ArticleBMC medical genetics2012
Genetic analyses of smoking initiation, persistence, quantity, and age-at-onset of regular cigarette use in Brazilian families: the Baependi Heart Study.
Article in BMC medical genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Trial
- Carotid intima-media thickness and metabolic syndrome in a rural population: Results from the Baependi Heart Study.International Journal of Cardiology. Hypertension · 2020Article
- Prediction of Smoking Behavior From Single Nucleotide Polymorphisms With Machine Learning Approaches.Frontiers in psychiatry · 2020Article
- An Exome-Wide Association Study Identifies New Susceptibility Loci for Age of Smoking Initiation in African- and European-American Populations.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019Article
- Timing and quality of sleep in a rural Brazilian family-based cohort, the Baependi Heart Study.Scientific reports · 2016Article
- Cohort profile: the Baependi Heart Study-a family-based, highly admixed cohort study in a rural Brazilian town.BMJ open · 2016Article
- Genome-wide time-to-event analysis on smoking progression stages in a family-based study.Brain and behavior · 2016Article
- Distribution and heritability of diurnal preference (chronotype) in a rural Brazilian family-based cohort, the Baependi study.Scientific reports · 2015Article
- Using Social Network as a Recruiting Tool for Research on Substance Use in the Taipei Metropolitan Area: Study Design, Implementation, and Epidemiological Estimates.Journal of epidemiology · 2015Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this study was to estimate the genetic influences on the initiation of cigarette smoking, the persistence, quantity and age-at-onset of regular cigarette use in Brazilian families.
methodsThe data set consisted of 1,694 individuals enrolled in the Baependi Heart Study. The heritability and the heterogeneity in genetic and environmental variance components by gender were estimated from variance components approaches, using the SOLAR (Sequential Oligogenic Linkage Analysis Routines) computer package. The mixed-effects Cox model was used for the genetic analysis of the age-at onset of regular cigarette use.
resultsThe heritability estimates were high (> 50%) for smoking initiation and were intermediate, ranging from 23.4 to 31.9%, for smoking persistence and quantity. Significant evidence for heterogeneity in variance components by gender was observed for smoking initiation and age-at-onset of regular cigarette use. Genetic factors play an important role in the interindividual variation of these phenotypes in females, while in males there is a predominant environmental component, which could be explained by greater social influences in the initiation of tobacco use.
conclusionsSignificant heritabilities were observed in smoking phenotypes for both males and females from the Brazilian population. These data add to the literature and are concordant with the notion of significant biological determination in smoking behavior. Samples from the Baependi Heart Study may be valuable for the mapping of genetic loci that modulate this complex biological trait.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.