Evidence map›Paper›PMID 32619640›Full record

ArticleThe Journal of molecular diagnostics : JMD2020

Improved Diagnosis of Rare Disease Patients through Systematic Detection of Runs of Homozygosity.

Leslie Matalonga, Steven Laurie, Anastasios Papakonstantinou, Davide Piscia, Elisabetta Mereu, Gemma Bullich, Rachel Thompson, Rita Horvath, Luis Pérez-Jurado, Olaf Riess and 5 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-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

14 citing papers in PubMed, 32 citations in OpenAlex.

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  14. Panorama of the distal myopathies.Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 6 countries.

Leslie MatalongaCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Steven LaurieCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Anastasios PapakonstantinouCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Davide PisciaCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Elisabetta MereuCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Gemma BullichCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Rachel ThompsonDepartment of Medicine, Division of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Ottawa, Ontario, Canada; Brain and Mind Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
Rita HorvathDepartment of Clinical Neurosciences, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, United Kingdom.
Luis Pérez-JuradoHospital del Mar Research Institute (IMIM), Barcelona, Spain; Hospital del Mar Research Institute (IMIM) and Centro de Investigación Biomédica en Red-Enfermedades Raras (CIBERER), Barcelona, Spain; Women's and Children Hospital, South Australian Health and Medical Research Institute and The University of Adelaide, Adelaide, South Australia, Australia.
Olaf RiessInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Ivo GutCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain.
Gert-Jan van OmmenDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Hanns LochmüllerCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain; Department of Medicine, Division of Neurology, Children's Hospital of Eastern Ontario Research Institute, The Ottawa Hospital, Ottawa, Ontario, Canada; Brain and Mind Research Institute, University of Ottawa, Ottawa, Ontario, Canada; Department of Neuropediatrics and Muscle Disorders, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany.
Sergi BeltranCentro Nacional de Análisis Genómico (CNAG)-Centro de Regulación Genómica (CRG), Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain. Electronic address: sergi.beltran@cnag.crg.eu.
RD–Connect Genome-Phenome Analysis Platform and URD-Cat Data Contributors
Centre for Genomic Regulation · ESLeiden University Medical Center · NLUniversity of Ottawa · CACentre for Biomedical Network Research on Rare Diseases · ESUniversitat Pompeu Fabra · ESUniversity of Cambridge · GBUniversity of Tübingen · DE

Funding

European Research Council 309548Medical Research Council G1000848Medical Research Council MR/N010035/1Medical Research Council MR/N025431/1Medical Research Council MR/N025431/2Medical Research Council MR/N027302/1Wellcome TrustWellcome Trust 109915/Z/15/ZWellcome Trust 201064/Z/16/Z
6 · The paper itself

Abstract

Autozygosity is associated with an increased risk of genetic rare disease, thus being a relevant factor for clinical genetic studies. More than 2400 exome sequencing data sets were analyzed and screened for autozygosity on the basis of detection of >1 Mbp runs of homozygosity (ROHs). A model was built to predict if an individual is likely to be a consanguineous offspring (accuracy, 98%), and probability of consanguinity ranges were established according to the total ROH size. Application of the model resulted in the reclassification of the consanguinity status of 12% of the patients. The analysis of a subset of 79 consanguineous cases with the Rare Disease (RD)-Connect Genome-Phenome Analysis Platform, combining variant filtering and homozygosity mapping, enabled a 50% reduction in the number of candidate variants and the identification of homozygous pathogenic variants in 41 patients, with an overall diagnostic yield of 52%. The newly defined consanguinity ranges provide, for the first time, specific ROH thresholds to estimate inbreeding within a pedigree on disparate exome sequencing data, enabling confirmation or (re)classification of consanguineous status, hence increasing the efficiency of molecular diagnosis and reporting on secondary consanguinity findings, as recommended by American College of Medical Genetics and Genomics guidelines.

Indexed as

HomozygoteConsanguinityExomeExome SequencingGenome, HumanHumansModels, GeneticMolecular Diagnostic TechniquesPedigreePolymorphism, Single NucleotideRare Diseases

Identifiers

PMID32619640
PMCPMC7477492
OpenAlexW3039523463

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.