Cargando…
A comprehensive meta-analysis of common genetic variants in autism spectrum conditions
BACKGROUND: Autism spectrum conditions (ASC) are a group of neurodevelopmental conditions characterized by difficulties in social interaction and communication alongside repetitive and stereotyped behaviours. ASC are heritable, and common genetic variants contribute substantial phenotypic variabilit...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552442/ https://www.ncbi.nlm.nih.gov/pubmed/26322220 http://dx.doi.org/10.1186/s13229-015-0041-0 |
_version_ | 1782387728320561152 |
---|---|
author | Warrier, Varun Chee, Vivienne Smith, Paula Chakrabarti, Bhismadev Baron-Cohen, Simon |
author_facet | Warrier, Varun Chee, Vivienne Smith, Paula Chakrabarti, Bhismadev Baron-Cohen, Simon |
author_sort | Warrier, Varun |
collection | PubMed |
description | BACKGROUND: Autism spectrum conditions (ASC) are a group of neurodevelopmental conditions characterized by difficulties in social interaction and communication alongside repetitive and stereotyped behaviours. ASC are heritable, and common genetic variants contribute substantial phenotypic variability. More than 600 genes have been implicated in ASC to date. However, a comprehensive investigation of candidate gene association studies in ASC is lacking. METHODS: In this study, we systematically reviewed the literature for association studies for 552 genes associated with ASC. We identified 58 common genetic variants in 27 genes that have been investigated in three or more independent cohorts and conducted a meta-analysis for 55 of these variants. We investigated publication bias and sensitivity and performed stratified analyses for a subset of these variants. RESULTS: We identified 15 variants nominally significant for the mean effect size, 8 of which had P values below a threshold of significance of 0.01. Of these 15 variants, 11 were re-investigated for effect sizes and significance in the larger Psychiatric Genomics Consortium dataset, and none of them were significant. Effect direction for 8 of the 11 variants were concordant between both the datasets, although the correlation between the effect sizes from the two datasets was poor and non-significant. CONCLUSIONS: This is the first study to comprehensively examine common variants in candidate genes for ASC through meta-analysis. While for majority of the variants, the total sample size was above 500 cases and 500 controls, the total sample size was not large enough to accurately identify common variants that contribute to the aetiology of ASC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13229-015-0041-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4552442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45524422015-08-29 A comprehensive meta-analysis of common genetic variants in autism spectrum conditions Warrier, Varun Chee, Vivienne Smith, Paula Chakrabarti, Bhismadev Baron-Cohen, Simon Mol Autism Research BACKGROUND: Autism spectrum conditions (ASC) are a group of neurodevelopmental conditions characterized by difficulties in social interaction and communication alongside repetitive and stereotyped behaviours. ASC are heritable, and common genetic variants contribute substantial phenotypic variability. More than 600 genes have been implicated in ASC to date. However, a comprehensive investigation of candidate gene association studies in ASC is lacking. METHODS: In this study, we systematically reviewed the literature for association studies for 552 genes associated with ASC. We identified 58 common genetic variants in 27 genes that have been investigated in three or more independent cohorts and conducted a meta-analysis for 55 of these variants. We investigated publication bias and sensitivity and performed stratified analyses for a subset of these variants. RESULTS: We identified 15 variants nominally significant for the mean effect size, 8 of which had P values below a threshold of significance of 0.01. Of these 15 variants, 11 were re-investigated for effect sizes and significance in the larger Psychiatric Genomics Consortium dataset, and none of them were significant. Effect direction for 8 of the 11 variants were concordant between both the datasets, although the correlation between the effect sizes from the two datasets was poor and non-significant. CONCLUSIONS: This is the first study to comprehensively examine common variants in candidate genes for ASC through meta-analysis. While for majority of the variants, the total sample size was above 500 cases and 500 controls, the total sample size was not large enough to accurately identify common variants that contribute to the aetiology of ASC. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13229-015-0041-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-28 /pmc/articles/PMC4552442/ /pubmed/26322220 http://dx.doi.org/10.1186/s13229-015-0041-0 Text en © Warrier et al. 2015 Open Access This 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 Warrier, Varun Chee, Vivienne Smith, Paula Chakrabarti, Bhismadev Baron-Cohen, Simon A comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
title | A comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
title_full | A comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
title_fullStr | A comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
title_full_unstemmed | A comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
title_short | A comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
title_sort | comprehensive meta-analysis of common genetic variants in autism spectrum conditions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552442/ https://www.ncbi.nlm.nih.gov/pubmed/26322220 http://dx.doi.org/10.1186/s13229-015-0041-0 |
work_keys_str_mv | AT warriervarun acomprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT cheevivienne acomprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT smithpaula acomprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT chakrabartibhismadev acomprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT baroncohensimon acomprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT warriervarun comprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT cheevivienne comprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT smithpaula comprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT chakrabartibhismadev comprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions AT baroncohensimon comprehensivemetaanalysisofcommongeneticvariantsinautismspectrumconditions |