Clinical and Experimental Pediatrics

The Korean Pediatric Society (대한소아청소년과학회)
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Understanding the genetics of systemic lupus erythematosus using Bayesian statistics and gene network analysis

  • Nam, Seoung Wan (Department of Rheumatology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine) ;
  • Lee, Kwang Seob (Severance Hospital, Yonsei University College of Medicine) ;
  • Yang, Jae Won (Department of Nephrology, Yonsei University Wonju College of Medicine) ;
  • Ko, Younhee (Division of Biomedical Engineering, Hankuk University of Foreign Studies) ;
  • Eisenhut, Michael (Department of Pediatrics, Luton & Dunstable University Hospital NHS Foundation Trust) ;
  • Lee, Keum Hwa (Department of Pediatrics, Yonsei University College of Medicine) ;
  • Shin, Jae Il (Department of Pediatrics, Yonsei University College of Medicine) ;
  • Kronbichler, Andreas (Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck)
  • Received : 2020.04.11
  • Accepted : 2020.06.23
  • Published : 2021.05.15
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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.

Keywords

Acknowledgement

This study was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1D1A1B03032457) and Hankuk University of Foreign Studies Research Fund.

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