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

Authors
 Seoung Wan Nam  ;  Kwang Seob Lee  ;  Jae Won Yang  ;  Younhee Ko  ;  Michael Eisenhut  ;  Keum Hwa Lee  ;  Jae Il Shin  ;  Andreas Kronbichler 
Citation
 Clinical and Experimental Pediatrics, Vol.64(5) : 208-222, 2021-05 
Journal Title
Clinical and Experimental Pediatrics
Issue Date
2021-05
Keywords
Bayesian false-discovery probability ; False-positive report probability ; Protein-protein interaction ; STRING database ; Systemic lupus erythematosus
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.
Files in This Item:
T202105234.pdf Download
DOI
10.3345/cep.2020.00633
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Shin, Jae Il(신재일) ORCID logo https://orcid.org/0000-0003-2326-1820
Lee, Kwang Seob(이광섭) ORCID logo https://orcid.org/0000-0002-6286-108X
Lee, Keum Hwa(이금화) ORCID logo https://orcid.org/0000-0002-1511-9587
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/187179
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