Cep-2020-00633.Pdf
Clin Exp Pediatr Vol. 64, No. 5, 208–222, 2021 Review article CEP https://doi.org/10.3345/cep.2020.00633 Understanding the genetics of systemic lupus erythematosus using Bayesian statistics and gene network analysis Seoung Wan Nam, MD, PhD1,*, Kwang Seob Lee, MD2,*, Jae Won Yang, MD, PhD3,*, Younhee Ko, PhD4, Michael Eisenhut, MD, FRCP, FRCPCH, DTM&H5, Keum Hwa Lee, MD, MS6,7,8, Jae Il Shin, MD, PhD6,7,8, Andreas Kronbichler, MD, PhD9 1Department of Rheumatology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea; 2Severance Hospital, Yonsei University College of Medicine, Seoul, Korea; 3Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Korea; 4Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin, Korea; 5Department of Pediatrics, Luton & Dunstable University Hospital NHS Foundation Trust, Luton, UK; 6Department of Pediatrics, Yonsei University College of Medicine, Seoul, Korea; 7Division of Pediatric Nephrology, Severance Children’s Hospital, Seoul, Korea; 8Institute of Kidney Disease Research, Yonsei University College of Medicine, Seoul, Korea; 9Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria 1,3) The publication of genetic epidemiology meta-analyses has analyses have redundant duplicate topics and many errors. increased rapidly, but it has been suggested that many of the Although there has been an impressive increase in meta-analyses statistically significant results are false positive. In addition, from China, particularly those on genetic associa tions, most most such meta-analyses have been redundant, duplicate, and claimed candidate gene associations are likely false-positives, erroneous, leading to research waste. In addition, since most suggesting an urgent global need to incorporate genome-wide claimed candidate gene associations were false-positives, cor- data and state-of-the art statistical inferences to avoid a flood of rectly interpreting the published results is important.
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