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Behavioural and psychological characteristics in Pitt-Hopkins syndrome: a comparison with Angelman and Cornelia de Lange syndromes
Journal of Neurodevelopmental Disorders volume 11, Article number: 24 (2019)
Pitt-Hopkins syndrome (PTHS) is a genetic neurodevelopmental disorder associated with intellectual disability. Although the genetic mechanisms underlying the disorder have been identified, description of its behavioural phenotype is in its infancy. In this study, reported behavioural and psychological characteristics of individuals with PTHS were investigated in comparison with the reported behaviour of age-matched individuals with Angelman syndrome (AS) and Cornelia de Lange syndrome (CdLS).
Questionnaire data were collected from parents/caregivers of individuals with PTHS (n = 24), assessing behaviours associated with autism spectrum disorder (ASD), sociability, mood, repetitive behaviour, sensory processing, challenging behaviours and overactivity and impulsivity. For most measures, data were compared to data for people with AS (n = 24) and CdLS (n = 24) individually matched by adaptive ability, age and sex.
Individuals with PTHS evidenced significantly higher levels of difficulties with social communication and reciprocal social interaction than individuals with AS, with 21 of 22 participants with PTHS meeting criteria indicative of ASD on a screening instrument. Individuals with PTHS were reported to be less sociable with familiar and unfamiliar people than individuals with AS, but more sociable with unfamiliar people than individuals with CdLS. Data also suggested areas of atypicality in sensory experiences. Challenging behaviours were reported frequently in PTHS, with self-injury (70.8%) occurring at significantly higher rates than in AS (41.7%) and aggression (54.2%) occurring at significantly higher rates than in CdLS (25%). Individuals with PTHS also evidenced lower reported mood than individuals with AS.
Behaviours which may be characteristic of PTHS include those associated with ASD, including deficits in social communication and reciprocal social interaction. High rates of aggression and self-injurious behaviour compared to other genetic syndrome groups are of potential clinical significance and warrant further investigation. An atypical sensory profile may also be evident in PTHS. The specific aetiology of and relationships between different behavioural and psychological atypicalities in PTHS, and effective clinical management of these, present potential topics for future research.
Pitt-Hopkins syndrome (PTHS, OMIM #610954) is a genetic neurodevelopmental disorder associated with an abnormal expression of the basic helix-loop-helix transcription factor 4 gene (TCF4) located on chromosome 18q21 (OMIM #602272). PTHS was first identified in 1978 by Pitt and Hopkins , who described the syndrome in two unrelated patients presenting with a characteristic facial gestalt (comprising a squared forehead, deep-set eyes, a wide mouth, tented upper lip, full lower lip and a broad and/or beaked nasal bridge), developmental delay and abnormal breathing patterns [2,3,4]. Although the definitive prevalence of PTHS is unknown, prevalence estimates lie between 1 in 225,000 and 1 in 300,000 based on the known number of affected individuals .
PTHS is commonly associated with intellectual disability (ID), with severe ID identified in 100% of a cohort of 101 patients with PTHS . Impaired language development is also reported frequently, with many individuals presenting with absent language or speech limited to a few words [4, 7]. Hypotonia and delays in motor development are also prevalent, most notably delayed or absent walking, impaired motor coordination and ataxia [6, 8].
Recent years have seen progress towards characterising the specific behavioural characteristics associated with PTHS, based on a number of case and cohort studies (e.g. [4, 6, 9, 10], see  for a review). The first international consensus statement about PTHS  draws together current understanding of these with directions for the diagnosis and management of PTHS. The temperament of individuals with PTHS is often described as amiable and happy, characterised by an “easy-going” demeanour (87%) [5, 7] and smiling appearance (89%) [4, 6]. Indeed, it has been noted that there are similarities with Angelman syndrome (AS) [4, 5], a genetic condition in which “excessive” smiling has been established as a phenotypic behavioural feature [7, 11, 12]. Furthermore, pathogenic variants of the TCF4 gene have previously been identified in cases of diagnosed AS (2%) , sometimes leading to delays in diagnosis . However, systematic study of social characteristics using established measures with known psychometric properties have been rare (although see [6, 14]), and formal comparisons with AS are yet to be drawn. Alongside reports of specific social characteristics, a number of behavioural traits associated with autism spectrum disorder (ASD) are reportedly associated with PTHS. ASD is a complex diagnostic category, defined by repetitive behaviours/restricted interests and impairments in social affect, which itself is defined as difficulties with communication (verbal and non-verbal) and social interaction (e.g. [15, 16]). Consistent with possible ASD-related symptomatology, individuals with PTHS are reported to show impaired social interaction and communication, stereotyped movements, repetitive behaviours and difficulty with changes to daily routine [2, 5, 8, 14]. Whalen et al.  reported an overall repetitive behaviour prevalence of 94%. Reported stereotypies include: repetitive hand and finger movements (48% , 86% ), arm flapping (80%) , hand washing (45%)  and body rocking . ASD occurs with elevated frequency in a number of genetic syndrome groups, including AS (34% ) and Cornelia de Lange syndrome (CdLS, 43% ), and it has been noted that having a genetic syndrome itself increases the probability with which a person will meet diagnostic criteria for ASD . In addition, the qualitative nature of ASD presentation may vary between genetic syndrome groups (e.g. [18, 19]). The degree to which ASD-related behaviours present in excess of what may be expected for developmental level has been debated for a number of syndrome groups (see ). In the case of PTHS, comparison with matched-ability groups with other genetic syndromes may help elucidate the possible presence and nature of ASD-related behaviours.
In addition to the social and repetitive elements of ASD, sensory processing differences have been increasingly foregrounded in ASD research (e.g. [21,22,23]), with the DSM 5 including sensory processing factors in the diagnostic criteria for ASD . To date, the sensory processing profile of PTHS is yet to be explicitly researched in individuals with PTHS, and the need for further study of this topic has been highlighted within the international consensus statement .
Further areas of potential behavioural atypicality and difficulty for people with PTHS include high rates of anxiety (81%) , aggression (40–50%) [2, 7, 14] and self-injurious behaviours (e.g. pinching, hand biting, hitting oneself) [2, 6] and some reports of attention deficit hyperactivity disorder (ADHD) . Each of these behaviours has also been associated to varying degrees with other genetic neurodevelopmental syndromes. For example, over 70% of people with CdLS are reported to display self-injury , and a number of studies have also found high levels of overactivity in this syndrome group (e.g. [25,26,27]).
The set of behaviours associated with a specific genetic syndrome has often been referred to as a “behavioural phenotype” [28, 29], defined as the behaviours which occur more often in individuals with a specific syndrome than in people without this syndrome [29, 30]. Characterisation of behavioural phenotypes is aided by the use of standardised measures suitable for people with ID (e.g. [31,32,33]). In addition, comparisons with suitable groups, including those with other genetic syndromes also associated with ID, has been foregrounded as crucial in the study of behavioural phenotypes . To date, much of the PTHS behavioural research is in the form of case study or case series methodology (e.g. , see  for a review). Where larger cohort studies have been conducted (e.g. [4, 6, 9], see  for a review), a lack of cross-syndrome comparisons with other genetic syndrome groups limits interpretation.
The current study assessed reported behavioural characteristics in a cohort of people diagnosed with PTHS, using measures with established psychometric properties and history of utility for investigation of behavioural phenotypes of genetic neurodevelopmental syndromes associated with ID (e.g. [18, 19, 24, 31, 35]). Measures were included of ASD-related characteristics, sociability, mood, repetitive behaviours, sensory processing, challenging behaviours, overactivity and impulsivity.
Comparisons were made with age- and ability-matched participants from two other genetic syndrome groups: AS and CdLS. Selection of these two groups for comparison was based on a number of factors. First, both AS and CdLS are associated with ID which may be profound [12, 25], potentially increasing the likelihood of highlighting behavioural features of PTHS which are not solely related to ID or to having a genetic syndrome per se. In addition, the behavioural phenotypes of AS and CdLS are both relatively well established (e.g. [12, 25, 36,37,38,39,40,41]), allowing appropriate contextualisation of data for PTHS. These phenotypes are summarised, alongside genetic information and information about physical characteristics, in Table 1. AS and CdLS are also divergent on some behavioural aspects, thus providing significant points of contrast. For example, both CdLS and AS are frequently associated with ASD characteristics , but the specific profiles of ASD-related behaviours differ. For instance, in relation to behaviour in social contexts, positive affect during social interactions is often reported in AS alongside impairments in social affect contributing to meeting diagnostic criteria for ASD . In CdLS, impaired communication and social interaction skills are prominent , with difficulties putatively related at least in part to high levels of social anxiety . As in CdLS, individuals with PTHS are reported to show impaired social interaction [5, 6, 14], although systematic study of this is lacking. However, the “happy and amiable” demeanour frequently reported in PTHS appears to overlap with the phenotypic smiling and laughter reported of AS [7, 11, 12]. CdLS and AS also differ notably in associated mood, poor mood and high anxiety [25, 49] (social anxiety in particular) [50, 51] associated with CdLS and elevated mood associated with AS . Both AS and CdLS are associated with challenging behaviour, but AS is associated with higher rates of aggression compared to CdLS (73% > 40.2%), and CdLS is associated with higher rates of self-injury than AS (70.3% > 45.1%) .
Participants with PTHS were recruited via the Pitt Hopkins UK family support group. All families who had provided consent to be contacted by the syndrome support group were invited to take part in the present study via research advertisements shared by email and social media platforms. Twenty-four families responded to this invitation and provided consent to participate in the present study.
Parents/caregivers of individuals with PTHS were invited to complete online questionnaires, using LimeSurvey 2.00+ software. The online survey contained information sheets, consent forms, a background information questionnaire including demographic questions and questions about the person’s diagnosis and genetic mutation and informant-report questionnaires assessing behavioural, psychological, social and physical characteristics commonly reported in ID populations.
All participants had a diagnosis of PTHS, made by a clinical geneticist, paediatrician, or via medical research participation. Reported genetic mutations were 11 unspecified mutations of TCF4, nine deletions, one frameshift mutation, one translocation, one sequence repetition and one splice site mutation, ascertained through parent-report of syndrome diagnosis details (including the genetic mechanism if known, date of diagnosis and diagnostic information).
The mean age of the PTHS group was 11.2 years (SD = 7.8 years, range = 1–30 years) and 50% of the sample were male (n = 12). Eleven participants (45.8%) were fully mobile (defined as able to walk unaided), and two participants (8.3%) were verbal (defined as able to speak or sign more than 30 words). Nine participants (37.5%) had normal vision, 14 (58.3%) had poor vision and one participant (4.2%) was blind/almost blind. Twenty-three participants (95.8%) had normal hearing and one participant (4.2%) was deaf/almost deaf.
The comparison groups had previously participated in research projects at the Cerebra Centre for Neurodevelopmental Disorders, University of Birmingham, and had provided consent for their data to be utilised in future research studies. Individuals with CdLS and AS were matched to individuals with PTHS first by level of ability, according to the self-help subscale of the Wessex scale  (self-help score +/− 1 point), then by age (+/− 3 years), verbal ability (verbal or non-verbal), mobility and sex. Every participant with PTHS but one was matched with equal scores for ability to individuals with AS and CdLS . The age of participants was then prioritised before matching for verbal ability, mobility and sex.
The background information questionnaire provided details relating to sex, age, verbal ability, mobility and any health problems encountered within the last 6 months. Additional parent-report questionnaires included the Wessex Questionnaire (WQ) , Social Communication Questionnaire Lifetime Version (SCQ) , the Sociability Questionnaire for people with Intellectual Disability (SQID) , the Challenging Behaviour Questionnaire (CBQ) , the Mood, Interest and Pleasure Questionnaire-Short Form (MIPQ) , the Repetitive Behaviour Questionnaire (RBQ) , the Activity Questionnaire (TAQ) , Health Questionnaire (HQ) , and the Sensory Experience Questionnaire (SEQ) . See Table 2 for descriptions and psychometric properties of assessments used.
Due to violations of assumptions of parametric tests (including of normality and homogeneity of variance), non-parametric tests were used throughout.
Matched group comparisons
In order to compare individuals with PTHS with matched AS and CdLS groups, a series of Kruskal-Wallis tests were conducted to analyse group differences in total and subscale scores of questionnaires. Participants under the age of 4 years were excluded from SCQ data analysis, as this measure is not validated in children younger than 4 years . Post hoc Mann-Whitney U analyses were conducted to identify significant differences between PTHS and matched syndrome groups individually. Categorical data derived from the SCQ (meeting cut-off scores for ASD; SCQ scores > 15) and CBQ (yes/no presentation of behaviours within the previous month) were compared between groups using chi-square analyses and Fisher’s exact tests. Effect sizes were calculated in concordance with guidelines for non-parametric tests  and interpreted according to guidelines by Cohen .
Sociability and sensory experiences
Data for the SQID and the SEQ were not available for matched comparison groups. The analysis was therefore conducted in relation to previously published data. To assess sociability, single-sample Wilcoxon tests were performed to compare PTHS median scores for totals and subscales from the SQID with median scores presented by Moss and colleagues  for individuals with AS and CdLS. To explore sensory experiences in individuals with PTHS, SEQ median and interquartile ranges were reported and categorised into “typical”, “at risk” and “deficient” range according to Baranek’s  criterion cut-off points based upon data for typically developing participants.a
The relatively large number of group comparisons used in this study increases the likelihood of type 1 errors (inappropriately rejecting the null hypothesis). However, low power due to the relatively low n increases the likelihood of type 2 errors (inappropriately accepting the null hypothesis), which may involve overlooking clinically important group differences. Therefore, effects at p < 0.05 were reported as significant, but interpretation should be cautious, with attention also paid to effect sizes.
Cross-syndrome comparison: demographic characteristics
There were no significant differences between groups in adaptive ability, age, verbal ability, mobility or sex (see Table 3), indicating individuals with PTHS were well matched to both AS and CdLS groups. The average score on the self-help subscale of the Wessex  was low (mean 4; total scores range from 3 to 9, see Table 3), estimating limited self-help abilities. Participants with PTHS, AS and CdLS showed similar low ability across skill areas including washing, dressing and feeding ability. There were fewer individuals in the PTHS group with normal vision than in the AS group (χ2(1) = 12.16, p < .001) and more individuals with PTHS with normal hearing compared to the CdLS group (χ2(1) = 19.5, p < .001).
The most frequently reported lifetime health difficulties were gastrointestinal problems (n = 20, 83.3%), described as moderate severity by 29.2%, with seven individuals (35%) needing corrective treatment. Other frequent health difficulties were epilepsy/seizures (n = 12, 50%), ear problems (n = 12, 50%) and skin problems (n = 11, 45.8%). See Table 4 for details regarding health difficulties experienced by individuals with PTHS.
Autism spectrum disorder
There were significant between-group differences on the total score, Communication subscale and Reciprocal Social Interaction subscale of the SCQ (see Table 5). Individuals with PTHS showed significantly higher scores than those with AS on the total SCQ (U = 73.5, p < .001, r = .59, large effect size), the Communication subscale (U = 55, p < .001, r = .69, large effect size) and the Reciprocal Social Interaction subscale (U = 132, p = .009, r = .39, medium effect size). No significant differences were found between individuals with PTHS and CdLS on the total SCQ or any of the subscales. According to the SCQ, a significantly greater proportion of individuals with PTHS (95.5%) met the cut-off score to indicate possible ASD compared to AS (68.2%) (χ2 = 5.5 (1), p = .023), with a relative risk of 1.4 (95% CI, 1.04–1.89).
Significant differences in sociability scores were evident, when data from the PTHS group were compared to data from AS and CdLS groups derived from Moss et al. , using the SQID (see Table 6). Individuals with PTHS displayed significantly lower sociability than those with AS on both Unfamiliar (Z = 2.88, p = .004) and Familiar (Z = 3.95, p < .001) total scores. However, individuals with PTHS had higher sociability scores than those with CdLS on Unfamiliar total scores (Z = 2.92, p = .004) suggesting individuals with PTHS show higher levels of sociability with unfamiliar adults relative to individuals with CdLS.
There were no significant differences between PTHS, AS and CdLS groups on the RBQ total scores or any subscale score (Stereotyped Behaviour, Compulsive Behaviour or Insistence on Sameness, see Table 7). Items on the RBQ most frequently endorsed by individuals with PTHS were in the Stereotyped Behaviour domain, including object stereotypy (62.5%, all more than once a day), body stereotypy (54.2%, all more than once a day) and hand stereotypy (79.2%, all more than once a day). Overall, 75% of individuals with PTHS evidenced stereotyped behaviour within the previous month according to the CBQ (see Table 9).
The median scores of individuals with PTHS fell into the “deficient” range for Hypo-Responsiveness and Social Contexts and “at-risk” for Hyper-Responsiveness, Sensory Seeking, and Non-Social Contexts (see Table 8), according to Baranek’s  classifications based on normative data for typically developing children. The majority of individuals with PTHS were classified as “atypical” (defined as either “at risk” or “deficient” range), in relation to Hypo-Responsiveness (95.8%) and Social Contexts (91.7%).
A large proportion of the individuals with PTHS had displayed self-injurious behaviour (70.8%) and/or physical aggression (54.2%) in the last month; property destruction was also reported for 37.5% of the sample (see Table 9). A significantly greater proportion of individuals with PTHS showed self-injurious behaviour compared to individuals with AS (χ2 = 4.15, p = .042, RR = 1.7, 95% CI = .99–2.91), and a significantly greater proportion of individuals with PTHS showed physical aggression compared to individuals with CdLS (χ2 = 4.27, p = .039, RR = 2.17, 95% CI = .99–4.75). Fewer people with PTHS (37.5%) displayed destruction of property relative to AS (54.2%) or CdLS (54.2%), although these differences did not reach statistical significance.
Individuals with PTHS displayed significantly lower scores than individuals with AS on the total MIPQ-S score (U = 185.5, p = .034, r = .31, medium effect size) and Mood subscale (U = 105, p < .001, r = .55, large effect size). No significant differences were evident between any of the groups on the Interest and Pleasure subscale (see Table 7).
No significant differences were found between individuals with PTHS and individuals with AS or CdLS on the total TAQ score or Impulsivity or Overactivity subscales (see Table 7).
The current study used standardised informant report measures validated for people with ID and a cross-syndrome comparative approach, to further understand the behavioural profile in PTHS. To our knowledge, this is the first study using such methodology to explore the behavioural phenotype of PTHS.
The findings presented here are consistent with previous indications that a large majority of people with PTHS may meet criteria for ASD . A very high proportion of individuals with PTHS in the current study (> 95%) met cut-off for ASD symptomatology on the SCQ. This significantly exceeded the proportion of individuals meeting cut-off in the group of matched individuals with AS, a syndrome associated with elevated likelihood of ASD . Although a greater proportion of individuals with PTHS than CdLS met cut-off for ASD, this difference was not statistically significant. Notably, CdLS is a syndrome group with a well-established association with ASD , and therefore, this finding is consistent with high levels of ASD symptomatology in both groups. It is important to note that the SCQ is not a diagnostic tool and may over-estimate the prevalence of ASD in genetic syndrome groups, given that developmental level is not taken into account . However, this is likely to be the case for all syndrome groups in the current analysis, given that their ability levels were approximately matched. Although the SCQ has a strong history in the elucidation of ASD-related behaviours in genetic syndrome groups associated with divergent ID profiles (e.g. [34, 67]), future studies should consider the use of additional measures to explore ASD phenomenology more comprehensively in PTHS.
Refining the ASD-related behavioural profile in PTHS based on the preliminary data we have presented here may have significant clinical implications regarding the utility of services for ASD in this syndrome group. ASD specific interventions may be useful for those diagnosed with co-occurring ASD, but the specific target of such interventions and their appropriateness in PTHS warrants further investigation. Future research may wish to explore the utility of ASD intervention models in this syndrome group (e.g. Applied Behaviour Analysis ) and whether existing ASD early intervention programs will also be of benefit in PTHS (e.g. JASPER, Joint Attention Symbolic Play Engagement and Regulation ).
It is important to consider the specific profile of ASD phenomenology in syndrome groups, as evidence suggests the profile of ASD-related behaviours may differ from idiopathic ASD (e.g. ) and may also vary considerably between syndrome groups (e.g. [16, 17]). In the case of fragile X syndrome, for instance, the pattern of repetitive behaviours (e.g. fewer compulsive and ritualistic behaviours) and social communication deficits (e.g. relatively intact social response, facial expression and social smile behaviours) appears to be qualitatively distinct from idiopathic ASD , alluding more to difficulties relating to social anxiety as opposed to social preference . Behavioural comparisons to an idiopathic ASD group will further elucidate the profile of similarities and differences in PTHS.
The current data suggest difficulties with both social communication and restricted/repetitive behaviours in PTHS, supporting earlier literature presented by Zollino and colleagues . Specifically, individuals with PTHS showed greater social communication deficits than those with AS and similarly high levels of impairment to those with CdLS (as outlined in the existing CdLS literature ). Further exploration of social characteristics using a dedicated sociability questionnaire, the SQID , confirmed lower levels of sociability in PTHS than in AS, but higher sociability with unfamiliar people in PTHS compared to CdLS. This may partially reflect high rates of social anxiety in CdLS [50, 51] that is more likely to manifest with unfamiliar people and potentially an absence of such social anxiety presentations in PTHS. However, the current study also found individuals with PTHS displayed lower mood than individuals with AS, partially contradicting the comparable happy demeanour and affectionate temperament in PTHS. Therefore, the association between internalising states and social characteristics warrants further investigation in PTHS.
Repetitive behaviours were comparable across all three syndrome groups in the current study. Most notably, rates of compulsive behaviour and insistence on sameness were markedly low in these groups, as previously reported in the AS and CdLS literature . Specifically, a large proportion of the PTHS group (75%) showed object, body or hand stereotypies within the stereotyped behaviour domain, which are likely to contribute to the presentation of ASD-like characteristics in this group. Over 95% of the sample was reported to have displayed hypo-responsive behaviours within social contexts and over 60% displayed hyper-responsive behaviours to sensory input. Both hyper- and hypo-responsivity have previously been reported in children with ASD and developmental delay [35, 73], and therefore, this atypical presentation of sensory processing in individuals with PTHS may also relate to the ASD presentation in this syndrome. Given the established relationship between sensory processing deficits and stereotyped behaviours in the ASD literature , which may be mediated by anxiety in some cases , the distinct profile of stereotyped behaviours and its potential neuropsychological correlates should form a focus for future PTHS research.
High rates of physical aggression and self-injury in the PTHS group should also be explored at a functional level. Further research may aim to delineate potentially contributory factors to these behaviours, in relation to cognitive, biological and environmental correlates. It is possible, for example, that the sensory processing difficulties documented in this study may contribute to physical aggression (e.g. see ), and given the established relationship between self-injury and gastroesophageal reflux in CdLS , the potential contribution of pain to challenging behaviour in PTHS should not be underestimated. A majority of participants in the current cohort were reported to show gastrointestinal problems (83.3%), lending support for a more thorough and comprehensive behavioural assessment of pain in this syndrome group. Measures such as the Face, Legs, Activity, Cry and Consolability (FLACC) behavioural pain assessment scale  and the Non-Communicating Children’s Pain Checklist (NCCPC ) have been utilised effectively to explore the relationship between pain and behaviour in other syndrome groups (e.g. ) and may offer similar utility in PTHS.
This study employed a number of measures with known psychometric properties in ID research (e.g. [18, 19, 24, 31, 35]). However, the limitations associated with the use of informant-report behavioural questionnaires and a screening measure to explore ASD phenomenology should be held in mind. Future research would benefit from use of direct observational approaches and gold standard assessment tools, such as the Autism Diagnostic Observation Schedule (ADOS ) to explore specific topographies of behaviour in this syndrome group. More detailed measures of ability would also enable a more thorough matching strategy, to further delineate the contribution of ID, verbal ability and adaptive functioning to behaviour in PTHS.
Although the AS and CdLS groups are relatively representative of their syndromes described within literature (e.g. [12, 24, 25]), it should be noted that the matching process employed introduced selection bias for the comparison groups in this study, and thus, the AS and CdLS groups selected may not be wholly representative. The proportion of people meeting criteria for ASD in these groups exceeded that generally reported in the literature (43% CdLS, 34% AS) , which may be a consequence of individuals with lower levels of adaptive functioning being selected as matched participants for the PTHS group.
This study also did not employ direct genetic testing. All participants had a confirmed genetic mutation of the TCF4 gene as reported by parents/caregivers; however, it was not possible to delineate potential genotype-phenotype relationships. Results indicate possible behavioural differences between PTHS and AS groups, despite phenotypic similarities noted in the literature; this may be useful in distinguishing clinically between these syndromes and in appropriate targeting of diagnostic tests. Genetic analysis of both AS and PTHS can be complex, as a number of pathogenic variants involving the UBE3A gene and the TCF4 gene can lead to an AS or PTHS diagnosis, respectively [4, 39]. Routine sequencing or microarray analysis may not always be able to confirm diagnosis and further testing, for example testing for single exon deletions, might only be pursued if there is a strong clinical suspicion of either of these disorders, with behavioural features being one of the major distinguishing features. Given the deletion/non-deletion phenotypic distinctions in AS [82, 83], phenotypic differences relating to genetic subtype may be an important avenue for future PTHS research.
Individuals with PTHS showed greater impairment in reciprocal social interaction and social communication than those with AS, with a greater proportion of those with PTHS than AS meeting cut-off scores for ASD symptomatology. Individuals with PTHS also evidenced high rates of stereotyped behaviour and atypical sensory processing, which may be further indicative of a profile of behaviour in PTHS which has features in common with ASD (see also [5, 14]). Future research should explore whether the profile of ASD-related characteristics is qualitatively convergent with that of individuals with idiopathic ASD via formal comparisons utilising direct behavioural observations and gold standard assessments.
Availability of data and materials
The data that support the findings of this study are not available due to them containing information that could compromise research participant consent.
Attention deficit hyperactivity disorder
Autism Diagnostic Observation Schedule
Autism spectrum disorder
The Challenging Behaviour Questionnaire
Cornelia de Lange syndrome
Face, Legs, Activity, Cry and Consolability behavioural pain assessment scale
Joint Attention Symbolic Play Engagement and Regulation
The Mood, Interest and Pleasure Questionnaire
Non-Communicating Children’s Pain Checklist
The Repetitive Behaviour Questionnaire
Social Communication Questionnaire
Sensory Experience Questionnaire
The Sociability Questionnaire for people with Intellectual Disability
The Activity Questionnaire
Pitt D, Hopkins I. A syndrome of mental retardation, wide mouth and intermittent overbreathing. J Paediatr Child Health. 1978;14:182–4.
Giurgea I, Missirian C, Cacciagli P, Whalen S, Fredriksen T, Gaillon T, Dubourg C: TCF4 deletions in Pitt-Hopkins syndrome. Hum Mutat, 2008, 29(11).
Marangi G, Ricciardi S, Orteschi D, Lattante S, Murdolo M, Dallapiccola B, Greco D. The Pitt-Hopkins syndrome: report of 16 new patients and clinical diagnostic criteria. Am J Med Genet A. 2011;155:1536–45.
Whalen S, Héron D, Gaillon T, Moldovan O, Rossi M, Devillard F, Giuliano F, Soares G, Mathieu-Dramard M, Afenjar A, Charles P, Mignot C, Burglen L, Van Maldergem L, Piard J, Aftimos S, Mancini G, Dias P, Philip N, Goldenberg A, Le Merrer M, Rio M, Josifova D, Van Hagen J, Lacombe D, Edery P, Dupuis-Girod S, Putoux A, Sanlaville D, Fischer R, et al. Novel comprehensive diagnostic strategy in Pitt-Hopkins syndrome: clinical score and further delineation of the TCF4 mutational spectrum. Hum Mutat. 2012;33:64–72.
Zollino M, Zweier C, Van Balkom ID, Sweetser DA, Alaimo J, Bijlsma EK, Cody J, Elsea SH, Giurgea I, Macchiaiolo M, Smigiel R. Diagnosis and management in Pitt-Hopkins syndrome: first international consensus statement. Clin Genet. 2019;95(4):462–78.
de Winter C, Baas M, Bijlsma E, van Heukelingen J, Routledge S, Hennekam R. Phenotype and natural history in 101 individuals with Pitt-Hopkins syndrome through an internet questionnaire system. Orphanet J Rare Dis. 2016;11.
Goodspeed K, Newsom C, Morris M, Powell C, Evans P, Golla S. Pitt-Hopkins syndrome: a review of current literature, clinical approach, and 23-patient case series. J Child Neurol. 2018;33:233–44.
Sweatt J. Pitt-Hopkins syndrome: intellectual disability due to loss of TCF4-regulated gene transcription. Exp Mol Med. 2013;45:e21.
Hasi M, Soileau B, Sebold C, Hill A, Hale D, O’Donnell L, Cody J. The role of the TCF4 gene in the phenotype of individuals with 18q segmental deletions. Hum Genet. 2011;130:777–87.
Brockschmidt A, Todt U, Ryu S, Hoischen A, Landwehr C, Birnbaum S, Frenck W, Radlwimmer B, Lichter P, Engels H, Driever W. Severe mental retardation with breathing abnormalities (Pitt–Hopkins syndrome) is caused by haploinsufficiency of the neuronal bHLH transcription factor TCF4. Hum Mol Genet. 2007;16(12):1488–94.
Zweier C, Sticht H, Bijlsma E, Clayton-Smith J, Boonen S, Fryer A, Greally M, Hoffmann L, den Hollander N, Jongmans M, Kant S, King M, Lynch S, McKee S, Midro A, Park S, Ricotti V, Tarantino E, Wessels M, Peippo M, Rauch A. Further delineation of Pitt-Hopkins syndrome: phenotypic and genotypic description of 16 novel patients. J Med Genet. 2008;45:738–44.
Horsler K, Oliver C. The behavioural phenotype of Angelman syndrome. J Intellect Disabil Res. 2006;50:33–53.
Takano K, Lyons M, Moyes C, Jones J, Schwartz C. Two percent of patients suspected of having Angelman syndrome have TCF4 mutations. Clin Genet. 2010;78:282–8.
Van Balkom I, Vuijk P, Franssens M, Hoek H, Hennekam R. Development, cognition, and behaviour in Pitt-Hopkins syndrome. Dev Med Child Neurol. 2012;54:925–31.
Gotham K, Risi S, Pickles A, Lord C. The autism diagnostic observation schedule: revised algorithms for improved diagnostic validity. J Autism Dev Disord. 2007;37(4):613.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders (DSM-5®): American Psychiatric Pub; 2013.
Richards C, Jones C, Groves L, Moss J, Oliver C. Prevalence of autism spectrum disorders: a systematic review and meta analysis. Lancet Psychiatry. 2015;10:909–16.
Moss J, Howlin P. Autism spectrum disorders in genetic syndromes: implications for diagnosis, intervention and understanding the wider autism spectrum disorder population. J Intellect Disabil Res. 2009;53(10):852–73.
Moss J, Oliver C, Nelson L, Richards C, Hall S. Delineating the profile of autism spectrum disorder characteristics in Cornelia de Lange and fragile X syndromes. Am J Intellect Dev Disabil. 2013;118(1):55–73.
Mulder PA, Huisman S, Landlust AM, Moss J, SMC1A consortium, Piening S, Hennekam RC, van Balkom ID. Development, behaviour and autism in individuals with SMC1A variants. J Child Psychol Psychiatry. 2019;60(3):305–13.
Thye MD, Bednarz HM, Herringshaw AJ, Sartin EB, Kana RK. The impact of atypical sensory processing on social impairments in autism spectrum disorder. Dev Cogn Neurosci. 2018;29:151–67.
Crasta J, Davies PL. Behavioral and neural sensory processing in young adults with autism spectrum disorder. Am J Occup Ther. 2018;72(4_Supplement_1):7211505081p1.
Reiersen AM. New evidence of genetic overlap between atypical sensory reactivity and autistic traits: implications for future research. J Am Acad Child Adolesc Psychiatry. 2018;57(2):84–5.
Arron K, Oliver C, Moss J, Berg K, Burbidge C. The prevalence and phenomenology of self-injurious and aggressive behaviour in genetic syndromes. J Intellect Disabil Res. 2011;55(2):109–20.
Basile E, Villa L, Selicorni A, Molteni M. The behavioural phenotype of Cornelia de Lange syndrome: a study of 56 individuals. J Intellect Disabil Res. 2007;51:671–81.
Berney TP, Ireland M, Burn J. Behavioural phenotype of Cornelia de Lange syndrome. Arch Dis Child. 1999;81(4):333–6.
Oliver C, Sloneem J, Hall S, Arron K. Self-injurious behaviour in Cornelia de Lange syndrome: 1. Prevalence and phenomenology. J Intellect Disabil Res. 2009;53(7):575–89.
Dykens EM. Measuring behavioral phenotypes: provocations from the “new genetics.”. American Journal on Mental Retardation. 1995.
Hodapp R, Dykens E. Strengthening behavioral research on genetic mental retardation syndromes. Am J Ment Retard. 2001;106:4.
Waite J, Heald M, Wilde L, Woodcock K, Welham A, Adams D, Oliver C. The importance of understanding the behavioural phenotypes of genetic syndromes associated with intellectual disability. Paediatr Child Health. 2014;24:468–72.
Moss J, Nelson L, Powis L, Waite J, Richards C, Oliver C. A comparative study of sociability in Angelman, Cornelia de Lange, fragile X, down and Rubinstein Taybi syndromes and autism spectrum disorder. Am J Intellect Dev Disabil. 2016;121:465–86.
Ross E, Arron K, Oliver C: The mood interest and pleasure questionnaire. Manual for administration and scoring. University of Birmingham; 2008.
Moss J, Oliver C: The repetitive behaviour scale. Manual for administration and scorer interpretation. University of Birmingham, 2008.
Oliver C, Berg K, Moss J, Arron K, Burbidge C. Delineation of behavioral phenotypes in genetic syndromes: characteristics of autism spectrum disorder, affect and hyperactivity. J Autism Dev Disord. 2011;41(8):1019–32.
Baranek GT, David FJ, Poe MD, Stone WL, Watson LR. Sensory experiences questionnaire: discriminating sensory features in young children with autism, developmental delays, and typical development. J Child Psychol Psychiatry. 2006;47(6):591–601.
Hyman P, Oliver C, Hall S. Self-injurious behavior, self-restraint, and compulsive behaviors in Cornelia de Lange syndrome. Am J Ment Retard. 2002;107:146.
Williams C. The behavioral phenotype of the Angelman syndrome. Am J Med Genet C: Semin Med Genet. 2010;154C:432–7.
Clarke DJ, Marston G. Problem behaviors associated with 15q-Angelman syndrome. Am J Ment Retard. 2000;105(1):25–31.
Buiting K, Williams C, Horsthemke B. Angelman syndrome—insights into a rare neurogenetic disorder. Nat Rev Neurol. 2016;12(10):nrneurol-2016.
Kline A, Krantz I, Sommer A, Kliewer M, Jackson L, FitzPatrick D, Levin A, Selicorni A. Cornelia de Lange syndrome: clinical review, diagnostic and scoring systems, and anticipatory guidance am J med genet part a 143A:1287-1296. Am J Med Genet A. 2008;146A:2713.
Mulder PA, Huisman SA, Hennekam RC, Oliver C, Van Balkom ID, Piening S. Behaviour in Cornelia de Lange syndrome: a systematic review. Dev Med Child Neurol. 2017;59(4):361–6.
Kishino T, Lalande M, Wagstaff J. UBE3A/E6-AP mutations cause Angelman syndrome. Nat Genet. 1997;15:70–3.
Williams CA, Mueller JM: Angelman Syndrome. In: Rosenburg R, Pascual J, editors. Rosenburg’s molecular and genetic basis of neurological and psychiatric disease (fifth edition) 2015. p. 219–228.
Boudaoud I, Fournier É, Baguette A, Vallée M, Lamaze FC, Droit A, Bilodeau S. Connected gene communities underlie transcriptional changes in Cornelia de Lange syndrome. Genetics. 2017:genetics-117.
Ramos FJ, Puisac B, Baquero-Montoya C, Gil-Rodríguez MC, Bueno I, Deardorff MA, Hennekam RC, Kaiser FJ, Krantz ID, Musio A, Selicorni A. Clinical utility gene card for: Cornelia de Lange syndrome. Eur J Hum Genet. 2015;23(10):1431.
Srivastava S, Landy-Schmitt C, Clark B, Kline AD, Specht M, Grados MA. Autism traits in children and adolescents with Cornelia de Lange syndrome. Am J Med Genet A. 2014;164(6):1400–10.
Moss J, Howlin P, Hastings RP, Beaumont S, Griffith GM, Petty J, Tunnicliffe P, Yates R, Villa D, Oliver C. Social behavior and characteristics of autism spectrum disorder in Angelman, Cornelia de Lange, and cri du chat syndromes. Am J Intellect Dev Disabil. 2013;118(4):262–83.
Kline AD, Moss JF, Selicorni A, Bisgaard AM, Deardorff MA, Gillett PM, Ishman SL, Kerr LM, Levin AV, Mulder PA, Ramos FJ. Diagnosis and management of Cornelia de Lange syndrome: first international consensus statement. Nat Rev Genet. 2018.
Nelson L, Moss J, Oliver C. A longitudinal follow-up study of affect in children and adults with Cornelia de Lange syndrome. Am J Intellect Dev Disabil. 2014;119:235–52.
Richards C, Moss J, O’Farrell L, Kaur G, Oliver C. Social anxiety in Cornelia de Lange syndrome. J Autism Dev Disord. 2009;39(8):1155–62.
Nelson L, Crawford H, Reid D, Moss J, Oliver C. An experimental study of executive function and social impairment in Cornelia de Lange syndrome. J Neurodev Disord. 2017;9(1):33.
Kushlick A, Blunden R, Cox G. A method of rating behaviour characteristics for use in large scale surveys of mental handicap. Psychol Med. 1973;3:466.
Rutter M, Bailey A, Lord C. SCQ. The social communication questionnaire. Torrance, CA: Western Psychological Services; 2003.
Burbidge C, Oliver C. The activity questionnaire. Manual for administration and score interpretation. Birmingham: University of Birmingham; 2008.
Hall S, Arron K, Sloneem J, Oliver C. Health and sleep problems in Cornelia de Lange syndrome: a case control study. J Intellect Disabil Res. 2008;52:458–68.
Baranek GT. Sensory experiences questionnaire (SEQ). Chapel Hill: University of North Carolina; 1999a. Unpublished manuscript
Berument S, Rutter M, Lord C, Pickles A, Bailey A. Autism screening questionnaire: diagnostic validity. Br J Psychiatry. 1999;175:444–51.
Bishop D, Norbury C. Exploring the borderlands of autistic disorder and specific language impairment: a study using standardised diagnostic instruments. J Child Psychol Psychiatry. 2002;43:917–29.
Aman MG, Singh NN, Stewart AW, Field CJ. The aberrant behavior checklist: a behavior rating scale for the assessment of treatment effects. Am J Ment Defic. 1985.
Oliver C, McClintock K, Hall S, Smith M, Dagnan D, Stenfert-Kroese B. Assessing the severity of challenging behaviour: psychometric properties of the challenging behaviour interview. J Appl Res Intellect Disabil. 2003;16(1):53–61.
Moss J, Oliver C, Arron K, Burbidge C, Berg K. The prevalence and phenomenology of repetitive behavior in genetic syndromes. J Autism Dev Disord. 2009;39(4):572–88.
Baranek G, David F, Poe M, Stone W, Watson L. Sensory experiences questionnaire: discriminating sensory features in young children with autism, developmental delays, and typical development. J Child Psychol Psychiatry. 2005;47:591–601.
Little L, Freuler A, Houser M, Guckian L, Carbine K, David F, Baranek G. Psychometric validation of the sensory experiences questionnaire. Am J Occup Ther. 2011;65:207–10.
Baranek GT, Costello VC. Defining sensory processing characteristics in children with autism. Washington, DC: Paper presented at The American Occupational Therapy Association’s 83rd Annual Conference and Expo; 2003.
Fritz CO, Morris PE, Richler JJ. Effect size estimates: current use, calculations, and interpretation. J Exp Psychol Gen. 2012;141(1):2.
Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale, NJ: L Lawrence Earlbaum Associates; 1988. p. 2.
Moss J, Richards C, Nelson L, Oliver C. Prevalence of autism spectrum disorder symptomatology and related behavioural characteristics in individuals with Down syndrome. Autism. 2013;17(4):390–404.
Callahan K, Shukla-Mehta S, Magee S, Wie M. ABA versus TEACCH: the case for defining and validating comprehensive treatment models in autism. J Autism Dev Disord. 2010;40(1):74–88.
Goods KS, Ishijima E, Chang YC, Kasari C. Preschool based JASPER intervention in minimally verbal children with autism: pilot RCT. J Autism Dev Disord. 2013;43(5):1050–6.
Richards C, Powis L, Moss J, Stinton C, Nelson L, Oliver C. Prospective study of autism phenomenology and the behavioural phenotype of Phelan–McDermid syndrome: comparison to fragile X syndrome, Down syndrome and idiopathic autism spectrum disorder. J Neurodev Disord. 2017;9(1):37.
Wolff JJ, Bodfish JW, Hazlett HC, Lightbody AA, Reiss AL, Piven J. Evidence of a distinct behavioral phenotype in young boys with fragile X syndrome and autism. J Am Acad Child Adolesc Psychiatry. 2012;51(12):1324–32.
Hong MP, Eckert EM, Pedapati EV, Shaffer RC, Dominick KC, Wink LK, Sweeney JA, Erickson CA. Differentiating social preference and social anxiety phenotypes in fragile X syndrome using an eye gaze analysis: a pilot study. J Neurodev Disord 2019;11(1):1.
Boyd BA, Baranek GT, Sideris J, Poe MD, Watson LR, Patten E, Miller H. Sensory features and repetitive behaviors in children with autism and developmental delays. Autism Res. 2010;3(2):78–87.
Gabriels RL, Agnew JA, Miller LJ, Gralla J, Pan Z, Goldson E, Ledbetter JC, Dinkins JP, Hooks E. Is there a relationship between restricted, repetitive, stereotyped behaviors and interests and abnormal sensory response in children with autism spectrum disorders? Res Autism Spectr Disord. 2008;2(4):660–70.
Joosten AV, Bundy AC. Sensory processing and stereotypical and repetitive behaviour in children with autism and intellectual disability. Aust Occup Ther J. 2010;57(6):366–72.
Mazurek MO, Kanne SM, Wodka EL. Physical aggression in children and adolescents with autism spectrum disorders. Res Autism Spectr Disord. 2013;7(3):455–65.
Luzzani S, Macchini F, Valade A, Milani D, Selicorni A. Gastroesophageal reflux and Cornelia de Lange syndrome: typical and atypical symptoms. Am J Med Genet A. 2003;119(3):283–7.
Merkel S, Voepel-Lewis T, Malviya S. Pain control: pain assessment in infants and young children: the FLACC scale. Am J Nurs. 2002;102(10):55–8.
Breau LM, McGrath PJ, Camfield CS, Finley GA. Psychometric properties of the non-communicating children's pain checklist-revised. Pain. 2002;99(1–2):349–57.
Eden KE, de Vries PJ, Moss J, Richards C, Oliver C. Self-injury and aggression in tuberous sclerosis complex: cross syndrome comparison and associated risk markers. J Neurodev Disord. 2014;6(1):10.
Lord C, Rutter M, DiLavore P, Risi S, Gotham K, Bishop SL. Autism diagnostic observation schedule (ADOS) manual. Los Angeles: Western Psychological Services; 1999.
Gentile JK, Tan WH, Horowitz LT, Bacino CA, Skinner SA, Barbieri-Welge R, Bauer-Carlin A, Beaudet AL, Bichell TJ, Lee HS, Sahoo T. A neurodevelopmental survey of Angelman syndrome with genotype-phenotype correlations. J Dev Behav Pediatr. 2010;31(7):592.
Moncla A, Malzac P, Voelckel MA, Auquier P, Girardot L, Mattei MG, Philip N, Mattei JF, Lalande M, Livet MO. Phenotype–genotype correlation in 20 deletion and 20 non-deletion Angelman syndrome patients. Eur J Hum Genet. 1999;7(2):131.
The authors would like to thank all of the participants and families who took part in this research and Pitt Hopkins UK for helping with recruitment. The authors would particularly like to thank Sue Routledge for all her efforts and contribution in recruitment for the project.
aDue to a technical error, responses to question 38 of the SEQ were unfortunately not available for the PTHS group. Missing values were replaced with mean scores for other subscale items, as recommended by the test authors.
This research was funded by the Cerebra Centre for Neurodevelopmental Disorders.
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Ethical approval for the current study was obtained from the Coventry Research Ethics Committee.
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The authors declare that they have no competing interests.
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Watkins, A., Bissell, S., Moss, J. et al. Behavioural and psychological characteristics in Pitt-Hopkins syndrome: a comparison with Angelman and Cornelia de Lange syndromes. J Neurodevelop Disord 11, 24 (2019) doi:10.1186/s11689-019-9282-0
- Angelman syndrome
- Autism spectrum disorder
- Behavioural phenotype
- Cornelia de Lange syndrome
- Pitt-Hopkins syndrome