Evidence map›Paper›PMID 36453528›Full record

ArticleeLife2022

Evaluation of in silico predictors on short nucleotide variants in

Stella Tamana, Maria Xenophontos, Anna Minaidou, Coralea Stephanou, Cornelis L Harteveld, Celeste Bento, Joanne Traeger-Synodinos, Irene Fylaktou, Norafiza Mohd Yasin, Faidatul Syazlin Abdul Hamid and 7 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

17 authors at 6 institutions in 5 countries.

Stella Tamana *Molecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.ORCID 0000-0002-3414-4972
Maria Xenophontos *Molecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.ORCID 0000-0001-5978-0193
Anna MinaidouMolecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
Coralea StephanouMolecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
Cornelis L HarteveldMolecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
Celeste BentoCentro Hospitalar e Universitário de Coimbra, Coimbra, Portugal.
Joanne Traeger-SynodinosLaboratory of Medical Genetics, National and Kapodistrian University of Athens, Athens, Greece.ORCID 0000-0002-1860-5628
Irene FylaktouDivision of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens, Athens, Greece.
Norafiza Mohd YasinHaematology Unit, Cancer Research Centre, Institute for Medical Research, National Health of Institutes (NIH), Ministry of Health Malaysia, Selangor, Malaysia.
Faidatul Syazlin Abdul HamidHaematology Unit, Cancer Research Centre, Institute for Medical Research, National Health of Institutes (NIH), Ministry of Health Malaysia, Selangor, Malaysia.
Ezalia EsaHaematology Unit, Cancer Research Centre, Institute for Medical Research, National Health of Institutes (NIH), Ministry of Health Malaysia, Selangor, Malaysia.
Hashim Halim-FikriMalaysian Node of the Human Variome Project, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.
Bin Alwi ZilfalilHuman Genome Centre, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kelantan, Malaysia.
Andrea C KakouriMolecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
ClinGen Hemoglobinopathy Variant Curation Expert Panel
Marina Kleanthous *Molecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.
Petros Kountouris *Molecular Genetics Thalassaemia Department, The Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus.ORCID 0000-0003-2681-4355
Cyprus Institute of Neurology and Genetics · CYMinistry of Health · MYNational and Kapodistrian University of Athens · GRUniversiti Sains Malaysia · MYHospitais da Universidade de Coimbra · PTLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haemoglobinopathies are the commonest monogenic diseases worldwide and are caused by variants in the globin gene clusters. With over 2400 variants detected to date, their interpretation using the American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) guidelines is challenging and computational evidence can provide valuable input about their functional annotation. While many in silico predictors have already been developed, their performance varies for different genes and diseases. In this study, we evaluate 31 in silico predictors using a dataset of 1627 variants in

Indexed as

GenomicsNucleotidesHumansPathology, MolecularUniversitiesNucleotidescomputational biologygeneticsgenomicsglobin geneshaemoglobinopathieshumanin silico predictionsystems biologythalassaemiavariant classification

Identifiers

PMID36453528
PMCPMC9731569
OpenAlexW4311097172

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.