Refining the analysis of a whole genome linkage disequilibrium association map: the United Kingdom results

J Neuroimmunol. 2003 Oct;143(1-2):53-9. doi: 10.1016/j.jneuroim.2003.08.011.

Abstract

Individual genotyping of the 10 most promising markers identified in our previously reported screen for linkage disequilibrium (LD) in multiple sclerosis identified a number of effects which confound the analysis and are of general importance in the interpretation of results obtained using microsatellite markers typed in pooled DNA. In order to identify and characterise these effects, we individually genotyped 529 promising markers in 16 trio families. We then devised adapting factors, which were designed to correct for these confounders. This more extensive analysis of the previously published UK data set and the repeat analyses incorporating these adaptations led to the identification of two novel markers that may be associated with multiple sclerosis in this population, providing a close correlation between the results of pooled analysis and individual typing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Dinucleotide Repeats
  • Genetic Markers
  • Genetic Predisposition to Disease
  • Genetic Testing / methods*
  • Genetic Testing / statistics & numerical data
  • Genome, Human*
  • Genotype
  • Histocompatibility Testing / statistics & numerical data
  • Humans
  • Linkage Disequilibrium*
  • Microsatellite Repeats
  • Multiple Sclerosis / epidemiology
  • Multiple Sclerosis / genetics*
  • Trinucleotide Repeats
  • United Kingdom / epidemiology

Substances

  • Genetic Markers