Human Genetics

, 118:87

TDT-association analysis of EKN1 and dyslexia in a Colorado twin cohort

Authors

  • Haiying Meng
    • Department of Pediatrics, Yale Child Health Research CenterYale University School of Medicine
  • Karl Hager
    • WM Keck Foundation Biotechnology Resource LaboratoryYale University School of Medicine
  • Matthew Held
    • Department of Pediatrics, Yale Child Health Research CenterYale University School of Medicine
  • Grier P. Page
    • Department of BiostatisticsUniversity of Alabama at Birmingham
  • Richard K. Olson
    • University of Colorado
  • Bruce F. Pennington
    • University of Denver
  • John C. DeFries
    • University of Colorado
  • Shelley D. Smith
    • Munroe Meyer InstituteUniversity of Nebraska Medical Center
    • Department of Pediatrics, Yale Child Health Research CenterYale University School of Medicine
Original Investigation

DOI: 10.1007/s00439-005-0017-9

Cite this article as:
Meng, H., Hager, K., Held, M. et al. Hum Genet (2005) 118: 87. doi:10.1007/s00439-005-0017-9

Abstract

A candidate gene, EKN1, was recently described in a cohort from Finland for the dyslexia locus on chromosome 15q, DYX1. This report described a (2;15) (q11;21) translocation disrupting EKN1 that cosegregated with dyslexia in a two-generation family. It also characterized a sequence polymorphism in the 5′ untranslated region and a missense mutation that showed significant association in 109 dyslexics compared to 195 controls (p=0.002 and p=0.006, respectively). To confirm these results we interrogated the same polymorphisms in a cohort of 150 nuclear families with dyslexia ascertained through the Colorado Learning Disabilities Research Center. Using QTDT analysis with nine individual quantitative tasks and two composite measures of reading performance, we could not replicate the reported association. We conclude that the polymorphisms identified in the Finland sample are unlikely to be functional DNA changes contributing to dyslexia, and that if variation in EKN1 is causal such changes are more likely to be in regulatory regions that were not sequenced in this study. Alternatively, the published findings of association with markers in EKN1 may reflect linkage disequilibrium with variation in another gene(s) in the region.

Copyright information

© Springer-Verlag 2005