Association of CLOCK, ARNTL, PER2, and GNB3 polymorphisms with diurnal preference in a Korean population
Autor: | Joung Ho Moon, Chul Hyun Cho, Heon Jeong Lee, Hye Min Song, Young-Min Park, Leen Kim, Ho-Kyoung Yoon, Seung Gul Kang |
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Rok vydání: | 2016 |
Předmět: |
Genetic Markers
Male 0301 basic medicine Genotype Physiology CLOCK Proteins Single-nucleotide polymorphism Biology Polymorphism Single Nucleotide 03 medical and health sciences 0302 clinical medicine Asian People Polymorphism (computer science) Circadian Clocks Physiology (medical) Humans Circadian rhythm Allele Genetics ARNTL Transcription Factors Period Circadian Proteins Heterotrimeric GTP-Binding Proteins Circadian Rhythm ARNTL PER2 030104 developmental biology Female 030217 neurology & neurosurgery GNB3 |
Zdroj: | Chronobiology International. 33:1455-1463 |
ISSN: | 1525-6073 0742-0528 |
Popis: | Polymorphisms in human circadian genes are potential genetic markers that affect diurnal preference in several populations. In this study, we evaluated whether four polymorphisms in circadian genes CLOCK, ARNTL, PER2, and GNB3 were associated with diurnal preference in a Korean population. In all, 499 healthy subjects were genotyped for four functional polymorphisms in CLOCK, ARNTL, PER2, and GNB3. Composite scale of morningness (CSM) was applied to measure phenotype patterns of human diurnal preference. In addition, three subscale scores, i.e. "morningness," "activity planning," and "morning alertness," were extracted from the CSM. No significant associations were observed between CSM scores and CLOCK (rs1801260) genotype or T allele carrier status, CSM scores and ARNTL (rs2278749) C allele carrier status, and CSM scores and GNB3 (rs5443) genotype or C allele carrier status. However, total CSM scores and scores of its subscales were significantly associated with PER2 (rs934945) genotype (p = 0.010, p = 0.018, and p = 0.005 for total, morningness, and activity planning, respectively) and G allele carrier status (p = 0.003, p = 0.005, and p = 0.002 for total, morningness, and activity planning, respectively). The best model result obtained by performing multifactor dimensionality reduction analysis ([Formula: see text] |
Databáze: | OpenAIRE |
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