Literature DB >> 27574853

Exploiting the potential of next-generation sequencing in genomic medicine.

Anna Maria Pinto1,2, Francesca Ariani1,2, Laura Bianciardi1, Sergio Daga1, Alessandra Renieri1,2.   

Abstract

INTRODUCTION: The review highlights the impact of next-generation sequencing (NGS) on genomic medicine and the consequences of the progression from a single-gene panel technology to a whole exome sequencing approach. AREAS COVERED: We brought together literature-based evidences, personal unpublished data and clinical experience to provide a critical overview of the impact of NGS on our daily clinical practice. Expert commentary: NGS has changed the role of clinical geneticist and has broadened the view accomplishing a transition from a monogenic Mendelian perspective to an oligogenic approach to disorders. Thus, it is a compelling new expertise which combines clinical evaluation with big omics data interpretation and moves forward to phenotype re-evaluation in light of data analysis. We introduced the term, 'exotyping', to highlight this holistic approach. Further, the review discusses the impact that the combination of genetic reprogramming and transcriptome analysis will have on the discovery of evidence-based therapies.

Entities:  

Keywords:  RNA-seq profiling; Targeted gene sequencing; exotyping; genotyping; oligogenic disorders; phenotyping; whole exome sequencing; whole genome sequencing

Mesh:

Year:  2016        PMID: 27574853     DOI: 10.1080/14737159.2016.1224181

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  3 in total

Review 1.  Personalized medicine: Genetic risk prediction of drug response.

Authors:  Ge Zhang; Daniel W Nebert
Journal:  Pharmacol Ther       Date:  2017-02-14       Impact factor: 12.310

Review 2.  3D brain Organoids derived from pluripotent stem cells: promising experimental models for brain development and neurodegenerative disorders.

Authors:  Chun-Ting Lee; Raphael M Bendriem; Wells W Wu; Rong-Fong Shen
Journal:  J Biomed Sci       Date:  2017-08-20       Impact factor: 8.410

3.  Development of an evidence-based algorithm that optimizes sensitivity and specificity in ES-based diagnostics of a clinically heterogeneous patient population.

Authors:  Peter Bauer; Krishna Kumar Kandaswamy; Maximilian E R Weiss; Omid Paknia; Martin Werber; Aida M Bertoli-Avella; Zafer Yüksel; Malgorzata Bochinska; Gabriela E Oprea; Shivendra Kishore; Volkmar Weckesser; Ellen Karges; Arndt Rolfs
Journal:  Genet Med       Date:  2018-08-13       Impact factor: 8.822

  3 in total

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