Evaluation of the power and type I error of recently proposed family-based tests of association for rare variants
✍ Scribed by Allison Hainline,Carolina Alvarez,Alexander Luedtke,Brian Greco…
- Book ID
- 126380043
- Publisher
- BioMed Central
- Year
- 2014
- Tongue
- English
- Weight
- 159 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1753-6561
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We recently proposed a bias correction approach to evaluate accurate estimation of the odds ratio (OR) of genetic variants associated with a secondary phenotype, in which the secondary phenotype is associated with the primary disease, based on the original case-control data collected for the purpose
Current common wisdom posits that association analyses using family-based designs have inflated type 1 error rates (if relationships are ignored) and independent controls are more powerful than familial controls. We explore these suppositions. We show theoretically that family-based designs can have
## Abstract Family‐based association tests (FBATs) provide simple and powerful tests to detect association between a genetic marker and a disease‐susceptibility locus, manifest in subjects by a phenotype or disease trait. Here we propose a new class of conditional tests for family‐based association