Literature DB >> 6685962

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

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

Abstract

A flexible method based on maximum likelihood theory is introduced for the analysis of binary response data in twins. The method allows for explanatory variables such as age and sex, is free of the untestable distributional assumption of bivariate normality of liability, and makes more efficient use of the data available. The method is illustrated with preliminary data on drinking status in adult twins. Although there is some bias in the ascertainment of male dizygous twins, the results suggest that monozygous twins are more concordant than dizygous twins for drinking status.

Mesh:

Year:  1983        PMID: 6685962     DOI: 10.1017/s0001566000006413

Source DB:  PubMed          Journal:  Acta Genet Med Gemellol (Roma)        ISSN: 0001-5660


  4 in total

1.  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

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

Authors:  M C Hannah; J L Hopper; J D Mathews
Journal:  Am J Hum Genet       Date:  1985-01       Impact factor: 11.025

3.  Familial and Genetic Influences on the Common Pediatric Primary Pain Disorders: A Twin Family Study.

Authors:  David Champion; Minh Bui; Aneeka Bott; Theresa Donnelly; Shuxiang Goh; Cindy Chapman; Daniel Lemberg; Tiina Jaaniste; John Hopper
Journal:  Children (Basel)       Date:  2021-01-28

4.  Genetic susceptibility to naevi--a twin study.

Authors:  D F Easton; G M Cox; A M Macdonald; B A Ponder
Journal:  Br J Cancer       Date:  1991-12       Impact factor: 7.640

  4 in total

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