Evidence map›Paper›PMID 33747049›Full record

ArticleFrontiers in genetics2021

Remus: A Web Application for Prioritization of Regulatory Regions and Variants in Monogenic Diseases.

Paweł Sztromwasser, Damian Skrzypczak, Arkadiusz Michalak, Wojciech Fendler

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 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 42% 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

4 authors at 2 institutions in 2 countries.

Paweł SztromwasserDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Łódź, Poland.
Damian SkrzypczakBiostatistics Group, Department of Genetics, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
Arkadiusz MichalakDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Łódź, Poland.
Wojciech FendlerDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Łódź, Poland.
Medical University of Lodz · PLWroclaw University of Environmental and Life Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of variants in distant regulatory elements could improve the current 25-50% yield of genetic testing for monogenic diseases. However, the vast size of the regulome, great number of variants, and the difficulty in predicting their phenotypic impact make searching for pathogenic variants in the regulatory genome challenging. New tools for the identification of regulatory variants based on their relevance to the phenotype are needed.

methodsWe used tissue-specific regulatory

resultsTo evaluate our approach, we used a set of 146 regulatory mutations reported causative for 68 distinct monogenic disorders and a manually curated a list of tissues affected by these disorders. In 89.7% of cases, Remus identified the regulator containing the pathogenic mutation. The tissue-specific search limited the number of considered variants by 82.5% as compared to a tissue-agnostic search.

conclusionRemus facilitates the identification of regulatory regions potentially associated with a monogenic disease and can supplement classical analysis of coding variations with the aim of improving the diagnostic yield in whole-genome sequencing experiments.

Indexed as

monogenic disorderregulatory regionsregulatory variantsvariant prioritizationweb applicationwhole-genome sequencing

Identifiers

PMID33747049
PMCPMC7978111
OpenAlexW3133904077

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.