SynthesisJAMA neurology2014
Genome-wide analysis of the heritability of amyotrophic lateral sclerosis.
Synthesis in JAMA neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 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
41 citing papers in PubMed.
- A case study of comprehensive association analysis and risk prediction of amyotrophic lateral sclerosis in a Chinese population.Molecular biology reports · 2026Article
- An in silico protocol for predicting genetic biomarkers in rare diseases: a case study in sporadic amyotrophic lateral sclerosis.Frontiers in genetics · 2026Article
- Review
- SCAMPI: A scalable statistical framework for genome-wide interaction testing harnessing cross-trait correlations.bioRxiv : the preprint server for biology · 2024Article
- Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction.Heliyon · 2024Article
- Endogenous retroviruses are dysregulated in ALS.iScience · 2024Article
- Dysregulated NFrontiers of medicine · 2024Article
- Unlocking the epigenetic symphony: histone acetylation's impact on neurobehavioral change in neurodegenerative disorders.Epigenomics · 2024Review
- Amyotrophic lateral sclerosis: translating genetic discoveries into therapies.Nature reviews. Genetics · 2023Review
- Harnessing Transcriptomic Signals for Amyotrophic Lateral Sclerosis to Identify Novel Drugs and Enhance Risk Prediction.medRxiv : the preprint server for health sciences · 2023Article
- Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits.Nucleic acids research · 2023Article
- Microglial crosstalk with astrocytes and immune cells in amyotrophic lateral sclerosis.Frontiers in immunology · 2023Review
- Motoneuron Diseases.Advances in neurobiology · 2022Article
- Review
- Targeted sequencing panels in Italian ALS patients support different etiologies in the ALS/FTD continuum.Journal of neurology · 2021Article
- Contribution of rare variant associations to neurodegenerative disease presentation.NPJ genomic medicine · 2021Article
- Pathogenic Effect ofNeurology · 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
- Genomic Portrait of a Sporadic Amyotrophic Lateral Sclerosis Case in a Large Spinocerebellar Ataxia Type 1 Family.Journal of personalized medicine · 2020Article
- Article
Corrections and comments
- Commented on by
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- Erratum issued
Authors and funding
9 authors.
Funding
Abstract
importanceConsiderable advances have been made in our understanding of the genetics underlying amyotrophic lateral sclerosis (ALS). Nevertheless, for the majority of patients who receive a diagnosis of ALS, the role played by genetics is unclear. Further elucidation of the genetic architecture of this disease will help clarify the role of genetic variation in ALS populations.
objectiveTo estimate the relative importance of genetic factors in a complex disease such as ALS by accurately quantifying heritability using genome-wide data derived from genome-wide association studies. DESIGN, SETTING, AND
participantsWe applied the genome-wide complex trait analysis algorithm to 3 genome-wide association study data sets that were generated from ALS case-control cohorts of European ancestry to estimate the heritability of ALS. Cumulatively, these data sets contained genotype data from 1223 cases and 1591 controls that had been previously generated and are publically available on the National Center for Biotechnology Information database of genotypes and phenotypes website (http://www.ncbi.nlm.nih.gov/gap). The cohorts genotyped as part of these genome-wide association study efforts include the InCHIANTI (aging in the Chianti area) Study, the Piemonte and Valle d'Aosta Register for Amyotrophic Lateral Sclerosis, the National Institute of Neurological Disorders and Stroke Repository, and an ALS specialty clinic in Helsinki, Finland. MAIN OUTCOMES AND MEASURES: A linear mixed model was used to account for all known single-nucleotide polymorphisms simultaneously and to quantify the phenotypic variance present in ostensibly outbred individuals. Variance measures were used to estimate heritability.
resultsWith our meta-analysis, which is based on genome-wide genotyping data, we estimated the overall heritability of ALS to be approximately 21.0% (95% CI, 17.1-24.9) (SE = 2.0%), indicating that additional genetic variation influencing risk of ALS loci remains to be identified. Furthermore, we identified 17 regions of the genome that display significantly high heritability estimates. Eleven of these regions represent novel candidate regions for ALS risk. CONCLUSIONS AND RELEVANCE: We found the heritability of ALS to be significantly higher than previously reported. We also identified multiple, novel genomic regions that we hypothesize may contain causative risk variants that influence susceptibility to ALS.
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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.