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Article

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

Molecular neurobiology - 1 Jul 2018

Park Jae Hyon, Kim Joo Hi, Jo Kye Eun, Na Se Whan, Eisenhut Michael, Kronbichler Andreas, Lee Keum Hwa, Shin Jae Il

Abstract excerpt

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...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29027112
DOI: 10.1007/s12035-017-0773-2

Genes

PTGER4
RGS1
STAT3

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

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