ArticleBehavior genetics2015
Genetic and environmental contributions to the relationships between brain structure and average lifetime cigarette use.
Article in Behavior genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 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
12 citing papers in PubMed.
- Measuring the Associations Between Brain Morphometry and Polygenic Risk Scores for Substance use Disorders in Drug-Naive Adolescents.Behavior genetics · 2025Article
- Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study.Human brain mapping · 2023Article
- Long-term associations of cigarette smoking in early mid-life with predicted brain aging from mid- to late life.Addiction (Abingdon, England) · 2022Observational
- Gene-Environment Interactions and Stochastic Variations in the Gero-Exposome.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021Article
- The Alzheimer's Disease Exposome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2019Article
- Re-investigating the effects of chronic smoking on the pathology of alcohol-related human brain damage.Alcohol (Fayetteville, N.Y.) · 2019Article
- The utility of twins in developmental cognitive neuroscience research: How twins strengthen the ABCD research design.Developmental cognitive neuroscience · 2018Review
- A critical review of assays for hazardous components of air pollution.Free radical biology & medicine · 2018Review
- Brain Structure Alterations in Respect to Tobacco Consumption and Nicotine Dependence: A Comparative Voxel-Based Morphometry Study.Frontiers in neuroanatomy · 2018Article
- The genetic epidemiology of substance use disorder: A review.Drug and alcohol dependence · 2017Review
- Efficient genome-wide association in biobanks using topic modeling identifies multiple novel disease loci.Molecular medicine (Cambridge, Mass.) · 2017Article
- Development and aging of cortical thickness correspond to genetic organization patterns.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors.
Funding
Abstract
Chronic cigarette use has been consistently associated with differences in the neuroanatomy of smokers relative to nonsmokers in case-control studies. However, the etiology underlying the relationships between brain structure and cigarette use is unclear. A community-based sample of male twin pairs ages 51-59 (110 monozygotic pairs, 92 dizygotic pairs) was used to determine the extent to which there are common genetic and environmental influences between brain structure and average lifetime cigarette use. Brain structure was measured by high-resolution structural magnetic resonance imaging, from which subcortical volume and cortical volume, thickness and surface area were derived. Bivariate genetic models were fitted between these measures and average lifetime cigarette use measured as cigarette pack-years. Widespread, negative phenotypic correlations were detected between cigarette pack-years and several cortical as well as subcortical structures. Shared genetic and unique environmental factors contributed to the phenotypic correlations shared between cigarette pack-years and subcortical volume as well as cortical volume and surface area. Brain structures involved in many of the correlations were previously reported to play a role in specific aspects of networks of smoking-related behaviors. These results provide evidence for conducting future research on the etiology of smoking-related behaviors using measures of brain morphology.
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