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Record W3041930079 · doi:10.1038/s42003-020-1105-z

Transcriptome-wide association study for restless legs syndrome identifies new susceptibility genes

2020· article· en· W3041930079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCommunications Biology · 2020
Typearticle
Languageen
FieldMedicine
TopicRestless Legs Syndrome Research
Canadian institutionsMcGill University Health CentreMcGill UniversityMontreal Neurological Institute and Hospital
FundersNIHR Cambridge Biomedical Research CentreFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchVifor PharmaHelmholtz Zentrum MünchenNational Institute for Health and Care ResearchBundesministerium für Bildung und ForschungNHS Blood and TransplantWestfälische Wilhelms-Universität MünsterGovernment of CanadaDeutsche ForschungsgemeinschaftDepartment of Health and Social CareBritish Heart FoundationNIHR BioResourceUniversity of CambridgeCambridge University HospitalsMedical Research CouncilMayo Clinic
KeywordsGenome-wide association studyTranscriptomeGeneGenetic associationBiologyGeneticsDorsolateral prefrontal cortexSNPComputational biologySingle-nucleotide polymorphismPrefrontal cortexGene expressionNeuroscienceGenotype

Abstract

fetched live from OpenAlex

Restless legs syndrome (RLS) is a common neurological condition, with a prevalence of 5-15% in Central Europe and North America. Although genome-wide association studies (GWAS) have identified some common risk regions for RLS, the causal genes have yet to be fully elucidated. We conducted a transcriptome-wide association study involving 15,126 RLS cases and 95,725 controls, from the most recent meta-analysis of GWAS, and gene expression weights of GTEx v7 and the CMC dorsolateral prefrontal cortex tissue panels. We identified 13 associations (in 8 independent loci) at the transcriptome-wide significant level, of which 6 were not implicated in the previous GWAS: SKAP1, SLC36A1, CCDC57, FN3KRP, NCOA6/TRPC4AP. A fine-mapping approach prioritized CMTR1, RP1-153P14.5, PRPF6, and PPP3R1 - to our knowledge, the latter of which is the first RLS-associated gene directly implicated in dopaminergic pathways. Overall, our findings highlight the power of integrating gene expression data with GWAS to prioritize putative causal genes for functional follow-up studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.176
GPT teacher head0.418
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it