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Response to: Imputation-based analysis of MICA alleles in the susceptibility to ankylosing spondylitis by Zhou et al
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  1. Adrian Cortes1,
  2. Matthew A Brown2
  1. 1 Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
  2. 2 Institute of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland University of Technology (QUT) at Translational Research Institute, Brisbane, Queensland, Australia
  1. Correspondence to Professor Matthew A Brown, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT) at Translational Research Institute, Brisbane, QLD 4102, Australia; matt.brown{at}qut.edu.au

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To the Editor,

As Zhou and Reveille note,1 MICA is a functionally enticing candidate gene for ankylosingspondylitis (AS). It is however challenging to study because of the technical difficulty of direct genotyping studies of the locus, its proximity and strong linkage disequilibrium with HLA-B, and the fact that it is subject to major population stratification effects. We recently performed an association study of common MICA alleles with AS susceptibility and observed no evidence of association in either HLA-B*27 positive or negative stratified analyses.2 In this study, …

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