Evidence map›Paper›PMID 33218114›Full record

ArticleBrain sciences2020

Genome-Wide Scan for Five Brain Oscillatory Phenotypes Identifies a New QTL Associated with Theta EEG Band.

Miguel Ângelo Rebelo, Carlos Gómez, Iva Gomes, Jesús Poza, Sandra Martins, Aarón Maturana-Candelas, Saúl J Ruiz-Gómez, Luis Durães, Patrícia Sousa, Manuel Figueruelo and 7 more

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 2 countries.

Miguel Ângelo RebeloIPATIMUP-Instituto de Patologia e Imunologia Molecular da Universidade do Porto, 4200-135 Porto, Portugal.
Carlos GómezGrupo de Ingeniería Biomédica, Universidad de Valladolid, 47011 Valladolid, Spain.ORCID 0000-0002-9488-0605
Iva GomesIPATIMUP-Instituto de Patologia e Imunologia Molecular da Universidade do Porto, 4200-135 Porto, Portugal.
Jesús PozaGrupo de Ingeniería Biomédica, Universidad de Valladolid, 47011 Valladolid, Spain.ORCID 0000-0001-8577-9559
Sandra MartinsIPATIMUP-Instituto de Patologia e Imunologia Molecular da Universidade do Porto, 4200-135 Porto, Portugal.
Aarón Maturana-CandelasGrupo de Ingeniería Biomédica, Universidad de Valladolid, 47011 Valladolid, Spain.
Saúl J Ruiz-GómezGrupo de Ingeniería Biomédica, Universidad de Valladolid, 47011 Valladolid, Spain.ORCID 0000-0003-1483-2265
Luis DurãesAssociação Portuguesa de Familiares e Amigos de Doentes de Alzheimer, Delegação Norte, 4455-301 Lavra, Portugal.
Patrícia SousaAssociação Portuguesa de Familiares e Amigos de Doentes de Alzheimer, Delegação Norte, 4455-301 Lavra, Portugal.
Manuel FiguerueloAsociación de Familiares y Amigos de Enfermos de Alzheimer y otras demencias de Zamora, 49021 Zamora, Spain.
María RodríguezAsociación de Familiares y Amigos de Enfermos de Alzheimer y otras demencias de Zamora, 49021 Zamora, Spain.
Carmen PitaAsociación de Familiares y Amigos de Enfermos de Alzheimer y otras demencias de Zamora, 49021 Zamora, Spain.
Miguel ArenasDepartment of Biochemistry, Genetics and Immunology, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0002-0516-2717
Luis ÁlvarezTellmeGen, 46010 Valencia, Spain.
Roberto HorneroGrupo de Ingeniería Biomédica, Universidad de Valladolid, 47011 Valladolid, Spain.ORCID 0000-0001-9915-2570
Nádia PintoIPATIMUP-Instituto de Patologia e Imunologia Molecular da Universidade do Porto, 4200-135 Porto, Portugal.
Alexandra M LopesIPATIMUP-Instituto de Patologia e Imunologia Molecular da Universidade do Porto, 4200-135 Porto, Portugal.
Universidad de Valladolid · ESUniversidade do Porto · PTFundación INTRAS · ESOrdem dos Médicos · PTUniversidade de Vigo · ES

Funding

European Regional Development Fund POCI-01-0145-FEDER-007274Interreg 1317_AD-EEGWA
6 · The paper itself

Abstract

Brain waves, measured by electroencephalography (EEG), are a powerful tool in the investigation of neurophysiological traits and a noninvasive and cost-effective alternative in the diagnostic of some neurological diseases. In order to identify novel Quantitative Trait Loci (QTLs) for brain wave relative power (RP), we collected resting state EEG data in five frequency bands (δ, θ, α, β1, and β2) and genome-wide data in a cohort of 105 patients with late onset Alzheimer's disease (LOAD), 41 individuals with mild cognitive impairment and 45 controls from Iberia, correcting for disease status. One novel association was found with an interesting candidate for a role in brain wave biology,

Indexed as

Alzheimer’s diseasebrain electrophysiologybrain QTLelectroencephalography rhythmsendophenotypefrequency spectrum relative powergenome-wide association studyneurological disorders

Identifiers

PMID33218114
PMCPMC7698967
OpenAlexW3101318822

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.