iHAP - integrated haplotype analysis pipeline for characterizing the haplotype structure of genes

Background: The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disease association studies. Recent work shows that genotype data from the International HapMap Project have a high degree of transferability to the wider population. This implies that the design of genotyping studies on local populations may be facilitated through inferences drawn from information contained in HapMap populations. Results: To facilitate analysis of HapMap data for characterizing the haplotype structure of genes or any chromosomal regions, we have developed an integrated web-based resource, iHAP. In addition to incorporating genotype and haplotype data from the International HapMap Project and gene information from the UCSC Genome Browser Database, iHAP also provides capabilities for inferring haplotype blocks and selecting tag SNPs that are representative of haplotype patterns. These include block...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Chun Meng Song, Boon Huat Yeo, Erwin Tantoso, Yuchen Yang, Yun Ping Lim, Kuo-Bin Li, Gunaretnam Rajagopal
• Keywords: BMCBI 2006, Genotype Data, Haplotype, International HapMap Project