Including Unaffected Siblings in Genetic Studies
Author Information
Author(s): Plancoulaine Sabine, Alcaïs Alexandre, Chen Yue, Abel Laurent, Gagnon France
Primary Institution: Laboratoire de Génétique Humaine des Maladies Infectieuses, INSERM U.550, Faculté de Médecine Necker, Université de Paris René Descartes
Hypothesis
Does including unaffected siblings increase the power of model-free linkage analysis for behavioral traits?
Conclusion
Including unaffected siblings in model-free linkage analysis significantly improves the ability to identify genetic loci associated with complex traits.
Supporting Evidence
- Using unaffected siblings increased the LOD scores significantly compared to an affected-only strategy.
- Two loci were correctly identified using the strategy that included unaffected siblings.
- The study found no significant advantages of SNPs over microsatellites in the context of the analysis.
Takeaway
This study shows that having siblings who are not affected by a disease can help scientists find the genes that cause that disease more easily.
Methodology
The study used simulated behavioral trait data and maximum-likelihood-binomial methods to analyze linkage in families with affected and unaffected siblings.
Limitations
The study's findings may not apply to all types of complex traits or in cases where parental data is incomplete.
Participant Demographics
The study involved 200 nuclear families with both affected and unaffected siblings.
Digital Object Identifier (DOI)
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