Evidence map›Paper›PMID 35234913›Full record

ArticleNucleic acids research2022

GREEN-DB: a framework for the annotation and prioritization of non-coding regulatory variants from whole-genome sequencing data.

Edoardo Giacopuzzi, Niko Popitsch, Jenny C Taylor

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  9. Noncoding variants are a rare cause of recessive developmental disorders in trans with coding variants.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
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  16. Newborn Screening by Genomic Sequencing: Opportunities and Challenges.International journal of neonatal screening · 2022
    Article
  17. Article
  18. 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

3 authors at 2 institutions in 2 countries.

Edoardo GiacopuzziWellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.ORCID 0000-0002-5692-366X
Niko PopitschWellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Jenny C TaylorWellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
Centre for Human Genetics · GBUniversity of Vienna · AT

Funding

Wellcome TrustWellcome Trust 203141/Z/16/ZWellcome Trust R6-388 / WT 100127
6 · The paper itself

Abstract

Non-coding variants have long been recognized as important contributors to common disease risks, but with the expansion of clinical whole genome sequencing, examples of rare, high-impact non-coding variants are also accumulating. Despite recent advances in the study of regulatory elements and the availability of specialized data collections, the systematic annotation of non-coding variants from genome sequencing remains challenging. Here, we propose a new framework for the prioritization of non-coding regulatory variants that integrates information about regulatory regions with prediction scores and HPO-based prioritization. Firstly, we created a comprehensive collection of annotations for regulatory regions including a database of 2.4 million regulatory elements (GREEN-DB) annotated with controlled gene(s), tissue(s) and associated phenotype(s) where available. Secondly, we calculated a variation constraint metric and showed that constrained regulatory regions associate with disease-associated genes and essential genes from mouse knock-outs. Thirdly, we compared 19 non-coding impact prediction scores providing suggestions for variant prioritization. Finally, we developed a VCF annotation tool (GREEN-VARAN) that can integrate all these elements to annotate variants for their potential regulatory impact. In our evaluation, we show that GREEN-DB can capture previously published disease-associated non-coding variants as well as identify additional candidate disease genes in trio analyses.

Indexed as

Molecular Sequence AnnotationAnimalsBase SequenceMiceWhole Genome Sequencing

Identifiers

PMID35234913
PMCPMC8934622
OpenAlexW4213280285

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.