Evidence map›Paper›PMID 34195885›Full record

ArticleMolecular biology reports2021

Genetic predictors of sick sinus syndrome.

Yanina Timasheva, Marat Badykov, Leysan Akhmadishina, Timur Nasibullin, Elena Badykova, Alfiya Pushkareva, Vladimir Plechev, Ildus Sagitov, Naufal Zagidullin

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2021. 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
0.2field-weighted citation impact, top 47% 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, 2 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

9 authors at 3 institutions in 2 countries.

Yanina TimashevaInstitute of Biochemistry and Genetics of Ufa Federal Research Centre of Russian Academy of Sciences, 71 October Avenue, 450054, Ufa, Russian Federation. ianina_t@mail.ru.ORCID http://orcid.org/0000-0002-9918-6962
Marat BadykovBashkir State Medical University, 3 Lenin street, 450007, Ufa, Russian Federation.ORCID http://orcid.org/0000-0002-9397-6250
Leysan AkhmadishinaInstitute of Biochemistry and Genetics of Ufa Federal Research Centre of Russian Academy of Sciences, 71 October Avenue, 450054, Ufa, Russian Federation.ORCID http://orcid.org/0000-0003-0043-5090
Timur NasibullinInstitute of Biochemistry and Genetics of Ufa Federal Research Centre of Russian Academy of Sciences, 71 October Avenue, 450054, Ufa, Russian Federation.ORCID http://orcid.org/0000-0001-8823-8678
Elena BadykovaBashkir State Medical University, 3 Lenin street, 450007, Ufa, Russian Federation.ORCID http://orcid.org/0000-0002-8167-4271
Alfiya PushkarevaBashkir State Medical University, 3 Lenin street, 450007, Ufa, Russian Federation.ORCID http://orcid.org/0000-0002-4637-4724
Vladimir PlechevBashkir State Medical University, 3 Lenin street, 450007, Ufa, Russian Federation.ORCID http://orcid.org/0000-0002-6716-4048
Ildus SagitovBashkir State Medical University, 3 Lenin street, 450007, Ufa, Russian Federation.ORCID http://orcid.org/0000-0002-5830-5056
Naufal ZagidullinBashkir State Medical University, 3 Lenin street, 450007, Ufa, Russian Federation.ORCID http://orcid.org/0000-0003-2386-6707
Bashkir State Medical University · RUUfa Institute of Chemistry · RUHammersmith Hospital · GB

Funding

Council on grants of the President of the Russian Federation MD-7395.2016.7
6 · The paper itself

Abstract

Sick sinus syndrome (SSS) encompasses a group of conduction disorders characterized by the inability of sinoatrial node to perform its pacemaker function. Our aim was to identify genetic predictors of SSS in a prospective cohort of patients admitted to the clinic for pacemaker implantation using single-locus and multilocus approaches. We performed genotyping for polymorphic markers of CLCNKA (rs10927887), SCN10A (rs6795970), FNDC3B (rs9647379), MIR146A (rs2910164), SYT10 (rs7980799), MYH6 (rs365990), and KCNE1 (rs1805127) genes in the group of 284 patients with SSS and 243 healthy individuals. Associations between the studied loci and SSS were tested using logistic regression under recessive genetic model using sex and age as covariates. Multilocus analysis was performed using Markov chain Monte Carlo method implemented in the APSampler program. Correction for multiple testing was performed using Benjamini-Hochberg procedure. We detected an individual association between KCNE1 rs1805127*A allele and SSS in the total study group (OR 0.43, P

Indexed as

AgedAged, 80 and overAllelesCardiac MyosinsChloride ChannelsCohort StudiesFemaleFibronectinsGenetic Predisposition to DiseaseGenetic TestingGenotypeHumansMaleMicroRNAsMiddle AgedMyosin Heavy ChainsCardiac MyosinsChloride ChannelsCLCNKA protein, humanFibronectinsFNDC3B protein, humanKCNE1 protein, humanMicroRNAsMIRN146 microRNA, humanMYH6 protein, humanMyosin Heavy ChainsNAV1.8 Voltage-Gated Sodium ChannelPotassium Channels, Voltage-GatedSCN10A protein, humanSynaptotagminsSYT10 protein, humanFNDC3B (fibronectin type III domain 3B)KCNE1 (potassium voltage-gated channel subfamily E member 1)miR-146aMultilocus analysisSCN10A (sodium voltage-gated channel alpha subunit 10)Sick sinus syndromeSYT10 (synaptotagmin 10)

Identifiers

PMID34195885
OpenAlexW3175543865

What OpenQuestion holds

Textmetadata
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.