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An assessment of sex bias in neurodevelopmental disorders

BACKGROUND: Neurodevelopmental disorders such as autism and intellectual disability have a sex bias skewed towards boys; however, systematic assessment of this bias is complicated by the presence of significant genetic and phenotypic heterogeneity of these disorders. METHODS: To assess the extent an...

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Autores principales: Polyak, Andrew, Rosenfeld, Jill A., Girirajan, Santhosh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549901/
https://www.ncbi.nlm.nih.gov/pubmed/26307204
http://dx.doi.org/10.1186/s13073-015-0216-5
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author Polyak, Andrew
Rosenfeld, Jill A.
Girirajan, Santhosh
author_facet Polyak, Andrew
Rosenfeld, Jill A.
Girirajan, Santhosh
author_sort Polyak, Andrew
collection PubMed
description BACKGROUND: Neurodevelopmental disorders such as autism and intellectual disability have a sex bias skewed towards boys; however, systematic assessment of this bias is complicated by the presence of significant genetic and phenotypic heterogeneity of these disorders. METHODS: To assess the extent and characteristics of sex bias, we analyzed the frequency of comorbid features, the magnitude of genetic load, and the existence of family history within 32,155 individuals ascertained clinically for autism or intellectual disability/developmental delay (ID/DD), including a subset of 8,373 individuals carrying rare copy-number variants (CNVs). RESULTS: We find that girls were more likely than boys to show comorbid features within both autism (P = 2.9 × 10(−6), OR = 1.34) and ID/DD (P = 7.2 × 10(−4), OR = 1.08) cohorts. The frequency of comorbid features in ID/DD was higher in boys (1q21.1 deletion, 15q11.2q13.1 duplication) or girls (15q13.3 deletion, 16p11.2 deletion) carrying specific CNVs associated with variable expressivity while such differences were the smallest for syndromic CNVs (Smith-Magenis syndrome, DiGeorge syndrome). The extent of the male sex bias also varied according to the specific comorbid feature, being most extreme for autism with psychiatric comorbidities and least extreme for autism comorbid with epilepsy. The sex ratio was also specific to certain CNVs, from an 8:1 male:female ratio observed among autistic individuals carrying the 22q11.2 duplication to 1.3:1 male:female ratio in those carrying the 16p11.2 deletion. Girls carried a higher burden of large CNVs compared to boys for autism or ID/DD, and this difference diminished when severe comorbidities were considered. Affected boys showed a higher frequency of neuropsychiatric family histories such as autism (P = 0.01) or specific learning disability (P = 0.03), while affected girls showed a higher frequency of developmental family histories such as growth abnormalities (P = 0.02). CONCLUSIONS: The sex bias within neurodevelopmental disorders is influenced by the presence of specific comorbidities, specific CNVs, mutational burden, and pre-existing family history of neurodevelopmental phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0216-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-45499012015-08-27 An assessment of sex bias in neurodevelopmental disorders Polyak, Andrew Rosenfeld, Jill A. Girirajan, Santhosh Genome Med Research BACKGROUND: Neurodevelopmental disorders such as autism and intellectual disability have a sex bias skewed towards boys; however, systematic assessment of this bias is complicated by the presence of significant genetic and phenotypic heterogeneity of these disorders. METHODS: To assess the extent and characteristics of sex bias, we analyzed the frequency of comorbid features, the magnitude of genetic load, and the existence of family history within 32,155 individuals ascertained clinically for autism or intellectual disability/developmental delay (ID/DD), including a subset of 8,373 individuals carrying rare copy-number variants (CNVs). RESULTS: We find that girls were more likely than boys to show comorbid features within both autism (P = 2.9 × 10(−6), OR = 1.34) and ID/DD (P = 7.2 × 10(−4), OR = 1.08) cohorts. The frequency of comorbid features in ID/DD was higher in boys (1q21.1 deletion, 15q11.2q13.1 duplication) or girls (15q13.3 deletion, 16p11.2 deletion) carrying specific CNVs associated with variable expressivity while such differences were the smallest for syndromic CNVs (Smith-Magenis syndrome, DiGeorge syndrome). The extent of the male sex bias also varied according to the specific comorbid feature, being most extreme for autism with psychiatric comorbidities and least extreme for autism comorbid with epilepsy. The sex ratio was also specific to certain CNVs, from an 8:1 male:female ratio observed among autistic individuals carrying the 22q11.2 duplication to 1.3:1 male:female ratio in those carrying the 16p11.2 deletion. Girls carried a higher burden of large CNVs compared to boys for autism or ID/DD, and this difference diminished when severe comorbidities were considered. Affected boys showed a higher frequency of neuropsychiatric family histories such as autism (P = 0.01) or specific learning disability (P = 0.03), while affected girls showed a higher frequency of developmental family histories such as growth abnormalities (P = 0.02). CONCLUSIONS: The sex bias within neurodevelopmental disorders is influenced by the presence of specific comorbidities, specific CNVs, mutational burden, and pre-existing family history of neurodevelopmental phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0216-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-27 /pmc/articles/PMC4549901/ /pubmed/26307204 http://dx.doi.org/10.1186/s13073-015-0216-5 Text en © Polyak 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
Polyak, Andrew
Rosenfeld, Jill A.
Girirajan, Santhosh
An assessment of sex bias in neurodevelopmental disorders
title An assessment of sex bias in neurodevelopmental disorders
title_full An assessment of sex bias in neurodevelopmental disorders
title_fullStr An assessment of sex bias in neurodevelopmental disorders
title_full_unstemmed An assessment of sex bias in neurodevelopmental disorders
title_short An assessment of sex bias in neurodevelopmental disorders
title_sort assessment of sex bias in neurodevelopmental disorders
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4549901/
https://www.ncbi.nlm.nih.gov/pubmed/26307204
http://dx.doi.org/10.1186/s13073-015-0216-5
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