Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2007;31(6):897-903.
doi: 10.1016/j.neubiorev.2007.05.008. Epub 2007 Jun 3.

Convergent Functional Genomics of bipolar disorder: from animal model pharmacogenomics to human genetics and biomarkers

Affiliations
Review

Convergent Functional Genomics of bipolar disorder: from animal model pharmacogenomics to human genetics and biomarkers

H Le-Niculescu et al. Neurosci Biobehav Rev. 2007.

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.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Initial Iteration of Convergent Functional Genomics
Figure 2
Figure 2
Figure 3
Figure 3
Expanded Convergent Functional Genomics Approach to Identifying Candidate Genes Involved in Bipolar Disorder and Related Disorders
Figure 4
Figure 4. Top candidate genes for bipolar disorder(s)
Probability pyramid generated by the tabulation of independent convergent lines of evidence (as shown in Figure 3B). Plain text-increased by methamphetamine. Italics-decreased by methamphetamine. Color coding-different _target brain regions in our animal model. (a) from Ogden et al. 2004. (b) updated 2007 with new external lines of evidence published in the field since 2004. Once a gene is on the pyramid, it can only move up in priority as new evidence emerges over time. On the sides of the pyramids is depicted the scoring based on number of lines of evidence.
Figure 5
Figure 5
Expanded convergent Functional Genemonics (2007): Multiple Independent Lines of Evidence for Bayesian cross Validation

Similar articles

Cited by

References

    1. Abdolmaleky HM, Smith CL, Faraone SV, Shafa R, Stone W, Glatt SJ, et al. Methylomics in psychiatry: Modulation of gene-environment interactions may be through DNA methylation. Am J Med Genet B Neuropsychiatr Genet. 2004;127:51–59. - PubMed
    1. Barrett TB, Hauger RL, Kennedy JL, Sadovnick AD, Remick RA, Keck PE, et al. Evidence that a single nucleotide polymorphism in the promoter of the G protein receptor kinase 3 gene is associated with bipolar disorder. Mol Psychiatry. 2003;8:546–557. - PubMed
    1. Bartzokis G. Acetylcholinesterase Inhibitors May Improve Myelin Integrity. Biol Psychiatry 2006 - PubMed
    1. Bertsch B, Ogden CA, Sidhu K, Le-Niculescu H, Kuczenski R, Niculescu AB. Convergent functional genomics: a Bayesian candidate gene identification approach for complex disorders. Methods. 2005;37:274–279. - PubMed
    1. Brandish PE, Su M, Holder DJ, Hodor P, Szumiloski J, Kleinhanz RR, et al. Regulation of gene expression by lithium and depletion of inositol in slices of adult rat cortex. Neuron. 2005;45:861–872. - PubMed

Publication types

Substances

  NODES
Association 2
twitter 2