Cited by 201Bipolar Disorder and TreatmentGenetic Associations and EpidemiologySchizophrenia research and treatment

Convergent functional genomics of genome‐wide association data for bipolar disorder: Comprehensive identification of candidate genes, pathways and mechanisms

Le‐Niculescu, H., Patel, S.D., Bhat, M., Kuczenski, R., Faraone, S.V., Tsuang, M.T., McMahon, F.J., Schork, N.J. +2 more·2009·American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

Abstract

Given the mounting convergent evidence implicating many more genes in complex disorders such as bipolar disorder than the small number identified unambiguously by the first‐generation Genome‐Wide Association studies (GWAS) to date, there is a strong need for improvements in methodology. One strategy is to include in the next generation GWAS larger numbers of subjects, and/or to pool independent studies into meta‐analyses. We propose and provide proof of principle for the use of a complementary approach, convergent functional genomics (CFG), as a way of mining the existing GWAS datasets for signals that are there already, but did not reach significance using a genetics‐only approach. With the CFG approach, the integration of genetics with genomics, of human and animal model data, and of multiple independent lines of evidence converging on the same genes offers a way of extracting signal from noise and prioritizing candidates. In essence our analysis is the most comprehensive integration of genetics and functional genomics to date in the field of bipolar disorder, yielding a series of novel (such as Klf12, Aldh1a1, A2bp1, Ak3l1, Rorb, Rora) and previously known (such as Bdnf, Arntl, Gsk3b, Disc1, Nrg1, Htr2a) candidate genes, blood biomarkers, as well as a comprehensive identification of pathways and mechanisms. These become prime targets for hypothesis driven follow‐up studies, new drug development and personalized medicine approaches. © 2008 Wiley‐Liss, Inc.

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Crossref · 10.1002/ajmg.b.30887

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  • Genetic linkage studies have been equivocal, yet modest associations have been reported between bipolar disorder and multiple genes of the molecular circadian clock.

    “Genetic linkage studies have been equivocal115, yet modest associations have been reported between BD and multiple genes of the molecular circadian clock116,117.”

    From Circadian rhythm disruption and mental health (2020) · cites this paper as [116]

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Authors
Le‐Niculescu, H., Patel, S. D., Bhat, M., Kuczenski, R., Faraone, S. V., Tsuang, M. T., McMahon, F. J., Schork, N. J., Nurnberger, J. I., & Niculescu, A. B.
Affiliations
  • Indiana University Indianapolis (US)
  • University of California San Diego (US)
  • SUNY Upstate Medical University (US)
  • National Institutes of Health (US)
  • Scripps Research Institute (US)
Corresponding author
Niculescu, A.B.
Venue
American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
Publisher
Wiley
Published
2008-11-21
Volume
150B
Issue
2
Pages
155-181
ISSN
  • 1552-4841 (ISSN-L)
  • 1552-485X
OpenAlex
W2137633946
Cited by
201
References
182
Citations by year
2026: 1 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 7 · 2018: 10 · 2017: 9 · 2016: 23 · 2015: 18 · 2014: 14 · 2013: 18 · 2012: 20
FWCI
12.60
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Medical Genetics Part B Neuropsychiatric Genetics (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health (R01MH071912)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Keywords
bipolar disorder, candidate genes, gene pathways, blood biomarkers, KLF12, ALDH1A1, A2BP1, RORB, RORA, brain-derived neurotrophic factor, Bmal1, GSK3B, DISC1, neuregulin-1, HTR2A, drug discovery targets
MeSH terms
Animals, Bipolar Disorder, Humans, Drug Design, Signal Transduction, Biomarkers, Gene Expression Profiling, Genomics, Mice, Genome-Wide Association Study

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