Literature DB >> 17160500

The accuracy of statistical estimates in genetic studies of aging can be significantly improved.

Anatoli I Yashin1, Konstantin G Arbeev, Svetlana V Ukraintseva.   

Abstract

The sample size of the data used in genetic studies is often a factor limiting the accuracy of statistical estimates. In this paper we suggest a new approach to evaluation of genetic influence on risk of development of aging-related health disorders. The approach results in substantial improvement of the accuracy of statistical estimates without an increase in the size of the genetic sample. The approach is based on the joint analysis of data from the genetic samples and easily accessible non-genetic data, such as data collected in epidemiological, demographic, and longitudinal studies of human aging and aging-related pathologies.

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Mesh：

Year:  2006        PMID： 17160500      PMCID： PMC1995667          DOI： 10.1007/s10522-006-9072-4

Source DB:  PubMed          Journal:  Biogerontology        ISSN： 1389-5729            Impact factor:   4.277


  12 in total

Review 1.  Association study designs for complex diseases.

Authors:  L R Cardon; J I Bell
Journal:  Nat Rev Genet       Date:  2001-02       Impact factor: 53.242

2.  Genes, demography, and life span: the contribution of demographic data in genetic studies on aging and longevity.

Authors:  A I Yashin; G De Benedictis; J W Vaupel; Q Tan; K F Andreev; I A Iachine; M Bonafe; M DeLuca; S Valensin; L Carotenuto; C Franceschi
Journal:  Am J Hum Genet       Date:  1999-10       Impact factor: 11.025

3.  Association mapping in structured populations.

Authors:  J K Pritchard; M Stephens; N A Rosenberg; P Donnelly
Journal:  Am J Hum Genet       Date:  2000-05-26       Impact factor: 11.025

4.  Genes and longevity: lessons from studies of centenarians.

Authors:  A I Yashin; G De Benedictis; J W Vaupel; Q Tan; K F Andreev; I A Iachine; M Bonafe; S Valensin; M De Luca; L Carotenuto; C Franceschi
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2000-07       Impact factor: 6.053

5.  A centenarian-only approach for assessing gene-gene interaction in human longevity.

Authors:  Qihua Tan; Giovanna De Benedictis; Svetlana V Ukraintseva; Claudio Franceschi; James W Vaupel; Anatoli I Yashin
Journal:  Eur J Hum Genet       Date:  2002-02       Impact factor: 4.246

Review 6.  Genomic control, a new approach to genetic-based association studies.

Authors:  B Devlin; K Roeder; L Wasserman
Journal:  Theor Popul Biol       Date:  2001-11       Impact factor: 1.570

Review 7.  Recent advances in human gene-longevity association studies.

Authors:  G De Benedictis; Q Tan; B Jeune; K Christensen; S V Ukraintseva; M Bonafè; C Franceschi; J W Vaupel; A I Yashin
Journal:  Mech Ageing Dev       Date:  2001-07-15       Impact factor: 5.432

8.  Human genetics. Tackling common disease.

Authors:  J A Todd
Journal:  Nature       Date:  2001-05-31       Impact factor: 49.962

9.  Replication studies in longevity: puzzling findings in Danish centenarians at the 3'APOB-VNTR locus.

Authors:  O Varcasia; S Garasto; T Rizza; K Andersen-Ranberg; B Jeune; L Bathum; K Andreev; Q Tan; A I Yashin; M Bonafè; C Franceschi; G De Benedictis
Journal:  Ann Hum Genet       Date:  2001-07       Impact factor: 1.670

Review 10.  Methodological problems in genetic association studies of longevity--the apolipoprotein E gene as an example.

Authors:  Sarah J Lewis; Eric J Brunner
Journal:  Int J Epidemiol       Date:  2004-08-19       Impact factor: 7.196
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  7 in total

1.  Genetic Structures of Population Cohorts Change with Increasing Age: Implications for Genetic Analyses of Human aging and Life Span.

Authors:  Anatoliy I Yashin; Deqing Wu; Konstantin G Arbeev; Liubov S Arbeeva; Igor Akushevich; Alexander Kulminski; Irina Culminskaya; Eric Stallard; Svetlana V Ukraintseva
Journal:  Ann Gerontol Geriatr Res       Date:  2014

2.  Evaluation of genotype-specific survival using joint analysis of genetic and non-genetic subsamples of longitudinal data.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Liubov S Arbeeva; Igor Akushevich; Alexander M Kulminski; Anatoliy I Yashin
Journal:  Biogerontology       Date:  2010-12-31       Impact factor: 4.277

3.  How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Deqing Wu; Liubov Arbeeva; Alexander Kulminski; Irina Kulminskaya; Igor Akushevich; Svetlana V Ukraintseva
Journal:  N Am Actuar J       Date:  2016-06-22

Review 4.  How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Liubov S Arbeeva; Deqing Wu; Igor Akushevich; Mikhail Kovtun; Arseniy Yashkin; Alexander Kulminski; Irina Culminskaya; Eric Stallard; Miaozhu Li; Svetlana V Ukraintseva
Journal:  Biogerontology       Date:  2015-08-18       Impact factor: 4.277

5.  Genetic model for longitudinal studies of aging, health, and longevity and its potential application to incomplete data.

Authors:  Konstantin G Arbeev; Igor Akushevich; Alexander M Kulminski; Liubov S Arbeeva; Lucy Akushevich; Svetlana V Ukraintseva; Irina V Culminskaya; Anatoli I Yashin
Journal:  J Theor Biol       Date:  2009-02-04       Impact factor: 2.691

6.  Detecting genes contributing to longevity using twin data.

Authors:  Alexander Begun
Journal:  Hum Genomics       Date:  2009-12       Impact factor: 4.639

7.  Genetics of aging, health, and survival: dynamic regulation of human longevity related traits.

Authors:  Anatoliy I Yashin; Deqing Wu; Liubov S Arbeeva; Konstantin G Arbeev; Alexander M Kulminski; Igor Akushevich; Mikhail Kovtun; Irina Culminskaya; Eric Stallard; Miaozhu Li; Svetlana V Ukraintseva
Journal:  Front Genet       Date:  2015-04-13       Impact factor: 4.599
  7 in total

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