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Rescooped by Shelly Blom from Plant Breeding and Genomics News
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BMC Bioinformatics | Abstract | Analysis of multiple phenotypes in genome-wide genetic mapping studies

Background

Complex traits may be defined by a range of different criteria. It would result in a loss of information to perform analyses simply on the basis of a final clinical dichotomized affected / unaffected variable.

Results

We assess the performance of four alternative approaches for the analysis of multiple phenotypes in genetic association studies. We describe the four methods in detail and discuss their relative theoretical merits and disadvantages. Using simulation we demonstrate that PCA provides the greatest power when applied to both correlated phenotypes and with large numbers of phenotypes. The multivariate approach had low type I error only with independent phenotypes or small numbers of phenotypes. In this study, our application of the four methods to schizophrenia data provides converging evidence of the relative performance of the methods.

Conclusions

Via power analysis of simulated data and testing of experimental data, we conclude that PCA, creating one variable based on a linear combination of all the traits, performs optimally. We propose that our comparison will provide insight into the properties of the methods and help researchers to choose appropriate strategy in future experimental studies.


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Scooped by Shelly Blom
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Annual waterfowl hunter survey available to hunters

Annual waterfowl hunter survey available to hunters | Golden Retrievers | Scoop.it
Waterfowl hunters now have the opportunity to comment on several aspects of the 2012-13 duck season via the Louisiana Department of Wildlife and Fisheries Waterfowl Hunter Opinion Survey, which will be available until July 1.
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