ArticleEMBO molecular medicine2021
Machine learning suggests polygenic risk for cognitive dysfunction in amyotrophic lateral sclerosis.
Article in EMBO molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis 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
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- The contribution of brain banks to knowledge discovery in amyotrophic lateral sclerosis: A systematic review.Neuropathology and applied neurobiology · 2022Pooled it
- A neuromuscular clinician's primer on machine learning.Journal of neuromuscular diseases · 2026Review
- Disrupted Glucose Metabolism Covariance Network in Amyotrophic Lateral Sclerosis.CNS neuroscience & therapeutics · 2025Article
- ALS molecular subtypes are a combination of cellular and pathological features learned by deep multiomics classifiers.Cell reports · 2025Article
- Mild cognitive impairment in amyotrophic lateral sclerosis: current view.Journal of neural transmission (Vienna, Austria : 1996) · 2025Review
- Cumulative incidence of motor and cognitive features in the amyotrophic lateral sclerosis-frontotemporal degeneration spectrum.Brain communications · 2025Article
- AI, agentic models and lab automation for scientific discovery - the beginning of scAInce.Frontiers in artificial intelligence · 2025Review
- Amyotrophic lateral sclerosis diagnosis using machine learning and multi-omic data integration.Heliyon · 2024Article
- The Spectrum of Cognitive Dysfunction in Amyotrophic Lateral Sclerosis: An Update.International journal of molecular sciences · 2023Review
- Cumulative Genetic Score andNeurology. Genetics · 2023Article
- Review
- Defining cognitive impairment in amyotrophic lateral sclerosis: an evaluation of empirical approaches.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2022Article
- Risk score prediction model based on single nucleotide polymorphism for predicting malaria: a machine learning approach.BMC bioinformatics · 2022Article
- Deep learning methods may not outperform other machine learning methods on analyzing genomic studies.Frontiers in genetics · 2022Article
- Machine learning suggests polygenic risk for cognitive dysfunction in amyotrophic lateral sclerosis.EMBO molecular medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
35 authors at 14 institutions in 1 country.
Funding
Abstract
Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction is commonly observed in patients; however, factors influencing risk for cognitive dysfunction remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we observed that single nucleotide polymorphisms collectively associate with baseline cognitive performance in a large ALS patient cohort (N = 327) from the multicenter Clinical Research in ALS and Related Disorders for Therapeutic Development (CReATe) Consortium. We demonstrate that a polygenic risk score derived using sCCA relates to longitudinal cognitive decline in the same cohort and also to in vivo cortical thinning in the orbital frontal cortex, anterior cingulate cortex, lateral temporal cortex, premotor cortex, and hippocampus (N = 90) as well as post-mortem motor cortical neuronal loss (N = 87) in independent ALS cohorts from the University of Pennsylvania Integrated Neurodegenerative Disease Biobank. Our findings suggest that common genetic polymorphisms may exert a polygenic contribution to the risk of cortical disease vulnerability and cognitive dysfunction in ALS.
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.