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Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits

Previous studies have identified differences in DNA methylation in autistic individuals compared to neurotypical individuals. Yet, it is unclear if this extends to autistic traits—subclinical manifestation of autism features in the general population. Here, we investigate the association between DNA...

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Autores principales: Massrali, Aicha, Brunel, Helena, Hannon, Eilis, Wong, Chloe, Baron-Cohen, Simon, Warrier, Varun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637466/
https://www.ncbi.nlm.nih.gov/pubmed/31346403
http://dx.doi.org/10.1186/s13229-019-0279-z
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author Massrali, Aicha
Brunel, Helena
Hannon, Eilis
Wong, Chloe
Baron-Cohen, Simon
Warrier, Varun
author_facet Massrali, Aicha
Brunel, Helena
Hannon, Eilis
Wong, Chloe
Baron-Cohen, Simon
Warrier, Varun
author_sort Massrali, Aicha
collection PubMed
description Previous studies have identified differences in DNA methylation in autistic individuals compared to neurotypical individuals. Yet, it is unclear if this extends to autistic traits—subclinical manifestation of autism features in the general population. Here, we investigate the association between DNA methylation at birth (cord blood), and scores on the Social and Communication Disorders Checklist (SCDC), a measure of autistic traits, in 701 8-year-olds, by conducting a methylome-wide association study (MWAS). We did not identify significant CpGs associated with SCDC. The most significant CpG site was cg14379490, on chromosome 9 (MWAS beta = − 1.78 ± 0.35, p value = 5.34 × 10(−7)). Using methylation data for autism in peripheral tissues, we did not identify a significant concordance in effect direction of CpGs with p value < 10(−4) in the SCDC MWAS (binomial sign test, p value > 0.5). In contrast, using methylation data for autism from post-mortem brain tissues, we identify a significant concordance in effect direction of CpGs with a p value < 10(−4) in the SCDC MWAS (binomial sign test, p value = 0.004). Supporting this, we observe an enrichment for genes that are dysregulated in the post-mortem autism brain (one-sided Wilcoxon rank-sum test, p value = 6.22 × 10(−5)). Finally, integrating genome-wide association study (GWAS) data for autism (n = 46,350) with mQTL maps from cord-blood (n = 771), we demonstrate that mQTLs of CpGs associated with SCDC scores at p value thresholds of 0.01 and 0.005 are significantly shifted toward lower p values in the GWAS for autism (p < 5 × 10(−3)). We provide additional support for this using a GWAS of SCDC, and demonstrate a lack of enrichment in a GWAS of Alzheimer’s disease. Our results highlight the shared cross-tissue methylation architecture of autism and autistic traits, and demonstrate that mQTLs associated with differences in DNA methylation associated with childhood autistic traits are enriched for common genetic variants associated with autism and autistic traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-019-0279-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-66374662019-07-25 Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits Massrali, Aicha Brunel, Helena Hannon, Eilis Wong, Chloe Baron-Cohen, Simon Warrier, Varun Mol Autism Research Previous studies have identified differences in DNA methylation in autistic individuals compared to neurotypical individuals. Yet, it is unclear if this extends to autistic traits—subclinical manifestation of autism features in the general population. Here, we investigate the association between DNA methylation at birth (cord blood), and scores on the Social and Communication Disorders Checklist (SCDC), a measure of autistic traits, in 701 8-year-olds, by conducting a methylome-wide association study (MWAS). We did not identify significant CpGs associated with SCDC. The most significant CpG site was cg14379490, on chromosome 9 (MWAS beta = − 1.78 ± 0.35, p value = 5.34 × 10(−7)). Using methylation data for autism in peripheral tissues, we did not identify a significant concordance in effect direction of CpGs with p value < 10(−4) in the SCDC MWAS (binomial sign test, p value > 0.5). In contrast, using methylation data for autism from post-mortem brain tissues, we identify a significant concordance in effect direction of CpGs with a p value < 10(−4) in the SCDC MWAS (binomial sign test, p value = 0.004). Supporting this, we observe an enrichment for genes that are dysregulated in the post-mortem autism brain (one-sided Wilcoxon rank-sum test, p value = 6.22 × 10(−5)). Finally, integrating genome-wide association study (GWAS) data for autism (n = 46,350) with mQTL maps from cord-blood (n = 771), we demonstrate that mQTLs of CpGs associated with SCDC scores at p value thresholds of 0.01 and 0.005 are significantly shifted toward lower p values in the GWAS for autism (p < 5 × 10(−3)). We provide additional support for this using a GWAS of SCDC, and demonstrate a lack of enrichment in a GWAS of Alzheimer’s disease. Our results highlight the shared cross-tissue methylation architecture of autism and autistic traits, and demonstrate that mQTLs associated with differences in DNA methylation associated with childhood autistic traits are enriched for common genetic variants associated with autism and autistic traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13229-019-0279-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-17 /pmc/articles/PMC6637466/ /pubmed/31346403 http://dx.doi.org/10.1186/s13229-019-0279-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Massrali, Aicha
Brunel, Helena
Hannon, Eilis
Wong, Chloe
Baron-Cohen, Simon
Warrier, Varun
Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
title Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
title_full Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
title_fullStr Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
title_full_unstemmed Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
title_short Integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
title_sort integrated genetic and methylomic analyses identify shared biology between autism and autistic traits
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637466/
https://www.ncbi.nlm.nih.gov/pubmed/31346403
http://dx.doi.org/10.1186/s13229-019-0279-z
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