GeneSet Information

Tier I GS270014 • GWAS Catalog Data for longevity, aging in 25,007 European ancestry individuals

DESCRIPTION:

List of positional candidate genes after correcting for multiple testing and controlling the false discovery rate from genome wide association studies (GWAS) retrieved from the NHGRI-EBI Catalog of published genome-wide association studies (http://www.ebi.ac.uk/gwas/). The disease/trait examined in this study, as reported by the authors, was Aging (time to death). The EFO term longevity, aging was annotated to this set after curation by NHGRI-EBI. Intergenic SNPS were mapped to both the upstream and downstream gene. P-value uploaded. This gene set was generated using gwas2gs v. 0.1.8 and the GWAS Catalog v. 1.0.1.

LABEL:

GWAS: longevity, aging

SCORE TYPE:

P-Value

DATE ADDED:

2017-05-02

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

S Walter, G Atzmon, EW Demerath, ME Garcia, RC Kaplan, M Kumari, KL Lunetta, Y Milaneschi, T Tanaka, GJ Tranah, U Völker, L Yu, A Arnold, EJ Benjamin, R Biffar, AS Buchman, E Boerwinkle, D Couper, PL De Jager, DA Evans, TB Harris, W Hoffmann, A Hofman, D Karasik, DP Kiel, T Kocher, M Kuningas, LJ Launer, KK Lohman, PL Lutsey, J Mackenbach, K Marciante, BM Psaty, EM Reiman, JI Rotter, S Seshadri, MD Shardell, AV Smith, C van Duijn, J Walston, MC Zillikens, S Bandinelli, SE Baumeister, DA Bennett, L Ferrucci, V Gudnason, M Kivimaki, Y Liu, JM Murabito, AB Newman, H Tiemeier, N Franceschini

TITLE:

A genome-wide association study of aging.

JOURNAL:

Neurobiology of aging Nov 2011, Vol 32, pp. 2109.e15-28

ABSTRACT:

Human longevity and healthy aging show moderate heritability (20%-50%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 × 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer's disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity. PUBMED: 21782286
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