SynthesisAging cell2012
Review: a meta-analysis of GWAS and age-associated diseases.
Synthesis in Aging cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
117 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.
- A meta-analysis of genome-wide association studies identifies multiple longevity genes.Nature communications · 2019Pooled it
- GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.The journals of gerontology. Series A, Biological sciences and medical sciences · 2015Pooled it
- Chromatin topology and distal elements underlie divergent cell-type-specific regulation of 9p21 locus cell cycle genes.Cell genomics · 2026Article
- Review
- Is the Era of One-Size-Fits-All Alzheimer's Treatment Officially Over?Journal of molecular neuroscience : MN · 2025Review
- Advances in Artificial Intelligence (AI) Models and Generative Algorithms Represent a New Paradigm for Genomics Research.International journal of molecular sciences · 2025Review
- GDBIG: A Pioneering Birth Cohort Genomic Platform Facilitating Intergenerational Genetic Research.Genomics, proteomics & bioinformatics · 2025Article
- Neurometabolomic impacts of wood smoke and protective benefits of anti-aging therapeutics in aged female C57BL/6J mice.Particle and fibre toxicology · 2025Article
- Telomeres at the nexus of aging, tumor suppression, and inflammation: toward an understanding beyond senescence.Genes & development · 2025Review
- Elevated p16Ink4a Expression Enhances Tau Phosphorylation in Neurons Differentiated From Human-Induced Pluripotent Stem Cells.Aging cell · 2025Article
- Mineral Stress Drives Loss of Heterochromatin: An Early Harbinger of Vascular Inflammaging and Calcification.Circulation research · 2025Article
- β2-microglobulin and cognitive decline: unraveling the mediating role of the Dunedin Pace of Aging methylation.Frontiers in aging neuroscience · 2025Article
- The Role of p16Ink4a as an Early Predictor of Physiological Decline during Natural Aging.medRxiv : the preprint server for health sciences · 2024Article
- An eQTL-based approach reveals candidate regulators of LINE-1 RNA levels in lymphoblastoid cells.PLoS genetics · 2024Article
- Current insights into transcriptional role(s) for the nutraceuticalFrontiers in nutrition · 2024Review
- An eQTL-based Approach Reveals Candidate Regulators of LINE-1 RNA Levels in Lymphoblastoid Cells.bioRxiv : the preprint server for biology · 2023Article
- Targeted sequencing of the 9p21.3 region reveals association with reduced disease risks in Ashkenazi Jewish centenarians.Aging cell · 2023Article
- Identification and functional validation of an enhancer variant in the 9p21.3 locus associated with glaucoma risk and elevated expression of p16Aging cell · 2023Article
- Cellular senescence and neurodegeneration.Human genetics · 2023Review
- Identification and functional validation of an enhancer variant in the 9p21.3 locus associated with glaucoma risk and elevated expression ofbioRxiv : the preprint server for biology · 2023Article
57 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Genome-Wide Association studies (GWAS) offer an unbiased means to understand the genetic basis of traits by identifying single nucleotide polymorphisms (SNPs) linked to causal variants of complex phenotypes. GWAS have identified a host of susceptibility SNPs associated with many important human diseases, including diseases associated with aging. In an effort to understand the genetics of broad resistance to age-associated diseases (i.e., 'wellness'), we performed a meta-analysis of human GWAS. Toward that end, we compiled 372 GWAS that identified 1775 susceptibility SNPs to 105 unique diseases and used these SNPs to create a genomic landscape of disease susceptibility. This map was constructed by partitioning the genome into 200 kb 'bins' and mapping the 1775 susceptibility SNPs to bins based on their genomic location. Investigation of these data revealed significant heterogeneity of disease association within the genome, with 92% of bins devoid of disease-associated SNPs. In contrast, 10 bins (0.06%) were significantly (P < 0.05) enriched for susceptibility to multiple diseases, 5 of which formed two highly significant peaks of disease association (P < .0001). These peaks mapped to the Major Histocompatibility (MHC) locus on 6p21 and the INK4/ARF (CDKN2a/b) tumor suppressor locus on 9p21.3. Provocatively, all 10 significantly enriched bins contained genes linked to either inflammation or cellular senescence pathways, and SNPs near regulators of senescence were particularly associated with disease of aging (e.g., cancer, atherosclerosis, type 2 diabetes, glaucoma). This analysis suggests that germline genetic heterogeneity in the regulation of immunity and cellular senescence influences the human healthspan.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.