LSR

LSR estimates region-specific significance from p-value sequences to identify candidate disease-associated regions in dense-marker genetic association studies.

Key Features:

• Region-Specific P-Value Estimation: Estimates a region-specific p-value as an index to pinpoint candidate disease-associated regions.
• Utilization of P-Values Only: Operates using only p-values rather than raw genotypic data, enabling application across different study designs.
• Improved Statistical Power: Achieves higher statistical power compared with Bonferroni and False Discovery Rate (FDR) methods while controlling false positive rates.

Scientific Applications:

• Exploratory Analysis of Dense Markers: Serves for exploratory analysis of sequences with dense genetic markers to locate regions of interest.
• Disease Association Studies: Applied to association studies such as psoriasis and asthma to identify significant candidate regions and to replicate previous association findings.

Methodology:

Computes the distribution and the first moment of the length of the longest k-interrupted run (Lk) in a binary sequence.