Literature DB >> 2757029

Analyzing the relationship between age at onset and risk to relatives.

M C Neale1, L J Eaves, J K Hewitt, C J MacLean, J M Meyer, K S Kendler.   

Abstract

Correlations in age at onset between relatives affect risk to relatives of a given age. Either an increase or a decrease in risk may be observed for a relative of a proband, according to whether there is a causal relationship between liability to disease and age at onset. Likelihood formulas are given for pairs of relatives under a number of different sampling schemes, and it is shown how data collected from relatives enable maximum-likelihood estimation of parameters of a linear model relating disease liability and age at onset. A genotype-environment extension of this model was fitted to data on age at onset for schizophrenia that were obtained from the National Academy of Sciences-National Research Council Twin Registry. Age at onset is correlated between twins, but this correlation appears to be associated with factors that are separate from those which affect liability to disease. However, even this relatively large sample of twins is too small to draw firm conclusions about any causal relationship between disease liability and onset.

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Year:  1989        PMID: 2757029      PMCID: PMC1683360     

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


  29 in total

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Authors:  M C Neale
Journal:  Behav Genet       Date:  1988-01       Impact factor: 2.805

2.  Testing structural equation models for twin data using LISREL.

Authors:  A C Heath; M C Neale; J K Hewitt; L J Eaves; D W Fulker
Journal:  Behav Genet       Date:  1989-01       Impact factor: 2.805

3.  Bias in correlations from selected samples of relatives: the effects of soft selection.

Authors:  M C Neale; L J Eaves; K S Kendler; J K Hewitt
Journal:  Behav Genet       Date:  1989-03       Impact factor: 2.805

4.  Estimating genetic parameters of survival distributions: a multifactorial model.

Authors:  J M Meyer; L J Eaves
Journal:  Genet Epidemiol       Date:  1988       Impact factor: 2.135

5.  A genetic study of human breast cancer.

Authors:  D E Anderson
Journal:  J Natl Cancer Inst       Date:  1972-04       Impact factor: 13.506

6.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

7.  Comparison of the biometrical genetical, MAVA, and classical approaches to the analysis of human behavior.

Authors:  J L Jinks; D W Fulker
Journal:  Psychol Bull       Date:  1970-05       Impact factor: 17.737

Review 8.  Nonrandom sampling in genetic epidemiology: maximum likelihood methods for multifactorial analysis of quantitative data ascertained through truncation.

Authors:  D C Rao; R Wette
Journal:  Genet Epidemiol       Date:  1987       Impact factor: 2.135

Review 9.  Age at onset in schizophrenia. A familial perspective.

Authors:  K S Kendler; M T Tsuang; P Hays
Journal:  Arch Gen Psychiatry       Date:  1987-10

10.  The NAS-NRC twin panel: methods of construction of the panel, zygosity diagnosis, and proposed use.

Authors:  S Jablon; J V Neel; H Gershowitz; G F Atkinson
Journal:  Am J Hum Genet       Date:  1967-03       Impact factor: 11.025

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  6 in total

1.  Appendectomy in Australian twins.

Authors:  D L Duffy; N G Martin; J D Mathews
Journal:  Am J Hum Genet       Date:  1990-09       Impact factor: 11.025

2.  The relationship between age at first drug use and teenage drug use liability.

Authors:  J M Meyer; M C Neale
Journal:  Behav Genet       Date:  1992-03       Impact factor: 2.805

3.  Models of comorbidity for multifactorial disorders.

Authors:  M C Neale; K S Kendler
Journal:  Am J Hum Genet       Date:  1995-10       Impact factor: 11.025

4.  Analyzing twin resemblance in multisymptom data: genetic applications of a latent class model for symptoms of conduct disorder in juvenile boys.

Authors:  L J Eaves; J L Silberg; J K Hewitt; M Rutter; J M Meyer; M C Neale; A Pickles
Journal:  Behav Genet       Date:  1993-01       Impact factor: 2.805

5.  A simple method for censored age-of-onset data subject to recall bias: mothers' reports of age of puberty in male twins.

Authors:  A Pickles; M Neale; E Simonoff; M Rutter; J Hewitt; J Meyer; R Crouchley; J Silberg; L Eaves
Journal:  Behav Genet       Date:  1994-09       Impact factor: 2.805

Review 6.  How frailty models can be used for evaluating longevity limits: taking advantage of an interdisciplinary approach.

Authors:  A I Yashin; I A Iachine
Journal:  Demography       Date:  1997-02
  6 in total

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