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A Survey of Genomic Studies Supports Association of Circadian Clock Genes with Bipolar Disorder Spectrum Illnesses and Lithium Response

Overview of attention for article published in PLOS ONE, February 2012
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Title
A Survey of Genomic Studies Supports Association of Circadian Clock Genes with Bipolar Disorder Spectrum Illnesses and Lithium Response
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0032091
Pubmed ID
Authors

Michael J. McCarthy, Caroline M. Nievergelt, John R. Kelsoe, David K. Welsh

Abstract

Circadian rhythm abnormalities in bipolar disorder (BD) have led to a search for genetic abnormalities in circadian "clock genes" associated with BD. However, no significant clock gene findings have emerged from genome-wide association studies (GWAS). At least three factors could account for this discrepancy: complex traits are polygenic, the organization of the clock is more complex than previously recognized, and/or genetic risk for BD may be shared across multiple illnesses. To investigate these issues, we considered the clock gene network at three levels: essential "core" clock genes, upstream circadian clock modulators, and downstream clock controlled genes. Using relaxed thresholds for GWAS statistical significance, we determined the rates of clock vs. control genetic associations with BD, and four additional illnesses that share clinical features and/or genetic risk with BD (major depression, schizophrenia, attention deficit/hyperactivity). Then we compared the results to a set of lithium-responsive genes. Associations with BD-spectrum illnesses and lithium-responsiveness were both enriched among core clock genes but not among upstream clock modulators. Associations with BD-spectrum illnesses and lithium-responsiveness were also enriched among pervasively rhythmic clock-controlled genes but not among genes that were less pervasively rhythmic or non-rhythmic. Our analysis reveals previously unrecognized associations between clock genes and BD-spectrum illnesses, partly reconciling previously discordant results from past GWAS and candidate gene studies.

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Geographical breakdown

Country Count As %
United States 4 2%
Germany 2 1%
United Kingdom 2 1%
Israel 1 <1%
Poland 1 <1%
Unknown 173 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 17%
Student > Ph. D. Student 24 13%
Student > Bachelor 22 12%
Student > Master 18 10%
Other 12 7%
Other 46 25%
Unknown 29 16%
Readers by discipline Count As %
Medicine and Dentistry 40 22%
Agricultural and Biological Sciences 27 15%
Neuroscience 22 12%
Biochemistry, Genetics and Molecular Biology 21 11%
Psychology 18 10%
Other 11 6%
Unknown 44 24%