title: Allelic association studies of genome wide association data can reveal errors in marker position assignments.
abstract: BACKGROUND
  Genome wide association (GWA) studies provide the opportunity to develop new kinds of analysis. Analysing pairs of markers from separate regions might lead to the detection of allelic association which might indicate an interaction between nearby genes.
  
  
  METHODS
  396,591 markers typed in 541 subjects were studied. 7.8*1010 pairs of markers were screened and those showing initial evidence for allelic association were subjected to more thorough investigation along with 10 flanking markers on either side.
  
  
  RESULTS
  No evidence was detected for interaction. However 6 markers appeared to have an incorrect map position according to NCBI Build 35. One of these was corrected in Build 36 and 2 were dropped. The remaining 3 were left with map positions inconsistent with their allelic association relationships.
  
  
  CONCLUSIONS
  Although no interaction effects were detected the method was successful in identifying markers with probably incorrect map positions.
  
  
  CONCLUSIONS
  The study of allelic association can supplement other methods for assigning markers to particular map positions. Analyses of this type may usefully be applied to data from future GWA studies.
authors.affiliation: Academic Centre for Psychiatry, Queen Mary's School of Medicine and Dentistry, London, UK. david.curtis@qmul.ac.uk
authors.forename: David
authors.initials: D
authors.lastname: Curtis
mesh_terms: D000483:Alleles; D002874:Chromosome Mapping; D002877:Chromosomes, Human; D008040:Genetic Linkage; D005819:Genetic Markers / Q000235:genetics*; D015894:Genome, Human; D006801:Humans; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide
chemical_list: D005819:Genetic Markers