0 226

Cited 1 times in

Field Synopsis and Re-analysis of Systematic Meta-analyses of Genetic Association Studies in Multiple Sclerosis: a Bayesian Approach

Authors
 Jae Hyon Park  ;  Joo Hi Kim  ;  Kye Eun Jo  ;  Se Whan Na  ;  Michael Eisenhut  ;  Andreas Kronbichler  ;  Keum Hwa Lee  ;  Jae Il Shin 
Citation
 MOLECULAR NEUROBIOLOGY, Vol.55(7) : 5672-5688, 2018 
Journal Title
 MOLECULAR NEUROBIOLOGY 
ISSN
 0893-7648 
Issue Date
2018
Keywords
BFDP ; FPRP ; Gene variant ; Meta-analysis ; Multiple sclerosis
Abstract
To provide an up-to-date summary of multiple sclerosis-susceptible gene variants and assess the noteworthiness in hopes of finding true associations, we investigated the results of 44 meta-analyses on gene variants and multiple sclerosis published through December 2016. Out of 70 statistically significant genotype associations, roughly a fifth (21%) of the comparisons showed noteworthy false-positive rate probability (FPRP) at a statistical power to detect an OR of 1.5 and at a prior probability of 10-6 assumed for a random single nucleotide polymorphism. These associations (IRF8/rs17445836, STAT3/rs744166, HLA/rs4959093, HLA/rs2647046, HLA/rs7382297, HLA/rs17421624, HLA/rs2517646, HLA/rs9261491, HLA/rs2857439, HLA/rs16896944, HLA/rs3132671, HLA/rs2857435, HLA/rs9261471, HLA/rs2523393, HLA-DRB1/rs3135388, RGS1/rs2760524, PTGER4/rs9292777) also showed a noteworthy Bayesian false discovery probability (BFDP) and one additional association (CD24 rs8734/rs52812045) was also noteworthy via BFDP computation. Herein, we have identified several noteworthy biomarkers of multiple sclerosis susceptibility. We hope these data are used to study multiple sclerosis genetics and inform future screening programs.
Full Text
https://link.springer.com/article/10.1007%2Fs12035-017-0773-2
DOI
10.1007/s12035-017-0773-2
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, Keum Hwa(이금화) ORCID logo https://orcid.org/0000-0002-1511-9587
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/163265
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links