Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Oct 15;86(8):587-598.
doi: 10.1016/j.biopsych.2019.04.021. Epub 2019 Apr 28.

Patterns of Psychiatric Comorbidity and Genetic Correlations Provide New Insights Into Differences Between Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

Affiliations

Patterns of Psychiatric Comorbidity and Genetic Correlations Provide New Insights Into Differences Between Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

Berit S Solberg et al. Biol Psychiatry. .

Erratum in

  • Erratum.
    Solberg BS, Zayats T, Posserud MB, Halmøy A, Engeland A, Haavik J, Klungsøyr K. Solberg BS, et al. Biol Psychiatry. 2019 Oct 15;86(8):647. doi: 10.1016/j.biopsych.2019.07.025. Biol Psychiatry. 2019. PMID: 31558221 Free PMC article. No abstract available.

Abstract

Background: Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) share common genetic factors but seem to have specific patterns of psychiatric comorbidities. There are few systematic studies on adults; therefore, we compared psychiatric comorbidities in adults with these two neurodevelopmental disorders using population-based data and analyzed their genetic correlations to evaluate underlying factors.

Methods: Using data from Norwegian registries, we assessed patterns of psychiatric disorders in adults with ADHD (n = 38,636; 2.3%), ASD (n = 7528; 0.4%), and both diagnoses (n = 1467; 0.1%) compared with the remaining adult population (n = 1,653,575). We calculated their prevalence ratios (PRs) and differences using Poisson regression, also examining sex-specific relations. Genetic correlations (rg) among ADHD, ASD, and the examined psychiatric disorders were calculated by linkage disequilibrium score regression, exploiting summary statistics from relevant genome-wide association studies.

Results: For all psychiatric comorbidities, PRs differed between ADHD and ASD. Associations were strongest in individuals with ADHD and ADHD+ASD for most comorbidities, in both men and women. The relative prevalence increase of substance use disorder was three times larger in ADHD than in ASD (PRADHD, 6.2; 95% confidence interval [CI], 6.1-6.4; PRASD, 1.9; 95% CI, 1.7-2.2; p < .001); however, the opposite was true for schizophrenia (PRASD, 13.9; 95% CI, 12.7-15.2; PRADHD, 4.4; 95% CI, 4.1-4.7; p < .001). Genetic correlations supported these patterns but were significantly different between ADHD and ASD only for the substance use disorder proxies and personality traits (p < .006 for all).

Conclusions: Adults with ADHD, ASD, or both ADHD and ASD have specific patterns of psychiatric comorbidities. This may partly be explained by differences in underlying genetic factors.

Keywords: ADHD; ASD; Genetics; Psychiatric comorbidity; SUD; Schizophrenia.

PubMed Disclaimer

Conflict of interest statement

JH has served as a speaker for Eli Lilly, HB Pharma, and Shire. The other authors report no biomedical financial interests or potential conflicts of interest.

Figures

Figure 1.
Figure 1.
Prevalence ratios of psychiatric disorders in adults with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), or ADHD+ASD relative to the remaining population, by sex. Log scale, 95% confidence interval, error bars. Adjusted for birth year (5-year groups, from 1967 to 1997, with 1967–1973 as the reference), maternal marital status (single, married/cohabiting [reference], other), maternal and paternal education (low [,10 years], middle [10–12 years] and high [.12 years] [reference]), maternal age (<20, 20–24, 25–29 [reference], 30–34, 35–39, 40+ years of age) and paternal age (<20, 20–24, 25–29, 30–34 [reference], 35–39, 40–44, 45–49, 50+ years of age) at delivery, gestational age (<28, 28–31, 32–34, 35–36, 37–41 [reference], 42+ weeks of age), gestational age- and sex-specific birth weight Z scores (< ‒2.0;‒2.0 to ‒0.51; ‒0.5 to 0.5 [reference]; 0.51 to 2.0; 2.01+), and maternal and paternal psychiatric disorders (yes/no). BD, bipolar disorder; MDD, major depressive disorder; PD, personality disorders; schizophrenia, schizophrenia spectrum disorder; SUD, substance use disorder.
Figure 2.
Figure 2.
Prevalence difference of psychiatric disorders in adults with attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), ADHD+ASD relative to the remaining population, by sex. Prevalence difference, 95% confidence interval, error bars, analog scale. Adjusted for birth year (5-year groups, from 1967 to 1997). BD, bipolar disorder; MDD, major depressive disorder; PD, personality disorders; schizophrenia, schizophrenia spectrum disorder; SUD, substance use disorder.
Figure 3.
Figure 3.
(Left panel) The pattern of prevalence ratios of psychiatric comorbidity in adults with attention-deficit/hyperactivity disorder (ADHD) (n = 38,636) or autism spectrum disorder (ASD) (n = 7528) observed in this study and (right panel) genetic correlations (rg) calculated from genome-wide association studies.(Left panel) Prevalence ratio, model II, log-scale, 95% confidence interval, error bars. Adjusted for birth year (5-year groups, from 1967 to 1997, with 1967–1973 as the reference), maternal marital status (single, married/cohabiting [reference], other), maternal and paternal education (low [< 10 years], middle [10–12 years] and high [> 12 years] [reference]), maternal age (,20, 20–24, 25–29 [reference], 30–34, 35–39, 401 years of age) and paternal age (< 20, 20–24, 25–29, 30–34 [reference], 35–39, 40–44, 45–49, 50+ years of age) at delivery, gestational age (< 28, 28–31, 32–34, 35–36, 37–41 [reference], 42+ weeks of age), gestational age- and sex-specific birth weight Z scores (<‒2.0; ‒2.0 to ‒0.51; ‒0.5 to 0.5 [reference]; 0.51 to 2.0; 2.01+), and maternal and paternal psychiatric disorders (yes/no). (Right panel) Genetic correlations, rg, linear scale, SE bars, with “Ever vs Never Smoked” and “Alcohol Dependence” as proxies for substance use disorder, and “NEO–5–Personality Traits” as proxy for personality disorder.

Comment in

Similar articles

Cited by

References

    1. Baxter AJ, Brugha TS, Erskine HE, Scheurer RW, Vos T, Scott JG (2015): The epidemiology and global burden of autism spectrum disorders. Psychol Med 45:601–613. - PubMed
    1. Franke B, Michelini G, Asherson P, Banaschewski T, Bilbow A, Buitelaar JK, et al. (2018): Live fast, die young? A review on the developmental trajectories of ADHD across the lifespan. Eur Neuropsychopharmacol 28:1059–1088. - PMC - PubMed
    1. Tick B, Colvert E, McEwen F, Stewart C, Woodhouse E, Gillan N, et al. (2016): Autism spectrum disorders and other mental health problems: Exploring etiological overlaps and phenotypic causal associations. J Am Acad Child Adolesc Psychiatry 55:106–113 e104. - PubMed
    1. Faraone SV, Larsson H (2018): Genetics of attention deficit hyperactivity disorder. Mol Psychiatry 24:562–575. - PMC - PubMed
    1. Stergiakouli E, Davey Smith G, Martin J, Skuse DH, Viechtbauer W, Ring SM, et al. (2017): Shared genetic influences between dimensional ASD and ADHD symptoms during child and adolescent development. Mol Autism 8:18. - PMC - PubMed

Publication types