HPM
HPM maps genes and identifies disease-associated haplotypes from case-control haplotype data to locate genetic loci underlying complex diseases such as asthma.
Key Features:
- Hierarchical Genotyping Design: Employs a hierarchical genotyping approach to narrow large genomic regions to smaller segments, exemplified by identification of a 133-kilobase segment on chromosome 7p associated with asthma susceptibility.
- Haplotype Analysis: Analyzes case-control haplotype data to detect SNP-tagged haplotypes linked to phenotypic traits, including haplotypes correlated with high serum immunoglobulin E levels and asthma incidence.
- Gene Identification: Analyzes genetic variation to pinpoint candidate genes, exemplified by the identification of GPRA (G protein-coupled receptor for asthma susceptibility) as implicated in asthma.
Scientific Applications:
- Disease Susceptibility Research: Maps genes and haplotypes contributing to complex disease susceptibility, applied to conditions such as asthma.
- Pathogenesis Insights: Provides molecular insights into disease mechanisms, for example implicating GPRA and its distinct protein isoform distribution in atopy and asthma pathogenesis.
- Multi-cohort Genetic Validation: Supports validation of genetic associations across diverse cohorts, including studies of populations from Finland and Canada.
- Translational Research: Facilitates linkage of human genetic findings to experimental systems by identifying genes up-regulated in animal models relevant to disease.
Methodology:
Uses a hierarchical genotyping approach and haplotype analysis to detect SNP-tagged haplotypes and analyze genetic variation for gene mapping.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C
- Added:
- 12/18/2017
- Last Updated:
- 1/17/2019
Operations
Publications
Laitinen T, Polvi A, Rydman P, Vendelin J, Pulkkinen V, Salmikangas P, Mäkelä S, Rehn M, Pirskanen A, Rautanen A, et al. (5668):300-304. doi:10.1126/science.1090010. PMID:15073379.
PMID: 15073379