4.5 Article

Massive sequencing of 70 genes reveals a myriad of missing genes or mechanisms to be uncovered in hereditary spastic paraplegias

Journal

EUROPEAN JOURNAL OF HUMAN GENETICS
Volume 25, Issue 11, Pages 1217-1228

Publisher

SPRINGERNATURE
DOI: 10.1038/ejhg.2017.124

Keywords

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Funding

  1. FCT (Fundacao para a Ciencia e Tecnologia) [FCT-ANR/BEX-GMG/0008/2013]
  2. French National Agency for Research (SPATAX-QUEST)
  3. European Union
  4. VERUM Foundation
  5. program 'Investissements d'Avenir' [ANR-10-IAIHU-06]
  6. FCT [SFRH/BD/87189/2012]
  7. POPH/FSE funding
  8. Fundação para a Ciência e a Tecnologia [FCT-ANR/BEX-GMG/0008/2013, SFRH/BD/87189/2012] Funding Source: FCT

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Hereditary spastic paraplegias (HSP) are neurodegenerative disorders characterized by lower limb spasticity and weakness that can be complicated by other neurological or non-neurological signs. Despite a high genetic heterogeneity (460 causative genes), 40-70% of the families remain without a molecular diagnosis. Analysis of one of the pioneer cohorts of 193 HSP families generated in the early 1990s in Portugal highlighted that SPAST and SPG11 are the most frequent diagnoses. We have now explored 98 unsolved families from this series using custom next generation sequencing panels analyzing up to 70 candidate HSP genes. We identified the likely disease-causing variant in 20 of the 98 families with KIF5A being the most frequently mutated gene. We also found 52 variants of unknown significance (VUS) in 38% of the cases. These new diagnoses resulted in 42% of solved cases in the full Portuguese cohort (81/193). Segregation of the variants was not always compatible with the presumed inheritance, indicating that the analysis of all HSP genes regardless of the inheritance mode can help to explain some cases. Our results show that there is still a large set of unknown genes responsible for HSP and most likely novel mechanisms or inheritance modes leading to the disease to be uncovered, but this will require international collaborative efforts, particularly for the analysis of VUS.

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