Abstract:Research indicates that sleep duration and quality are inter-related factors that contribute to obesity, but few studies have focused on sleep chronotype, representing an individual's circadian proclivity, nor assessed these factors in racially diverse middle-aged samples. We examined the associations between chronotype and obesity among black and white men and women participating in the Bogalusa Heart Study (BHS).Body mass index (BMI) and sleep data were available for 1,197 middle-aged men and women (mean age… Show more
“…These findings are supported by strong evidence from observational studies on the associations between evening chronotype and higher risks for metabolic diseases ( Merikanto et al, 2013 ; Yu et al, 2015 ; Knutson and von Schantz, 2018 ). Furthermore, some studies have found associations between a higher body mass index or obesity and chronotype ( Celis-Morales et al, 2017 ; de Punder et al, 2019 ; Sun et al, 2020 ), but these associations have not been confirmed among our study population ( Maukonen et al, 2019 ). Future studies should examine in more detail the metabolic aspect of the association between NR1D2 gene and chronotype.…”
Section: Discussioncontrasting
confidence: 75%
“…These findings are supported by strong evidence from observational studies on the associations between evening chronotype and higher risks for metabolic diseases (Merikanto et al, 2013;Yu et al, 2015;Knutson and von Schantz, 2018). Furthermore, some studies have found associations between a higher body mass index or obesity and chronotype (Celis-Morales et al, 2017;de Punder et al, 2019;Sun Adjusted for age, sex, 5 principal components, and genotyping batch. Decreasing beta and increasing odds ratios refer to evening type.…”
Individuals with a later chronotype (evening types) tend to have unhealthier behaviors and increased morbidity and mortality as compared with those with an earlier chronotype (morning types). However, the role of genetics in explaining evening types’ adverse health and health behavior is unclear. Our aim was to study genetic associations of chronotype among 8433 Finns from the cross-sectional National FINRISK 2007 and 2012 studies. First, we studied associations between chronotype and 20 key clock genes with a candidate-gene approach and then performed a full genome-wide association study (GWAS) of chronotype. We also developed a genetic risk score (GRS) for chronotype based on 313 single nucleotide polymorphisms (SNPs) that have previously been associated with chronotype. Chronotype was assessed with a shortened version of Horne and Östberg’s Morningness-Eveningness Questionnaire (sMEQ), and for comparison, we also used the single self-evaluation question on chronotype from the questionnaire. Linear and logistic regression was used for statistical analysis assuming additive effects. The clock gene analysis revealed 1 independent association signal within NR1D2 (lead SNP rs4131403) that was associated with chronotype ( p < 0.05; as based on both chronotype assessment methods). The GWAS analysis did not yield any genome-wide significant associations ( p > 5 × 10−8). However, higher GRS was associated with evening chronotype ( p < 0.001; as based on both chronotype assessment methods). In conclusion, our findings indicated novel genetic associations between chronotype and the NR1D2 clock gene, which has previously been associated with carbohydrate and lipid metabolism. Furthermore, the GRS was able to capture the genetic aspect of chronotype in our study population. These findings expand our knowledge of the genetic basis of chronotype.
“…These findings are supported by strong evidence from observational studies on the associations between evening chronotype and higher risks for metabolic diseases ( Merikanto et al, 2013 ; Yu et al, 2015 ; Knutson and von Schantz, 2018 ). Furthermore, some studies have found associations between a higher body mass index or obesity and chronotype ( Celis-Morales et al, 2017 ; de Punder et al, 2019 ; Sun et al, 2020 ), but these associations have not been confirmed among our study population ( Maukonen et al, 2019 ). Future studies should examine in more detail the metabolic aspect of the association between NR1D2 gene and chronotype.…”
Section: Discussioncontrasting
confidence: 75%
“…These findings are supported by strong evidence from observational studies on the associations between evening chronotype and higher risks for metabolic diseases (Merikanto et al, 2013;Yu et al, 2015;Knutson and von Schantz, 2018). Furthermore, some studies have found associations between a higher body mass index or obesity and chronotype (Celis-Morales et al, 2017;de Punder et al, 2019;Sun Adjusted for age, sex, 5 principal components, and genotyping batch. Decreasing beta and increasing odds ratios refer to evening type.…”
Individuals with a later chronotype (evening types) tend to have unhealthier behaviors and increased morbidity and mortality as compared with those with an earlier chronotype (morning types). However, the role of genetics in explaining evening types’ adverse health and health behavior is unclear. Our aim was to study genetic associations of chronotype among 8433 Finns from the cross-sectional National FINRISK 2007 and 2012 studies. First, we studied associations between chronotype and 20 key clock genes with a candidate-gene approach and then performed a full genome-wide association study (GWAS) of chronotype. We also developed a genetic risk score (GRS) for chronotype based on 313 single nucleotide polymorphisms (SNPs) that have previously been associated with chronotype. Chronotype was assessed with a shortened version of Horne and Östberg’s Morningness-Eveningness Questionnaire (sMEQ), and for comparison, we also used the single self-evaluation question on chronotype from the questionnaire. Linear and logistic regression was used for statistical analysis assuming additive effects. The clock gene analysis revealed 1 independent association signal within NR1D2 (lead SNP rs4131403) that was associated with chronotype ( p < 0.05; as based on both chronotype assessment methods). The GWAS analysis did not yield any genome-wide significant associations ( p > 5 × 10−8). However, higher GRS was associated with evening chronotype ( p < 0.001; as based on both chronotype assessment methods). In conclusion, our findings indicated novel genetic associations between chronotype and the NR1D2 clock gene, which has previously been associated with carbohydrate and lipid metabolism. Furthermore, the GRS was able to capture the genetic aspect of chronotype in our study population. These findings expand our knowledge of the genetic basis of chronotype.
“…Low adherence to a healthy nutritional pattern such as Mediterranean diet represents an additional risk for the development of obesity [ 55 ]. As well-known obesity is currently considered a known risk factor for cancer [ 56 , 57 ], and at the same time it is often detected in subjects with the evening chronotype [ 58 , 59 ]. This association could explain the increased risk of developing obesity–related cancers, such as prostate and breast cancer in the evening chronotype [ 27 ].…”
Background
Chronotype is defined as a trait determining the subject circadian preference in behavioral and biological rhythms relative to external light–dark cycle. Although individual differences in chronotype have been associated with an increased risk of developing some types of cancer, no studies have been carried out in gastroenteropancreatic neuroendocrine tumors (GEP-NET).
Materials
We investigate the differences in chronotype between 109 GEP-NET and 109 healthy subjects, gender-, age-, and BMI-matched; and its correlation with tumor aggressiveness.
Results
GEP-NET patients have a lower chronotype score (p = 0.035) and a higher percentage of evening chronotype (p = 0.003) than controls. GEP-NET patients with morning chronotype had lower BMI, waist circumference, and higher percentage of MetS (p < 0.001) than evening type. Interestingly, considering the clinical pathological characteristics, patients with the presence of metastasis, grading G2, and in progressive disease presented the lower chronotype score (p = 0.004, p < 0.001, and p = 0.002; respectively) compared to other categories. Chronotype score was negatively associated with anthropometric measurements, metabolic profile, percentage of MetS, and Ki67 index (p < 0.001 for all).
Conclusions
GEP-NET patients have an unhealthy metabolic profile and present more commonly an evening chronotype. These results support the importance of including the assessment of chronotype in an adjunctive tool for the prevention of metabolic alterations and tumor aggressiveness of GEP-NET.
“…[2] Also, observational studies show associations between being an evening person and risk for diabetes, [9] metabolic syndrome, [9] sarcopenia [9] and obesity. [10] Further, Mendelian randomisation analyses indicate that being a morning person may lead to better mental health. [2] Recent studies have shown that brain structure as determined by neuroimaging methods is highly heritable, [11,12] and the growing use of imaging techniques in genetic studies has opened up new lines of investigation for several phenotypes.…”
Section: Introductionmentioning
confidence: 99%
“…[2] Also, observational studies show associations between being an evening person and risk for diabetes,[9] metabolic syndrome,[9] sarcopenia[9] and obesity. [10] Further, Mendelian randomisation analyses indicate that being a morning person may lead to better mental health. [2]…”
Study objectivePrevious neuroimaging studies have highlighted differences in white matter microstructure among individuals with different chronotypes, but it is unclear whether those differences are due to genetic or environmental factors.MethodsHere we leverage summary statistics from recent large-scale genome-wide association studies (GWAS) of chronotype and diffusion tensor imaging (DTI) measures to examine the genetic overlap and infer causal relationships between these traits.ResultsWe identified 29 significant pairwise genetic correlations, of which 13 also had evidence for a causal association. Negative genetic correlations were identified between chronotype and brain-wide mean, axial and radial diffusivities. When exploring individual tracts, ten negative genetic correlations were observed with mean diffusivities, 10 with axial diffusivities, 4 with radial diffusivities and 2 with mode of anisotropy. We found evidence for a possible causal association of chronotype with white matter microstructure in individual tracts including the posterior limb and retrolenticular part of the internal capsule; the genu and splenium of the corpus callosum and the posterior, superior and anterior regions of the corona radiata.ConclusionsOur results suggest that eveningness is associated with variation in tract-specific white matter microstructure and, for an evening person, increases in axial and / or radial diffusivities may influence a higher mean diffusivity. These findings add to our understanding of circadian preference and its relationship with the brain, providing new perspectives on the genetic neurological underpinnings of chronotype’s role in health and disease.Statement of SignificanceSleep is essential for a healthy brain function, particularly for neural organization and brain structure development. Individual chronotype differences have been associated with depression, schizophrenia, diabetes and obesity, among other conditions. Investigating the shared genetic aetiology between chronotype and white matter microstructure is essential to understand the neurological basis of individual variation in chronotype. In the present study, we show that tract-specific white matter microstructure is genetically correlated and causally associated with chronotype.
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