Evaluating haplotype effects in case-control studies via penalized-likelihood approaches: prospective or retrospective analysis?
Journal Article (Journal Article)
Penalized likelihood methods have become increasingly popular in recent years for evaluating haplotype-phenotype association in case-control studies. Although a retrospective likelihood is dictated by the sampling scheme, these penalized methods are typically built on prospective likelihoods due to their modeling simplicity and computational feasibility. It has been well documented that for unpenalized methods, prospective analyses of case-control data can be valid but less efficient than their retrospective counterparts when testing for association, and result in substantial bias when estimating the haplotype effects. For penalized methods, which combine effect estimation and testing in one step, the impact of using a prospective likelihood is not clear. In this work, we examine the consequences of ignoring the sampling scheme for haplotype-based penalized likelihood methods. Our results suggest that the impact of prospective analyses depends on (1) the underlying genetic mode and (2) the genetic model adopted in the analysis. When the correct genetic model is used, the difference between the two analyses is negligible for additive and slight for dominant haplotype effects. For recessive haplotype effects, the more appropriate retrospective likelihood clearly outperforms the prospective likelihood. If an additive model is incorrectly used, as the true underlying genetic mode is unknown a priori, both retrospective and prospective penalized methods suffer from a sizeable power loss and increase in bias. The impact of using the incorrect genetic model is much bigger on retrospective analyses than prospective analyses, and results in comparable performances for both methods. An application of these methods to the Genetic Analysis Workshop 15 rheumatoid arthritis data is provided.
Full Text
Duke Authors
Cited Authors
- Koehler, ML; Bondell, HD; Tzeng, J-Y
Published Date
- December 2010
Published In
Volume / Issue
- 34 / 8
Start / End Page
- 892 - 911
PubMed ID
- 21104891
Pubmed Central ID
- PMC3208948
Electronic International Standard Serial Number (EISSN)
- 1098-2272
Digital Object Identifier (DOI)
- 10.1002/gepi.20545
Language
- eng
Conference Location
- United States