Literature DB >> 31418856

Argentinian clinical genomics in a leukodystrophies and genetic leukoencephalopathies cohort: Diagnostic yield in our first 9 years.

Leila Cohen1, Analisa Manín1, Nancy Medina1,2, Sergio Rodríguez-Quiroga1,2,3, Dolores González-Morón1,2,4, Julieta Rosales1,2, Hernan Amartino5, Norma Specola6, Marta Córdoba1,2, Marcelo Kauffman1,2,7, Patricia Vega2.   

Abstract

INTRODUCTION AND
OBJECTIVES: Leukodystrophies and genetic leukoencephalopathies constitute a vast group of pathologies of the cerebral white matter. The large number of etiopathogenic genes and the frequent unspecificity on the clinical-radiological presentation generate remarkable difficulties in the diagnosis approach. Despite recent and significant developments, molecular diagnostic yield is still less than 50%. Our objective was to develop and explore the usefulness of a new diagnostic procedure using standardized molecular diagnostic tools, and next-generation sequencing techniques.
MATERIALS AND METHODS: A prospective, observational, analytical study was conducted in a cohort of 46 patients, evaluated between May 2008 and December 2016, with a suspected genetic leukoencephalopathy or leukodystrophy. A diagnostic procedure was set up using classical monogenic tools in patients with characteristic phenotypes, and next-generation techniques in nonspecific ones.
RESULTS: Global diagnostic procedure yield was 57.9%, identifying the etiological pathogenesis in 22 of the 38 studied subjects. Analysis by subgroups, Sanger method, and next-generation sequencing showed a yield of 64%, and 46.1% respectively. The most common pathologies were adrenoleukodystrophy, cerebral autosomal-dominant arteriopathy with subcortical infarcts (CADASIL), and vanishing white matter disease.
CONCLUSIONS: Our results confirm the usefulness of the proposed diagnostic procedure expressed in a high diagnostic yield and suggest a more optimal cost-effectiveness in an etiological analysis phase.
© 2019 John Wiley & Sons Ltd/University College London.

Entities:  

Keywords:  diagnostic procedure; genetic leukoencephalopathies; leukodystrophies; next-generation sequencing

Year:  2019        PMID: 31418856     DOI: 10.1111/ahg.12345

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  3 in total

1.  Geographic and Specialty Access Disparities in US Pediatric Leukodystrophy Diagnosis.

Authors:  Sara Grineski; Danielle X Morales; Timothy Collins; Jacob Wilkes; Joshua L Bonkowsky
Journal:  J Pediatr       Date:  2020-03-03       Impact factor: 4.406

2.  Diagnosis of Genetic White Matter Disorders by Singleton Whole-Exome and Genome Sequencing Using Interactome-Driven Prioritization.

Authors:  Agatha Schlüter; Agustí Rodríguez-Palmero; Edgard Verdura; Valentina Vélez-Santamaría; Montserrat Ruiz; Stéphane Fourcade; Laura Planas-Serra; Juan José Martínez; Cristina Guilera; Marisa Girós; Rafael Artuch; María Eugenia Yoldi; Mar O'Callaghan; Angels García-Cazorla; Judith Armstrong; Itxaso Marti; Elisabet Mondragón Rezola; Claire Redin; Jean Louis Mandel; David Conejo; Concepción Sierra-Córcoles; Sergi Beltrán; Marta Gut; Elida Vázquez; Mireia Del Toro; Mónica Troncoso; Luis A Pérez-Jurado; Luis G Gutiérrez-Solana; Adolfo López de Munain; Carlos Casasnovas; Sergio Aguilera-Albesa; Alfons Macaya; Aurora Pujol
Journal:  Neurology       Date:  2022-01-10       Impact factor: 9.910

3.  Clinical and genetic spectrum of 104 Indian families with central nervous system white matter abnormalities.

Authors:  Parneet Kaur; Michelle C do Rosario; Malavika Hebbar; Suvasini Sharma; Neethukrishna Kausthubham; Karthik Nair; Shrikiran A; Ramesh Bhat Y; Leslie Edward S Lewis; Sheela Nampoothiri; Siddaramappa J Patil; Narayanaswami Suresh; Sunita Bijarnia Mahay; Ratna Dua Puri; Shivanand Pai; Anupriya Kaur; Rakshith Kc; Nutan Kamath; Shruti Bajaj; Ali Kumble; Rajesh Shetty; Rathika Shenoy; Mahesh Kamate; Hitesh Shah; Mamta N Muranjan; Yatheesha Bl; K Shreedhara Avabratha; Girish Subramaniam; Rajagopal Kadavigere; Stephanie Bielas; Katta Mohan Girisha; Anju Shukla
Journal:  Clin Genet       Date:  2021-07-30       Impact factor: 4.438

  3 in total

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