TY - JOUR
T1 - Circadian clock gene variants and their link with chronotype, chrononutrition, sleeping patterns and obesity in the European prospective investigation into cancer and nutrition (EPIC) study
AU - Molina-Montes, Esther
AU - Rodríguez-Barranco, Miguel
AU - Ching-López, Ana
AU - Artacho, Reyes
AU - Huerta, José María
AU - Amiano, Pilar
AU - Lasheras, Cristina
AU - Moreno-Iribas, Conchi
AU - Jimenez-Zabala, Ana
AU - Chirlaque, María Dolores
AU - Barricarte, Aurelio
AU - Luján-Barroso, Leila
AU - Agudo, Antonio
AU - Jakszyn, Paula
AU - Quirós, José Ramón
AU - Sánchez, María José
N1 - Funding Information:
In line with the above, previous studies have found that the circadian clock is regulated through a complex array of genes and their encoded protein products [14,15]. To date, there have been identified several circadian genes, also known as clock genes, with a proven role in human physiology: CLOCK, CRY1, Rev-erb-α, PER1, PER2, PER3, amongst others [2]. Over 300 genetic variants (i.e., single nucleotide polymorphisms, SNPs, such as rs150812083 and rs139315125 in PER2, have been associated with chronotype in genome-wide association studies (GWAS) [1,16]. Regarding the association between clock genes and obesity, some studies point to a positive association between some genetic variants with the risk of developing obesity and metabolic syndrome [8]. In particular, genetic variants of the CLOCK gene (e.g., rs3749474 and rs1801260) have been associated with a higher body mass index (BMI), with an increased energy intake and with reduction in sleep duration [8]. Also, polymorphisms of the PER2 gene (rs2304672 and rs4663302) and Rev-erb-α gene (rs2314339, rs2071427), have been associated with abdominal obesity, frequent snacking, and skipping breakfast [5]. The results of many of these studies, mostly cross-sectional and of limited size, suggest that individuals carrying certain gene variants eat more, sleep less, ingest more fat, and have greater abdominal obesity [ 17–19]. Furthermore, several studies argue that some of these genetic variants are associated with certain obesogenic chronotypes and sleep patterns [5,8]. However, not all studies show support for associations involving the same genes or genetic variants [8,20], and not all genetic variants in circadian genes have been investigated in relation to obesity risk, sleep disruption or improper dietary behaviours. Thus, the assessment of risk genotypes of circadian clock genes is an area of study, yet to be exploited, that could serve to shed light on the relationship between chronotype, chrononutrition and obesity, with potential relevance for the prevention and treatment of obesity [21,22].This study was supported by the Spanish “Fondo de Investigaciones Sanitarias” (FIS), Instituto de Salud Carlos III (PI15/00347; PI15/01752; PI15/00579; PI15/02181; PI15/01658), and the Marató TV3 (201604-10).The authors are thankful to the study participants of the EPIC-Spain chronodiet study. We also acknowledge the collaboration of Biobank Network of the Region of Murcia, BIOBANC-MUR, registered on the Registro Nacional de Biobancos with registration number B.0000859. BIOBANC-MUR is supported by the “Instituto de Salud Carlos III" (project PT20/00109), by “Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca, IMIB” and by “Consejeria de Salud de la Comunidad Autónoma de la Región de Murcia". Also, we acknowledge the Basque Biobank, which belongs to the Basque Government, Department of Health, with registration number B.0000140, and the BIOBANCO del Principado de Asturias with registration number B.0000827. The genotyping was performed at the Spanish National Cancer Research Centre, in the HumanGenotyping lab, a member of CeGen, PRB3 and is supported by grant PT17/0019, of the PE I+D+i 2013–2016, funded by ISCIII and ERDF.
Funding Information:
This study was supported by the Spanish “Fondo de Investigaciones Sanitarias” (FIS), Instituto de Salud Carlos III (PI15/00347; PI15/01752; PI15/00579; PI15/02181; PI15/01658), and the Marató TV3 (201604-10).
Funding Information:
The authors are thankful to the study participants of the EPIC-Spain chronodiet study. We also acknowledge the collaboration of Biobank Network of the Region of Murcia, BIOBANC-MUR, registered on the Registro Nacional de Biobancos with registration number B.0000859. BIOBANC-MUR is supported by the “ Instituto de Salud Carlos III" (project PT20/00109), by “Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca, IMIB” and by “Consejeria de Salud de la Comunidad Autónoma de la Región de Murcia". Also, we acknowledge the Basque Biobank, which belongs to the Basque Government, Department of Health, with registration number B.0000140, and the BIOBANCO del Principado de Asturias with registration number B.0000827. The genotyping was performed at the Spanish National Cancer Research Centre, in the HumanGenotyping lab, a member of CeGen, PRB3 and is supported by grant PT17/0019, of the PE I+D+i 2013–2016, funded by ISCIII and ERDF.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/9
Y1 - 2022/9
N2 - Background & aims: The circadian clock is involved in the control of daily rhythms and is related to the individual's chronotype, i.e., the morningness-eveneningness preference. Knowledge is limited on the relationship between circadian genes, chronotype, sleeping patterns, chronutrition and obesity. The aim was to explore these associations within the EPIC-Spain cohort study. Methods: There were 3183 subjects with information on twelve genetic variants of six genes (PER1, PER2, PER3, CRY1, NR1D1, CLOCK). Their association was evaluated with: chronotype and sleeping duration/quality (assessed by questionnaires), chrononutrition (number of meals and timing of intake assessed by a diet history), and also anthropometric measures of obesity at early and late adulthood (in two points in time), such as weight and waist circumference (assessed by physical measurements). Multivariable logistic and linear regression as well as additive genetic models were applied. Odds ratios (ORs), β coefficients, and p-values corrected for multiple comparisons were estimated. Genetic risk scores (GRS) were built to test gene-outcome associations further. Results: At nominal significance level, the variant rs2735611 (PER1 gene) was associated with a 11.6% decrease in long-term weight gain (per-allele β = −0.12), whereas three CLOCK gene variants (rs12649507, rs3749474 and rs4864548), were associated with a ∼20% decrease in waist circumference gain (per-allele β ∼ -0.19). These and other associations with body measures did not hold after multiple testing correction, except waist-to-hip ratio and rs1801260, rs2070062 and rs4580704 (CLOCK gene). Associations with chrononutrition variables, chronotype and sleep duration/quality failed to reach statistical significance. Conversely, a weighted GRS was associated with the evening/late chronotype and with all other outcomes (p < 0.05). The chronotype-GRS was associated with an increased overweight/obesity risk (vs normal weight) in both early and late adulthood (OR = 2.2; p = 0.004, and OR = 2.1; p = 0.02, respectively). Conclusion: Genetic variants of some circadian clock genes could explain the link between genetic susceptibility to the individual's chronotype and obesity risk.
AB - Background & aims: The circadian clock is involved in the control of daily rhythms and is related to the individual's chronotype, i.e., the morningness-eveneningness preference. Knowledge is limited on the relationship between circadian genes, chronotype, sleeping patterns, chronutrition and obesity. The aim was to explore these associations within the EPIC-Spain cohort study. Methods: There were 3183 subjects with information on twelve genetic variants of six genes (PER1, PER2, PER3, CRY1, NR1D1, CLOCK). Their association was evaluated with: chronotype and sleeping duration/quality (assessed by questionnaires), chrononutrition (number of meals and timing of intake assessed by a diet history), and also anthropometric measures of obesity at early and late adulthood (in two points in time), such as weight and waist circumference (assessed by physical measurements). Multivariable logistic and linear regression as well as additive genetic models were applied. Odds ratios (ORs), β coefficients, and p-values corrected for multiple comparisons were estimated. Genetic risk scores (GRS) were built to test gene-outcome associations further. Results: At nominal significance level, the variant rs2735611 (PER1 gene) was associated with a 11.6% decrease in long-term weight gain (per-allele β = −0.12), whereas three CLOCK gene variants (rs12649507, rs3749474 and rs4864548), were associated with a ∼20% decrease in waist circumference gain (per-allele β ∼ -0.19). These and other associations with body measures did not hold after multiple testing correction, except waist-to-hip ratio and rs1801260, rs2070062 and rs4580704 (CLOCK gene). Associations with chrononutrition variables, chronotype and sleep duration/quality failed to reach statistical significance. Conversely, a weighted GRS was associated with the evening/late chronotype and with all other outcomes (p < 0.05). The chronotype-GRS was associated with an increased overweight/obesity risk (vs normal weight) in both early and late adulthood (OR = 2.2; p = 0.004, and OR = 2.1; p = 0.02, respectively). Conclusion: Genetic variants of some circadian clock genes could explain the link between genetic susceptibility to the individual's chronotype and obesity risk.
KW - Anthropometry
KW - Chronobiology
KW - Circadian clock
KW - Diet habits
KW - Genetic association analyses
KW - Genetics
KW - Obesity
UR - http://www.scopus.com/inward/record.url?scp=85135821613&partnerID=8YFLogxK
U2 - 10.1016/j.clnu.2022.07.027
DO - 10.1016/j.clnu.2022.07.027
M3 - Article
C2 - 35961261
AN - SCOPUS:85135821613
SN - 0261-5614
VL - 41
SP - 1977
EP - 1990
JO - Clinical Nutrition
JF - Clinical Nutrition
IS - 9
ER -