Document Type

Article

Publication Date

9-15-2014

NLM Title Abbreviation

PLoS One

Journal/Book/Conference Title

PloS One

PubMed ID

25221983

DOI of Published Version

10.1371/journal.pone.0106918

Total Pages

9

Abstract

Complex disorders are typically characterized by multiple phenotypes. Analyzing these phenotypes jointly is expected to be more powerful than dealing with one of them at a time. A recent approach (O'Reilly et al. 2012) is to regress the genotype at a SNP marker on multiple phenotypes and apply the proportional odds model. In the current research, we introduce an explicit expression for the score test statistic and its non-centrality parameter that determines its power. Same simulation studies as those reported in Galesloot et al. (2014) were conducted to assess its performance. We demonstrate by theoretical arguments and simulation studies that, despite its potential usefulness for multiple phenotypes, the proportional odds model method can be less powerful than regular methods for univariate traits. We also introduce an implementation of the proposed score statistic in an R package named iGasso.

Keywords

OAfund

Journal Article Version

Version of Record

Published Article/Book Citation

PLoS One (2014) 9:9. DOI: 10.1371/journal.pone.0106918

Rights

Copyright © 2014 Kai Wang. Posted by permission.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Included in

Genetics Commons

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URL

https://ir.uiowa.edu/biostat_pubs/1