Exploiting large scale computing to construct high resolution linkage disequilibrium maps of the human genome.
Linkage disequilibrium (LD) maps increase power and precision in association mapping, define optimal marker spacing and identify recombination hot-spots and regions influenced by natural selection. Phase II of HapMap provides approximately 2.8-fold more single nucleotide polymorphisms (SNPs) than phase I for constructing higher resolution maps. LDMAP-cluster, is a parallel program for rapid map construction in a Linux environment used here to construct genome-wide LD maps with >8.2 million SNPs from the phase II data.


BACKGROUND
The LD maps, LDMAP-cluster and documentation are available from: http://www.som.soton.ac.uk/research/geneticsdiv/epidemiology/LDMAP.


BACKGROUND
Supplementary data are available at Bioinformatics online.
Lau
Winston
W
Human Genetics Division, Duthie Building (Mailpoint 808), Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK.
Kuo
Tai-Yue
TY
Tapper
William
W
Cox
Simon
S
Collins
Andrew
A
D000465:Algorithms; D002874:Chromosome Mapping / Q000379:methods*; D016000:Cluster Analysis; D003205:Computing Methodologies; D005819:Genetic Markers / Q000235:genetics*; D005828:Genetics, Population; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D015810:Linkage Disequilibrium / Q000235:genetics*; D012680:Sensitivity and Specificity; D012984:Software
D005819:Genetic Markers