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Estimating trace-suspect match probabilities for singleton Y-STR haplotypes using coalescent theory.

Mikkel Meyer Andersen¹, Amke Caliebe, Arne Jochens

¹Department of Mathematical Sciences, Aalborg University, Aalborg East, Denmark. mikl@math.aau.dk

Forensic Science International. Genetics

|December 29, 2012

Summary

The coalescent-based approach offers improved accuracy for estimating singleton Y-STR match probabilities compared to traditional methods. However, its computational intensity currently limits practical forensic applications to smaller databases.

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Area of Science:

Forensic genetics
Population genetics
Computational biology

Background:

Accurate estimation of match probabilities for singleton haplotypes is crucial in forensic genetics.
Singleton haplotypes, observed only once in a reference database, pose a challenge for traditional estimation methods.

Purpose of the Study:

To compare the performance of four estimators for singleton Y-STR match probabilities.
To evaluate count-based (with and without kappa correction), surveying, and coalescent-based estimators.

Main Methods:

Extensive simulations using BATWING software to model population history and haplotype evolution.
Comparison of estimators based on bias, mean squared error, and correlation between estimated and true match probabilities.

Main Results:

The coalescent-based approach demonstrated lower bias and mean squared error than count and surveying estimators.
Both surveying and coalescent-based methods showed good correlation between estimated and true match probabilities.
The coalescent-based estimator, while superior, is computationally intensive, limiting its current practical use.

Conclusions:

The coalescent-based method is the most accurate for estimating singleton Y-STR match probabilities.
Computational demands restrict the widespread application of the coalescent-based approach in forensic practice.
Future advancements in coalescent simulation algorithms may enable broader adoption in forensic genetics.