomic region more prone to large gene rearrangements. These findings enlarge the amount of data relating repeated elements with neurodegenerative disorders and highlight their importance in human disease and genome evolution.
PURPOSE: Hereditary spastic paraplegias compose a group of neurodegenerative disorders with a large clinical and genetic heterogeneity. Among the autosomal recessive forms, spastic paraplegia type 11 is the most common. METHODS: To better understand the spastic paraplegia type 11 mutation spectrum, we studied a group of 54 patients with hereditary spastic paraplegia. Mutation screening was performed by PCR amplification of SPG11 coding regions and intron boundaries, followed by sequencing. For the detection of large gene rearrangements, we performed multiplex ligation-dependent probe amplification. RESULTS: We report 13 families with spastic paraplegia type 11 carrying either novel or previously identified mutations. We describe a complex entire SPG11 rearrangement and show that large gene rearrangements are frequent among patients with spastic paraplegia type 11. Moreover, we mapped the deletion breakpoints of three different large SPG11 deletions and provide evidence for Alu microhomology-mediated exon deletion. CONCLUSION: Our analysis shows that the high number of repeated elements in SPG11 together with the presence of recombination hotspots and the high intrinsic instability of the 15q locus all contribute toward making this genomic region more prone to large gene rearrangements. These findings enlarge the amount of data relating repeated elements with neurodegenerative disorders and highlight their importance in human disease and genome evolution.
Authors: Oskar Schnappauf; Qing Zhou; Natalia Sampaio Moura; Amanda K Ombrello; Drew G Michael; Natalie Deuitch; Karyl Barron; Deborah L Stone; Patrycja Hoffmann; Michael Hershfield; Carolyn Applegate; Hans T Bjornsson; David B Beck; P Dane Witmer; Nara Sobreira; Elizabeth Wohler; John A Chiorini; The American Genome Center; Clifton L Dalgard; Nih Intramural Sequencing Center; Daniel L Kastner; Ivona Aksentijevich Journal: J Clin Immunol Date: 2020-07-08 Impact factor: 8.317
Authors: Peter A Larsen; Kelsie E Hunnicutt; Roxanne J Larsen; Anne D Yoder; Ann M Saunders Journal: Chromosome Res Date: 2018-02-19 Impact factor: 5.239
Authors: Eleanna Kara; Arianna Tucci; Claudia Manzoni; David S Lynch; Marilena Elpidorou; Conceicao Bettencourt; Viorica Chelban; Andreea Manole; Sherifa A Hamed; Nourelhoda A Haridy; Monica Federoff; Elisavet Preza; Deborah Hughes; Alan Pittman; Zane Jaunmuktane; Sebastian Brandner; Georgia Xiromerisiou; Sarah Wiethoff; Lucia Schottlaender; Christos Proukakis; Huw Morris; Tom Warner; Kailash P Bhatia; L V Prasad Korlipara; Andrew B Singleton; John Hardy; Nicholas W Wood; Patrick A Lewis; Henry Houlden Journal: Brain Date: 2016-05-23 Impact factor: 15.255