Literature DB >> 21115529

Genetics and genomics of human ageing.

Heather E Wheeler1, Stuart K Kim.   

Abstract

Ageing in humans is typified by the decline of physiological functions in various organs and tissues leading to an increased probability of death. Some individuals delay, escape or survive much of this age-related decline and live past age 100. Studies comparing centenarians to average-aged individuals have found polymorphisms in genes that are associated with long life, including APOE and FOXOA3, which have been replicated many times. However, the associations found in humans account for small percentages of the variance in lifespan and many other gene associations have not been replicated in additional populations. Therefore, ageing is probably a highly polygenic trait. In humans, it is important to also consider differences in age-related decline that occur within and among tissues. Longitudinal data of age-related traits can be used in association studies to test for polymorphisms that predict how an individual will change over time. Transcriptional and genetic association studies of different tissues have revealed common and unique pathways involved in human ageing. Genomic convergence is a method that combines multiple types of functional genomic information such as transcriptional profiling, expression quantitative trait mapping and gene association. The genomic convergence approach has been used to implicate the gene MMP20 in human kidney ageing. New human genetics technologies are continually in development and may lead to additional breakthroughs in human ageing in the near future.

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Year:  2011        PMID: 21115529      PMCID: PMC3001305          DOI: 10.1098/rstb.2010.0259

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  80 in total

1.  Aging: a theory based on free radical and radiation chemistry.

Authors:  D HARMAN
Journal:  J Gerontol       Date:  1956-07

2.  Single-molecule sequencing of an individual human genome.

Authors:  Dmitry Pushkarev; Norma F Neff; Stephen R Quake
Journal:  Nat Biotechnol       Date:  2009-08-10       Impact factor: 54.908

3.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

4.  Towards understanding the schizophrenia code: an expanded convergent functional genomics approach.

Authors:  H Le-Niculescu; Y Balaraman; S Patel; J Tan; K Sidhu; R E Jerome; H J Edenberg; R Kuczenski; M A Geyer; J I Nurnberger; S V Faraone; M T Tsuang; A B Niculescu
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2007-03-05       Impact factor: 3.568

5.  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

6.  Cholesterol as a risk factor for coronary heart disease in elderly men. The Baltimore Longitudinal Study of Aging.

Authors:  J D Sorkin; R Andres; D C Muller; H L Baldwin; J L Fleg
Journal:  Ann Epidemiol       Date:  1992 Jan-Mar       Impact factor: 3.797

7.  Skeletal muscle gene expression profiles in 20-29 year old and 65-71 year old women.

Authors:  Stephen Welle; Andrew I Brooks; Joseph M Delehanty; Nancy Needler; Kirti Bhatt; Bharati Shah; Charles A Thornton
Journal:  Exp Gerontol       Date:  2004-03       Impact factor: 4.032

8.  Transcriptional profiling of aging in human muscle reveals a common aging signature.

Authors:  Jacob M Zahn; Rebecca Sonu; Hannes Vogel; Emily Crane; Krystyna Mazan-Mamczarz; Ralph Rabkin; Ronald W Davis; Kevin G Becker; Art B Owen; Stuart K Kim
Journal:  PLoS Genet       Date:  2006-06-09       Impact factor: 5.917

9.  Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits.

Authors:  Angelo Scuteri; Serena Sanna; Wei-Min Chen; Manuela Uda; Giuseppe Albai; James Strait; Samer Najjar; Ramaiah Nagaraja; Marco Orrú; Gianluca Usala; Mariano Dei; Sandra Lai; Andrea Maschio; Fabio Busonero; Antonella Mulas; Georg B Ehret; Ashley A Fink; Alan B Weder; Richard S Cooper; Pilar Galan; Aravinda Chakravarti; David Schlessinger; Antonio Cao; Edward Lakatta; Gonçalo R Abecasis
Journal:  PLoS Genet       Date:  2007-07       Impact factor: 5.917

10.  A genome-wide association study identifies protein quantitative trait loci (pQTLs).

Authors:  David Melzer; John R B Perry; Dena Hernandez; Anna-Maria Corsi; Kara Stevens; Ian Rafferty; Fulvio Lauretani; Anna Murray; J Raphael Gibbs; Giuseppe Paolisso; Sajjad Rafiq; Javier Simon-Sanchez; Hana Lango; Sonja Scholz; Michael N Weedon; Sampath Arepalli; Neil Rice; Nicole Washecka; Alison Hurst; Angela Britton; William Henley; Joyce van de Leemput; Rongling Li; Anne B Newman; Greg Tranah; Tamara Harris; Vijay Panicker; Colin Dayan; Amanda Bennett; Mark I McCarthy; Aimo Ruokonen; Marjo-Riitta Jarvelin; Jack Guralnik; Stefania Bandinelli; Timothy M Frayling; Andrew Singleton; Luigi Ferrucci
Journal:  PLoS Genet       Date:  2008-05-09       Impact factor: 5.917

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  29 in total

1.  The new science of ageing.

Authors:  Linda Partridge; Janet Thornton; Gillian Bates
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-01-12       Impact factor: 6.237

Review 2.  The Emergence of Geroscience as an Interdisciplinary Approach to the Enhancement of Health Span and Life Span.

Authors:  Felipe Sierra
Journal:  Cold Spring Harb Perspect Med       Date:  2016-04-01       Impact factor: 6.915

3.  Distinct DNA methylomes of newborns and centenarians.

Authors:  Holger Heyn; Ning Li; Humberto J Ferreira; Sebastian Moran; David G Pisano; Antonio Gomez; Javier Diez; Jose V Sanchez-Mut; Fernando Setien; F Javier Carmona; Annibale A Puca; Sergi Sayols; Miguel A Pujana; Jordi Serra-Musach; Isabel Iglesias-Platas; Francesc Formiga; Agustin F Fernandez; Mario F Fraga; Simon C Heath; Alfonso Valencia; Ivo G Gut; Jun Wang; Manel Esteller
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-11       Impact factor: 11.205

4.  Matrix Metalloproteinase 20 Co-expression With Dentin Sialophosphoprotein in Human and Monkey Kidneys.

Authors:  Kalu U E Ogbureke; Komal Koli; Geetu Saxena
Journal:  J Histochem Cytochem       Date:  2016-10       Impact factor: 2.479

5.  The Deubiquitylase MATH-33 Controls DAF-16 Stability and Function in Metabolism and Longevity.

Authors:  Thomas Heimbucher; Zheng Liu; Carine Bossard; Richard McCloskey; Andrea C Carrano; Christian G Riedel; Bogdan Tanasa; Christian Klammt; Bryan R Fonslow; Celine E Riera; Bjorn F Lillemeier; Kenneth Kemphues; John R Yates; Clodagh O'Shea; Tony Hunter; Andrew Dillin
Journal:  Cell Metab       Date:  2015-07-07       Impact factor: 27.287

6.  Enhanced eNOS Activation as the Fountain of Youth for Vascular Disease: Is BPIFB4 What Ponce de León Was Looking For?

Authors:  Jan R Kraehling; William C Sessa
Journal:  Circ Res       Date:  2015-07-31       Impact factor: 17.367

7.  The C. elegans Ortholog of USP7 controls DAF-16 stability in Insulin/IGF-1-like signaling.

Authors:  Thomas Heimbucher; Tony Hunter
Journal:  Worm       Date:  2015-11-17

Review 8.  The Genetics of Aging: A Vertebrate Perspective.

Authors:  Param Priya Singh; Brittany A Demmitt; Ravi D Nath; Anne Brunet
Journal:  Cell       Date:  2019-03-21       Impact factor: 41.582

9.  The genetic pleiotropy of musculoskeletal aging.

Authors:  David Karasik; Miri Cohen-Zinder
Journal:  Front Physiol       Date:  2012-08-08       Impact factor: 4.566

10.  The determination of genetic markers of age-related cancer pathologies in populations from Kazakhstan.

Authors:  Leyla B Djansugurova; Anastassiya V Perfilyeva; Gulnur S Zhunusova; Kira B Djantaeva; Olzhas A Iksan; Elmira M Khussainova
Journal:  Front Genet       Date:  2013-05-02       Impact factor: 4.599

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