Field Synopsis and Re-analysis of Systematic Meta-analyses of Genetic Association Studies in Multiple Sclerosis: a Bayesian Approach |
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Authors: | Jae Hyon Park Joo Hi Kim Kye Eun Jo Se Whan Na Michael Eisenhut Andreas Kronbichler Keum Hwa Lee Jae Il Shin |
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Institution: | 1.Severance Hospital,Yonsei University College of Medicine,Seoul,Republic of Korea;2.Yonsei University Wonju College of Medicine,Seoul,Republic of Korea;3.College of Medicine,University of Debrecen,Debrecen,Hungary;4.Department of Pediatrics,Luton & Dunstable University Hospital NHS Foundation Trust,Luton,UK;5.Department of Internal Medicine IV,Medical University Innsbruck,Innsbruck,Austria;6.Department of Pediatrics,Yonsei University College of Medicine,Seoul,Republic of Korea |
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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. |
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