Evidence map›Paper›PMID 32337850›Full record

ArticleMolecular genetics & genomic medicine2020

The phenotype-driven computational analysis yields clinical diagnosis for patients with atypical manifestations of known intellectual disability syndromes.

Aleksandra Jezela-Stanek, Elżbieta Ciara, Dorota Jurkiewicz, Marzena Kucharczyk, Maria Jędrzejowska, Krystyna H Chrzanowska, Małgorzata Krajewska-Walasek, Tomasz Żemojtel

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Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Aleksandra Jezela-StanekDepartment of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, Warsaw, Poland.
Elżbieta CiaraDepartment of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland.
Dorota JurkiewiczDepartment of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland.
Marzena KucharczykDepartment of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland.
Maria JędrzejowskaDepartment of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland.
Krystyna H ChrzanowskaDepartment of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland.
Małgorzata Krajewska-WalasekDepartment of Medical Genetics, The Children's Memorial Health Institute, Warsaw, Poland.
Tomasz ŻemojtelGenomics Platform, Berlin Institute of Health, Berlin, Germany.ORCID 0000-0002-3794-7623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to extensive clinical and genetic heterogeneity of intellectual disability (ID) syndromes, the process of diagnosis is very challenging even for expert clinicians. Despite recent advancements in molecular diagnostics methodologies, a significant fraction of ID patients remains without a clinical diagnosis. METHODS, RESULTS, AND

conclusionsHere, in a prospective study on a cohort of 21 families (trios) with a child presenting with ID of unknown etiology, we executed phenotype-driven bioinformatic analysis method, PhenIX, utilizing targeted next-generation sequencing (NGS) data and Human Phenotype Ontology (HPO)-encoded phenotype data. This approach resulted in clinical diagnosis for eight individuals presenting with atypical manifestations of Rubinstein-Taybi syndrome 2 (MIM 613684), Spastic Paraplegia 50 (MIM 612936), Wiedemann-Steiner syndrome (MIM 605130), Cornelia de Lange syndrome 2 (MIM 300590), Cerebral creatine deficiency syndrome 1 (MIM 300352), Glass Syndrome (MIM 612313), Mental retardation, autosomal dominant 31 (MIM 616158), and Bosch-Boonstra-Schaaf optic atrophy syndrome (MIM 615722).

Indexed as

PhenotypeAdolescentChildChild, PreschoolDatabases, GeneticDevelopmental DisabilitiesDiagnosis, Computer-AssistedFemaleGenetic TestingHumansIntellectual DisabilityMaleMutationPedigreeSequence Analysis, DNAAP4M1dysmorphologyEP300HPOintellectual disability patientsKMT2ANR2F1PhenIXPhenomizerPURASATB2SLC6A8SMC1A

Identifiers

PMID32337850
PMCPMC7507388

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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.