Abstract:
:The logistic regression model is a popular model for data analysis in epidemiological research. In this paper, we use this model to analyze genetic data collected from gene-longevity association studies. This new approach models the probability of observing one genotype as a function of the age of investigated individuals. Applying the model to genotype data on the TH and 3'ApoB-VNTR loci collected from an Italian centenarian study, we show how it can be used to model the different ways that genes affect survival, including sex- and age-specific influences. We highlight the advantages of this application over other available models. The application of the model to empirical data indicates that it is an efficient and easily applicable approach for determining the influences of genes on human longevity.
journal_name
Clin Genetjournal_title
Clinical geneticsauthors
Tan Q,Yashin AI,De Benedictis G,Cintolesi F,Rose G,Bonafe M,Franceschi C,Vach W,Vaupel JWdoi
10.1034/j.1399-0004.2001.600610.xsubject
Has Abstractpub_date
2001-12-01 00:00:00pages
463-9issue
6eissn
0009-9163issn
1399-0004pii
600610journal_volume
60pub_type
杂志文章abstract::The von Hippel Lindau (VHL) syndrome is an inherited multi-tumour disorder characterised by clinical heterogeneity and high penetrance. The VHL gene has been shown to be a tumour-suppressor gene. A carrier of a germline mutation will be predisposed to a high variety of benign and malign tumours affecting different org...
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