Evidence map›Paper›PMID 32830427›Full record

ArticleAutism research : official journal of the International Society for Autism Research2020

Environment-Wide Association Study (E

Masoud Amiri, Sander Lamballais, Eloy Geenjaar, Laura M E Blanken, Hanan El Marroun, Henning Tiemeier, Tonya White

Open access · hybridAbstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 20% 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, 28 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Masoud AmiriDepartment of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-5145-4833
Sander LamballaisDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Eloy GeenjaarDelft University of Technology, Delft, The Netherlands.
Laura M E BlankenDepartment of Psychiatry, Academic Medical Center, Amsterdam, The Netherlands.
Hanan El MarrounDepartment of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Henning TiemeierDepartment of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Tonya WhiteDepartment of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Erasmus MC · NLAmsterdam UMC Location University of Amsterdam · NLDelft University of Technology · NLHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A combination of genetic and environmental factors contributes to the origins of autism spectrum disorder (ASD). While a number of studies have described specific environmental factors associating with emerging ASD, studies that compare and contrast multiple environmental factors in the same study are lacking. Thus, the goal of this study was to perform a prospective, data-driven environmental-wide association study of pre- and perinatal factors associated with the later development of autistic symptoms in childhood. The participants included 3891 6-year-old children from a birth cohort with pre- and perinatal data. Autistic symptoms were measured using the Social Responsiveness Scale in all children. Prior to any analyses, the sample was randomly split into a discovery set (2920) and a test set (921). Multiple linear regression analyses were performed for each of 920 variables, correcting for six of the most common covariates in epidemiological studies. We found 111 different pre- and perinatal factors associated with autistic traits during childhood. In secondary analyses where we controlled for parental psychopathology, 23 variables in the domains of family and interpersonal relationships were associated with the development of autistic symptoms during childhood. In conclusion, a data-driven approach was used to identify a number of pre- and perinatal risk factors associating with higher childhood autistic symptoms. These factors include measures of parental psychopathology and family and interpersonal relationships. These measures could potentially be used for the early identification of those at increased risk to develop ASD. LAY SUMMARY: A combination of genetic and environmental factors contributes to the development of autism spectrum disorder (ASD). Each environmental factor may affect the risk of ASD. In a study on 6-year-old children, a number of pre- and perinatal risk factors were identified that are associated with autistic symptoms in childhood. These factors include measures of parental psychopathology and family and interpersonal relationships. These variables could potentially serve as markers to identify those at increased risk to develop ASD or autistic symptoms. Autism Res 2020, 13: 1582-1600. © 2020 International Society for Autism Research, Wiley Periodicals, Inc.

Indexed as

EnvironmentAutism Spectrum DisorderAutistic DisorderChildFemaleHumansMaleProspective StudiesRisk Factorsautism spectrum disorderautistic traitsenvironment-wide-association studyexposureperinatalprenatal

Identifiers

PMID32830427
PMCPMC7540497
OpenAlexW3081484761

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.