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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6637466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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