Literature DB >> 19996606

Robust age at onset linkage analysis in nuclear families.

Andrea Callegaro1, J C van Houwelingen, J J Houwing-Duistermaat.   

Abstract

OBJECTIVE: Standard methods for linkage analysis ignore the phenotype of the parents when they are not genotyped. However, this information can be useful for gene mapping. In this paper we propose methods for age at onset genetic linkage analysis in sibling pairs, taking into account parental age at onset.
METHODS: Two new score statistics are derived, one from an additive gamma frailty model and one from a log-normal frailty model. The score statistics are classical non-parametric linkage (NPL) statistics weighted by a function of the age at onset of the four family members. The weight depends on information from registries (age-specific incidences) and family studies (sib-sib and father-mother correlation).
RESULTS: In order to investigate how age at onset of sibs and their parents affect the information for linkage analysis the weight functions were studied for rare and common disease models, realistic models for breast cancer and human lifespan. We studied the performance of the weighted NPL methods by simulations. As illustration, the score statistics were applied to the GAW12 data. The results show that it is useful to include parental age at onset information in genetic linkage analysis. Copyright 2009 S. Karger AG, Basel.

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Mesh:

Year:  2009        PMID: 19996606      PMCID: PMC2956010          DOI: 10.1159/000264446

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  25 in total

1.  GAW12: simulated genome scan, sequence, and family data for a common disease.

Authors:  L Almasy; J D Terwilliger; D Nielsen; T D Dyer; D Zaykin; J Blangero
Journal:  Genet Epidemiol       Date:  2001       Impact factor: 2.135

2.  A bivariate frailty model with a cure fraction for modeling familial correlations in diseases.

Authors:  Andreas Wienke; Paul Lichtenstein; Anatoli I Yashin
Journal:  Biometrics       Date:  2003-12       Impact factor: 2.571

Review 3.  Frailty modelling for the excess hazard.

Authors:  P H Zahl
Journal:  Stat Med       Date:  1997-07-30       Impact factor: 2.373

4.  Random-effects Cox proportional hazards model: general variance components methods for time-to-event data.

Authors:  V Shane Pankratz; Mariza de Andrade; Terry M Therneau
Journal:  Genet Epidemiol       Date:  2005-02       Impact factor: 2.135

5.  Appropriate use of information on family history of disease in recruitment for linkage analysis studies.

Authors:  C Wallace; D G Clayton
Journal:  Ann Hum Genet       Date:  2006-05       Impact factor: 1.670

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

Authors:  M A Jonker; S Bhulai; D I Boomsma; R S L Ligthart; D Posthuma; A W Van der Vaart
Journal:  Biostatistics       Date:  2008-08-19       Impact factor: 5.899

7.  Genome scanning for linkage: an overview.

Authors:  A S Whittemore
Journal:  Am J Hum Genet       Date:  1996-09       Impact factor: 11.025

8.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

9.  Robust genetic linkage analysis based on a score test of homogeneity: the weighted pairwise correlation statistic.

Authors:  D Commenges
Journal:  Genet Epidemiol       Date:  1994       Impact factor: 2.135

10.  Chromosome 4q25, microsomal transfer protein gene, and human longevity: novel data and a meta-analysis of association studies.

Authors:  Marian Beekman; Gerard Jan Blauw; Jeanine J Houwing-Duistermaat; Bernd W Brandt; Rudi G J Westendorp; P Eline Slagboom
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2006-04       Impact factor: 6.053

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