Abstract
This chapter focuses on descriptive analysis in genetic epidemiology and some of its links with mainstream epidemiology. It starts with incidence and prevalence, briefly reviewing some of the relevant statistical methods, and then moves on to consider the analysis of correlated responses in mainstream epidemiology. The core of the chapter describes methods used in descriptive analysis in genetic epidemiology. These methods are primarily used to describe and draw inferences about the structure of phenotypic dependencies within families. The appropriate focus of traditional descriptive epidemiology on representative sampling frames and high response rates is paralleled by the equal importance of sampling schemes in descriptive genetic epidemiology and a full section is therefore devoted to non-random ascertainment.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Statistical Genetics |
| Subtitle of host publication | Third Edition |
| Publisher | John Wiley & Sons, Ltd. |
| Pages | 1109-1140 |
| Number of pages | 32 |
| Volume | 2 |
| ISBN (Print) | 9780470058305 |
| DOIs | |
| Publication status | Published - 9 May 2008 |
Keywords
- Classical ascertainment bias
- Dynamic allele specific hybridisation
- Epidemiological genetics
- First-order Markov process
- Generalised linear mixed model and estimating equations
- Li-Mantel estimator
- Poisson likelihoods
- Polygenic additive and dominance effects
- Population-averaged interpretation
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