Literature DB >> 29079548

A Next Generation Sequencing custom gene panel as first line diagnostic tool for atypical cases of syndromic obesity: Application in a case of Alström syndrome.

Paolo E Maltese1, Giancarlo Iarossi2, Lucia Ziccardi3, Leonardo Colombo4, Luca Buzzonetti2, Antonino Crinò5, Silvia Tezzele6, Matteo Bertelli6.   

Abstract

Obesity phenotype can be manifested as an isolated trait or accompanied by multisystem disorders as part of a syndromic picture. In both situations, same molecular pathways may be involved to different degrees. This evidence is stronger in syndromic obesity, in which phenotypes of different syndromes may overlap. In these cases, genetic testing can unequivocally provide a final diagnosis. Here we describe a patient who met the diagnostic criteria for Alström syndrome only during adolescence. Genetic testing was requested at 25 years of age for a final confirmation of the diagnosis. The genetic diagnosis of Alström syndrome was obtained through a Next Generation Sequencing genetic test approach using a custom-designed gene panel of 47 genes associated with syndromic and non-syndromic obesity. Genetic analysis revealed a novel homozygous frameshift variant p.(Arg1550Lysfs*10) on exon 8 of the ALMS1 gene. This case shows the need for a revision of the diagnostic criteria guidelines, as a consequence of the recent advent of massive parallel sequencing technology. Indications for genetic testing reported in these currently accepted diagnostic criteria for Alström syndrome, were drafted when sequencing was expensive and time consuming. Nowadays, Next Generation Sequencing testing could be considered as first line diagnostic tool not only for Alström syndrome but, more generally, for all those atypical or not clearly distinguishable cases of syndromic obesity, thus avoiding delayed diagnosis and treatments. Early diagnosis permits a better follow-up and pre-symptomatic interventions.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  ALMS1; Alström syndrome; NGS; Obesity

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Year:  2017        PMID: 29079548     DOI: 10.1016/j.ejmg.2017.10.016

Source DB:  PubMed          Journal:  Eur J Med Genet        ISSN: 1769-7212            Impact factor:   2.708


  1 in total

1.  Genetic investigation of syndromic forms of obesity.

Authors:  Laura Machado Lara Carvalho; Carla Sustek D'Angelo; Darine Villela; Silvia Souza da Costa; Alexander Augusto de Lima Jorge; Israel Tojal da Silva; Marília de Oliveira Scliar; Luiza Dias Chaves; Ana Cristina Victorino Krepischi; Celia Priszkulnik Koiffmann; Carla Rosenberg
Journal:  Int J Obes (Lond)       Date:  2022-05-21       Impact factor: 5.551

  1 in total

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