Evidence map›Paper›PMID 35992618›Full record

ArticleJCPP advances2021

Mapping the genetic and environmental aetiology of autistic traits in Sweden and the United Kingdom.

Zoe E Reed, Henrik Larsson, Claire M A Haworth, Dheeraj Rai, Sebastian Lundström, Angelica Ronald, Abraham Reichenberg, Paul Lichtenstein, Oliver S P Davis

Abstract read
In one paragraph

Article in JCPP advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Mapping associations of polygenic scores with autistic and ADHD traits in a single city region.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  4. Where you live matters: visualizing environmental effects on reading attainment.Journal of child psychology and psychiatry, and allied disciplines · 2024
    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

9 authors.

Zoe E ReedMRC Integrative Epidemiology Unit University of Bristol Bristol UK.ORCID https://orcid.org/0000-0002-2990-6979
Henrik LarssonSchool of Medical Sciences Örebro University Örebro Sweden.
Claire M A HaworthNational Institute for Health Research Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust and the University of Bristol Bristol UK.
Dheeraj RaiDepartment of Population Health Sciences Bristol Medical School University of Bristol Bristol UK.
Sebastian LundströmGillberg Neuropsychiatry Centre Centre for Ethics, Law and Mental Health University of Gothenburg Gothenburg Sweden.
Angelica RonaldDepartment of Psychological Sciences Birkbeck, University of London London UK.
Abraham ReichenbergDepartment of Psychiatry and Seaver Autism Center for Research and Treatment Ichan School of Medicine at Mount Sinai New York City New York USA.
Paul LichtensteinDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Solna Sweden.
Oliver S P DavisMRC Integrative Epidemiology Unit University of Bristol Bristol UK.

Funding

Medical Research Council MR/M021475/1Wellcome Trust
6 · The paper itself

Abstract

Background: Autistic traits are influenced by both genetic and environmental factors, and are known to vary geographically in prevalence. But to what extent does their aetiology also vary from place to place? Methods: We applied a novel spatial approach to data on autistic traits from two large twin studies, the Child and Adolescent Twin Study in Sweden (CATSS; Results: We present maps of gene- and environment- by geography interactions in Sweden and the United Kingdom (UK), showing geographical variation in both genetic and environmental influences across the two countries. In Sweden genetic influences appear higher in the far south and in a band running across the centre of the country. Environmental influences appear greatest in the south and north, with reduced environmental influence across the central band. In the UK genetic influences appear greater in the south, particularly in more central southern areas and the southeast, the Midlands and the north of England. Environmental influences appear greatest in the south and east of the UK, with less influence in the north and the west. Conclusions: We hope this systematic approach to identifying aetiological interactions will inspire research to examine a wider range of previously unknown environmental influences on the aetiology of autistic traits. By doing so, we will gain greater understanding of how these environments draw out or mask genetic predisposition and interact with other environmental influences in the development of autistic traits.

Indexed as

autismCATSSenvironmentgeneticsgeographical variationTEDS

Identifiers

PMID35992618
PMCPMC9379966

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.