MMDIT

MMDIT performs deconvolution and statistical analysis of mitochondrial DNA (mtDNA) mixtures to resolve constituent donor haplotypes and estimate random match probabilities for forensic and mitochondrial genomic applications.

Key Features:

• Mixture Deconvolution: Deconvolves mitochondrial DNA (mtDNA) mixtures into complete constituent donor haplotypes using a statistical phasing framework.
• Mixture Analysis: Performs direct mixture analysis within a binary presence/absence framework when deconvolution is not feasible.
• Statistical Evaluation: Evaluates statistical weights using a graph algorithm to support inference accuracy.
• Random Match Probability Estimation: Estimates random match probabilities for resultant haplotypes to assess coincidental match likelihoods in forensic contexts.

Scientific Applications:

• Forensic mixture interpretation: Supports analysis of complex DNA mixtures, particularly when nuclear DNA is compromised, by resolving mtDNA mixture components.
• Haplotype-based identification: Provides complete donor haplotypes from mtDNA mixtures to aid individual identification and comparison.
• Genomic analyses of whole and partial mtDNA: Applicable to analyses of whole and partial mitochondrial genomes across research scenarios.

Methodology:

Computational methods include a statistical phasing framework for haplotype resolution, a binary presence/absence framework for direct mixture analysis, a graph algorithm to evaluate statistical weights, and estimation of random match probabilities.