LDetect

LDetect identifies approximately independent blocks of linkage disequilibrium (LD) in the human genome to segment genomic regions for automated analysis in genome-wide association studies (GWAS).

Key Features:

• Identification of LD blocks: Systematically identifies genomic regions where alleles are non-randomly associated, defined as linkage disequilibrium blocks in the human genome.
• Genome segmentation for GWAS: Segments the genome into independent LD blocks to support automated analysis across multiple GWAS datasets.
• Approximate independence: Produces LD blocks that are approximately independent to aid statistical interpretation in association studies.
• Allele frequency analysis: Detects LD structure by analyzing allele frequency data across the genome.

Scientific Applications:

• Genome-wide association studies (GWAS): Delineates LD blocks to improve localization and interpretation of genetic associations with traits and diseases.
• Genetic mapping and marker discovery: Supports mapping of genetic variation and identification of candidate markers linked to phenotypic variation.

Methodology:

LDetect employs a computational approach that detects LD blocks by analyzing allele frequency data across the genome and defines blocks that are approximately independent.