LDMgen

LDMgen applies a likelihood-based analysis to multilocus genotype data from case-control studies to localize disease genes by exploiting linkage disequilibrium (LD).

Key Features:

• Likelihood-based inference: LDMgen uses likelihood estimation to analyze multilocus genotype data and accommodate unresolved haplotypes in LD mapping.
• Case-control integration: The method explicitly incorporates case-control status to compare multilocus genotype distributions between cases and controls.
• Simulation validation: Performance and fine-mapping precision were evaluated using simulation studies.

Scientific Applications:

• Genetic epidemiology: Fine-mapping disease loci in case-control datasets to identify candidate regions associated with disease.
• Candidate prioritization: Narrow candidate genomic regions for subsequent functional studies and potential therapeutic investigation.

Methodology:

Likelihood-based analysis of multilocus genotype data that models linkage disequilibrium when haplotypes are not directly observed and incorporates case-control status, with performance assessed by simulation studies.