Literature DB >> 25916588

GWAS and Meta-Analysis in Aging/Longevity.

Linda Broer1, Cornelia M van Duijn.   

Abstract

Longevity is an extremely complex phenotype that is determined by environment, life style and genetics. Genome wide association studies (GWAS) have been a powerful tool to identify the genetic origin of other complex outcome with a similar heritability. In this chapter we discuss the findings all GWAS of longevity conducted to date. Various cut-off to define longevity have been used varying from 85+, 90+ and 100+ years and the impact of these difference are addressed in this chapter. The only consistent association emerging from GWAS to data is the APOE gene that has been already identified as a candidate gene. Although (GWAS) have identified biologically plausible genes and pathways, no new loci for longevity have been conclusively proven. A reason for not finding any replicated associations for longevity could be the complexity of the phenotype, although heterogeneity also underlies many other traits for which GWAS has been successful. One may argue that rare variants explain the high heritability of longevity and the segregation of the trait in families. Yet, whole genome analyses of GWAS data still suggest that over 80 % of the heritability is explained by common variants. Although findings of GWAS to date have been disappointing, there is ample opportunity to improve the statistical power of studies to find common variants with small effects. In the near future, joining of the published studies and new ones emerging may bring to surface new loci.

Entities:  

Mesh:

Year:  2015        PMID: 25916588     DOI: 10.1007/978-1-4939-2404-2_5

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  13 in total

Review 1.  Limitations and risks of meta-analyses of longevity studies.

Authors:  Paola Sebastiani; Harold Bae; Anastasia Gurinovich; Mette Soerensen; Annibale Puca; Thomas T Perls
Journal:  Mech Ageing Dev       Date:  2017-01-28       Impact factor: 5.432

2.  Four Genome-Wide Association Studies Identify New Extreme Longevity Variants.

Authors:  Paola Sebastiani; Anastasia Gurinovich; Harold Bae; Stacy Andersen; Alberto Malovini; Gil Atzmon; Francesco Villa; Aldi T Kraja; Danny Ben-Avraham; Nir Barzilai; Annibale Puca; Thomas T Perls
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-10-12       Impact factor: 6.053

Review 3.  Influence of anaerobic and aerobic exercise on age-related pathways in skeletal muscle.

Authors:  Ignacio Navas-Enamorado; Michel Bernier; Gloria Brea-Calvo; Rafael de Cabo
Journal:  Ageing Res Rev       Date:  2017-05-06       Impact factor: 10.895

Review 4.  Genetic Support for Longevity-Enhancing Drug Targets: Issues, Preliminary Data, and Future Directions.

Authors:  Jamison McCorrison; Thomas Girke; Laura H Goetz; Richard A Miller; Nicholas J Schork
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-11-13       Impact factor: 6.053

5.  No Association between Variation in Longevity Candidate Genes and Aging-related Phenotypes in Oldest-old Danes.

Authors:  Mette Soerensen; Marianne Nygaard; Birgit Debrabant; Jonas Mengel-From; Serena Dato; Mikael Thinggaard; Kaare Christensen; Lene Christiansen
Journal:  Exp Gerontol       Date:  2016-03-03       Impact factor: 4.032

6.  Apolipoprotein E isotype-dependent modulation of microRNA-146a in plasma and brain.

Authors:  Bruce Teter; Mary Jo LaDu; Patrick M Sullivan; Sally A Frautschy; Greg M Cole
Journal:  Neuroreport       Date:  2016-08-03       Impact factor: 1.837

Review 7.  Recent insights into the cellular and molecular determinants of aging.

Authors:  Linhao Ruan; Xi Zhang; Rong Li
Journal:  J Cell Sci       Date:  2018-02-02       Impact factor: 5.235

8.  Genetic variants determining survival and fertility in an adverse African environment: a population-based large-scale candidate gene association study.

Authors:  Jacob J E Koopman; Jeroen Pijpe; Stefan Böhringer; David van Bodegom; Ulrika K Eriksson; Hernando Sanchez-Faddeev; Juventus B Ziem; Bas Zwaan; P Eline Slagboom; Peter de Knijff; Rudi G J Westendorp
Journal:  Aging (Albany NY)       Date:  2016-07       Impact factor: 5.682

Review 9.  Genomic Approach to Understand the Association of DNA Repair with Longevity and Healthy Aging Using Genomic Databases of Oldest-Old Population.

Authors:  Yeo Jin Kim; Hyun Soo Kim; Young Rok Seo
Journal:  Oxid Med Cell Longev       Date:  2018-05-03       Impact factor: 6.543

Review 10.  Renal Aging: Causes and Consequences.

Authors:  Eoin D O'Sullivan; Jeremy Hughes; David A Ferenbach
Journal:  J Am Soc Nephrol       Date:  2016-11-15       Impact factor: 10.121

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