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      Heritability of the timing of food intake

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d5531236e221">Background and aims</h5> <p id="P3">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 timing in a Spanish twin population. Because chronotype, bedtime and wake time are related to food timing, covariance with food timing was further assessed. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d5531236e226">Methods</h5> <p id="P4">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. </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d5531236e231">Results</h5> <p id="P5">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 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 (r <sub>g</sub> between .78 and .91). </p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d5531236e239">Conclusions</h5> <p id="P6">Genetic influences appear to account for a significant proportion of the variaibility 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. </p> </div><div class="section"> <a class="named-anchor" id="S5"> <!-- named anchor --> </a> <h5 class="section-title" id="d5531236e244">Clinical trial</h5> <p id="P7">NCT03059576. <a data-untrusted="" href="https://clinicaltrials.gov/ct2/show/NCT03059576" id="d5531236e248" target="xrefwindow">https://clinicaltrials.gov/ct2/show/NCT03059576</a> </p> </div>

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          Author and article information

          Journal
          Clinical Nutrition
          Clinical Nutrition
          Elsevier BV
          02615614
          March 2018
          March 2018
          Article
          10.1016/j.clnu.2018.03.002
          6135708
          29571565
          8fdec83a-32ea-41e4-be69-ae0cd30c3388
          © 2018

          https://www.elsevier.com/tdm/userlicense/1.0/

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