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KMID : 1161220210640050208
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Clinical and Experimental Pediatrics
2021 Volume.64 No. 5 p.208 ~ p.222
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Understanding the genetics of systemic lupus erythematosus using Bayesian statistics and gene network analysis
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Nam Seoung-Wan
Lee Kwang-Seob
Yang Jae-Won
Ko Youn-Hee
Eisenhut Michael
Lee Keum-Hwa
Shin Jae-Il
Kronbichler Andreas
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Abstract
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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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KEYWORD
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Systemic lupus erythematosus, False-positive report probability, Bayesian false-discovery probability, STRING database, Protein-protein interaction
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