ArticleNeurobiology of aging2012
Genetic variants influencing human aging from late-onset Alzheimer's disease (LOAD) genome-wide association studies (GWAS).
Article in Neurobiology of aging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 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
35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- APOE Alleles and Extreme Human Longevity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019Pooled it
- Linking Alzheimer's disease and type 2 diabetes: Novel shared susceptibility genes detected by cFDR approach.Journal of the neurological sciences · 2017Pooled it
- Comparative Meta-Analysis of Transcriptomics Data during Cellular Senescence and In Vivo Tissue Ageing.Oxidative medicine and cellular longevity · 2015Pooled it
- Stress and glucocorticoid exposure as a critical environmental risk factor for Alzheimer's disease.Journal of neuroimmunology · 2026Article
- Amyloid Precursor Protein Processing Links Female Urgency Urinary Incontinence with Alzheimer's Disease: Implications for Treatment.International journal of molecular sciences · 2026Article
- Genome Selection for Fleece Traits in Inner Mongolia Cashmere Goats Based on GWAS Prior Marker Information.Animals : an open access journal from MDPI · 2025Article
- The protective effect of higher serum TAG (51:4) levels against Parkinson's disease.The British journal of nutrition · 2025Article
- Phospholipids, Sphingolipids, and Cholesterol-Derived Lipid Mediators and Their Role in Neurological Disorders.International journal of molecular sciences · 2024Review
- Neuronal ApoE4 in Alzheimer's disease and potential therapeutic targets.Frontiers in aging neuroscience · 2023Review
- Evaluation of Utilizing the Distinct Genes as Predictive Biomarkers in Late-Onset Alzheimer's Disease.Global medical genetics · 2022Article
- Rare variants in the endocytic pathway are associated with Alzheimer's disease, its related phenotypes, and functional consequences.PLoS genetics · 2021Article
- The Effect of Alzheimer's Disease-Associated Genetic Variants on Longevity.Frontiers in genetics · 2021Article
- A TOMM40/APOE allele encoding APOE-E3 predicts high likelihood of late-onset Alzheimer's disease in autopsy cases.Molecular genetics & genomic medicine · 2020Article
- Impacts of AD-RelatedFrontiers in molecular neuroscience · 2020Article
- Exploring Sphingolipid Implications in Neurodegeneration.Frontiers in neurology · 2020Review
- Lipid and immune abnormalities causing age-dependent neurodegeneration and Parkinson's disease.Journal of neuroinflammation · 2019Review
- Renal Aging: Causes and Consequences.Journal of the American Society of Nephrology : JASN · 2017Review
- Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients.Alzheimer's & dementia (Amsterdam, Netherlands) · 2017Article
- Genetic Factors Affecting Late-Onset Alzheimer's Disease Susceptibility.Neuromolecular medicine · 2016Article
- Puzzling role of genetic risk factors in human longevity: "risk alleles" as pro-longevity variants.Biogerontology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 2 countries.
Funding
Abstract
Genetics plays a crucial role in human aging with up to 30% of those living to the mid-80s being determined by genetic variation. Survival to older ages likely entails an even greater genetic contribution. There is increasing evidence that genes implicated in age-related diseases, such as cancer and neuronal disease, play a role in affecting human life span. We have selected the 10 most promising late-onset Alzheimer's disease (LOAD) susceptibility genes identified through several recent large genome-wide association studies (GWAS). These 10 LOAD genes (APOE, CLU, PICALM, CR1, BIN1, ABCA7, MS4A6A, CD33, CD2AP, and EPHA1) have been tested for association with human aging in our dataset (1385 samples with documented age at death [AAD], age range: 58-108 years; mean age at death: 80.2) using the most significant single nucleotide polymorphisms (SNPs) found in the previous studies. Apart from the APOE locus (rs2075650) which showed compelling evidence of association with risk on human life span (p = 5.27 × 10(-4)), none of the other LOAD gene loci demonstrated significant evidence of association. In addition to examining the known LOAD genes, we carried out analyses using age at death as a quantitative trait. No genome-wide significant SNPs were discovered. Increasing sample size and statistical power will be imperative to detect genuine aging-associated variants in the future. In this report, we also discuss issues relating to the analysis of genome-wide association studies data from different centers and the bioinformatic approach required to distinguish spurious genome-wide significant signals from real SNP associations.
Indexed as
Identifiers
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.