Convergent Functional Genomics of bipolar disorder

From animal model pharmacogenomics to human genetics and biomarkers

Helen Le-Niculescu, M. J. McFarland, S. Mamidipalli, C. A. Ogden, R. Kuczenski, S. M. Kurian, D. R. Salomon, Ming T. Tsuang, John Nurnberger, Alexander Niculescu

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

Progress in understanding the genetic and neurobiological basis of bipolar disorder(s) has come from both human studies and animal model studies. Until recently, the lack of concerted integration between the two approaches has been hindering the pace of discovery, or more exactly, constituted a missed opportunity to accelerate our understanding of this complex and heterogeneous group of disorders. Our group has helped overcome this "lost in translation" barrier by developing an approach called convergent functional genomics (CFG). The approach integrates animal model gene expression data with human genetic linkage/association data, as well as human tissue (postmortem brain, blood) data. This Bayesian strategy for cross-validating findings extracts meaning from large datasets, and prioritizes candidate genes, pathways and mechanisms for subsequent targeted, hypothesis-driven research. The CFG approach may also be particularly useful for identification of blood biomarkers of the illness.

Original languageEnglish
Pages (from-to)897-903
Number of pages7
JournalNeuroscience and Biobehavioral Reviews
Volume31
Issue number6
DOIs
StatePublished - 2007

Fingerprint

Pharmacogenetics
Medical Genetics
Genomics
Bipolar Disorder
Animal Models
Biomarkers
Genetic Linkage
Gene Expression
Brain
Research
Genes
Datasets

Keywords

  • Animal model
  • Biomarkers
  • Bipolar
  • Blood
  • Brain
  • Convergent functional genomics
  • Genes
  • Microarray

ASJC Scopus subject areas

  • Behavioral Neuroscience

Cite this

Convergent Functional Genomics of bipolar disorder : From animal model pharmacogenomics to human genetics and biomarkers. / Le-Niculescu, Helen; McFarland, M. J.; Mamidipalli, S.; Ogden, C. A.; Kuczenski, R.; Kurian, S. M.; Salomon, D. R.; Tsuang, Ming T.; Nurnberger, John; Niculescu, Alexander.

In: Neuroscience and Biobehavioral Reviews, Vol. 31, No. 6, 2007, p. 897-903.

Research output: Contribution to journalArticle

Le-Niculescu, Helen ; McFarland, M. J. ; Mamidipalli, S. ; Ogden, C. A. ; Kuczenski, R. ; Kurian, S. M. ; Salomon, D. R. ; Tsuang, Ming T. ; Nurnberger, John ; Niculescu, Alexander. / Convergent Functional Genomics of bipolar disorder : From animal model pharmacogenomics to human genetics and biomarkers. In: Neuroscience and Biobehavioral Reviews. 2007 ; Vol. 31, No. 6. pp. 897-903.
@article{8e95c48080db41f48b27de08ae6a5885,
title = "Convergent Functional Genomics of bipolar disorder: From animal model pharmacogenomics to human genetics and biomarkers",
abstract = "Progress in understanding the genetic and neurobiological basis of bipolar disorder(s) has come from both human studies and animal model studies. Until recently, the lack of concerted integration between the two approaches has been hindering the pace of discovery, or more exactly, constituted a missed opportunity to accelerate our understanding of this complex and heterogeneous group of disorders. Our group has helped overcome this {"}lost in translation{"} barrier by developing an approach called convergent functional genomics (CFG). The approach integrates animal model gene expression data with human genetic linkage/association data, as well as human tissue (postmortem brain, blood) data. This Bayesian strategy for cross-validating findings extracts meaning from large datasets, and prioritizes candidate genes, pathways and mechanisms for subsequent targeted, hypothesis-driven research. The CFG approach may also be particularly useful for identification of blood biomarkers of the illness.",
keywords = "Animal model, Biomarkers, Bipolar, Blood, Brain, Convergent functional genomics, Genes, Microarray",
author = "Helen Le-Niculescu and McFarland, {M. J.} and S. Mamidipalli and Ogden, {C. A.} and R. Kuczenski and Kurian, {S. M.} and Salomon, {D. R.} and Tsuang, {Ming T.} and John Nurnberger and Alexander Niculescu",
year = "2007",
doi = "10.1016/j.neubiorev.2007.05.008",
language = "English",
volume = "31",
pages = "897--903",
journal = "Neuroscience and Biobehavioral Reviews",
issn = "0149-7634",
publisher = "Elsevier Limited",
number = "6",

}

TY - JOUR

T1 - Convergent Functional Genomics of bipolar disorder

T2 - From animal model pharmacogenomics to human genetics and biomarkers

AU - Le-Niculescu, Helen

AU - McFarland, M. J.

AU - Mamidipalli, S.

AU - Ogden, C. A.

AU - Kuczenski, R.

AU - Kurian, S. M.

AU - Salomon, D. R.

AU - Tsuang, Ming T.

AU - Nurnberger, John

AU - Niculescu, Alexander

PY - 2007

Y1 - 2007

N2 - Progress in understanding the genetic and neurobiological basis of bipolar disorder(s) has come from both human studies and animal model studies. Until recently, the lack of concerted integration between the two approaches has been hindering the pace of discovery, or more exactly, constituted a missed opportunity to accelerate our understanding of this complex and heterogeneous group of disorders. Our group has helped overcome this "lost in translation" barrier by developing an approach called convergent functional genomics (CFG). The approach integrates animal model gene expression data with human genetic linkage/association data, as well as human tissue (postmortem brain, blood) data. This Bayesian strategy for cross-validating findings extracts meaning from large datasets, and prioritizes candidate genes, pathways and mechanisms for subsequent targeted, hypothesis-driven research. The CFG approach may also be particularly useful for identification of blood biomarkers of the illness.

AB - Progress in understanding the genetic and neurobiological basis of bipolar disorder(s) has come from both human studies and animal model studies. Until recently, the lack of concerted integration between the two approaches has been hindering the pace of discovery, or more exactly, constituted a missed opportunity to accelerate our understanding of this complex and heterogeneous group of disorders. Our group has helped overcome this "lost in translation" barrier by developing an approach called convergent functional genomics (CFG). The approach integrates animal model gene expression data with human genetic linkage/association data, as well as human tissue (postmortem brain, blood) data. This Bayesian strategy for cross-validating findings extracts meaning from large datasets, and prioritizes candidate genes, pathways and mechanisms for subsequent targeted, hypothesis-driven research. The CFG approach may also be particularly useful for identification of blood biomarkers of the illness.

KW - Animal model

KW - Biomarkers

KW - Bipolar

KW - Blood

KW - Brain

KW - Convergent functional genomics

KW - Genes

KW - Microarray

UR - http://www.scopus.com/inward/record.url?scp=34548060706&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548060706&partnerID=8YFLogxK

U2 - 10.1016/j.neubiorev.2007.05.008

DO - 10.1016/j.neubiorev.2007.05.008

M3 - Article

VL - 31

SP - 897

EP - 903

JO - Neuroscience and Biobehavioral Reviews

JF - Neuroscience and Biobehavioral Reviews

SN - 0149-7634

IS - 6

ER -