ArticleBrain and language2017
Genome-wide association study of language performance in Alzheimer's disease.
Article in Brain and language, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04482179 (A Phase II, Randomized, Blinded Study of Transcranial Magnetic Stimulation and Constraint Induced Language Therapy for the Treatment of Chronic Aphasia - Alzheimer Disease Sub-study), which is not on this map. Cited by 12 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.
A Phase II, Randomized, Blinded Study of Transcranial Magnetic Stimulation and Constraint Induced Language Therapy for the Treatment of Chronic Aphasia - Alzheimer Disease Sub-study
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review.Frontiers in aging neuroscience · 2021Pooled it
- 25-year neuroimaging research on spoken language processing: a bibliometric analysis.Frontiers in human neuroscience · 2024Article
- Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer's disease.Communications biology · 2023Article
- Article
- Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.Medical image analysis · 2022Article
- A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure.Nature communications · 2021Observational
- The Role of Glutamate in Language and Language Disorders - Evidence from ERP and Pharmacologic Studies.Neuroscience and biobehavioral reviews · 2020Review
- Development and validation of language and visuospatial composite scores in ADNI.Alzheimer's & dementia (New York, N. Y.) · 2020Article
- Construction and Validation of a 13-Gene Signature for Prognosis Prediction in Medulloblastoma.Frontiers in genetics · 2020Article
- Language impairment in primary progressive aphasia and other neurodegenerative diseases.Journal of genetics · 2019Review
- Decoding the biology of language and its implications in language acquisition.Journal of biosciences · 2019Review
- Genetics of language and its implications on language interventions.Journal of genetics · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Language impairment is common in prodromal stages of Alzheimer's disease (AD) and progresses over time. However, the genetic architecture underlying language performance is poorly understood. To identify novel genetic variants associated with language performance, we analyzed brain MRI and performed a genome-wide association study (GWAS) using a composite measure of language performance from the Alzheimer's Disease Neuroimaging Initiative (ADNI; n=1560). The language composite score was associated with brain atrophy on MRI in language and semantic areas. GWAS identified GLI3 (GLI family zinc finger 3) as significantly associated with language performance (p<5×10
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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.