MALDsoft
MALDsoft performs admixture mapping to identify susceptibility loci where ancestry-associated allele frequency differences contribute to complex traits in recently admixed populations.
Key Features:
- Admixture Mapping Approach: Uses samples from recently admixed populations to detect ancestry-associated variations in allele frequencies at loci that may contribute to complex traits.
- Statistical Methods for Ancestry Association: Analyzes multipoint data without assuming a predefined disease model by assessing deviations of local ancestry proportions from the genome-wide average.
- Power and Efficiency: Integrates power calculations indicating detection power comparable to traditional association mapping while requiring fewer markers.
- Marker Flexibility: Supports ancestry informative markers (AIMs) and random single-nucleotide polymorphisms (SNPs) for admixture-based analyses.
Scientific Applications:
- Gene Discovery: Identifies loci with differential risk allele frequencies between ancestral populations to aid discovery of genes linked to complex traits.
- Population Genetics Research: Enables study of admixed populations to characterize genetic diversity and aspects of evolutionary history via local ancestry analysis.
Methodology:
Implements a statistical framework that evaluates local ancestry proportions at specific loci using multipoint data, assesses deviations from genome-wide ancestry averages without relying on explicit disease models, and supports analysis with ancestry informative markers (AIMs) or random single-nucleotide polymorphisms (SNPs).
Topics
Collections
Details
- License:
- Not licensed
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/20/2017
- Last Updated:
- 1/19/2020
Operations
Data Inputs & Outputs
Genetic variation analysis
Publications
Montana G, Pritchard JK. Statistical Tests for Admixture Mapping with Case-Control and Cases-Only Data. The American Journal of Human Genetics. 2004;75(5):771-789. doi:10.1086/425281. PMID:15386213. PMCID:PMC1182107.