An in silico model using prognostic genetic factors for ovarian response in controlled ovarian stimulation: A systematic review.

ABSTRACT:

Purpose

To study the use of in silica model to better understand and propose new markers of ovarian response to controlled ovarian stimulation before IVF.

Methods

A systematic review and in silica model using bioinformatics. After the selection of 103 papers from a systematic review process, we performed a GRADE qualification of all included papers for evidence-based quality evaluation. We included 57 genes in the silica model using a functional protein network interaction. Moreover, the construction of protein-protein interaction network was done importing these results to Cytoscape. Therefore, a cluster analysis using MCODE was done, which was exported to a plugin BINGO to determine Gene Ontology. A p value of < 0.05 was considered significant, using a Bonferroni correctio

SUBMITTER: Eisele BS 

PROVIDER: S-EPMC8417203 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature