Evidence map›Paper›PMID 33668793›Full record

ArticleGenes2021

A Workflow for Selection of Single Nucleotide Polymorphic Markers for Studying of Genetics of Ischemic Stroke Outcomes.

Gennady Khvorykh, Andrey Khrunin, Ivan Filippenkov, Vasily Stavchansky, Lyudmila Dergunova, Svetlana Limborska

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The Study of the Association of Polymorphisms inInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Gennady KhvorykhInstitute of Molecular Genetics of National Research Centre, "Kurchatov Institute", Moscow 123182, Russia.
Andrey KhruninInstitute of Molecular Genetics of National Research Centre, "Kurchatov Institute", Moscow 123182, Russia.
Ivan FilippenkovInstitute of Molecular Genetics of National Research Centre, "Kurchatov Institute", Moscow 123182, Russia.ORCID 0000-0002-7848-4688
Vasily StavchanskyInstitute of Molecular Genetics of National Research Centre, "Kurchatov Institute", Moscow 123182, Russia.ORCID 0000-0002-6964-3405
Lyudmila DergunovaInstitute of Molecular Genetics of National Research Centre, "Kurchatov Institute", Moscow 123182, Russia.
Svetlana LimborskaInstitute of Molecular Genetics of National Research Centre, "Kurchatov Institute", Moscow 123182, Russia.
Kurchatov Institute · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we propose a workflow for studying the genetic architecture of ischemic stroke outcomes. It develops further the candidate gene approach. The workflow is based on the animal model of brain ischemia, comparative genomics, human genomic variations, and algorithms of selection of tagging single nucleotide polymorphisms (tagSNPs) in genes which expression was changed after ischemic stroke. The workflow starts from a set of rat genes that changed their expression in response to brain ischemia and results in a set of tagSNPs, which represent other SNPs in the human genes analyzed and influenced on their expression as well.

Indexed as

Gene Regulatory NetworksPolymorphism, Single NucleotideAnimalsComputational BiologyDisease Models, AnimalGene Expression RegulationHumansIschemic StrokeRatsSelection, GeneticWorkflowhuman orthologuesischemic strokemodels of brain ischemiasingle nucleotide polymorphisms

Identifiers

PMID33668793
PMCPMC7996278
OpenAlexW3130396904

What OpenQuestion holds

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LicenceCC BY
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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.