Understanding the genetics of systemic lupus erythematosus using Bayesian statistics and gene network analysis.

Clinical and Experimental Pediatrics
Seoung Wan NamAndreas Kronbichler

Abstract

The publication of genetic epidemiology meta-analyses has increased rapidly, but it has been suggested that many of the statistically significant results are false positive. In addition, most such meta-analyses have been redundant, duplicate, and erroneous, leading to research waste. In addition, since most claimed candidate gene associations were false-positives, correctly interpreting the published results is important. In this review, we emphasize the importance of interpreting the results of genetic epidemiology meta-analyses using Bayesian statistics and gene network analysis, which could be applied in other diseases.

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Citations

Jul 7, 2021·Trends in Molecular Medicine·Hui JinQianjin Lu

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Software Mentioned

GeneMANIA
STRING ( Search Tool for the Retrieval of Interacting Genes
SLE
Cytoscape
Ensembl
Excel
Ensembl ID

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