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A general approach to power calculation for relationship testing.

Thore Egeland¹, Nadia Pinto², Magnus Dehli Vigeland³

¹IKBM, Norwegian University of Life Sciences, Ås, Norway; Norwegian Institute of Public Health, Oslo, Norway.

Forensic Science International. Genetics

|July 2, 2013

Summary

This summary is machine-generated.

This study introduces a computational method for relationship testing, calculating the power of exclusion for genetic markers to verify familial relationships. The R package paramlink facilitates complex pedigree analyses, enhancing forensic and genetic investigations.

Keywords:

Forensics Power of exclusion R Relationship testing paramlink

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Area of Science:

Genetics
Forensic Science
Computational Biology

Background:

Relationship testing relies on genetic markers to infer familial connections.
Accurate assessment of genetic evidence is crucial for forensic and genealogical applications.
Existing methods for calculating exclusion probabilities can be limited in scope and complexity.

Purpose of the Study:

To develop and implement a computational approach for relationship testing.
To calculate the power of exclusion and likelihood ratios for genetic markers.
To extend these calculations to complex pedigrees with inbreeding and conditioning.

Main Methods:

Utilizing genetic marker data to compute exclusion probabilities.
Implementing algorithms for likelihood ratio distribution when exclusion is impossible.
Developing a user-friendly R package (paramlink) for pedigree analysis.
Handling complex pedigrees with arbitrary inbreeding and conditioning.

Main Results:

The study presents a novel computational method for relationship testing.
The R package paramlink offers a user-friendly implementation for calculating exclusion probabilities.
The method successfully handles complex pedigrees, including autosomal and X-linked markers.
Examples demonstrate applications in immigration cases, extending previous calculations.

Conclusions:

The developed computational approach and paramlink package provide powerful tools for relationship testing.
This work enhances the ability to resolve claimed family relationships using genetic data.
The findings have broad applications in forensics, genealogy, and genetic studies.