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Meta-Analysis

A genome-wide association study of aging

Stefan Walter et al. Neurobiol Aging. 2011 Nov.

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.

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Conflict of interest statement

Disclosure Statement

The authors declare that no competing interests exist. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Figures

Figure 1
Figure 1
Figure 1a Quantile–quantile (Q-Q) plot after meta-analysis for time to death Figure 1b Quantile–quantile (Q-Q) plot after meta-analysis for time to event
Figure 1
Figure 1
Figure 1a Quantile–quantile (Q-Q) plot after meta-analysis for time to death Figure 1b Quantile–quantile (Q-Q) plot after meta-analysis for time to event
Figure 2
Figure 2. Network describing neuronal activities related to time to death
Pathway analysis of genes (SNPs) associated with time to death. Genes are represented as nodes; edges indicate known interactions (solid lines depict direct and hatched lines depict indirect interaction). Human gene functions are color-coded as follows: Red= Unknown, Yellow= Transmembrane Receptor and G-Protein Coupled Receptor, Magenta (Pink-Purple)= Group/Complex/Other, Bright Green= Ion Channel, Hunter Green (Dark Green) = Peptidase, Navy Blue = transcription regulator, Light Blue=Transporter, Beige= Enzyme, Orange= Kinase, Light green= Cytokine, Light Purple= Phosphate, Gray= Translation Regulator, Olive Green=Ligand-dependent nuclear receptor.

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