MQscore

MQscore performs multipoint parametric linkage analysis of quantitative traits using single nucleotide polymorphism (SNP) genotype data to detect major-gene and polygene contributions in large pedigrees, including those from human genetically isolated populations.

Key Features:

• Mixed model implementation: Employs a mixed model that incorporates both major-gene and polygene inheritance patterns for quantitative traits.
• Algorithmic efficiency: Integrates algorithms to prevent computational underflow and to reduce running time for large-scale analyses.
• Large-pedigree processing: Analyzes very large pedigrees without fragmentation, unlike variance-component-based analyses.

Scientific Applications:

• Adult height mapping in a Dutch isolated population: Detected three significant and four suggestive loci associated with adult height in a large Dutch genetically isolated pedigree using SNP genotype data.

Methodology:

The method implements a multipoint parametric linkage analysis framework using SNP genotype data and a mixed model incorporating major-gene and polygene contributions.