ArticleBMC bioinformatics2016
A novel approach for multi-SNP GWAS and its application in Alzheimer's disease.
Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
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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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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Chromosome X-wide association study in case control studies of pathologically confirmed Alzheimer's disease in a European population.Translational psychiatry · 2024Pooled it
- Correlation of rs9331888 polymorphism with Alzheimer's disease among Caucasian and Chinese populations: a meta-analysis and systematic review.Metabolic brain disease · 2017Pooled it
- Amyloid-β-Driven Synaptic Deficits Are Mediated by Synaptic Removal of GluA3-Containing AMPA Receptors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Whole-Genome Sequencing of 100 Genomes Identifies a Distinctive Genetic Susceptibility Profile of Qatari Patients with Hypertension.Journal of personalized medicine · 2022Article
- Article
- Interplay between stress-related genes may influence Alzheimer's disease development: The results of genetic interaction analyses of human data.Mechanisms of ageing and development · 2021Article
- Non-coding RNA influences in dementia.Non-coding RNA research · 2018Review
- Noncoding RNAs in Alzheimer's disease.Wiley interdisciplinary reviews. RNA · 2018Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundGenome-wide association studies (GWAS) have effectively identified genetic factors for many diseases. Many diseases, including Alzheimer's disease (AD), have epistatic causes, requiring more sophisticated analyses to identify groups of variants which together affect phenotype.
resultsBased on the GWAS statistical model, we developed a multi-SNP GWAS analysis to identify pairs of variants whose common occurrence signaled the Alzheimer's disease phenotype.
conclusionsDespite not having sufficient data to demonstrate significance, our preliminary experimentation identified a high correlation between GRIA3 and HLA-DRB5 (an AD gene). GRIA3 has not been previously reported in association with AD, but is known to play a role in learning and memory.
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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.