Meta-analysis of 12 genomic studies in bipolar disorder

Michael Elashoff, Brandon W. Higgs, Robert H Yolken, Michael B. Knable, Serge Weis, Maree J. Webster, Beata M. Barci, E. Fuller Torrey

Research output: Contribution to journalArticle

Abstract

Multiple genome-wide expression studies of bipolar disorder have been published. However, a unified picture of the genomic basis for the disease has not yet emerged. Genes identified in one study often fail to be identified in other studies, prompting the question of whether microarray studies in the brain are inherently unreliable. To answer this question, we performed a meta-analysis of 12 microarray studies of bipolar disorder. These studies included >500 individual array samples, on a range of microarray platforms and brain regions. Although we confirmed that individual studies showed some differences in results, clear and striking regulation patterns emerged across the studies. These patterns were found at the individual gene level, at the functional level, and at the broader pathway level. The patterns were generally found to be reproducible across platform and region, and were highly statistically significant. We show that the seeming discordance between the studies was primarily a result of the following factors, which are also typical for other brain array studies: (1) Sample sizes were, in retrospect, too small; (2) criteria were at once too restrictive (generally focusing on fold changes >1.5) and too broad (generally using p

Original languageEnglish (US)
Pages (from-to)221-243
Number of pages23
JournalJournal of Molecular Neuroscience
Volume31
Issue number3
StatePublished - Mar 2007

Fingerprint

Microarrays
Bipolar Disorder
Meta-Analysis
Brain
Genes
Sample Size
Genome

Keywords

  • Bipolar disorder
  • Confounders
  • Energy production
  • Gene expression
  • Meta-analysis
  • Metallothionein

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry
  • Genetics

Cite this

Elashoff, M., Higgs, B. W., Yolken, R. H., Knable, M. B., Weis, S., Webster, M. J., ... Torrey, E. F. (2007). Meta-analysis of 12 genomic studies in bipolar disorder. Journal of Molecular Neuroscience, 31(3), 221-243.

Meta-analysis of 12 genomic studies in bipolar disorder. / Elashoff, Michael; Higgs, Brandon W.; Yolken, Robert H; Knable, Michael B.; Weis, Serge; Webster, Maree J.; Barci, Beata M.; Torrey, E. Fuller.

In: Journal of Molecular Neuroscience, Vol. 31, No. 3, 03.2007, p. 221-243.

Research output: Contribution to journalArticle

Elashoff, M, Higgs, BW, Yolken, RH, Knable, MB, Weis, S, Webster, MJ, Barci, BM & Torrey, EF 2007, 'Meta-analysis of 12 genomic studies in bipolar disorder', Journal of Molecular Neuroscience, vol. 31, no. 3, pp. 221-243.
Elashoff M, Higgs BW, Yolken RH, Knable MB, Weis S, Webster MJ et al. Meta-analysis of 12 genomic studies in bipolar disorder. Journal of Molecular Neuroscience. 2007 Mar;31(3):221-243.
Elashoff, Michael ; Higgs, Brandon W. ; Yolken, Robert H ; Knable, Michael B. ; Weis, Serge ; Webster, Maree J. ; Barci, Beata M. ; Torrey, E. Fuller. / Meta-analysis of 12 genomic studies in bipolar disorder. In: Journal of Molecular Neuroscience. 2007 ; Vol. 31, No. 3. pp. 221-243.
@article{200a2ef5d5634889a3ad705fcf0b21ff,
title = "Meta-analysis of 12 genomic studies in bipolar disorder",
abstract = "Multiple genome-wide expression studies of bipolar disorder have been published. However, a unified picture of the genomic basis for the disease has not yet emerged. Genes identified in one study often fail to be identified in other studies, prompting the question of whether microarray studies in the brain are inherently unreliable. To answer this question, we performed a meta-analysis of 12 microarray studies of bipolar disorder. These studies included >500 individual array samples, on a range of microarray platforms and brain regions. Although we confirmed that individual studies showed some differences in results, clear and striking regulation patterns emerged across the studies. These patterns were found at the individual gene level, at the functional level, and at the broader pathway level. The patterns were generally found to be reproducible across platform and region, and were highly statistically significant. We show that the seeming discordance between the studies was primarily a result of the following factors, which are also typical for other brain array studies: (1) Sample sizes were, in retrospect, too small; (2) criteria were at once too restrictive (generally focusing on fold changes >1.5) and too broad (generally using p",
keywords = "Bipolar disorder, Confounders, Energy production, Gene expression, Meta-analysis, Metallothionein",
author = "Michael Elashoff and Higgs, {Brandon W.} and Yolken, {Robert H} and Knable, {Michael B.} and Serge Weis and Webster, {Maree J.} and Barci, {Beata M.} and Torrey, {E. Fuller}",
year = "2007",
month = "3",
language = "English (US)",
volume = "31",
pages = "221--243",
journal = "Journal of Molecular Neuroscience",
issn = "0895-8696",
publisher = "Humana Press",
number = "3",

}

TY - JOUR

T1 - Meta-analysis of 12 genomic studies in bipolar disorder

AU - Elashoff, Michael

AU - Higgs, Brandon W.

AU - Yolken, Robert H

AU - Knable, Michael B.

AU - Weis, Serge

AU - Webster, Maree J.

AU - Barci, Beata M.

AU - Torrey, E. Fuller

PY - 2007/3

Y1 - 2007/3

N2 - Multiple genome-wide expression studies of bipolar disorder have been published. However, a unified picture of the genomic basis for the disease has not yet emerged. Genes identified in one study often fail to be identified in other studies, prompting the question of whether microarray studies in the brain are inherently unreliable. To answer this question, we performed a meta-analysis of 12 microarray studies of bipolar disorder. These studies included >500 individual array samples, on a range of microarray platforms and brain regions. Although we confirmed that individual studies showed some differences in results, clear and striking regulation patterns emerged across the studies. These patterns were found at the individual gene level, at the functional level, and at the broader pathway level. The patterns were generally found to be reproducible across platform and region, and were highly statistically significant. We show that the seeming discordance between the studies was primarily a result of the following factors, which are also typical for other brain array studies: (1) Sample sizes were, in retrospect, too small; (2) criteria were at once too restrictive (generally focusing on fold changes >1.5) and too broad (generally using p

AB - Multiple genome-wide expression studies of bipolar disorder have been published. However, a unified picture of the genomic basis for the disease has not yet emerged. Genes identified in one study often fail to be identified in other studies, prompting the question of whether microarray studies in the brain are inherently unreliable. To answer this question, we performed a meta-analysis of 12 microarray studies of bipolar disorder. These studies included >500 individual array samples, on a range of microarray platforms and brain regions. Although we confirmed that individual studies showed some differences in results, clear and striking regulation patterns emerged across the studies. These patterns were found at the individual gene level, at the functional level, and at the broader pathway level. The patterns were generally found to be reproducible across platform and region, and were highly statistically significant. We show that the seeming discordance between the studies was primarily a result of the following factors, which are also typical for other brain array studies: (1) Sample sizes were, in retrospect, too small; (2) criteria were at once too restrictive (generally focusing on fold changes >1.5) and too broad (generally using p

KW - Bipolar disorder

KW - Confounders

KW - Energy production

KW - Gene expression

KW - Meta-analysis

KW - Metallothionein

UR - http://www.scopus.com/inward/record.url?scp=34548329120&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548329120&partnerID=8YFLogxK

M3 - Article

C2 - 17726228

AN - SCOPUS:34548329120

VL - 31

SP - 221

EP - 243

JO - Journal of Molecular Neuroscience

JF - Journal of Molecular Neuroscience

SN - 0895-8696

IS - 3

ER -