PSEA

Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes.

Janina S. Ried, Angela Döring, Konrad Oexle, Christa Meisinger, Juliane Winkelmann, Norman Klopp, Thomas Meitinger, Annette Peters, Karsten Suhre, H. Erich Wichmann, Christian Gieger

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Most genome-wide association studies (GWAS) are restricted to one phenotype, even if multiple related or unrelated phenotypes are available. However, an integrated analysis of multiple phenotypes can provide insight into their shared genetic basis and may improve the power of association studies. We present a new method, called "phenotype set enrichment analysis" (PSEA), which uses ideas of gene set enrichment analysis for the investigation of phenotype sets. PSEA combines statistics of univariate phenotype analyses and tests by permutation. It does not only allow analyzing predefined phenotype sets, but also to identify new phenotype sets. Apart from the application to situations where phenotypes and genotypes are available for each person, the method was adjusted to the analysis of GWAS summary statistics. PSEA was applied to data from the population-based cohort KORA F4 (N = 1,814) using iron-related and blood count traits. By confirming associations previously found in large meta-analyses on these traits, PSEA was shown to be a reliable tool. Many of these associations were not detectable by GWAS on single phenotypes in KORA F4. Therefore, the results suggest that PSEA can be more powerful than a single phenotype GWAS for the identification of association with multiple phenotypes. PSEA is a valuable method for analysis of multiple phenotypes, which can help to understand phenotype networks. Its flexible design enables both the use of prior knowledge and the generation of new knowledge on connection of multiple phenotypes. A software program for PSEA based on GWAS results is available upon request.

Original languageEnglish
Pages (from-to)244-252
Number of pages9
JournalGenetic Epidemiology
Volume36
Issue number3
DOIs
Publication statusPublished - Apr 2012

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Phenotype
Genome-Wide Association Study
Meta-Analysis
Software
Iron
Genotype

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Cite this

Ried, J. S., Döring, A., Oexle, K., Meisinger, C., Winkelmann, J., Klopp, N., ... Gieger, C. (2012). PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes. Genetic Epidemiology, 36(3), 244-252. https://doi.org/10.1002/gepi.21617

PSEA : Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes. / Ried, Janina S.; Döring, Angela; Oexle, Konrad; Meisinger, Christa; Winkelmann, Juliane; Klopp, Norman; Meitinger, Thomas; Peters, Annette; Suhre, Karsten; Wichmann, H. Erich; Gieger, Christian.

In: Genetic Epidemiology, Vol. 36, No. 3, 04.2012, p. 244-252.

Research output: Contribution to journalArticle

Ried, JS, Döring, A, Oexle, K, Meisinger, C, Winkelmann, J, Klopp, N, Meitinger, T, Peters, A, Suhre, K, Wichmann, HE & Gieger, C 2012, 'PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes.', Genetic Epidemiology, vol. 36, no. 3, pp. 244-252. https://doi.org/10.1002/gepi.21617
Ried JS, Döring A, Oexle K, Meisinger C, Winkelmann J, Klopp N et al. PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes. Genetic Epidemiology. 2012 Apr;36(3):244-252. https://doi.org/10.1002/gepi.21617
Ried, Janina S. ; Döring, Angela ; Oexle, Konrad ; Meisinger, Christa ; Winkelmann, Juliane ; Klopp, Norman ; Meitinger, Thomas ; Peters, Annette ; Suhre, Karsten ; Wichmann, H. Erich ; Gieger, Christian. / PSEA : Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes. In: Genetic Epidemiology. 2012 ; Vol. 36, No. 3. pp. 244-252.
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