Literature DB >> 4038848

Twin concordance for a binary trait. II. Nested analysis of ever-smoking and ex-smoking traits and unnested analysis of a "committed-smoking" trait.

M C Hannah, J L Hopper, J D Mathews.   

Abstract

Twin concordance rates for a binary trait can provide information about causes of trait variation. However, if trait prevalence varies with age (or birth cohort) or between the sexes, trait concordance rates will be artificially inflated because of the matching within pairs of twins. Our previous paper showed how to minimize the effects of such confounding by using logistic regression to model trait prevalence as a function of age and sex and that the binary correlation coefficient was useful as a measure of concordance that can be adjusted for trait prevalence. This method is extended here to allow for nested analyses and is applied to the smoking habits of a sample of 3,807 pairs of adult twins. For monozygotic (MZ) twins, the correlation coefficients for the binary trait of "ever-smoking" (males: .50 +/- .04; females: .60 +/- .02) were significantly greater than for dizygotic (DZ) twins (males: .37 +/- .05; females: .31 +/- .04; unlike-sex pairs: .21 +/- .03). For "giving-up smoking," given that both twins were previously smokers, the correlations for MZ twins (males: .37 +/- .07; females: .29 +/- .05) were also greater than for DZ twins (males: .11 +/- .09; females: .26 +/- .08; unlike-sex pairs: .13 +/- .06), although the difference was not statistically significant for females. Current smokers who had been smoking for at least 10 years were arbitrarily defined as "committed-smokers." The binary trait of "committed-smoking" was more strongly correlated in MZ twins (males: .41 +/- .06; females: .41 +/- .04) than in DZ twins (males: .22 +/- .08; females: .18 +/- .05; unlike-sex pairs: .16 +/- .05). These observations suggest that as well as depending on socially determined environmental factors, smoking behavior is influenced by genetic factors and/or by environmental factors unique to the MZ twin environment, which are of particular importance as determinants of "committed-smoking." There is a need for further research to investigate the personal characteristics of "committed-smokers" and to seek intervention strategies that are more suited to the needs of individual smokers.

Mesh:

Year:  1985        PMID: 4038848      PMCID: PMC1684533     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  10 in total

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Journal:  Am J Hum Genet       Date:  1974-07       Impact factor: 11.025

3.  Characteristics of smokers and nonsmokers in Tecumseh, Michigan. I. The distribution of smoking habits in persons and families and their relationship to social characteristics.

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Journal:  Am J Epidemiol       Date:  1967-07       Impact factor: 4.897

4.  The genetical relationship of impulsiveness and sensation seeking to Eysenck's personality dimensions.

Authors:  N G Martin; L J Eaves; D W Fulker
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1979

5.  Extensions to multivariate normal models for pedigree analysis.

Authors:  J L Hopper; J D Mathews
Journal:  Ann Hum Genet       Date:  1982-10       Impact factor: 1.670

6.  Twin concordance for a binary trait. I. Statistical models illustrated with data on drinking status.

Authors:  M C Hannah; J L Hopper; J D Mathews
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1983

7.  Cigarette smoking and alcohol use in Finland and Sweden: a cross-national twin study.

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Journal:  Int J Epidemiol       Date:  1982-12       Impact factor: 7.196

8.  Cigarette smoking and drug use in schoolchildren. II. Factors associated with smoking.

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Journal:  Int J Epidemiol       Date:  1981-09       Impact factor: 7.196

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Journal:  Br J Prev Soc Med       Date:  1976-06

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Authors:  C D Spielberger; G A Jacobs
Journal:  J Pers Assess       Date:  1982-08
  10 in total
  10 in total

Review 1.  Genetics and pulmonary medicine.10: Genetic epidemiology of pulmonary function.

Authors:  Y Chen
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Journal:  Behav Genet       Date:  1987-07       Impact factor: 2.805

4.  Personality and the inheritance of smoking behavior: a genetic perspective.

Authors:  A C Heath; P A Madden; W S Slutske; N G Martin
Journal:  Behav Genet       Date:  1995-03       Impact factor: 2.805

5.  Logistic regression analysis of twin data: estimation of parameters of the multifactorial liability-threshold model.

Authors:  P C Sham; E E Walters; M C Neale; A C Heath; C J MacLean; K S Kendler
Journal:  Behav Genet       Date:  1994-05       Impact factor: 2.805

Review 6.  Personality, psychopathology, and nicotine response as mediators of the genetics of smoking.

Authors:  D G Gilbert; B O Gilbert
Journal:  Behav Genet       Date:  1995-03       Impact factor: 2.805

Review 7.  Individual differences in sensitivity to nicotine: implications for genetic research on nicotine dependence.

Authors:  O F Pomerleau
Journal:  Behav Genet       Date:  1995-03       Impact factor: 2.805

8.  A generalized Defries-Fulker regression framework for the analysis of twin data.

Authors:  Laura C Lazzeroni; Amrita Ray
Journal:  Behav Genet       Date:  2012-12-20       Impact factor: 2.805

9.  Gene by Environment Investigation of Incident Lung Cancer Risk in African-Americans.

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Journal:  EBioMedicine       Date:  2016-01-11       Impact factor: 8.143

Review 10.  The endocannabinoid system: a new molecular target for the treatment of tobacco addiction.

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  10 in total

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