Literature DB >> 8557185

Genetic analysis of durations: correlated frailty model applied to survival of Danish twins.

A I Yashin1, I A Iachine.   

Abstract

Population studies of changes in human morbidity and mortality require models which take into account the influence of genetic and environmental factors on life-related durations, such as age at onset of the disease or disability, age at death, etc. In this paper we show how a bivariate survival model based on the concept of correlated individual frailty can be used for the genetic analysis of durations. Six genetic models of frailty are considered and applied to Danish twin survival data. The results of statistical analysis allow us to conclude that at least 50% of variability in individual frailty is determined by environmental factors. The approach suggests a method of estimation of the lower bound for the biological limit of human longevity. Directions for further research are discussed.

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Year:  1995        PMID: 8557185     DOI: 10.1002/gepi.1370120510

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  12 in total

1.  Maximum likelihood inference for multivariate frailty models using an automated Monte Carlo EM algorithm.

Authors:  Samuli Ripatti; Klaus Larsen; Juni Palmgren
Journal:  Lifetime Data Anal       Date:  2002-12       Impact factor: 1.588

2.  Longevity and correlated frailty in multigenerational families.

Authors:  Gilda Garibotti; Ken R Smith; Richard A Kerber; Kenneth M Boucher
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2006-12       Impact factor: 6.053

Review 3.  Disentangling the genetic determinants of human aging: biological age as an alternative to the use of survival measures.

Authors:  David Karasik; Serkalem Demissie; L Adrienne Cupples; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-05       Impact factor: 6.053

4.  17th IHIW component "Immunogenetics of Ageing" - New NGS data.

Authors:  Milena Ivanova; Lisa E Creary; Bushra Al Hadra; Tsvetelin Lukanov; Michela Mazzocco; Nicoletta Sacchi; Reem Ameen; Salem Al-Shemmari; Ana Moise; Larisa Denisa Ursu; Ileana Constantinescu; Tamara Vayntrub; Marcelo A Fernández-Viňa; Velizar Shivarov; Elissaveta Naumova
Journal:  Hum Immunol       Date:  2019-07-20       Impact factor: 2.850

5.  Risk prediction of complex diseases from family history and known susceptibility loci, with applications for cancer screening.

Authors:  Hon-Cheong So; Johnny S H Kwan; Stacey S Cherny; Pak C Sham
Journal:  Am J Hum Genet       Date:  2011-04-28       Impact factor: 11.025

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

7.  The heritability of human longevity: a population-based study of 2872 Danish twin pairs born 1870-1900.

Authors:  A M Herskind; M McGue; N V Holm; T I Sørensen; B Harvald; J W Vaupel
Journal:  Hum Genet       Date:  1996-03       Impact factor: 4.132

Review 8.  Insights from comparative analyses of aging in birds and mammals.

Authors:  Robert E Ricklefs
Journal:  Aging Cell       Date:  2009-12-23       Impact factor: 9.304

9.  Survival Models on Unobserved Heterogeneity and their Applications in Analyzing Large-scale Survey Data.

Authors:  Xian Liu
Journal:  J Biom Biostat       Date:  2014

10.  A competing risks model with binary time varying covariates for estimation of breast cancer risks in BRCA1 families.

Authors:  Yun-Hee Choi; Hae Jung; Saundra Buys; Mary Daly; Esther M John; John Hopper; Irene Andrulis; Mary Beth Terry; Laurent Briollais
Journal:  Stat Methods Med Res       Date:  2021-07-07       Impact factor: 3.021

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