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Optimal strategies for familial searching
Maarten Kruijver1, Ronald Meester1, Klaas Slooten2
1Department of Mathematics, VU University, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands.
Forensic Science International. Genetics
|August 2, 2014
Summary
This study evaluates familial searching strategies for identifying relatives in DNA databases. Effectiveness depends on case profiles and tuning parameters, with recommendations provided for optimal use.
Area of Science:
- Forensic Genetics
- Bioinformatics
- Computational Biology
Background:
- Familial searching aids criminal investigations by identifying potential relatives of DNA donors in forensic databases.
- Existing strategies for generating relative candidate lists vary in effectiveness.
- Optimizing familial search parameters is crucial for accurate identification.
Purpose of the Study:
- To review and compare four distinct familial searching strategies.
- To investigate the theoretical and empirical performance of these strategies using simulations.
- To provide guidance on selecting optimal tuning parameters for familial searches.
Main Methods:
- Comprehensive simulation study on mock DNA databases.
- Analysis of theoretical properties of familial search algorithms.
- Evaluation of empirical performance across various scenarios.
Main Results:
- Familial search effectiveness is highly sensitive to specific case profiles and chosen tuning parameters.
- The study identified key factors influencing the success rate of familial searches.
- Performance variations were observed across different strategies and database compositions.
Conclusions:
- Recommendations are provided for optimal familial search implementation and parameter tuning.
- Strategies for handling heterogeneous databases and composite kinship searches are discussed.
- An R-package is released to support decision-making in familial searching applications.
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