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

Seoung Wan Nam, Kwang Seob Lee, Jae Won Yang, Younhee Ko, Michael Eisenhut, Keum Hwa Lee, Jae Il Shin, Andreas Kronbichler

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Pages (from-to)208-222
Number of pages15
JournalClinical and Experimental Pediatrics
Volume64
Issue number5
DOIs
Publication statusPublished - 2021

Bibliographical note

Funding Information:
Acknowledgments 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.

Publisher Copyright:
© 2021 by The Korean Pediatric Society.

All Science Journal Classification (ASJC) codes

  • Pediatrics, Perinatology, and Child Health
  • Pediatrics

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