Evidence map›Paper›PMID 39082428›Full record

ArticleJournal of the American Heart Association2024

Rare Sequence Variation Underlying Suspected Familial Cerebral Small-Vessel Disease.

Bernard P H Cho, Kate Auckland, Stefan Gräf, Hugh S Markus

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

4 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Review
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

4 authors.

Bernard P H ChoStroke Research Group Department of Clinical Neurosciences University of Cambridge Cambridge UK.ORCID 0000-0002-5034-3234
Kate AucklandDepartment of Medicine University of Cambridge Victor Phillip Dahdaleh Heart and Lung Research Institute Cambridge UK.
Stefan GräfDepartment of Medicine University of Cambridge Victor Phillip Dahdaleh Heart and Lung Research Institute Cambridge UK.ORCID 0000-0002-1315-8873
Hugh S MarkusStroke Research Group Department of Clinical Neurosciences University of Cambridge Cambridge UK.ORCID 0000-0002-9794-5996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral small-vessel disease (cSVD) is the leading monogenic cause of stroke. Despite genetic screening in routine diagnosis, many cases remain without a known causative variant. Using a cohort with suspected familial cSVD and whole-genome sequencing, we screened for variants in genes associated with monogenic cSVD and searched for novel variants associated with the disease. METHODS AND

resultsRare variants were identified in whole-genome sequencing data from the NBR (National Institute for Health Research BioResource Rare Disease) study. Pathogenic variants in known monogenic cSVD genes were identified. Gene-based burden tests and family analysis were performed to identify novel variants associated with familial cSVD. A total of 257 suspected cSVD cases (mean ± SD age, 56.2 ± 16.1 years), and 13 086 controls with other nonstroke diseases (5874 [44.9%] men) were studied. A total of 8.9% of the cases carried a variant in known cSVD genes. Excluding these known causes, 23.6% of unrelated subjects with cSVD carried predicted deleterious variants in the Genomics England gene panel, but no association was found with cSVD in burden tests. We identified potential associations with cSVD in noncoding genes, including

conclusionsPredicted deleterious variants in known cSVD genes were present in 23.6% of unrelated cases with cSVD, but none of the genes were associated with the disease. Rare variants in noncoding and matrisomal genes could potentially contribute to cSVD development. These genes could play a role in tissue development and brain endothelial cell function. However, further studies are needed to confirm their pathophysiological roles.

Indexed as

Cerebral Small Vessel DiseasesGenetic Predisposition to DiseaseWhole Genome SequencingAdultAgedCase-Control StudiesFemaleGenetic VariationHumansMaleMiddle AgedMutationPedigreePhenotypeRisk Factorsburden testfamilial strokeNational Institute for Health Research BioResource Rare Disease studywhole‐genome sequencing

Identifiers

PMID39082428
PMCPMC11964016

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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.