Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

One4two®: An integrated molecular approach to optimize infertile couples’ journey

Academic Article
Publication Date:
2021
abstract:
The current diagnostic path of infertile couples is long lasting and often ineffective. Genetic tests, in particular, appear as a limiting step due to their jeopardized use on one side, and to the limited number of genes evaluated on the other. In this context, the development and diffusion, also in routine diagnostic settings, of next generation sequencing (NGS)-based methods for the analyses of several genes in multiple subjects at a time is improving the diagnostic sensitivity of molecular analyses. Thus, we developed One4Two®, a custom NGS panel to optimize the diagnostic journey of infertile couples. The panel validation was carried out in three steps analyzing a total of 83 subjects. Interestingly, all the previously identified variants were confirmed, assessing the analytic sensitivity of the method. Moreover, additional pathogenic variants have been identified underlying the diagnostic efficacy of the proposed method. One4Two® allows the simultaneous analysis of infertility-related genes, disease-genes of common inherited diseases, and of polymorphisms related to therapy outcome. Thus, One4Two® is able to improve the diagnostic journey of infertile couples by simplifying the whole process not only for patients, but also for laboratories and reproduction specialists moving toward an even more personalized medicine. View Full-Text.
Iris type:
1.1 Articolo in rivista
Keywords:
Diagnostic test; Genetic test; Infertility; Next generation sequencing; Computational Biology; Feasibility Studies; Female; Genetic Testing; High-Throughput Nucleotide Sequencing; Humans; Infertility; Male; Mutation; Polymorphism, Single Nucleotide; Precision Medicine; Sensitivity and Specificity
List of contributors:
D'Argenio, V.; Cariati, F.; Tomaiuolo, R.
Authors of the University:
TOMAIUOLO ROSSELLA
Handle:
https://iris.unisr.it/handle/20.500.11768/120577
Published in:
FORESTS
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.2.0