Evidence map›Paper›PMID 30362171›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2019

Integrative network analysis reveals biological pathways associated with Williams syndrome.

Ryo Kimura, Vivek Swarup, Kiyotaka Tomiwa, Michael J Gandal, Neelroop N Parikshak, Yasuko Funabiki, Masatoshi Nakata, Tomonari Awaya, Takeo Kato, Kei Iida and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

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  6. Review
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  10. Integrated DNA methylation analysis reveals a potential role for ANKRD30B in Williams syndrome.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020
    Article
  11. Article
  12. Birdsong as a window into language origins and evolutionary neuroscience.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
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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 3 institutions in 2 countries.

Ryo KimuraDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0003-3220-991X
Vivek SwarupProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Kiyotaka TomiwaDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Michael J GandalProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Neelroop N ParikshakProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Yasuko FunabikiDepartment of Cognitive and Behavioral Science, Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan.
Masatoshi NakataDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomonari AwayaDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takeo KatoDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kei IidaMedical Research Support Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shin OkazakiDepartment of Child Neurology, Osaka City General Hospital, Osaka, Japan.
Kanae MatsushimaDepartment of Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Toshihiro KatoDepartment of Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Toshiya MuraiDepartment of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Toshio HeikeDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Daniel H GeschwindProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Masatoshi HagiwaraDepartment of Anatomy and Developmental Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kyoto University · JPUniversity of California, Los Angeles · USOsaka City General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWilliams syndrome (WS) is a neurodevelopmental disorder that has been attributed to heterozygous deletions in chromosome 7q11.23 and exhibits a variety of physical, cognitive, and behavioral features. However, the genetic basis of this phenotypic variability is unclear. In this study, we identified genetic clues underlying these complex phenotypes.

methodsNeurobehavioral function was assessed in WS patients and healthy controls. Total RNA was extracted from peripheral blood and subjected to microarray analysis, RNA-sequencing, and qRT-PCR. Weighted gene co-expression network analysis was performed to identify specific alterations related to intermediate disease phenotypes. To functionally interpret each WS-related module, gene ontology and disease-related gene enrichment were examined. We also investigated the micro (mi)RNA expression profiles and miRNA co-expression networks to better explain the regulation of the transcriptome in WS.

resultsOur analysis identified four significant co-expression modules related to intermediate WS phenotypes. Notably, the three upregulated WS-related modules were composed exclusively of genes located outside the 7q11.23 region. They were significantly enriched in genes related to B-cell activation, RNA processing, and RNA transport. BCL11A, which is known for its association with speech disorders and intellectual disabilities, was identified as one of the hub genes in the top WS-related module. Finally, these key upregulated mRNA co-expression modules appear to be inversely correlated with a specific downregulated WS-related miRNA co-expression module.

conclusionsDysregulation of the mRNA/miRNA network involving genes outside of the 7q11.23 region is likely related to the complex phenotypes observed in WS patients.

Indexed as

Gene Expression ProfilingAutism Spectrum DisorderChildChromosomes, Human, Pair 7Gene ExpressionHumansMicroRNAsRNA, MessengerWilliams SyndromeMicroRNAsRNA, Messengerautism spectrum disordergeneticsWilliams syndrome

Identifiers

PMID30362171
PMCPMC7379192
OpenAlexW2898414657

What OpenQuestion holds

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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.