Meta-analysis of microarray data using a pathway-based approach identifies a 37-gene expression signature for systemic lupus erythematosus in human peripheral blood mononuclear cells
2011

Identifying a 37-Gene Signature for Lupus

Sample size: 59 publication 10 minutes Evidence: high

Author Information

Author(s): Arasappan Dhivya, Tong Weida, Mummaneni Padmaja, Fang Hong, Amur Shashi

Primary Institution: US Food and Drug Administration

Hypothesis

Can a pathway-based meta-analysis identify gene expression signatures for systemic lupus erythematosus (SLE) in human peripheral blood mononuclear cells?

Conclusion

The study successfully identified a 37-gene metasignature that distinguishes SLE patients from healthy controls.

Supporting Evidence

  • The pathway-based meta-analysis approach allowed for validated conclusions across multiple data sets.
  • Three biological pathways were consistently enriched in SLE patients: interferon signaling, interleukin-10 signaling, and glucocorticoid receptor signaling.
  • The 37-gene metasignature was confirmed using an independent data set.

Takeaway

Researchers found a special group of 37 genes that can help tell if someone has lupus by looking at their blood.

Methodology

A pathway-based meta-analysis was applied to four independent gene expression microarray data sets to identify gene expression signatures for SLE.

Potential Biases

Potential bias due to the inclusion of both published and unpublished data sets.

Limitations

The study relied on data sets that varied in sample size and demographic characteristics.

Participant Demographics

The studies included both pediatric and adult patients with SLE.

Statistical Information

P-Value

0.01

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.1186/1741-7015-9-65

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