Evidence map›Paper›PMID 30356112›Full record

SynthesisEuropean journal of human genetics : EJHG2019

A stroke gene panel for whole-exome sequencing.

Andreea Ilinca, Sofie Samuelsson, Paul Piccinelli, Maria Soller, Ulf Kristoffersson, Arne G Lindgren

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in European journal of human genetics : EJHG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

17 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Polymorphism ofIBRO neuroscience reports · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Neurology. Genetics · 2021
    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 3 institutions in 1 country.

Andreea IlincaDepartment of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden. Andreea.Ilinca@med.lu.se.
Sofie SamuelssonDepartment of Clinical Genetics and Pathology, Laboratory Medicine, Region Skåne and Lund University, Lund, Sweden.
Paul PiccinelliDepartment of Clinical Genetics and Pathology, Laboratory Medicine, Region Skåne and Lund University, Lund, Sweden.
Maria SollerDepartment of Clinical Genetics and Pathology, Laboratory Medicine, Region Skåne and Lund University, Lund, Sweden.
Ulf KristofferssonDepartment of Clinical Genetics and Pathology, Laboratory Medicine, Region Skåne and Lund University, Lund, Sweden.
Arne G LindgrenDepartment of Clinical Sciences Lund, Neurology, Lund University, Lund, Sweden.
Lund University · SEKarolinska University Hospital · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive analyses of known monogenic causes of stroke by whole-exome/genome sequencing are technically possible today. We here aimed to compile a comprehensive panel of genes associated with monogenic causes of stroke for use in clinical and research situations. We systematically searched the publically available database Online Mendelian Inheritance in Man, and validated the entries against original peer-reviewed publications in PubMed. First, we selected known pathogenic or putatively pathogenic stroke genes reported in at least one person with stroke, and classified the stroke phenotype for each gene into eight subgroups: (1) large artery atherosclerotic, (2) large artery non-atherosclerotic (tortuosity, dolichoectasia, aneurysm, non-atherosclerotic dissection, occlusion), (3) cerebral small-vessel diseases, (4) cardioembolic (arrhythmia, heart defect, cardiomyopathy), (5) coagulation dysfunctions (venous thrombosis, arterial thrombosis, bleeding tendency), (6) intracerebral hemorrhage, (7) vascular malformations (cavernoma, arteriovenous malformations), and (8) metabolism disorders. Second, we selected other genes that may plausibly cause stroke through diseases related to stroke, but without any documented stroke patient description. A third section comprised SNPs associated with stroke in genome-wide association studies (GWAS). We identified in total 214 genes: 120 associated with stroke, 62 associated with diseases that may cause stroke, and 32 stroke-related genes from recent GWAS. We describe these 214 genes and the clinical stroke subtype(s) associated with each of them. The resulting gene panel can be used to interpret exome sequencing results regarding monogenic stroke. Based on the panel's clinical phenotype description, the pathogenicity of novel variants in these genes may be evaluated in specific situations.

Indexed as

Exome SequencingPolymorphism, Single NucleotideDatabases, GeneticGenome-Wide Association StudyHumansStroke

Identifiers

PMID30356112
PMCPMC6336868
OpenAlexW2898257442

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.