Comparing Strategies for Association Mapping in Related Individuals
Author Information
Author(s): Catherine Bourgain, Joan E Bailey-Wilson, Laura Almasy, Mariza de Andrade, Julia Bailey, Heike Bickeböller, Heather J Cordell, E Warwick Daw, Lynn Goldin, Ellen L Goode, Courtney Gray-McGuire, Wayne Hening, Gail Jarvik, Brion S Maher, Nancy Mendell, Andrew D Paterson, John Rice, Glen Satten, Brian Suarez, Veronica Vieland, Marsha Wilcox, Heping Zhang, Andreas Ziegler, Jean W MacCluer
Primary Institution: INSERM U535, Hopital Paul Brousse
Hypothesis
Different strategies for testing association in samples with related individuals will yield varying levels of power to detect genetic loci associated with Kofendrerd Personality Disorder.
Conclusion
The case-control test corrected for related individuals is the most powerful strategy for detecting loci associated with the disease studied.
Supporting Evidence
- The study identified three loci associated with Kofendrerd Personality Disorder.
- Unconditional tests for case-control association were found to be more powerful than conditional approaches.
- Using unrelated controls significantly increased the power of the tests.
Takeaway
This study looked at different ways to find genetic links in families with similar traits, and found that one method worked best for spotting the genes related to a specific disorder.
Methodology
The study compared various statistical tests for association using simulated datasets from families with affected individuals.
Potential Biases
The tests may not be valid in the presence of population stratification.
Limitations
The analysis was based on a limited number of replicates (100), which may affect the robustness of the findings.
Participant Demographics
The study involved affected individuals from various populations, including AI, KA, DA, and NY.
Statistical Information
P-Value
≤0.01
Statistical Significance
p≤10-8
Digital Object Identifier (DOI)
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