Jesus Lopez-Minguez1, Hassan S Dashti2, Juan J Madrid-Valero3, Juan A Madrid1, Richa Saxena4, Frank A J L Scheer5, Juan R Ordoñana6, Marta Garaulet7. 1. Department of Physiology, Faculty of Biology, University of Murcia, Spain; Murcia Institute for BioHealth Research (IMIB-Arrixaca-UM), University of Murcia, Spain. 2. Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. 3. Murcia Institute for BioHealth Research (IMIB-Arrixaca-UM), University of Murcia, Spain; Department of Human Anatomy and Psychobiology, School of Psychology, University of Murcia, Spain. 4. Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA. 5. Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA; Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA. 6. Murcia Institute for BioHealth Research (IMIB-Arrixaca-UM), University of Murcia, Spain; Department of Human Anatomy and Psychobiology, School of Psychology, University of Murcia, Spain. Electronic address: ordonana@um.es. 7. Murcia Institute for BioHealth Research (IMIB-Arrixaca-UM), University of Murcia, Spain. Electronic address: garaulet@um.es.
Abstract
BACKGROUND & AIMS: While environmental factors are presumed to be primary drivers of food timing, preliminary evidence suggests that genetics may be an additional determinant. The aim was to explore the relative contribution of genetics and environmental factors to variation in the timing of food intake in a Spanish twin population. Because chronotype, bedtime and wake time are related to food timing, covariance with food timing was further assessed. METHODS: In this observational study, 53 pairs of adult (mean (SD) = 52 (6.03) years) female twins (28 monozygotic; 25 dizygotic) were recruited from the Murcia Twin Register. Zygosity was determined by DNA-testing. Timing of the three main meals of the day was assessed via 7-day dietary records, and the midpoint of food intake was computed by calculating the midpoint between breakfast and dinner times. Chronotype, bedtime and wake time were self-reported. Heritability of food timing and related traits were estimated by comparing monozygotic and dizygotic twin correlations and fitting genetic structural equation models to measured variables. RESULTS: We observed genetic influences for food timing, with highest heritability for the midpoint of food intake (64%) in an overweight/obese population (BMI = 26.01 ± 3.77). Genetic factors contributed to a higher degree to the timing of breakfast (56%) than the timing of lunch (38%) or dinner (n.s.). Similarly, heritability estimates were larger in related behavioral traits earlier on in the day (i.e. wake time, (55%)), than those later on in the day (i.e. bedtime, (38%)). Bivariate analyses revealed a significant genetic overlap between food timing and bedtime and chronotype (rG between 0.78 and 0.91). CONCLUSIONS: Genetic influences appear to account for a significant proportion of the variability in food timing, particularly breakfast. Thus, interventions related to food timing may be more effective when targeting afternoon/evening traits, such as lunch or dinner times. Furthermore, our data suggest shared genetic architecture underlying food timing and phenotypically related traits. CLINICAL TRIAL: NCT03059576. https://clinicaltrials.gov/ct2/show/NCT03059576.
BACKGROUND & AIMS: While environmental factors are presumed to be primary drivers of food timing, preliminary evidence suggests that genetics may be an additional determinant. The aim was to explore the relative contribution of genetics and environmental factors to variation in the timing of food intake in a Spanish twin population. Because chronotype, bedtime and wake time are related to food timing, covariance with food timing was further assessed. METHODS: In this observational study, 53 pairs of adult (mean (SD) = 52 (6.03) years) female twins (28 monozygotic; 25 dizygotic) were recruited from the Murcia Twin Register. Zygosity was determined by DNA-testing. Timing of the three main meals of the day was assessed via 7-day dietary records, and the midpoint of food intake was computed by calculating the midpoint between breakfast and dinner times. Chronotype, bedtime and wake time were self-reported. Heritability of food timing and related traits were estimated by comparing monozygotic and dizygotic twin correlations and fitting genetic structural equation models to measured variables. RESULTS: We observed genetic influences for food timing, with highest heritability for the midpoint of food intake (64%) in an overweight/obese population (BMI = 26.01 ± 3.77). Genetic factors contributed to a higher degree to the timing of breakfast (56%) than the timing of lunch (38%) or dinner (n.s.). Similarly, heritability estimates were larger in related behavioral traits earlier on in the day (i.e. wake time, (55%)), than those later on in the day (i.e. bedtime, (38%)). Bivariate analyses revealed a significant genetic overlap between food timing and bedtime and chronotype (rG between 0.78 and 0.91). CONCLUSIONS: Genetic influences appear to account for a significant proportion of the variability in food timing, particularly breakfast. Thus, interventions related to food timing may be more effective when targeting afternoon/evening traits, such as lunch or dinner times. Furthermore, our data suggest shared genetic architecture underlying food timing and phenotypically related traits. CLINICAL TRIAL: NCT03059576. https://clinicaltrials.gov/ct2/show/NCT03059576.
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