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1.
Chronobiol Int ; 34(2): 269-272, 2017.
Article in English | MEDLINE | ID: mdl-28055282

ABSTRACT

Significant questions remain unanswered regarding the genetic versus environmental contributions to racial/ethnic differences in sleep and circadian rhythms. We addressed this question by investigating the association between diurnal preference, using the morningness-eveningness questionnaire (MEQ), and genetic ancestry within the Baependi Heart Study cohort, a highly admixed Brazilian population based in a rural town. Analysis was performed using measures of ancestry, using the Admixture program, and MEQ from 1,453 individuals. We found an association between the degree of Amerindian (but not European of African) ancestry and morningness, equating to 0.16 units for each additional percent of Amerindian ancestry, after adjustment for age, sex, education, and residential zone. To our knowledge, this is the first published report identifying an association between genetic ancestry and MEQ, and above all, the first one based on ancestral contributions within individuals living in the same community. This previously unknown ancestral dimension of diurnal preference suggests a stratification between racial/ethnic groups in an as yet unknown number of genetic polymorphisms.


Subject(s)
Circadian Rhythm , Indians, North American/genetics , Adult , Black People/genetics , Brazil , Cohort Studies , Ethnicity , Female , Gene Frequency , Homeostasis , Humans , Male , Middle Aged , Polymorphism, Genetic , Rural Population , Sleep , Surveys and Questionnaires , Urban Population , White People/genetics
2.
BMJ Open ; 6(10): e011598, 2016 10 21.
Article in English | MEDLINE | ID: mdl-27797990

ABSTRACT

PURPOSE: Cardiovascular disease (CVD) is a major challenge to global health. The same epidemiological transition scenario is replayed as countries develop, but with variations based on environment, culture and ethnic mixture. The Baependi Heart Study was set up in 2005 to develop a longitudinal family-based cohort study that reflects on some of the genetic and lifestyle-related peculiarities of the Brazilian populations, in order to evaluate genetic and environmental influences on CVD risk factor traits. PARTICIPANTS: Probands were recruited in Baependi, a small rural town in the state of Minas Gerais, Brazil, following by first-degree and then increasingly more distant relatives. The first follow-up wave took place in 2010, and the second in 2016. At baseline, the study evaluated 1691 individuals across 95 families. Cross-sectional data have been collected for 2239 participants. FINDINGS TO DATE: Environmental and lifestyle factors and measures relevant to cardiovascular health have been reported. Having expanded beyond cardiovascular health outcomes, the phenotype datasets now include genetics, biochemistry, anthropometry, mental health, sleep and circadian rhythms. Many of these have yielded heritability estimates, and a shared genetic background of anxiety and depression has recently been published. In spite of universal access to electricity, the population has been found to be strongly shifted towards morningness compared with metropolitan areas. FUTURE PLANS: A new follow-up, marking 10 years of the study, is ongoing in 2016, in which data are collected as in 2010 (with the exception of the neuropsychiatric protocol). In addition to this, a novel questionnaire package collecting information about intelligence, personality and spirituality is being planned. The data set on circadian rhythms and sleep will be amended through additional questionnaires, actimetry, home sleep EEG recording and dim light melatonin onset (DLMO) analysis. Finally, the anthropometric measures will be expanded by adding three-dimensional facial photography, voice recording and anatomical brain MRI.


Subject(s)
Cardiovascular Diseases/etiology , Datasets as Topic , Rural Population , Adult , Anthropometry , Brazil/epidemiology , Cardiovascular Diseases/ethnology , Cardiovascular Diseases/genetics , Cardiovascular Diseases/psychology , Circadian Rhythm , Cohort Studies , Cross-Sectional Studies , Ethnicity , Family , Female , Health Status , Humans , Life Style , Male , Mental Health , Middle Aged , Phenotype , Risk Factors , Sleep , Social Environment , Surveys and Questionnaires
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