Refining the analysis of a whole genome linkage disequilibrium association map: the United Kingdom results.
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.
Yeo
Tai Wai
TW
University of Cambridge Neurology Unit, Addenbrook's Hospital, Hills Road, Cambridge CB2 2QQ, UK.
Roxburgh
Richard
R
Maranian
Mel
M
Singlehurst
Sara
S
Gray
Julia
J
Hensiek
Anke
A
Setakis
Efrosini
E
Compston
Alastair
A
Sawcer
Stephen
S
D018900:Dinucleotide Repeats; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing / Q000379:methods* / Q000706:statistics & numerical data; D015894:Genome, Human; D005838:Genotype; D006650:Histocompatibility Testing / Q000706:statistics & numerical data; D006801:Humans; D015810:Linkage Disequilibrium; D018895:Microsatellite Repeats; D009103:Multiple Sclerosis / Q000453:epidemiology / Q000235:genetics*; D018911:Trinucleotide Repeats; D006113:United Kingdom / Q000453:epidemiology
D005819:Genetic Markers