Evidence map›Paper›PMID 33483490›Full record

ArticleNature communications2021

AutoMap is a high performance homozygosity mapping tool using next-generation sequencing data.

Mathieu Quinodoz, Virginie G Peter, Nicola Bedoni, Béryl Royer Bertrand, Katarina Cisarova, Arash Salmaninejad, Neda Sepahi, Raquel Rodrigues, Mehran Piran, Majid Mojarrad and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed
9.4field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 163 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

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

16 authors at 6 institutions in 4 countries.

Mathieu QuinodozInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.
Virginie G PeterInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.ORCID 0000-0001-8157-9568
Nicola BedoniService of Medical Genetics, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Béryl Royer BertrandService of Medical Genetics, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Katarina CisarovaService of Medical Genetics, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Arash SalmaninejadDepartment of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0001-6141-3915
Neda SepahiNoncommunicable Diseases Research Center, Fasa University of Sciences, Fasa, Iran.
Raquel RodriguesDepartment of Medical Genetics, Hospital Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon Academic Medical Center (CAML), Lisbon, Portugal.
Mehran PiranNoncommunicable Diseases Research Center, Fasa University of Sciences, Fasa, Iran.
Majid MojarradDepartment of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Alireza PasdarDepartment of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID 0000-0002-7864-9729
Ali Ghanbari AsadNoncommunicable Diseases Research Center, Fasa University of Sciences, Fasa, Iran.ORCID 0000-0001-6423-4680
Ana Berta SousaDepartment of Medical Genetics, Hospital Santa Maria, Centro Hospitalar Universitário Lisboa Norte (CHULN), Lisbon Academic Medical Center (CAML), Lisbon, Portugal.
Luisa Coutinho SantosInstituto de Oftalmologia Dr Gama Pinto, Lisbon, Portugal.ORCID 0000-0002-6181-4505
Andrea Superti-FurgaService of Medical Genetics, Lausanne University Hospital (CHUV), Lausanne, Switzerland.ORCID 0000-0002-3543-7531
Carlo RivoltaInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland. carlo.rivolta@iob.ch.ORCID 0000-0002-0733-9950
Mashhad University of Medical Sciences · IRUniversity of Leicester · GBFasa University of Medical Sciences · IRCentro Hospitalar Lisboa Norte · PTShiraz University of Medical Sciences · IRUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homozygosity mapping is a powerful method for identifying mutations in patients with recessive conditions, especially in consanguineous families or isolated populations. Historically, it has been used in conjunction with genotypes from highly polymorphic markers, such as DNA microsatellites or common SNPs. Traditional software performs rather poorly with data from Whole Exome Sequencing (WES) and Whole Genome Sequencing (WGS), which are now extensively used in medical genetics. We develop AutoMap, a tool that is both web-based or downloadable, to allow performing homozygosity mapping directly on VCF (Variant Call Format) calls from WES or WGS projects. Following a training step on WES data from 26 consanguineous families and a validation procedure on a matched cohort, our method shows higher overall performances when compared with eight existing tools. Most importantly, when tested on real cases with negative molecular diagnosis from an internal set, AutoMap detects three gene-disease and multiple variant-disease associations that were previously unrecognized, projecting clear benefits for both molecular diagnosis and research activities in medical genetics.

Indexed as

Polymorphism, Single NucleotideSoftwareChromosome MappingComputational BiologyExome SequencingGenetic Predisposition to DiseaseGenome, HumanGenotypeHigh-Throughput Nucleotide SequencingHomozygoteHumansInternetMutationReproducibility of Results

Identifiers

PMID33483490
PMCPMC7822856
OpenAlexW3123074199

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.