Abstract
Circadian rhythm sleep–wake disorders (CRSWDs) are characterized by disturbed sleep–wake patterns. We genotyped a PER3 variable number tandem repeat (VNTR) in 248 CRSWD individuals and 925 controls and found no significant association between the VNTR and CRSWDs or morningness–eveningness (diurnal) preferences in the Japanese population. Although the VNTR has been associated with circadian and sleep phenotypes in some other populations, the polymorphism may not be a universal genetic marker.
Circadian clocks regulate daily behavioral and physiological rhythms, such as sleep and wakefulness1. The molecular mechanism of the circadian clock system involves transcription–translation-negative feedback loops of multiple clock genes, including ARNTL (also known as BMAL1), Casein Kinase I (CKI), CLOCK, CRY, and PER. The BMAL1 and CLOCK proteins form heterodimers and activate transcription of CRY and PER. The CRY and PER proteins gradually accumulate in the cytoplasm, and CRY, PER, and CKI proteins form complexes that translocate to the nucleus. These protein complexes interact with BMAL1–CLOCK heterodimers, thereby inhibiting transcription of the CRY and PER genes2. Circadian rhythm sleep–wake disorders (CRSWDs) are defined by persistent or recurrent disturbed sleep–wake patterns and are thought to result from impairment of the circadian clock system3. CRSWDs consist of several subtypes, including delayed sleep–wake phase disorder (DSWPD) and non-24-hour sleep–wake rhythm disorder (N24SWD). DSWPD is characterized by significantly delayed sleep timing, while N24SWD is characterized by sleep timing that progressively delays each day in normal real-life settings. Additionally, circadian and sleep characteristics vary greatly among individuals4. A number of studies have shown that genetic factors significantly contribute to individual differences in daily activity/sleep time, known as morningness–eveningness preferences (or diurnal preferences), and sleep phenotypes5. The PER3 gene has a variable number tandem repeat (VNTR) consisting of either 4 or 5 repeated 54-bp sequences encoding 18 amino acids6. The 4-repeat allele of the VNTR has been associated with extreme evening preference and DSWPD6,7, while the 5-repeat allele of the VNTR has been associated with extreme morning preference and greater sleep propensity7,8. However, the frequency of the VNTR polymorphism differs among various populations9,10 and has not been examined in a large Japanese cohort of CRSWD patients and controls. In this study, we genotyped the PER3 VNTR polymorphism in 180 individuals with DSWPD, 68 individuals with N24SWD, and 925 controls and tested the VNTR polymorphism for associations with CRSWD phenotypes in the patient group and with diurnal preferences in the control group.
The study population consisted of 180 DSWPD individuals (109 men and 71 women; mean ± SD age: 26.71 ± 9.29 years), 68 N24SWD individuals (48 men and 20 women; mean ± SD age: 26.63 ± 9.74 years), and 925 controls (274 men and 651 women; mean ± SD age: 36.45 ± 12.10 years). Patient subjects and controls had been examined in an earlier study of ours11. All participants were unrelated, sighted Japanese men and women who were recruited at medical and research institutes in Japan. None of the controls had a history of sleep disorders or psychosis. The DSWPD and N24SWD patients were diagnosed by trained psychiatrists according to the International Classification of Sleep Disorders, Third Edition (ICSD-III, 2014)12. Diurnal preferences were assessed by the Japanese version of the Horne–Östberg Morningness-Eveningness Questionnaire (MEQ)13 in our previous study11. The 925 controls consisted of 245 morning types (79 men and 166 women; mean ± SD age: 36.23 ± 12.19 years), 594 intermediate types (163 men and 431 women; mean ± SD age: 36.86 ± 12.05 years), and 86 evening types (32 men and 54 women; mean ± SD age: 37.60 ± 10.69 years). The protocol was approved by the respective institutional ethical review boards. All subjects provided written informed consent. The present study was conducted according to the principles of the Declaration of Helsinki.
The 4- or 5-repeat allele of the PER3 VNTR was assessed by polymerase chain reaction (PCR). The primers used to amplify the DNA fragments containing 4 or 5 repeated 54-bp sequences were as follows: 5′-CAAAATTTTATGACACTACCAGAATGGCTGAC-3′, 5′-AACCTTGTACTTCCACATCAGTGCCTGG-3′. The PCR reaction was carried out in a 10-µl mixture containing AmpliTaq Gold 360 Master Mix and 360 GC Enhancer (Thermo Fisher Scientific, CA, USA), 1 µM of each primer, and 10 ng of genomic DNA and run in the GeneAmp PCR System 9600 (Thermo Fisher Scientific, CA, USA). Amplification conditions were as follows: 1 cycle of 95 °C for 5 min, 35 cycles of 95 °C for 30 s, 60 °C for 30 s, 72 °C for 30 s, and 1 cycle of 72 °C for 7 min. The PCR fragments were subject to electrophoresis in a 3% agarose gel.
Table 1 shows the genotypic and allelic distribution of the PER3 VNTR in controls, DSWPD individuals, and N24SWD individuals. Homozygosity for the 4-repeat allele PER3-(4/4) is the most common (63.89–70.59 %), and homozygosity for the 5-repeat allele PER3-(5/5) is the least common (0–5 %), with the 4-repeat allele having higher prevalence (79.44–85.29 %) than the 5-repeat allele (14.71–20.56 %) in the control, DSWPD, and N24SWD groups. The allele frequency of the PER3 VNTR was compared among the three groups, and no significant difference was identified in the VNTR frequency (χ2 = 3.0608, P = 0.2165). The PER3 VNTR was not associated with CRSWD phenotypes in our study samples. We then assessed the association of the PER3 VNTR with diurnal preferences (Table 2). Similarly, PER3-(4/4) is the most common polymorphism (62.79–70.88 %), PER3-(5/5) is the least common polymorphism (1.63–5.81 %), and the 4-repeat allele is more prevalent (78.49–83.67 %) than the 5-repeat allele (16.33–21.51 %) in the morning-, intermediate-, and evening-type groups. The VNTR alleles did not differ among these three types (χ2 = 3.1694, P = 0.205). No significant association was identified between the PER3 VNTR and diurnal preferences in our control samples. Age-adjusted MEQ scores were 52.93 ± 7.86 (mean ± SD) for PER3-(4/4), 53.56 ± 8.57 for PER3-(4/5), and 50.02 ± 8.06 for PER3-(5/5). There was no difference in age-adjusted MEQ scores among the three genotypes (F(2, 922) = 2.171; P = 0.115).
We found no significant association of the PER3 VNTR with CRSWD phenotypes or diurnal preferences in our Japanese cohort. The frequency distribution of the PER3 VNTR differs among African American, European American, Ghana Africans, Han Chinese, and Italian populations10,14. The data indicate that the associations between the VNTR and circadian and sleep phenotypes could differ among populations. Significant associations between the VNTR and diurnal preferences were found in the British populations7,15 but not in the Han Chinese populations14. The PER3 VNTR may not be an appropriate genetic marker for predicting circadian and sleep phenotypes in some populations, including the Japanese population. However, a number of studies indicate close links between the PER3 gene and circadian rhythms and sleep homeostasis8,16,17. Polymorphisms in the PER3 promoter are associated with DSWPD and these polymorphisms alter PER3 expression levels18. Our previous study demonstrated that a missense polymorphism in the PER3 coding region (rs228697) is associated with N24SWD and diurnal preferences11. Additionally, another group has recently identified the association of rs228697 with diurnal preferences19. Furthermore, the PER3 protein with the rs228697 variant has been shown to be a strong repressor for CLOCK–BMAL1-induced transcription20. These findings suggest that the PER3 gene could play an important role in the circadian clock system and sleep regulation.
In conclusion, our data show no significant association between the PER3 VNTR and CRSWD phenotypes or diurnal preferences in our Japanese cohort. The results of our study imply that the PER3 VNTR may not be a universal genetic marker for an individual’s circadian and sleep phenotypes.
HGV Database
The relevant data from this Data Report are hosted at the Human Genome Variation Database at https://doi.org/10.6084/m9.figshare.hgv.2336 and https://doi.org/10.6084/m9.figshare.hgv.2339.
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Acknowledgements
This study was supported by Grants-in-Aid for Scientific Research (#15K07580, #15K09817 and #16H05381) from the Japan Society for the Promotion of Science (JSPS), Intramural Research Grant (#26-2) for Neurological and Psychiatric Disorders from the National Center of Neurology and Psychiatry and a grant from the Takeda Research Foundation.
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A.H. has received research grants from the Japan Society for the Promotion of Science (JSPS) and Takeda Research Foundation. S.K. has received research grants from JSPS and the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT)/JSPS. H.K.'s laboratory has been supported by a donation from Fukuda Lifetech, Fukuda Life Tech Keiji, Tanaka Sleep Clinic, Akita Sleep Clinic, and Ai Ai Care to the Shiga University of Medical Science, and H.K. has received research grants from JSPS and MEXT/JSPS and Merck Sharp & Dohme Corporation/MSD. M.U. has received speaker’s honoraria from Eisai and Takeda. T.E. declares no conflict of interest. Y.I. has received research support from Takeda, Astellas, Alfresa, Philips Respironics, MSD, Eisai, Otsuka, and Koike Medical and speaker’s honorarium from Takeda, Astellas, Alfresa, Philips Respironics, MSD, Eisai, and Otsuka. Y.K. has received research support from the Japanese Ministry of Health, Labour and Welfare (MHLW) and speaker’s honoraria from Eisai, MSD, and Kaken. K.M. has received research support from MHLW, speaker’s honoraria from Eisai, MSD, and Takeda, and research grants from JSPS, Eisai, Nobelpharma, and Takeda.
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Hida, A., Kitamura, S., Kadotani, H. et al. Lack of association between PER3 variable number tandem repeat and circadian rhythm sleep–wake disorders. Hum Genome Var 5, 17 (2018). https://doi.org/10.1038/s41439-018-0017-7
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DOI: https://doi.org/10.1038/s41439-018-0017-7
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