Published September 20, 2020 | Version 2

Dataset for genes linked to gastroschisis along with bioinformatics analysis

Description

The dataset consists of records from genes linked to gastroschisis. Genes displaying statistical significance with gastroschisis (excluding those genes undergoing adjusted calculations with covariates) were selected and manually curated for further bioinformatics analysis.

Figure 1 illustrates the systematic review of the literature search strategy and selection criteria, publishing crude (unadjusted) genes linked to gastroschisis from January 1, 1990 to August 2, 2020.  

The full list of tables is described in the file READ ME and remains available in CSV files.

Files

Dataset for genes linked to gastroschisis along with bioinformatics analysis V2.zip

Files (1.5 MB)

Additional details

References

  • Carbon S et al. AmiGO: online access to ontology and annotation data. Bioinformatics 2009;25:288–289.
  • Chen J et al. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res 2009;37:W305–W311.
  • Feldkamp ML et al. Shared genomic segments in high-risk multigenerational pedigrees with gastroschisis. Birth Defects Res 2019, doi: 10.1002/bdr2.1567
  • Mi H et al. PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools. Nucleic Acids Res 2019;47: D419–D426.
  • Salinas-Torres VM et al. Genetic variants conferring susceptibility to gastroschisis: a phenomenon restricted to the interaction with the environment? Pediatr Surg Int 2018;34:505–514.
  • Salinas-Torres VM et al. A clinical-pathogenetic approach on associated anomalies and chromosomal defects supports novel candidate critical regions and genes for gastroschisis. Pediatr Surg Int 2018;34:931–943.
  • Salinas-Torres VM et al. Bioinformatic analysis of gene variants from gastroschisis recurrence identifies multiple novel pathogenetic pathways: implication for the closure of the ventral body wall. Int J Mol Sci 2019;20:2295.
  • Salinas-Torres VM et al. Database for gene variants and metabolic networks implicated in familial gastroschisis. Data 2019;4:97.
  • Stelzer G et al. The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinformatics 2016;54:1.30.1–1.30.33.
  • Szklarczyk D et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res 2019;47:D607–D613.