ArticleJAMA neurology2015
A multiancestral genome-wide exome array study of Alzheimer disease, frontotemporal dementia, and progressive supranuclear palsy.
Article in JAMA neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- Gene co-expression changes underlying the functional connectomic alterations in Alzheimer's disease.BMC medical genomics · 2022Pooled it
- TREM2 variants and risk of Alzheimer's disease: a meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2015Pooled it
- Bioinformatics approach reveals the critical role of inflammation-related genes in age-related hearing loss.Scientific reports · 2025Article
- Plasma membrane repair defect in Alzheimer's disease neurons is driven by the reduced dysferlin expression.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024Article
- Genome-Wide DNA Methylation in Early-Onset-Dementia Patients Brain Tissue and Lymphoblastoid Cell Lines.International journal of molecular sciences · 2024Article
- The ABC's of Alzheimer risk gene ABCA7.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Review
- Otoferlin as a multirole CaFrontiers in cellular neuroscience · 2023Review
- The influence of 17q21.31 andFrontiers in aging neuroscience · 2022Review
- Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis.Nature neuroscience · 2021Article
- HDL Cholesterol and Non-Cardiovascular Disease: A Narrative Review.International journal of molecular sciences · 2021Review
- The Role of White Matter Dysfunction and Leukoencephalopathy/Leukodystrophy Genes in the Aetiology of Frontotemporal Dementias: Implications for Novel Approaches to Therapeutics.International journal of molecular sciences · 2021Review
- Transfer learning-trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progression.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Moving Toward Patient-Tailored Treatment in ALS and FTD: The Potential of Genomic Assessment as a Tool for Biological Discovery and Trial Recruitment.Frontiers in neuroscience · 2021Review
- Article
- Functional genomics links genetic origins to pathophysiology in neurodegenerative and neuropsychiatric disease.Current opinion in genetics & development · 2020Review
- Tau Pathology Drives Dementia Risk-Associated Gene Networks toward Chronic Inflammatory States and Immunosuppression.Cell reports · 2020Article
- Oxidized cholesterol species as signaling molecules in the brain: diabetes and Alzheimer's disease.Neuronal signaling · 2019Review
- The role of ABCA7 in Alzheimer's disease: evidence from genomics, transcriptomics and methylomics.Acta neuropathologica · 2019Review
- A nonsynonymous mutation in PLCG2 reduces the risk of Alzheimer's disease, dementia with Lewy bodies and frontotemporal dementia, and increases the likelihood of longevity.Acta neuropathologica · 2019Article
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Authors and funding
35 authors at 13 institutions in 1 country.
Funding
Abstract
importancePrevious studies have indicated a heritable component of the etiology of neurodegenerative diseases such as Alzheimer disease (AD), frontotemporal dementia (FTD), and progressive supranuclear palsy (PSP). However, few have examined the contribution of low-frequency coding variants on a genome-wide level.
objectiveTo identify low-frequency coding variants that affect susceptibility to AD, FTD, and PSP. DESIGN, SETTING, AND
participantsWe used the Illumina HumanExome BeadChip array to genotype a large number of variants (most of which are low-frequency coding variants) in a cohort of patients with neurodegenerative disease (224 with AD, 168 with FTD, and 48 with PSP) and in 224 control individuals without dementia enrolled between 2005-2012 from multiple centers participating in the Genetic Investigation in Frontotemporal Dementia and Alzheimer's Disease (GIFT) Study. An additional multiancestral replication cohort of 240 patients with AD and 240 controls without dementia was used to validate suggestive findings. Variant-level association testing and gene-based testing were performed. MAIN OUTCOMES AND MEASURES: Statistical association of genetic variants with clinical diagnosis of AD, FTD, and PSP.
resultsGenetic variants typed by the exome array explained 44%, 53%, and 57% of the total phenotypic variance of AD, FTD, and PSP, respectively. An association with the known AD gene ABCA7 was replicated in several ancestries (discovery P=.0049, European P=.041, African American P=.043, and Asian P=.027), suggesting that exonic variants within this gene modify AD susceptibility. In addition, 2 suggestive candidate genes, DYSF (P=5.53×10(-5)) and PAXIP1 (P=2.26×10(-4)), were highlighted in patients with AD and differentially expressed in AD brain. Corroborating evidence from other exome array studies and gene expression data points toward potential involvement of these genes in the pathogenesis of AD. CONCLUSIONS AND RELEVANCE: Low-frequency coding variants with intermediate effect size may account for a significant fraction of the genetic susceptibility to AD and FTD. Furthermore, we found evidence that coding variants in the known susceptibility gene ABCA7, as well as candidate genes DYSF and PAXIP1, confer risk for AD.
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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.