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Original Article
On a general class of conditional tests for family-based association studies in genetics: the asymptotic distribution, the conditional power, and optimality considerations
Article first published online: 3 SEP 2002
DOI: 10.1002/gepi.209
Copyright © 2002 Wiley-Liss, Inc.
1098-2272/asset/cover.gif?v=1&s=07484ac07e8bc9f07288a868034f014a9e749a16 "Genetic Epidemiology")
Additional Information
How to Cite
Lange, C. and Laird, N. M. (2002), On a general class of conditional tests for family-based association studies in genetics: the asymptotic distribution, the conditional power, and optimality considerations. Genetic Epidemiology, 23: 165–180. doi: 10.1002/gepi.209
Publication History
- Issue published online: 3 SEP 2002
- Article first published online: 3 SEP 2002
- Manuscript Accepted: 10 APR 2002
- Manuscript Received: 5 FEB 2002
Funded by
- NIH. Grant Numbers: MH59532, HL66383
- NHLBI. Grant Number: NOI HR16040
- Abstract
- References
- Cited By
Keywords:
- asymptotic distribution;
- FBATs;
- conditional power;
- optimal offset choices
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 studies that includes most of the established tests and their generalizations. The class of tests is very general; it can be applied to longitudinal and multivariate traits or phenotypes, multiple genetic markers, and many other situations not yet discussed in the literature. For any test in this class, we derive the asymptotic distribution under the null hypothesis, the conditional power under any alternative hypothesis, and the optimal offset for single degree of freedom tests. The proposed methodology is illustrated with a genetic study of asthma. Genet. Epidemiol. 23:165–180, 2002. © 2002 Wiley-Liss, Inc.