Robust Trend Tests for Genetic Association in Case-Control Studies
Author Information
Author(s): Tian Xin, Joo Jungnam, Zheng Gang, Lin Jing-Ping
Primary Institution: National Heart, Lung and Blood Institute
Hypothesis
Can robust trend tests improve the detection of genetic associations in case-control studies using family data?
Conclusion
The robust trend tests MERT and MAX showed significant associations between SNP markers and alcoholism, even when accounting for family correlations.
Supporting Evidence
- The study developed two robust trend tests that account for correlations among family members.
- The tests were applied to a dataset from the Collaborative Study on the Genetics of Alcoholism.
- Significant associations were found under both recessive and additive models.
Takeaway
This study created new tests to find links between genes and diseases, especially when families are involved, making it easier to understand genetic risks.
Methodology
The study applied two robust trend tests, MERT and MAX, to case-control data from families, comparing their performance through simulations.
Potential Biases
Potential bias due to model misspecification in genetic association tests.
Limitations
The tests may still have limitations in power when the genetic model is misspecified.
Participant Demographics
The study involved 1,614 individuals from 143 families with alcoholism diagnosis.
Statistical Information
P-Value
0.004
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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