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Genetic and Metabolic Characterization of Insomnia

Overview of attention for article published in PLOS ONE, April 2011
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Title
Genetic and Metabolic Characterization of Insomnia
Published in
PLOS ONE, April 2011
DOI 10.1371/journal.pone.0018455
Pubmed ID
Authors

Hyo-Jeong Ban, Sang Cheol Kim, Jungmin Seo, Ho-Bum Kang, Jung Kyoon Choi

Abstract

Insomnia is reported to chronically affect 10∼15% of the adult population. However, very little is known about the genetics and metabolism of insomnia. Here we surveyed 10,038 Korean subjects whose genotypes have been previously profiled on a genome-wide scale. About 16.5% reported insomnia and displayed distinct metabolic changes reflecting an increase in insulin secretion, a higher risk of diabetes, and disrupted calcium signaling. Insomnia-associated genotypic differences were highly concentrated within genes involved in neural function. The most significant SNPs resided in ROR1 and PLCB1, genes known to be involved in bipolar disorder and schizophrenia, respectively. Putative enhancers, as indicated by the histone mark H3K4me1, were discovered within both genes near the significant SNPs. In neuronal cells, the enhancers were bound by PAX6, a neural transcription factor that is essential for central nervous system development. Open chromatin signatures were found on the enhancers in human pancreas, a tissue where PAX6 is known to play a role in insulin secretion. In PLCB1, CTCF was found to bind downstream of the enhancer and interact with PAX6, suggesting that it can probably inhibit gene activation by PAX6. PLCB4, a circadian gene that is closely located downstream of PLCB1, was identified as a candidate target gene. Hence, dysregulation of ROR1, PLCB1, or PLCB4 by PAX6 and CTCF may be one mechanism that links neural and pancreatic dysfunction not only in insomnia but also in the relevant psychiatric disorders that are accompanied with circadian rhythm disruption and metabolic syndrome.

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Geographical breakdown

Country Count As %
United Kingdom 2 1%
United States 2 1%
Japan 1 <1%
Canada 1 <1%
Unknown 136 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 16%
Student > Master 21 15%
Student > Ph. D. Student 20 14%
Student > Bachelor 16 11%
Student > Doctoral Student 11 8%
Other 28 20%
Unknown 23 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 22%
Medicine and Dentistry 30 21%
Psychology 16 11%
Neuroscience 12 8%
Biochemistry, Genetics and Molecular Biology 10 7%
Other 15 11%
Unknown 28 20%