ArticleBrain communications2021
Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed, 28 citations in OpenAlex.
- Genetically Predicted Blood DNA Methylation Reveals Putative Regulatory Signals Associated with ALS Risk.medRxiv : the preprint server for health sciences · 2026Article
- Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.BMC medicine · 2026Review
- Convergent and Divergent Mitochondrial Pathways as Causal Drivers and Therapeutic Targets in Neurological Disorders.Current issues in molecular biology · 2025Article
- Drug repurposing candidates for amyotrophic lateral sclerosis using common and rare genetic variants.Brain communications · 2025Article
- Network medicine informed multiomics integration identifies drug targets and repurposable medicines for Amyotrophic Lateral Sclerosis.NPJ systems biology and applications · 2024Article
- Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction.Heliyon · 2024Article
- Article
- Network medicine informed multi-omics integration identifies drug targets and repurposable medicines for Amyotrophic Lateral Sclerosis.bioRxiv : the preprint server for biology · 2024Article
- Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data.Acta neuropathologica communications · 2023Article
- Identifying novel genes for amyotrophic lateral sclerosis by integrating human brain proteomes with genome-wide association data.Journal of neurology · 2023Article
- Harnessing Transcriptomic Signals for Amyotrophic Lateral Sclerosis to Identify Novel Drugs and Enhance Risk Prediction.medRxiv : the preprint server for health sciences · 2023Article
- Large-scale analyses of CAV1 and CAV2 suggest their expression is higher in post-mortem ALS brain tissue and affects survival.Frontiers in cellular neuroscience · 2023Article
- Genome-Wide Gene-Set Analysis Approaches in Amyotrophic Lateral Sclerosis.Journal of personalized medicine · 2022Review
- RetroSnake: A modular pipeline to detect human endogenous retroviruses in genome sequencing data.iScience · 2022Article
- Lack of an association between SCFD1 rs10139154 polymorphism and amyotrophic lateral sclerosis.Molecular medicine reports · 2022Article
- Causal Inference of Genetic Variants and Genes in Amyotrophic Lateral Sclerosis.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 9 institutions in 6 countries.
Funding
Abstract
Evidence indicates that common variants found in genome-wide association studies increase risk of disease through gene regulation via expression Quantitative Trait Loci. Using multiple genome-wide methods, we examined if Single Nucleotide Polymorphisms increase risk of Amyotrophic Lateral Sclerosis through expression Quantitative Trait Loci, and whether expression Quantitative Trait Loci expression is consistent across people who had Amyotrophic Lateral Sclerosis and those who did not. In combining public expression Quantitative Trait Loci data with Amyotrophic Lateral Sclerosis genome-wide association studies, we used Summary-data-based Mendelian Randomization to confirm that
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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.