JCPP AdvancesGeneticsPeer-reviewed journal article
Mapping the genetic and environmental aetiology of autistic traits in Sweden and the United Kingdom
Zoe E. ReediD, Henrik LarssoniD, Claire M. A. HaworthiD, Dheeraj RaiiD, Sebastian LundströmiD, Angelica RonaldiD, Abraham ReichenbergiD, Paul LichtensteiniD, Oliver S. P. DavisiD
Abstract
BackgroundAutistic 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? MethodsWe applied a novel spatial approach to data on autistic traits from two large twin studies, the Child and Adolescent Twin Study in Sweden (CATSS; N=16,677, including 8,307 twin pairs) and the Twins Early Development Study in the UK (TEDS; N=11,594, including 5,796 twin pairs), to explore how the influence of nature and nurture on autistic traits varies from place to place. ResultsWe 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. ConclusionsWe 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.
- organism: human
- assay: electronic health records
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 4
- FWCI
- 0.39
- Field percentile
- top 45%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort
Oliver Gale‐Grant, Andrew T. M. Chew, … Dafnis Batallé·bioRxiv·Sep 26, 2022
- Social and non-social autism symptom and trait domains are genetically dissociable
Varun Warrier, Roberto Toro, … Simon Baron‐Cohen·Communications BiologyPeer-reviewed·Sep 3, 2019
- Exploring autism and autism co-occurring condition associations to elucidate multivariate genetic mechanisms and insights
Karoliina Salenius, Niina Väljä, … Jake Lin·medRxiv·Jan 7, 2024
- Structural models of genome-wide covariance identify multiple common dimensions in autism
Lucía de Hoyos, M. T. Barendse, … Beaté St Pourcain·Nature CommunicationsPeer-reviewed·Feb 27, 2024
- Genetic Influences on Educational Attainment Through the Lens of the Evolving Swedish Welfare State: A cross-level gene-environment interaction study based on polygenic indices and longitudinal register data
Oskar Pettersson·bioRxiv·Nov 2, 2023
- An unbiased de novo network analysis uncovering causal genes and the developmental intersection between autism and co-occurring traits
Catriona J. Miller, Evgeniia Golovina, … Justin Martin O'Sullivan·medRxiv·Apr 24, 2023