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Adjusting for founder relatedness in a linkage analysis using prior information
1Department of Health Sciences and Department of Genetics, University of Leicester, Leicester, UK. nas11@le.ac.uk
Human Heredity
|December 13, 2007
Summary
Background relatedness in genetic studies can skew results. This research uses prior information to refine pedigree analysis, adjusting lod score statistics for more accurate genetic linkage findings.
Area of Science:
- Genetics
- Statistical Genetics
- Bioinformatics
Background:
- Unaccounted background relatedness among founders in genetic linkage studies can significantly impact analysis outcomes.
- Likelihood-based relationship estimation methods rely on identifying the most probable pedigree, which can be computationally challenging with numerous possibilities.
- Prior information, when formally integrated, can constrain the set of potential pedigrees, enabling robust posterior distribution calculations.
Purpose of the Study:
- To develop a method for incorporating prior information on founder relationships to refine genetic linkage analysis.
- To adjust lod score statistics by accounting for potential unknown relationships between founding individuals.
- To manage the complexity of alternative pedigree structures in genetic studies.
Main Methods:
- Generating a set of candidate extended pedigrees by exploiting prior information on founder relationships.
- Weighting pedigree-specific likelihoods using their calculated posterior probabilities.
- Adjusting lod score statistics based on weighted likelihoods to correct for background relatedness.
Main Results:
- Demonstrated a strategy to utilize prior knowledge of founder relationships effectively.
- Showcased the adjustment of lod score statistics, improving accuracy in the presence of unknown relatedness.
- Provided a framework for managing and analyzing a restricted set of plausible pedigrees.
Conclusions:
- Prior information on founder relationships is valuable for refining genetic linkage studies.
- The proposed method offers a practical approach to adjust for background relatedness, enhancing the reliability of genetic analyses.
- This technique addresses the challenge of unknown relationships acting as a nuisance factor in genetic studies.
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