Literature DB >> 18714083

Gamma frailty model for linkage analysis with application to interval-censored migraine data.

M A Jonker1, S Bhulai, D I Boomsma, R S L Ligthart, D Posthuma, A W Van der Vaart.   

Abstract

For many diseases, it seems that the age at onset is genetically influenced. Therefore, the age-at-onset data are often collected in order to map the disease gene(s). The ages are often (right) censored or truncated, and therefore, many standard techniques for linkage analysis cannot be used. In this paper, we present a correlated frailty model for censored survival data of siblings. The model is used for testing heritability for the age at onset and linkage between the loci and the gene(s) that influence(s) the survival time. The model is applied to interval-censored migraine twin data. Heritability (obtained from the frailties rather than actual onset times) was estimated as 0.42; this value was highly significant. The highest lod score, a score of 1.9, was found at the end of chromosome 19.

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Year:  2008        PMID: 18714083     DOI: 10.1093/biostatistics/kxn027

Source DB:  PubMed          Journal:  Biostatistics        ISSN: 1465-4644            Impact factor:   5.899


  3 in total

1.  A frailty model for (interval) censored family survival data, applied to the age at onset of non-physical problems.

Authors:  M A Jonker; D I Boomsma
Journal:  Lifetime Data Anal       Date:  2009-11-25       Impact factor: 1.588

2.  Robust age at onset linkage analysis in nuclear families.

Authors:  Andrea Callegaro; J C van Houwelingen; J J Houwing-Duistermaat
Journal:  Hum Hered       Date:  2009-12-04       Impact factor: 0.444

3.  New score tests for age-at-onset linkage analysis in general pedigrees.

Authors:  Andrea Callegaro; Hae-Won Uh; Quinta Helmer; Jeanine J Houwing-Duistermaat
Journal:  BMC Proc       Date:  2009-12-15
  3 in total

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