Literature DB >> 15461196

Apolipoprotein E genotype frequency patterns in aged Danes as revealed by logistic regression models.

Qihua Tan1, Lene Christiansen, Kaare Christensen, Torben A Kruse, Lise Bathum.   

Abstract

Although the ApoE gene has been intensively studied in aging research, most of the studies conducted so far have been based on the traditional case-control design with subjects consisting of young controls and long-lived cases. The genotype frequency pattern in and between the two age-groups has been rarely investigated due to limitations in either research design or data analytical method. In this study, we genotyped 748 individuals (including both twin pairs and unrelated individuals) aged from 73 to 95 with aim at examining the genotype frequency trajectory of ApoE gene at high ages. Binomial and multinomial logistic regression models have been applied to model the gene frequency as a function of age and to investigate the modes of gene function (dominant, recessive, additive). The generalized estimation equations (GEEs) are introduced to account for the intra-pair genotype correlation in the twin pairs included in the data. Both the observed and the fitted frequencies show a constantly declining pattern of ApoE epsilon4 allele as age advances indicating a significant and steadily deleterious effect of the dominant allele that increases the hazard of death at high ages.

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Year:  2004        PMID: 15461196     DOI: 10.1023/b:ejep.0000036784.64143.26

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  27 in total

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Authors:  K Christensen; N V Holm; M McGue; L Corder; J W Vaupel
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4.  Measuring the genetic influence in modulating the human life span: gene-environment interaction and the sex-specific genetic effect.

Authors:  Q Tan; G De Benedictis; A I Yashi; M Bonafe; M DeLuca; S Valensin; J W Vaupel; C Franceschi
Journal:  Biogerontology       Date:  2001       Impact factor: 4.277

5.  A logistic regression model for measuring gene-longevity associations.

Authors:  Q Tan; A I Yashin; G De Benedictis; F Cintolesi; G Rose; M Bonafe; C Franceschi; W Vach; J W Vaupel
Journal:  Clin Genet       Date:  2001-12       Impact factor: 4.438

6.  Logistic regression models for polymorphic and antagonistic pleiotropic gene action on human aging and longevity.

Authors:  Qihua Tan; L Bathum; L Christiansen; G De Benedictis; J Dahlgaard; N Frizner; W Vach; J W Vaupel; A I Yashin; K Christensen; T A Kruse
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7.  Effects of age at onset on the power of the affected sib pair and transmission/disequilibrium tests.

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8.  Longitudinal data analysis for discrete and continuous outcomes.

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9.  ApoE and ACE genes: impact on human longevity.

Authors:  F M van Bockxmeer
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10.  Apolipoprotein E and longevity among Han Chinese population.

Authors:  Z Jian-Gang; M Yong-Xing; W Chuan-Fu; L Pei-Fang; Z Song-Bai; G Nui-Fan; F Guo-Yin; H Lin
Journal:  Mech Ageing Dev       Date:  1998-08-14       Impact factor: 5.432

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  7 in total

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Journal:  Age (Dordr)       Date:  2012-01-12

2.  Analyzing age-specific genetic effects on human extreme age survival in cohort-based longitudinal studies.

Authors:  Qihua Tan; Rune Jacobsen; Mette Sørensen; Lene Christiansen; Torben A Kruse; Kaare Christensen
Journal:  Eur J Hum Genet       Date:  2012-08-15       Impact factor: 4.246

3.  Differential and correlation analyses of microarray gene expression data in the CEPH Utah families.

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Journal:  Genomics       Date:  2008-06-02       Impact factor: 5.736

4.  Power assessment for genetic association study of human longevity using offspring of long-lived subjects.

Authors:  Qihua Tan; Jing Hua Zhao; Shuxia Li; Torben A Kruse; Kaare Christensen
Journal:  Eur J Epidemiol       Date:  2010-05-29       Impact factor: 8.082

5.  Apolipoprotein E and familial longevity.

Authors:  Nicole Schupf; Sandra Barral; Thomas Perls; Anne Newman; Kaare Christensen; Bharat Thyagarajan; Michael Province; Winifred K Rossi; Richard Mayeux
Journal:  Neurobiol Aging       Date:  2012-10-05       Impact factor: 4.673

6.  Cohort Differences in the Associations of Selected Candidate Genes With Risk of All-Cause Mortality at Advanced Ages.

Authors:  Qihua Tan; Rune Jacobsen; Marianne Nygaard; Mette Soerensen; Jonas Mengel-From; Lene Christiansen; Kaare Christensen
Journal:  Am J Epidemiol       Date:  2020-07-01       Impact factor: 4.897

Review 7.  The three genetics (nuclear DNA, mitochondrial DNA, and gut microbiome) of longevity in humans considered as metaorganisms.

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Journal:  Biomed Res Int       Date:  2014-04-24       Impact factor: 3.411

  7 in total

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