Evidence map›Paper›PMID 32596987›Full record

ArticleBrain and behavior2020

Identifying interactive biological pathways associated with reading disability.

Hope Sparks Lancaster, Xiaonan Liu, Valentin Dinu, Jing Li

Abstract read
In one paragraph

Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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

5 citing papers in PubMed.

  1. Article
  2. [The application of machine learning in the auxiliary diagnosis of specific learning disorder].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Review
  3. Article
  4. Article
  5. Article
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

4 authors.

Hope Sparks LancasterCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-9924-9508
Xiaonan LiuDepartment of Computing, Informatics, and Decision Systems Engineering, Schools of Engineering, Arizona State University, Tempe, AZ, USA.
Valentin DinuCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.
Jing LiSchool of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

Genotype-Phenotype Associations in Reading DisordersF32HD089674 · NICHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LANCASTER, HOPE SPARKS · 2017 to 2019
$189k
Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NICHD NIH HHS F32 HD089674Wellcome 102215/2/13/2Wellcome Trust
6 · The paper itself

Abstract

introductionPast research has suggested that reading disability is a complex disorder involving genetic and environment contributions, as well as gene-gene and gene-environment interaction, but to date little is known about the underlying mechanisms.

methodUsing the Avon Longitudinal Study of Parents and Children, we assessed the contributions of genetic, demographic, and environmental variables on case-control status using machine learning. We investigated the functional interactions between genes using pathway and network analysis.

resultsOur results support a systems approach to studying the etiology of reading disability with many genes (e.g., RAPGEF2, KIAA0319, DLC1) and biological pathways (e.g., neuron migration, positive regulation of dendrite regulation, nervous system development) interacting with each other. We found that single nucleotide variants within genes often had opposite effects and that enriched biological pathways were mediated by neuron migration. We also identified behavioral (i.e., receptive language, nonverbal intelligence, and vocabulary), demographic (i.e., mother's highest education), and environmental (i.e., birthweight) factors that influenced case-control status when accounting for genetic information. DISCUSSION: The behavioral and demographic factors were suggested to be protective against reading disability status, while birthweight conveyed risk. We provided supporting evidence that reading disability has a complex biological and environmental etiology and that there may be a shared genetic and neurobiological architecture for reading (dis)ability.

Indexed as

DyslexiaGene-Environment InteractionChildFemaleHumansLanguageLongitudinal StudiesMaleVocabularycognitiondevelopmentgeneticsinformatics

Identifiers

PMID32596987
PMCPMC7428467

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.