Skip to main content
Translational Psychiatry logoLink to Translational Psychiatry
. 2024 Jun 18;14:259. doi: 10.1038/s41398-024-02975-z

Irritability in young people with copy number variants associated with neurodevelopmental disorders (ND-CNVs)

Jessica H Hall 1, Samuel J R A Chawner 1; IMAGINE-ID consortium, Jeanne Wolstencroft 2, David Skuse 2, Jeremy Hall 1,3, Peter Holmans 1,3, Michael J Owen 1,3, Marianne B M van den Bree 1,3,
PMCID: PMC11189457  PMID: 38890284

Abstract

A range of rare mutations involving micro-deletion or -duplication of genetic material (copy number variants (CNVs)) have been associated with high neurodevelopmental and psychiatric risk (ND-CNVs). Irritability is frequently observed in childhood neurodevelopmental conditions, yet its aetiology is largely unknown. Genetic variation may play a role, but there is a sparsity of studies investigating the presentation of irritability in young people with ND-CNVs. This study aimed to investigate whether there is a difference in irritability in young people with rare ND-CNVs compared to those without ND-CNVs, and to what extent irritability is associated with psychiatric diagnoses and cognitive ability (IQ). Irritability and broader psychopathology were assessed in 485 young people with ND-CNVs and 164 sibling controls, using the child and adolescent psychiatric assessment. Autism was assessed using the social communication questionnaire, and intelligence quotient (IQ) by the Wechsler abbreviated scale of intelligence. Fifty four percent of young people with ND-CNVs met the threshold for irritability; significantly more than controls (OR = 3.77, CI = 3.07–7.90, p = 5.31 × 10−11). When controlling for the presence of other psychiatric comorbidities, ND-CNV status was still associated with irritability. There was no evidence for a relationship between irritability and IQ. Irritability is an important aspect of the clinical picture in young people with ND-CNVs. This work shows that genetic variation is associated with irritability in young people with ND-CNVs, independent of psychiatric comorbidities or IQ impairment. Clinicians should be aware of this increased risk to inform management and interventions.

Subject terms: Clinical genetics, Human behaviour

Introduction

Neurodevelopmental risk copy number variants (ND-CNVs)

Copy number variation (CNV) refers to variation in the genome, in which an individual’s number of copies of a specific segment of DNA is altered [1]. Commonly, these structural differences come about through the duplication or deletion of genetic material1. A number of CNVs show associations with an increased risk of neurodevelopmental disorders (ND-CNVs) [2], including attention deficit hyperactivity disorder (ADHD) [3], autism and intellectual disability [47], as well as other mental health conditions such as schizophrenia, and mood and anxiety disorder [8]. Whilst ND-CNVs are individually rare, they are collectively more common, with population-based studies estimating that ~1 in 200 newborns has either a deletion or duplication in neurodevelopmentally associated regions [9]. With the improvement of genomic technology, ND-CNVs are being increasingly recognised, and rates of diagnosis can be expected to continue to rise; they are thus of increasing relevance to clinical practice.

Chronic irritability

Severe irritability is a common presentation in those referred to mental health services as children and adolescents [10]. Irritability can be clinically defined as an increased proneness to anger relative to peers at the same developmental level [10]. In clinical literature the terms anger, rage and frustration tend to be used interchangeably with “irritability”, but all refer to developmentally inappropriate expressions of the emotion of irritability, or dysregulation [11]. Currently, irritability is often conceptualised as a distinct homogenous construct within psychiatric phenomenology, but it is also recognised as a core or accompanying feature of several psychiatric disorders [10, 11]. Chronic irritability is described in the literature as being present if a child is prone to feelings of anger, bad temper, or resentment at least 45 times in the past 3 months (i.e. approximately 3–4 times/week) [12]. The impact of chronic irritability on the individual and their family members makes it an important symptom to address clinically.

Irritability, psychopathology and cognition

Often defined as a mood, irritability is present in the DSM-V and ICD-10 criteria of bipolar disorder and depression, and is often observed in children with oppositional defiant disorder (ODD) and conduct disorder [13]. Whilst not a defining diagnostic criterion, irritability is also an especially common feature of ADHD; with an estimated prevalence of 91%, and there is evidence of clinical and genetic overlap between irritability and ADHD [14, 15]. This has led to the suggestion that irritability should perhaps be conceptualised as a neurodevelopmental problem, rather than a mood problem in children [15]. Children with irritability are also more likely to experience comorbid anxiety [16], and longitudinal studies have demonstrated associations between early irritability and later depression and anxiety [1618]. Irritability is also recognised as a prevalent and impairing problem in children with autistic spectrum disorders [10, 11, 19]. Furthermore, irritability has also been associated with impaired cognitive functioning [20].

Irritability in ND-CNVs

Despite irritability being a prominent feature of many of the psychiatric and neurodevelopmental diagnoses seen in young people with ND-CNVs, few studies have investigated the presentation of irritability in this high-risk population subgroup. Research designs using a genotype-first approach whereby young people with ND-CNVs are identified to take part in deep-phenotyping assessments, provide an opportunity to investigate irritability in a population of individuals with a known genetic aetiology, and can contribute novel insights into the links between irritability and mental health conditions. Given that youth with severe irritability display impaired cognitive flexibility compared to youth without irritability and that the presence of ND-CNVs is associated with cognitive deficits [6, 8, 21] it could be hypothesised that reduced cognitive ability may contribute to irritability in young people with ND-CNVs.

Better understanding the phenotype of this group of vulnerable young people will help with the development of tailored interventions. This work, therefore, aims to reduce some of the gaps in the literature by: (1) investigating whether young people with ND-CNVs are more irritable compared to siblings without known rare variants (controls); (2) ascertaining whether shared genetic and environmental factors have an effect on the irritability outcome in young people; (3) exploring to what extent ND-CNV status is associated with irritability when controlling for psychiatric diagnoses; (4) studying to what extent ND-CNV status is associated with irritability when controlling for cognitive ability.

Methodology

Sample

Families of young people with ND-CNVs were recruited by the Cardiff rarE genetiC variant researcH prOgramme (ECHO). (https://www.cardiff.ac.uk/centre-neuropsychiatric-genetics-genomics/research/themes/developmental-psychiatry/copy-number-variant-research-group) and IMAGINE-ID (https://imagine-id.org/) studies through Medical Genetics clinics across the UK, charities for chromosomal conditions (Unique, MaxAppeal, 22Crew) and word of mouth.

Participants were recruited on the basis of having a ND-CNV of interest (genotype-first approach) (n = 485), and not on the presence of a psychiatric phenotype (phenotype-first approach). Supplementary Table 1 illustrates sample sizes for each ND-CNV. ND-CNV was defined as genetic variants that were (a) recurrent (i.e. the same mutation occurring at the same location of the genome, in multiple people in a population), and pathogenic or likely pathogenic variants, according to the American College of Medical Genetics and Genomics guidelines [22] (b) associated with neurodevelopmental outcomes [5]. A sibling with no ND-CNV (control) and closest in age to the index child (proband) was invited to take part (n = 164). Sample demographic information is presented in Table 2. Written consent was given by the primary caregiver and consent or assent by the young people as applicable. All procedures involving human subjects/patients were approved by the appropriate university and National Health Service (NHS) ethics and research and development committees; the NHS London Queen Square Research Ethics Committee (14/LO/1069) and South East Wales Research Ethics Committee (09/WSE04/22). The presence of ND-CNVs in the ND-CNV group, and the absence of the ND-CNV in the control group were confirmed by NHS Medical Genetics Laboratories records, and subsequently, the laboratory of the Cardiff University Division for Psychological Medicine and Clinical Neurosciences, using microarray techniques.

Table 2.

Descriptive and summary statistics for the sample of young people with neurodevelopmental copy number variants, and controls.

Family background n = 569
Maternal education
 Low (O-levels, GCSEs) 138 (24.3%)
 Middle (A-levels, highers, vocational training) 240 (42.2%)
 High (university/post-graduate degree) 142 (24.9%)
 No school leaving exams 49 (8.6%)
Approximate family income n = 520
 ≤£ 19 999 150 (28.8%)
 £ 20 000–£ 39 999 180 (34.6%)
 £ 40 000–£ 59 999 97 (18.7%)
 £ 60 000+ 93 (17.9%)
Mothers ethnicity n = 579
 European 536 (92.6%)
 Other 43 (7.4%)
Demographics of young people
ND-CNV Controls Statistics
n = 485 n = 164
Age (years)
 Mean (s.d) 9.8 (2.90) 10.8 (2.61) p<0.001
 Mean age difference between sibling pairs 3.04
Biological sex n = 485 n = 164
 Female 168 (34.6%) 77 (47.0%) p = 0.005
 Male 317 (65.4%) 87 (53.0%)
Psychiatric diagnoses
n = 485 n = 164
ADHD 225 (46.4%) 12 (7.3%) p < 0.001
Anxiety 163 (33.6%) 11 (6.7%) p < 0.001
Mood 12 (2.5%) 1 (0.6%) p = 0.141
Any psychiatric diagnosis 348 (71.8%) 24 (14.7%) p < 0.001
Autism
n = 409 n = 145
SCQ > 15 237 (57.9%) 8 (5.5%) p < 0.001
Cognition
n = 433 n = 159
Mean FSIQ (s.d.) 80.4 (14.03) 104.8 (15.24) p < 0.001
Mean PIQ (s.d.) 86.3 (14.42) 105.1 (15.84) p < 0.001
Mean VIQ (s.d.) 80.2 (14.74) 104.1 (15.01) p < 0.001
Irritability
n = 485 n = 164
% Irritable 54.2 20.2 p < 0.001

Measures

Assessment of irritability, neuropsychiatric and cognitive phenotypes

Assessments were carried out by experienced research psychologists. Participants were given the choice of clinic or in-home assessments, with a view to reducing bias or discrimination against those who may struggle to travel to a research facility; the majority opted for home visits. During assessments, detailed demographic information was collected, along with an in-depth evaluation of developmental, behavioural, cognitive and psychiatric features. Information about psychotropic medication use is listed in Supplementary Table 2.

Irritability and psychopathology

The child and adolescent psychiatric assessment (CAPA) is an in-depth, semi-structured psychiatric interview that allows for the establishment of DSM psychiatric diagnoses [23]. The CAPA was carried out by trained research psychologists with the primary caregiver. Interviews were audiotaped and a research diagnosis based on DSM-V was obtained through consensus meetings led by a child and adolescent psychiatrist. We used the CAPA to establish research diagnoses of ADHD, anxiety and mood disorder (depression, mania or hypomania). Anxiety included any diagnosis of generalised anxiety disorder, social phobia, specific phobia, separation anxiety, panic disorder with and without agoraphobia, and panic disorder. Autism symptomatology was measured by the Social Communication Questionnaire (SCQ) [24]. A cutoff of >15 was deemed to be indicative of autism, in order to derive a dichotomous indicative autism variable. We did not consider any diagnoses to be mutually exclusive.

The CAPA was also used to establish the presence or absence of chronic irritability. A dichotomous irritability construct was generated, derived from the irritable dimension of ODD; for this reason, we chose not to investigate the association between irritability and ODD, as the association would be likely to be inflated. The irritability items were selected on the basis of previous research, whereby the same items from the CAPA were used to derive an irritability construct [14, 18]. The individual CAPA irritability items were coded as absent (0) or present (1) and the items included were: 1. Temper tantrums. 2. Touchy or easily annoyed. 3. Angry and resentful. For this work, individuals were coded as irritable if the frequency of these irritable symptoms was chronic; i.e. where one or more of these symptoms was present, 3–4 times/week in the past three months, participants were categorised as being “irritable” (1). Individuals who were coded as having an absence of all three of these symptoms, or the presence of these symptoms at frequencies lower than stated, were categorised as not irritable (0). We will refer to this chronic irritability presentation as “irritability” throughout (see Table 1).

Table 1.

Capa items included in the irritability construct.

CAPA item CAPA item definition CAPA item frequency CAPA item variable name
Temper tantrums Discrete episodes of excessive temper, frustration or upset, manifested by shouting, crying or stamping, and involving violence or attempts at damage directed against people or property At least three times per week—considering settings of home, school and elsewhere Symptom presence: pge1i01 frequency:(pge1f01 + pge1f02 + pge1f03) ≥ 36
Touchy or easily annoyed The child is generally more prone to feelings of anger, bad temper, short temper, resentment, sulking or annoyance, under minor provocation than most children At least four times per week Symptom presence: pda6i01 frequency: pda6f01 ≥ 48
Angry and resentful The child is generally prone to manifestations of anger or resentment under minor provocation than most children At least four times per week Symptom presence: pda7i01 frequency: pda7f01 ≥ 48

Individuals were coded as irritable if they had one or more of the symptoms “temper tantrums”, “touchy or easily annoyed”, “angry and resentful”. One or more of these symptoms had to be present at a frequency of at least 3–4 times per week, over the last three months.

Cognition

The young person’s intelligence quotient (IQ) was assessed using the Wechsler Abbreviated Scale of Intelligence (WASI), from which full-scale IQ (FSIQ), verbal IQ (VIQ), and performance IQ (PIQ) composite scores are derived. The WASI includes four subtests; two performance subtests: non-verbal reasoning, and perceptual organisation; and two verbal subtests: verbal knowledge and verbal reasoning.

Analysis

The data were analysed using R version 4.0.1 [25]. Intraclass correlation (ICC) was carried out in IBM SPSS Statistics 27 [26]. Odds ratios (ORs) and 95% confidence intervals (CIs) were derived. We included sibship as a random effect in all mixed effects models, to take into account the shared family factors for sibling pairs.

Aim 1

The first aim was to investigate whether young people with ND-CNVs are more irritable compared to controls. The percentage of young people with ND-CNV and controls meeting criteria for irritability, and each of the irritability symptoms was calculated. We used a mixed-effects logistic regression model, to investigate if age, sex, and ND-CNV status were associated with irritability.

Aim 2

To ascertain whether belonging to the same family (shared genetic and environmental factors) had an effect on irritability, an ICC was carried out in the subgroup of 123 available sibling pairs with one child with an ND-CNV and one with no known ND-CNV. ICC estimates were calculated based on a single-rating, absolute agreement, two-way mixed effects model [27]. ICC values of less than 0.5 are indicative of poor correlation, values between 0.5 and 0.75 indicate moderate correlation, values between 0.75 and 0.9 indicate good correlation, and values greater than 0.9 indicate excellent correlation [27].

Aim 3

The next aim was to explore to what extent ND-CNV status is associated with irritability when controlling for other psychiatric diagnoses. We used mixed effects logistic regression to investigate if CNV-status was associated with irritability, controlling for age, sex and each of the following psychiatric diagnoses individually; ADHD, anxiety, indicative autism and mood disorder. Additionally, we used a mixed-effects logistic regression model to investigate whether CNV status was associated with irritability, when including a binary “any psychiatric diagnosis” variable, alongside age and sex, to account for the fact that individuals may have two or more comorbid psychiatric diagnoses.

Sensitivity analyses were conducted whereby mothers’ ethnicity, approximate family income and maternal education were included as covariates one by one alongside “any psychiatric diagnosis”, age and sex, for a subset of individuals where this information was available. Further sensitivity analyses were conducted, excluding those individuals who were taking psychiatric or epilepsy medication to establish if this would change the findings. Mixed effects binomial logistic regressions were also carried out with ADHD, anxiety, indicative autism, mood disorders and “any psychiatric diagnosis” as the outcome variables, with ND-CNV as the predictor variable, whilst controlling for irritability.

Aim 4

Finally, we aimed to study to what extent ND-CNV status is associated with irritability when controlling for cognitive ability in young people. A mixed effects logistic regression model, which included FSIQ, PIQ and VIQ one by one, alongside age and sex, was carried out. A separate logistic regression was carried out with the separate irritability items (temper tantrums, touchy or easily annoyed, angry and resentful) as the outcome variable, and FSIQ as the predictor, specifically in ND-CNV carriers to test for within-group differences.

Results

Increased prevalence of irritability in young people with ND-CNV’s compared with controls

The prevalence of irritability was significantly greater in young people with an ND-CNV (54%) than in controls (20%) (Table 2). Irritability symptoms were also significantly higher in ND-CNV carriers than controls (see Supplementary Table 3), and of the young people with ND-CNVs there were an additional 119 (24.5%) young people with at least one irritable symptom, but at subthreshold frequency, compared to with 30 (18.3%) controls. In line with previous research [6] more young people with ND-CNVs met diagnostic criteria for psychiatric diagnoses; ADHD, anxiety and indicative autism, but not mood disorder (see Table 2).

A mixed effects binomial logistic regression, showed that irritability was associated with ND-CNV-status (OR = 3.85, CI = 3.00–7.71, p = 1.02 × 10−10) with young people with ND-CNVs more likely to be irritable. Irritability was also associated with sex (OR = 1.48, CI = 1.05–2.15, p = 0.02), with males more likely to meet irritability criteria. There is also a significant interaction effect of ND-CNV*Sex (OR = 2.77, CI = 1.13–6.84, p = 0.03), thus males with an ND-CNV are more likely to be irritable than females with an ND-CNV. Age was not associated with the presence of irritability.

Shared genetic and environmental factors in families do not predict irritability

We compared the degree to which irritability in young people with an ND-CNV could be predicted by irritability in their siblings, to evaluate possible contributions of shared genetic and environmental factors. A low degree of correlation in irritability was found between young people with ND-CNVs and their siblings with no known ND-CNV. The single measure ICC was 0.066 (CI = −0.079–0.221, p = 0.183), suggesting that shared familial effects have little effect on the irritability outcome.

Association between ND-CNVs and irritability persists after controlling for other psychiatric conditions

A series of mixed effects binomial logistic regressions testing in turn ADHD, anxiety, indicative autism and mood disorder showed that irritability was associated with a diagnosis of ADHD (OR = 2.72, CI = 1.95–4.18, p = 7.67 × 10−8), anxiety (OR = 3.49, CI = 2.65–6.67, p = 1.35 × 10−9) and indicative autism (OR = 2.41, CI = 1.60–3.73, p = 3.53 × 10−5). Irritability showed borderline association with a diagnosis of mood disorder (OR = 1.45, CI = 1.03–18.57, p = 0.06). Age was not associated with the presence of irritability when controlling for psychiatric diagnoses. Sex was not associated with irritability when controlling for ADHD or indicative autism, however, sex was associated with irritability when controlling for anxiety (OR = 1.48, CI = 1.03–2.18, p = 0.03) and mood disorder (OR = 1.46, CI = 1.04–2.13, p = 0.03), with males more likely to be irritable.

CNV status was still associated with irritability, when controlling for ADHD (OR = 2.75, CI = 2.17–5.75, p = 1.47 × 10−6), anxiety (OR = 3.49, CI = 2.65–6.67, p = 5.22 × 10−7), indicative autism (OR = 2.55, CI = 1.71–5.08, p = 1.26 × 10−4) and mood disorder (OR = 3.78, CI = 1.03–7.56, p = 2.01×10−10). This remained the case after excluding individuals taking psychiatric or epilepsy medication.

To allow for the fact that individuals may have one or more comorbid psychiatric conditions, a dichotomous variable of “any psychiatric diagnosis”, was included in a mixed effects logistic regression alongside age and sex, with irritability as the dependent variable. “Any psychiatric diagnosis”, was also associated with irritability (OR = 3.20, CI = 2.17–4.50, p = 2.52 × 10−8). CNV status was still associated with irritability when controlling for “any psychiatric diagnosis” (OR = 2.22, CI = 1.54–4.21, p = 3.26 × 10−4). Age and sex were not associated with irritability when controlling for any psychiatric diagnosis. This remained the case after excluding individuals taking psychiatric or epilepsy medication.

Sensitivity analyses including maternal education, approximate family income, and mothers ethnicity as covariates, alongside “any psychiatric diagnosis”, age and sex, found that mothers’ education, mothers ethnicity, and approximate family income were not significantly associated with irritability. Including these variables as covariates in the analysis did not change the findings.

Mixed effects binomial logistic regressions were also carried out with ADHD, anxiety, indicative autism, mood disorders and “any psychiatric diagnosis” as the outcome variables, with ND-CNV as the predictor variable, whilst controlling for irritability. The associations between ND-CNVs and psychiatric diagnoses remained significant (see Supplementary Table 4).

Cognition is not associated with irritability

In line with previous research, young people with ND-CNVs in this study had significantly lower FSIQ, PIQ, and VIQ scores (Table 1), than controls. Young people with ND-CNVs had on average a 24.4 point lower FSIQ score, an 18.8 point lower PIQ score and a 24.8 point lower VIQ compared with controls. A mixed effects logistic regression testing in turn FSIQ, PIQ and VIQ whilst co-varying for age and sex found no association between irritability and FSIQ (OR = 1.02, CI = 0.99–1.03, p = 0.93), PIQ (OR = 0.98, CI = 0.80–1.01, p = 0.40) or VIQ (OR = 0.97, CI = 0.88–1.02, p = 0.89). ND-CNV status was still associated with irritability when controlling for FSIQ (OR = 4.08, CI = 2.91–7.72, p = 6.98 × 10−8), PIQ (OR = 3.86, CI = 2.90–7.98, p = 2.85 × 10−9) and VIQ (OR = 3.96, CI = 2.99–7.81, p = 6.33 × 10−8). This remained the case after excluding individuals taking psychiatric or epilepsy medication. No significant associations were found between FSIQ and the three irritability symptoms in those with ND-CNVs (Supplementary Table 5).

Discussion

This is the first, and largest study, as far as we are aware, that investigates irritability of a chronic nature in young people with a range of recurrent CNVs. CNVs are increasingly diagnosed by medical geneticists and are well documented to be associated with high risk of neurodevelopmental and psychiatric conditions (ND-CNVs) [6]. Irritability was established based on items from a semi-structured child and adolescent psychiatric interview (CAPA) [23] completed with the primary carer. This is an irritability construct which has been used previously in other work pertaining to irritability, and neurodevelopmental disorders [14, 15, 18]. Young people were considered irritable if they demonstrated temper tantrums, angry and resentful behaviour or were touchy or easily annoyed, 3–4 times per week in the last three months [12]. We demonstrate that young people with ND-CNVs are close to 4 times (OR = 3.85, CI = 3.00–7.71, p = 1.02 × 10−10) more likely to show irritability than controls. Irritability was present in 54% of young people with ND-CNVs compared with 20% of controls. Irritability was associated with sex and CNV status, with males and those with ND-CNVs more likely to meet the threshold for severe irritability. Our results did not indicate that mothers’ education, ethnicity, or approximate family income affected irritability. Irritability was not associated with cognition (FSIQ, PIQ or VIQ).

Our findings offer supporting evidence for previous studies which have described high rates of psychiatric and neurodevelopmental difficulties, and cognitive deficits in individuals with ND-CNVs [4, 6, 8]. We found no differences in mood disorders between young people with ND-CNVs and controls. The number of young people in the sample who met the criteria for mood disorders was low, and this is likely due to the age of the sample. We found that irritability in young people with ND-CNVs was associated with a diagnosis of ADHD, anxiety, and indicative autism. Our findings are also in line with research which suggests that irritability is a common feature of ADHD [14, 15], anxiety [16] and autism [10, 11, 19].

When controlling for psychiatric diagnoses, ND-CNV status remained a significant predictor of irritability. This demonstrates that whilst individuals with ND-CNVs are likely to have comorbid psychiatric diagnoses which are associated with increased irritability, the impact of the ND-CNV on irritability is at least partially independent of the association between ND-CNVs and psychiatric diagnoses of ADHD, anxiety, indicative autism and mood disorder. When controlling for irritability, the association between ND-CNVs and psychiatric disorders remains significant, suggesting that the association between ND-CNVs and psychiatric disorders are at least to some extent, independent of the association between ND-CNV and irritability. Given that individuals with ND-CNVs are at high risk for depression and schizophrenia [8], and irritability can be a feature of both diagnoses [11], the early presentation of irritability may be an important transdiagnostic phenotype in these individuals, and further work investigating longitudinal trajectories would be pertinent to potentially inform early intervention.

Additionally, whilst young people with ND-CNVs have significantly lower IQ scores, these were not associated with irritability. This is in line with studies in children with ADHD, which have found little evidence of links between irritability and cognitive functioning [28]. ND-CNV status was still associated with irritability when controlling for cognitive ability, thus, the association between ND-CNVs and irritability appears to be independent of the association between ND-CNVs and reduced cognitive ability.

We found that males in general were more likely to meet the criteria for irritability than females. Sex differences in irritability are seemingly complex, and previous findings suggest that male preponderance may be a feature of neurodevelopmental problems whereas female preponderance is a feature of mood and internalising problems [15, 29]. Longitudinal follow-up will help to ascertain if this association between sex and irritability is stable or dynamic in young people with ND-CNVs.

It should be acknowledged that whilst young people with ND-CNVs have higher rates of irritability than controls, 20% of the sibling control group met the criteria for irritability. Findings drawn from the great smoky mountains study suggest that severe mood dysregulation (in which chronic irritability is present) occurs in children and adolescents in approximately 3% of the general population, and that at any given point in childhood, 51.4% of children report phasic irritability [19]. Further investigation would be required to determine whether siblings of ND-CNV groups have significantly higher rates of chronic irritability than the general population, when controlling for age and sex. There was little correlation in irritability between the young people with ND-CNVs and their siblings; the siblings of young people with ND-CNVs with irritability do not have higher rates of irritability than the siblings of young people with ND-CNVs who are not irritable. In line with previous findings [30], this suggests that shared environmental and genetic factors have a relatively small effect on irritability.

With regard to treatment for irritability, research suggests that parent management training and cognitive behavioural therapy (CBT) are the most effective treatments [31]. However, given the comorbidity of irritability with other psychiatric conditions in young people with ND-CNVs, consideration should be given to the type of intervention which will be most effective. For instance, Stepping Stones Triple P has shown efficacy as a positive parenting intervention for parents of children with learning disabilities [32]. Additionally, although low IQ does not predict irritability in young people with ND-CNVs, young people with ND-CNVs who are irritable may well have low IQ, and adaptations to CBT should be considered in these instances [33].

Some caveats to this study should be noted. Firstly, ascertainment bias may affect our results, that is, our cohort of young people with ND-CNVs is likely to be more severely affected than young people with ND-CNVs recruited as part of a population-based cohort. This is because we recruited individuals with a known genetic diagnosis, where referral for genetic testing is often based on the presence of developmental delay. There is however increasing evidence that CNVs impact on functioning in the general population including in individuals without a genetic diagnosis [4]. Furthermore, it is important to understand irritability in those diagnosed with ND-CNV, as they constitute a substantial proportion of those engaging with health services and tend to need more support and care following their genetic diagnosis. Secondly, due to the level of comorbidity in the sample, irritability cannot be examined in the absence of comorbid psychiatric diagnoses; this is however, reflective of the reality outside of the exploration of young people with ND-CNVs, as irritability is such a common feature of so many psychiatric diagnoses. Whilst we have attempted to control for this comorbidity in the models, the interaction between different psychiatric conditions, their heterogeneity, and their individual symptom profiles, may not be fully captured. The study is also unable to take into account the timing and development of these conditions, a factor which may have different implications depending on whether irritability or other comorbid symptoms were first to emerge; in the future, the longitudinal analysis would help to elucidate some of these effects. Finally, this study does not capture all the environmental factors which may influence irritability in young people with ND-CNVs.

Our control sample comprised siblings without a known ND-CNV. While this approach offers the advantage of accounting for a range of genetic and environmental factors that are shared between siblings with and without an ND-CNV, it needs to be kept in mind that non-shared genetic and environmental influences will still contribute to variation in inclination to and resilience against irritability. It could be speculated that the environmental stressors which may come with living with a sibling with an ND-CNV, who has additional needs, are likely to impact parent-child interactions, and the family environment more widely, potentially confounding the association between ND-CNVs and irritability. Again, further research investigating the role of family environment and parent-child interactions, and their role in the irritability phenotype in young people with NC-CNVs would be an interesting future direction.

Irritability is an important aspect of the clinical picture in young people with recurrent ND-CNVs and cannot simply be attributed to IQ impairment, or the presence of other psychiatric diagnoses. Clinicians thus need to be aware of the high prevalence of irritability in this group of high-risk individuals. This finding also gives new insights into the genetic aetiology of irritability. The frequent co-occurrence of irritability with ADHD, anxiety and indicative autism suggests that clinicians working with young people with ND-CNVs should assess comorbid symptom profiles, in order to provide optimum care and the correct intervention. Future research should investigate irritability longitudinally, to ascertain whether it may be an early marker for later psychiatric problems such as mood disorders and psychosis. On the whole, irritability warrants attention as a feature in young people with ND-CNVs, in order to inform interventions for irritable behaviour and comorbid psychopathologies.

Supplementary information

SUPPLEMENTARY TABLE 1: (9.8KB, xlsx)
SUPPLEMENTARY TABLE 2: (9.3KB, xlsx)
SUPPLEMENTARY TABLE 3: (9.6KB, xlsx)
SUPPLEMENTARY TABLE 4: (9.8KB, xlsx)
SUPPLEMENTARY TABLE 5: (9.3KB, xlsx)

Acknowledgements

This work was supported by the MRC: MR/T033045/1 (DS, MBMvdB, MJO, PH and JH), MR/N022572/1 (DS, MBMvdB, MJO and JH), MR/L011166/1 (DS, MBMvdB, JH and MO); NIMH: U01MH119758 (MBMvdB, MJO and PH). We are extremely grateful to all the families that participated in this study, as well as, all the support we have had from NHS medical genetics clinics, and from charities; Max Appeal, Unique and the 22Crew. We thank all members of the IMAGINE-ID consortium for their contributions (see supplementary material for the full consortium member list). We thank the core laboratory team of the Division of Psychological Medicine and Clinical Neurosciences Laboratory for DNA sample management and genotyping. We would like to extend thanks to the CNV field team: Lauren Benger, Poppy Sloane, Dr. Hannah Tyson, Claudia Evison, Georgia Evans, Dr. Josh Hope-Bell, Ioana Filipas, Danielle LeRoux, Shreeya Sivakumar and Sally Morrin. We would also like to thank Dr. Janet Harwood for database support, and Rhiannon Spence for administrative support. For the purpose of open access, the author has applied a CC BY public copyright license to any author-accepted manuscript version arising from this submission.

Author contributions

JHH, MBMvdB, MJO and PH conceptualised the work. JHH and SJRAC prepared the data. JHH, SJRAC, MBMvdB, PH and MJO were involved in the analysis and interpretation of the data. JHH draughted the manuscript. JHH, SJRAC, MBMvdB, MJO, PH, JH, JW and DS substantively reviewed and revised the manuscript. The ECHO study was designed by MBMvdB and MJO. The IMAGINE-ID study was designed by MBMvdB, MJO, DS and JH.

Data availability

Data are held at Cardiff University. The data are available upon request. Please contact Prof. van den Bree (vandenbreemb@cardiff.ac.uk) for any data requests.

Ethics approval and consent to participate

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki declaration of 1975, as revised in 2008. Written consent was given by the primary caregiver and consent or assent by the young people as applicable. All procedures involving human subjects/patients were approved by the appropriate university and NHS ethics and research and development committees; the NHS London Queen Square Research Ethics Committee (14/LO/1069) and the South East Wales Research Ethics Committee (09/WSE04/22).

Competing interests

JHH, SJRAC, JW, PH and JH declaration of interest: none. DS reports a grant from Sarepta Therapeutics outside the scope of this work. MJO reports grants from Akrivia Health and Takeda Pharmaceuticals outside the scope of the present work. MBMvdB reports a grant from Takeda Pharmaceuticals outside the scope of the present work.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

A list of authors and their affiliations appears at the end of the paper.

Contributor Information

Marianne B. M. van den Bree, Email: vandenbreemb@cardiff.ac.uk

IMAGINE-ID consortium:

Harriet Housby, Irene Lee, David Skuse, Jeanne Wolstencroft, William Mandy, Spiros Dexanas, Kate Baker, Lucy Raymond, Marianne van den Bree, Samuel Chawner, Jeremy Hall, Peter Holmans, Josh Hope-Bell, Danielle Le Roux, Sally Morrin, Michael Owen, and Shreeya Sivakumar

Supplementary information

The online version contains supplementary material available at 10.1038/s41398-024-02975-z.

References

  • 1.Conrad DF, Pinto D, Redon R, Feuk L, Gokcumen O, Zhang Y, et al. Origins and functional impact of copy number variation in the human genome. Nature. 2010;464:704–12. doi: 10.1038/nature08516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Coe BP, Witherspoon K, Rosenfeld JA, van Bon BW, Vulto-van Silfhout AT, Bosco P, et al. Refining analyses of copy number variation identifies specific genes associated with developmental delay. Nat Genet. 2014;46:1063–71. doi: 10.1038/ng.3092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Niarchou M, Martin J, Thapar A, Owen MJ, van den Bree MB. The clinical presentation of attention deficit-hyperactivity disorder (ADHD) in children with 22q11.2 deletion syndrome. Am J Med Genet B Neuropsychiatr Genet. 2015;168:730–8. doi: 10.1002/ajmg.b.32378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kendall KM, Bracher-Smith M, Fitzpatrick H, Lynham A, Rees E, Escott-Price V, et al. Cognitive performance and functional outcomes of carriers of pathogenic copy number variants: analysis of the UK biobank. Br J Psychiatry. 2019;214:297–304. doi: 10.1192/bjp.2018.301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wolstencroft J, Wicks F, Srinivasan R, Wynn S, Ford T, Baker K, et al. Neuropsychiatric risk in children with intellectual disability of genetic origin: IMAGINE, a UK national cohort study. Lancet Psychiatry. 2022;9:715–24. doi: 10.1016/S2215-0366(22)00207-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Chawner S, Owen MJ, Holmans P, Raymond FL, Skuse D, Hall J, et al. Genotype–phenotype associations in children with copy number variants associated with high neuropsychiatric risk in the UK (IMAGINE-ID): a case-control cohort study. Lancet Psychiatry. 2019;6:493–505. doi: 10.1016/S2215-0366(19)30123-3. [DOI] [PubMed] [Google Scholar]
  • 7.Chawner S, Doherty JL, Anney RJL, Antshel KM, Bearden CE, Bernier R, et al. A genetics-first approach to dissecting the heterogeneity of autism: phenotypic comparison of autism risk copy number variants. Am J Psychiatry. 2021;178:77–86. doi: 10.1176/appi.ajp.2020.20010015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Niarchou M, Zammit S, van Goozen SH, Thapar A, Tierling HM, Owen MJ, et al. Psychopathology and cognition in children with 22q11.2 deletion syndrome. Br J Psychiatry. 2014;204:46–54. doi: 10.1192/bjp.bp.113.132324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Smajlagić D, Lavrichenko K, Berland S, Helgeland Ø, Knudsen GP, Vaudel M, et al. Population prevalence and inheritance pattern of recurrent CNVs associated with neurodevelopmental disorders in 12,252 newborns and their parents. Eur J Hum Genet. 2021;29:205–15. doi: 10.1038/s41431-020-00707-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Brotman MA, Kircanski K, Leibenluft E. Irritability in children and adolescents. Annu Rev Clin Psychol. 2017;13:317–41. doi: 10.1146/annurev-clinpsy-032816-044941. [DOI] [PubMed] [Google Scholar]
  • 11.Vidal-Ribas P, Brotman MA, Valdivieso I, Leibenluft E, Stringaris A. The status of irritability in psychiatry: a conceptual and quantitative review. J Am Acad Child Adolesc Psychiatry. 2016;55:556–70. doi: 10.1016/j.jaac.2016.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Brotman MA, Schmajuk M, Rich BA, Dickstein DP, Guyer AE, Costello EJ, et al. Prevalence, clinical correlates, and longitudinal course of severe mood dysregulation in children. Biol Psychiatry. 2006;60:991–7. doi: 10.1016/j.biopsych.2006.08.042. [DOI] [PubMed] [Google Scholar]
  • 13.Chase D, Harvey PD, Pogge DL. Disruptive mood dysregulation disorder (DMDD) in psychiatric inpatient child admissions: prevalence among consecutive admissions and in children receiving NOS diagnoses. Neurol Psychiatry Brain Res. 2020;38:102–6. doi: 10.1016/j.npbr.2020.11.001. [DOI] [Google Scholar]
  • 14.Riglin L, Eyre O, Cooper M, Collishaw S, Martin J, Langley K, et al. Investigating the genetic underpinnings of early-life irritability. Transl Psychiatry. 2017;7:e1241. doi: 10.1038/tp.2017.212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Riglin L, Eyre O, Thapar AK, Stringaris A, Leibenluft E, Pine DS, et al. Identifying novel types of irritability using a developmental genetic approach. Am J Psychiatry. 2019;176:635–42. doi: 10.1176/appi.ajp.2019.18101134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Stoddard J, Stringaris A, Brotman MA, Montville D, Pine DS, Leibenluft E. Irritability in child and adolescent anxiety disorders. Depress Anxiety. 2014;31:566–73. doi: 10.1002/da.22151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Eyre O, Hughes RA, Thapar AK, Leibenluft E, Stringaris A, Davey Smith G, et al. Childhood neurodevelopmental difficulties and risk of adolescent depression: the role of irritability. J Child Psychol Psychiatry. 2019;60:866–74. doi: 10.1111/jcpp.13053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Eyre O, Riglin L, Leibenluft E, Stringaris A, Collishaw S, Thapar A. Irritability in ADHD: association with later depression symptoms. Eur Child Adolesc Psychiatry. 2019;28:1375–84. doi: 10.1007/s00787-019-01303-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Leibenluft E, Stoddard J. The developmental psychopathology of irritability. Dev Psychopathol. 2013;25:1473–87. doi: 10.1017/S0954579413000722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Dickstein DP, Nelson EE, Mc CE, Grimley ME, Knopf L, Brotman MA, et al. Cognitive flexibility in phenotypes of pediatric bipolar disorder. J Am Acad Child Adolesc Psychiatry. 2007;46:341–55. doi: 10.1097/chi.0b013e31802d0b3d. [DOI] [PubMed] [Google Scholar]
  • 21.Huguet G, Schramm C, Douard E, Tamer P, Main A, Monin P, et al. Genome-wide analysis of gene dosage in 24,092 individuals estimates that 10,000 genes modulate cognitive ability. Mol Psychiatry. 2021;26:2663–76. doi: 10.1038/s41380-020-00985-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–23. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Angold A, Costello EJ. The child and adolescent psychiatric assessment (CAPA) J Am Acad Child Adolesc Psychiatry. 2000;39:39–48. doi: 10.1097/00004583-200001000-00015. [DOI] [PubMed] [Google Scholar]
  • 24.Berument SK, Rutter M, Lord C, Pickles A, Bailey A. Autism screening questionnaire: diagnostic validity. Br J Psychiatry. 1999;175:444–51. doi: 10.1192/bjp.175.5.444. [DOI] [PubMed] [Google Scholar]
  • 25.Development Core Team RR: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2011.
  • 26.Corp. I. IBM SPSS statistics for windows, version 27.0. In: Corp I, editor. New York: Armonk; 2020.
  • 27.Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155–63. doi: 10.1016/j.jcm.2016.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Read N, Mulraney M, McGillivray J, Sciberras E. Comorbid anxiety and irritability symptoms and their association with cognitive functioning in children with ADHD. J Abnorm Child Psychol. 2020;48:1035–46. doi: 10.1007/s10802-020-00658-z. [DOI] [PubMed] [Google Scholar]
  • 29.Humphreys KL, Schouboe SNF, Kircanski K, Leibenluft E, Stringaris A, Gotlib IH. Irritability, externalizing, and internalizing psychopathology in adolescence: cross-sectional and longitudinal associations and moderation by sex. J Clin Child Adolesc Psychol. 2019;48:781–9. doi: 10.1080/15374416.2018.1460847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Roberson-Nay R, Leibenluft E, Brotman MA, Myers J, Larsson H, Lichtenstein P, et al. Longitudinal stability of genetic and environmental influences on irritability: from childhood to young adulthood. Am J Psychiatry. 2015;172:657–64. doi: 10.1176/appi.ajp.2015.14040509. [DOI] [PubMed] [Google Scholar]
  • 31.Stringaris A, Vidal-Ribas P, Brotman MA, Leibenluft E. Practitioner review: definition, recognition, and treatment challenges of irritability in young people. J Child Psychol Psychiatry. 2018;59:721–39. doi: 10.1111/jcpp.12823. [DOI] [PubMed] [Google Scholar]
  • 32.Sanders MR. The triple P system of evidence-based parenting support: past, present, and future directions. Clin Child Fam Psychol Rev. 2023;26:880–903. doi: 10.1007/s10567-023-00441-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Dagnan D, Taylor L, Burke C-K. Adapting cognitive behaviour therapy for people with intellectual disabilities: an overview for therapist working in mainstream or specialist services. Cognit Behav Ther. 2023;16:e3. doi: 10.1017/S1754470X22000587. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SUPPLEMENTARY TABLE 1: (9.8KB, xlsx)
SUPPLEMENTARY TABLE 2: (9.3KB, xlsx)
SUPPLEMENTARY TABLE 3: (9.6KB, xlsx)
SUPPLEMENTARY TABLE 4: (9.8KB, xlsx)
SUPPLEMENTARY TABLE 5: (9.3KB, xlsx)

Data Availability Statement

Data are held at Cardiff University. The data are available upon request. Please contact Prof. van den Bree (vandenbreemb@cardiff.ac.uk) for any data requests.


Articles from Translational Psychiatry are provided here courtesy of Nature Publishing Group

RESOURCES