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A Genetic Investigation of Sex Bias in the Prevalence of Attention-Deficit/Hyperactivity Disorder
Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Stockholm, Sweden; Stanley Center for Psychiatric Research, Broad Institute, Cambridge Massachusetts, United States; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston Massachusetts, United States; MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge Massachusetts, United States; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston Massachusetts, United States.
Centre for Integrative Sequencing [iSEQ], Aarhus University, Aarhus, Roskilde, Denmark; Department of Biomedicine–Human Genetics, Aarhus University, Aarhus, Roskilde, Denmark.
Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden; Lundbeck Foundation Initiative for Integrative Psychiatric Research [iPSYCH], Aarhus, Roskilde, Denmark; Centre for Integrative Sequencing [iSEQ], Aarhus University, Aarhus, Roskilde, Denmark; Department of Biomedicine–Human Genetics, Aarhus University, Aarhus, Roskilde, Denmark.
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2018 (English)In: Biological Psychiatry, ISSN 0006-3223, E-ISSN 1873-2402, Vol. 83, no 12, p. 1044-1053Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) shows substantial heritability and is two to seven times more common in male individuals than in female individuals. We examined two putative genetic mechanisms underlying this sex bias: sex-specific heterogeneity and higher burden of risk in female cases.

METHODS: We analyzed genome-wide autosomal common variants from the Psychiatric Genomics Consortium and iPSYCH Project (n = 20,183 cases, n = 35,191 controls) and Swedish population register data (n = 77,905 cases, n = 1,874,637 population controls).

RESULTS: Genetic correlation analyses using two methods suggested near complete sharing of common variant effects across sexes, with r(g) estimates close to 1. Analyses of population data, however, indicated that female individuals with ADHD may be at especially high risk for certain comorbid developmental conditions (i.e., autism spectrum disorder and congenital malformations), potentially indicating some clinical and etiological heterogeneity. Polygenic risk score analysis did not support a higher burden of ADHD common risk variants in female cases (odds ratio [confidence interval] = 1.02 [0.98-1.06], p = .28). In contrast, epidemiological sibling analyses revealed that the siblings of female individuals with ADHD are at higher familial risk for ADHD than the siblings of affected male individuals (odds ratio [confidence interval] = 1.14 [1.11-1.18], p = 1.5E-15).

CONCLUSIONS: Overall, this study supports a greater familial burden of risk in female individuals with ADHD and some clinical and etiological heterogeneity, based on epidemiological analyses. However, molecular genetic analyses suggest that autosomal common variants largely do not explain the sex bias in ADHD prevalence.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 83, no 12, p. 1044-1053
Keywords [en]
ADHD, Epidemiology, GWAS, Neurodevelopmental disorders, Polygenic risk score analysis, Sex bias
National Category
Neurology Psychiatry
Identifiers
URN: urn:nbn:se:oru:diva-67268DOI: 10.1016/j.biopsych.2017.11.026ISI: 000433241800013PubMedID: 29325848Scopus ID: 2-s2.0-85040102598OAI: oai:DiVA.org:oru-67268DiVA, id: diva2:1219000
Note

Funding Agencies:

National Human Genome Research Institute of the National Institutes of Health (NIH)  R44HG006981 

Wellcome Trust  106047 

Australian National Health and Medical Research Council  1078901  1087889 

Stanley Medical Research Institute  

NIH  1R01MH094469  1R01MH107649-01 

Lundbeck Foundation  R102-A9118  R155-2014-1724 

European Research Council  294838 

European Community's Horizon 2020 Programme (H2020/2014-2020)  667302 

Novo Nordisk Foundation  

Aarhus university  

Copenhagen university  

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Shire  

Lundbeck  

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Ironshore  

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Genomind  

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Eli Lilly 

Available from: 2018-06-15 Created: 2018-06-15 Last updated: 2018-09-06Bibliographically approved

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