Literature DB >> 25690561

Genetic and environmental contributions to the relationships between brain structure and average lifetime cigarette use.

Elizabeth Prom-Wormley1, Hermine H M Maes, J Eric Schmitt, Matthew S Panizzon, Hong Xian, Lisa T Eyler, Carol E Franz, Michael J Lyons, Ming T Tsuang, Anders M Dale, Christine Fennema-Notestine, William S Kremen, Michael C Neale.   

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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Mesh:

Year:  2015        PMID: 25690561      PMCID: PMC4348348          DOI: 10.1007/s10519-014-9704-4

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  68 in total

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2.  Cortical volume and speed-of-processing are complementary in prediction of performance intelligence.

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3.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
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4.  Stroke risk profile, brain volume, and cognitive function: the Framingham Offspring Study.

Authors:  S Seshadri; P A Wolf; A Beiser; M F Elias; R Au; C S Kase; R B D'Agostino; C DeCarli
Journal:  Neurology       Date:  2004-11-09       Impact factor: 9.910

Review 5.  Functional magnetic resonance imaging of brain reward circuitry in the human.

Authors:  H C Breiter; B R Rosen
Journal:  Ann N Y Acad Sci       Date:  1999-06-29       Impact factor: 5.691

6.  Distinct genetic influences on cortical surface area and cortical thickness.

Authors:  Matthew S Panizzon; Christine Fennema-Notestine; Lisa T Eyler; Terry L Jernigan; Elizabeth Prom-Wormley; Michael Neale; Kristen Jacobson; Michael J Lyons; Michael D Grant; Carol E Franz; Hong Xian; Ming Tsuang; Bruce Fischl; Larry Seidman; Anders Dale; William S Kremen
Journal:  Cereb Cortex       Date:  2009-03-18       Impact factor: 5.357

7.  Risk for nicotine dependence and lung cancer is conferred by mRNA expression levels and amino acid change in CHRNA5.

Authors:  Jen C Wang; Carlos Cruchaga; Nancy L Saccone; Sarah Bertelsen; Pengyuan Liu; John P Budde; Weimin Duan; Louis Fox; Richard A Grucza; Jason Kern; Kevin Mayo; Oliver Reyes; John Rice; Scott F Saccone; Noah Spiegel; Joseph H Steinbach; Jerry A Stitzel; Marshall W Anderson; Ming You; Victoria L Stevens; Laura J Bierut; Alison M Goate
Journal:  Hum Mol Genet       Date:  2009-05-14       Impact factor: 6.150

8.  Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study.

Authors:  William S Kremen; Elizabeth Prom-Wormley; Matthew S Panizzon; Lisa T Eyler; Bruce Fischl; Michael C Neale; Carol E Franz; Michael J Lyons; Jennifer Pacheco; Michele E Perry; Allison Stevens; J Eric Schmitt; Michael D Grant; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Seth A Eisen; Anders M Dale; Christine Fennema-Notestine
Journal:  Neuroimage       Date:  2009-09-26       Impact factor: 6.556

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Authors:  George F Koob; Nora D Volkow
Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

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Authors:  S Ferrea; G Winterer
Journal:  Pharmacopsychiatry       Date:  2009-11-18       Impact factor: 5.788

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Review 2.  The genetic epidemiology of substance use disorder: A review.

Authors:  Elizabeth C Prom-Wormley; Jane Ebejer; Danielle M Dick; M Scott Bowers
Journal:  Drug Alcohol Depend       Date:  2017-08-01       Impact factor: 4.492

3.  Efficient genome-wide association in biobanks using topic modeling identifies multiple novel disease loci.

Authors:  Thomas H McCoy; Victor M Castro; Leslie A Snapper; Kamber L Hart; Roy H Perlis
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5.  Re-investigating the effects of chronic smoking on the pathology of alcohol-related human brain damage.

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Journal:  Alcohol       Date:  2018-07-11       Impact factor: 2.405

6.  Development and aging of cortical thickness correspond to genetic organization patterns.

Authors:  Anders M Fjell; Håkon Grydeland; Stine K Krogsrud; Inge Amlien; Darius A Rohani; Lia Ferschmann; Andreas B Storsve; Christian K Tamnes; Roser Sala-Llonch; Paulina Due-Tønnessen; Atle Bjørnerud; Anne Elisabeth Sølsnes; Asta K Håberg; Jon Skranes; Hauke Bartsch; Chi-Hua Chen; Wesley K Thompson; Matthew S Panizzon; William S Kremen; Anders M Dale; Kristine B Walhovd
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

7.  Gene-Environment Interactions and Stochastic Variations in the Gero-Exposome.

Authors:  Caleb E Finch; Amin Haghani
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-09-13       Impact factor: 6.053

8.  Long-term associations of cigarette smoking in early mid-life with predicted brain aging from mid- to late life.

Authors:  Nathan Whitsel; Chandra A Reynolds; Erik J Buchholz; Shandell Pahlen; Rahul C Pearce; Sean N Hatton; Jeremy A Elman; Nathan A Gillespie; Daniel E Gustavson; Olivia K Puckett; Anders M Dale; Lisa T Eyler; Christine Fennema-Notestine; Donald J Hagler; Richard L Hauger; Linda K McEvoy; Ruth McKenzie; Michael C Neale; Matthew S Panizzon; Mark Sanderson-Cimino; Rosemary Toomey; Xin M Tu; Mc Kenna E Williams; Tyler Bell; Hong Xian; Michael J Lyons; William S Kremen; Carol E Franz
Journal:  Addiction       Date:  2021-10-28       Impact factor: 6.526

9.  Brain Structure Alterations in Respect to Tobacco Consumption and Nicotine Dependence: A Comparative Voxel-Based Morphometry Study.

Authors:  Peng Peng; Min Li; Han Liu; Ya-Ru Tian; Shui-Lian Chu; Nicholas Van Halm-Lutterodt; Bin Jing; Tao Jiang
Journal:  Front Neuroanat       Date:  2018-05-24       Impact factor: 3.856

Review 10.  The utility of twins in developmental cognitive neuroscience research: How twins strengthen the ABCD research design.

Authors:  William G Iacono; Andrew C Heath; John K Hewitt; Michael C Neale; Marie T Banich; Monica M Luciana; Pamela A Madden; Deanna M Barch; James M Bjork
Journal:  Dev Cogn Neurosci       Date:  2017-09-12       Impact factor: 6.464

  10 in total

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