Pathway-based analysis of GWAS datasets: Effective but caution required

Peilin Jia, Lily Wang, Herbert Y. Meltzer, Zhongming Zhao*

*Corresponding author for this work

Research output: Contribution to journalReview article

44 Citations (Scopus)

Abstract

Pathway-based analysis is rapidly emerging as an alternative but powerful approach for searching for disease causal genes from genomic datasets and has been applied to many complex diseases recently, but it is only now beginning to be applied in psychiatry. Here, we discuss critical issues in the pathway-based approach by specifically comparing the first pathway analysis of genome-wide association studies (GWAS) datasets in neuropsychiatric disorders by O'Dushlaine and colleagues (Molecular Psychiatry 2010, doi:10.1038/mp.2010.7) with our analysis. We also computed the power of gene set enrichment analysis, hypergeometric test, and SNP ratio test in order to assist future applications of these methods in pathway-based analysis of GWAS datasets. Overall, we suggest that the pathway-based approach is effective but caution is needed in interpreting the results of such analysis.

Original languageEnglish (US)
Pages (from-to)567-572
Number of pages6
JournalInternational Journal of Neuropsychopharmacology
Volume14
Issue number4
DOIs
StatePublished - May 1 2011

Fingerprint

Genome-Wide Association Study
Psychiatry
Genes
Single Nucleotide Polymorphism
Datasets

Keywords

  • GWAS
  • Gene set enrichment analysis
  • pathway
  • power analysis
  • schizophrenia

ASJC Scopus subject areas

  • Pharmacology
  • Psychiatry and Mental health
  • Pharmacology (medical)

Cite this

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Pathway-based analysis of GWAS datasets : Effective but caution required. / Jia, Peilin; Wang, Lily; Meltzer, Herbert Y.; Zhao, Zhongming.

In: International Journal of Neuropsychopharmacology, Vol. 14, No. 4, 01.05.2011, p. 567-572.

Research output: Contribution to journalReview article

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AU - Zhao, Zhongming

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