Abstract
Executive functions are amongst the most heritable cognitive traits with twin studies indicating a strong genetic origin. However genes associated with this domain are unknown. Our research into the neurodevelopmental disorder Williams-Beuren syndrome (WBS) has identified a gene within the causative recurrent 1.5/1.6 Mb heterozygous microdeletion on chromosome 7q11.23, which may be involved in executive functioning. Comparative genome array screening of 55 WBS patients revealed a larger ∼1.8 Mb microdeletion in 18% of cases, which results in the loss of an additional gene, the transcription factor GTF2IRD2. The GTF gene family of transcription factors (GTF2I, GTF2IRD1 and GTF2IRD2) are all highly expressed in the brain, and GTF2I and GTF2IRD1 are involved in the pathogenesis of the cognitive and behavioural phenotypes associated with WBS. A multi-level analysis of cognitive, behavioural and psychological functioning in WBS patients showed that those with slightly larger deletions encompassing GTF2IRD2 were significantly more cognitively impaired in the areas of spatial functioning, social reasoning, and cognitive flexibility (a form of executive functioning). They also displayed significantly more obsessions and externalizing behaviours, a likely manifestation of poor cognitive flexibility and executive dysfunction. We provide the first evidence for a role for GTF2IRD2 in higher-level (executive functioning) abilities and highlight the importance of integrating detailed molecular characterisation of patients with comprehensive neuropsychological profiling to uncover additional genotype-phenotype correlations. The identification of specific genes which contribute to executive function has important neuropsychological implications in the treatment of patients with conditions like WBS, and will allow further studies into their mechanism of action.
Introduction
Williams-Beuren Syndrome (WBS) is a neurodevelopmental disorder caused by a hemizygous multi-gene deletion on chromosome 7q11.23. Clinical features are multi-systemic and include characteristic craniofacial, cardiovascular, growth and neurological abnormalities [1]–[4]. Abnormal spatial and social abilities play a role in the striking cognitive and behavioural phenotype, which includes a global intellectual impairment, with weaknesses in spatial and visual motor skills alongside strengths in auditory, verbal and short-term memory abilities. WBS individuals are also very friendly, gregarious and empathic, with relatively good emotion recognition abilities. In contrast to their good social perceptual skills, their social reasoning capabilities, such as theory of mind are impaired [5], [6]. They display poor impulse control (behavioural disinhibition), a deficit which may underlie their apparent overfriendly personalities and tendency to approach strangers [7], [8].
Global brain abnormalities in WBS include an overall reduction in brain and cerebral volumes and abnormal cortical shape [9]–[13]. Structural and functional studies indicate impairments in dorsal stream functions and in the frontostriatal and amygdala-prefrontal circuitry [14], [15].
The prevalence of WBS is 1–2 in 20,000 [16], and most cases are sporadic [17]–[18] arising from instability at the 7q11.23 locus, which contains highly repetitive segmental duplications. These low copy repeats (LCRs) make the region prone to chromosome rearrangements through a mechanism of non-allelic homologous recombination [19]. The typical deletion, encompassing a region of about 1.5–1.6 Mb (∼26 genes), occurs in >95% of cases [19], [20]. There are rare cases with deletions in the critical region involving as few as 2 genes or up to 35 genes [21]–[25], with consequential milder or more severe phenotypes, respectively. These atypical cases have enabled genotype-phenotype correlations, highlighting the roles of LIMK1, CYLN2/CLIP2 (which regulate dynamic aspects of the cell cytoskeleton) [26], [27], and the GTF2I gene family as candidates for the neurological features. The GTF2I family, clustered at the WBS locus, encode ubiquitously expressed transcription factors with roles in many developmental pathways, making them strong candidates for the main neurological phenotypes [28]–[30]. GTF2I/TFII-I is a general transcription factor, GTF2IRD1 a determinant of craniofacial and neurological development, while the role of GTF2IRD2 is as yet undefined.
Extensive phenotypic heterogeneity has been reported in WBS patients across a range of clinical, psychological and cognitive functions [23], [31]–[38]. This heterogeneity may be a consequence of variable penetrance, differences in the genomic region deleted or additional genetic mutations occurring elsewhere in the genome. Previous studies have compared rare patients with smaller deletions to ‘classical’ cases [21]–[25], but this study is the first to compare the genotype and detailed neuropsychological capabilities of patients grouped in the ‘classical’ WBS range. Our hypothesis is that patients clinically classified as typical WBS but who harbour slightly larger ∼1.8 Mb deletions, will display additional neuropsychological features due to haploinsufficiency for additional genes,, thus explaining some of the phenotypic heterogeneity seen in WBS.
Materials and Methods
Genetic Analysis
Australian ‘classical WBS’ patients (n = 55) were ascertained by experienced clinical geneticists. Patients were screened for a deletion using the ELN/LIMK1 FISH probe [39], and all had a normal karyotype apart from the 7q11.23 microdeletion. Blood for DNA analysis was obtained from patients and their parents. Ethical consent for this study was obtained from Macquarie University.
Quantitative PCR (qPCR) analysis was used to determine deletion breakpoints by using 60 probes that cover and extend into the WBS flanking LCR regions (Methods S1). Array comparative genomic hybridization (aCGH) with the Agilent International Standard Cytogenomic Array Consortium custom 8×80 k array were used to detect sub-microscopic abnormalities, copy number variants (CNVs) [40] according to manufacturer's instructions. All CNVs detected were screened against the Database of Genomic Variants (DGV) to establish whether they were polymorphisms or unique variants. Patients were grouped accoording to their deletion size: Group 1 = 1.5/1.6 Mb deletion; Group 2 = 1.8 Mb deletion.
Neuropsychological Testing
Intellectual and more specific cognitive abilities were assessed using the Woodcock-Johnson Test of Cognitive Ability – Revised (WJ-R COG) [41], [35]. Spatial measures included a task of spatial construction [36] and spatial perception (Test 19 Spatial Relations from the WJ-R COG, see Figure S1). Social tasks included: 1) an emotion recognition task - The Diagnostic Analysis of Nonverbal Accuracy [42], [7]; 2) a social reasoning or ‘Theory of Mind’ measure, namely, a nonverbal picture sequencing task (Figure S2) [6]. Behavioural inhibition and cognitive flexibility were assessed using The Shape School Test [43], [7] (Methods S1).
General history was collected from primary caregivers using: a generic background history questionnaire; a semi-structured DSM-IV diagnostic interview that assesses 32 DSM-IV Axis I psychiatric diagnoses known as The Schedule for Affective Disorders and Schizophrenia (K-SADS-PL) [44], [45] and the Vineland Adaptive Behavior Scales – 2nd Edition (Parent Survey) or Vineland-II [46]. Additional standardized measures administered to atypical patients, included the Benton Face Recognition Test [47], The Benton Judgment of Line Orientation Test [48] and the Differential Ability Scales (DAS) [49]. Where standardized measures were administered, we used the normative data available (Woodcock-Johnson Test of Cognitive Ability – Revised; K-SADS-PL; Vineland-II, Benton Face Recognition; Benton Judgment of Line Orientation; DAS). In all other instances, we included a typically developing (TD) control group matched to WBS patients on chronological age (CA) or mental age (MA).
WBS patients with a ∼1.5/1.6 Mb deletion (Group 1) were selected to individually match the ∼1.8 Mb deleted individuals (Group 2) (n = 9 in each group) on CA, IQ, Socio-Economic Status (SES), sex and hand dominance. SES was obtained using the Index of Relative Socio-Economic Advantage and Disadvantage and was representative of the Australian population (national mean±SD = 1000±100). TD controls individually matched typical WBS patients on sex and either MA or CA (Table S1). Different control participants were used for each of the non-standardised neuropsychological measures. There were no statistical differences between WBS patients and control groups on the group matching variables. We recruited separate MA- and CA-matched TD controls for atypical patients WBS425 and WBS023I, as MA and CA were higher than the typical WBS groups. Means ± SD for this new control group were not significantly different to atypical patients. No participant had a history of neurological problems not associated with WBS, depression or any other psychological illness that would affect their results.
Statistical Analyses
Analyses of variance and follow-up one-tailed t-tests were used to explore group differences between the two WBS patient groups and between patient groups and controls. For follow-up comparison t-tests, we adjusted our alpha level to 0.01 to control for multiple comparisons. Crawford's between-groups test of single case comparison was used for statistical analyses comparing the two atypical cases to their MA- and CA-matched control group, as this procedure allows for the comparison between a single patient and their controls (n = 5) [50].
Results
Genetic Characterisation of Patients
53 of the 55 WBS patients were positive for a deletion using the ELN/LIMK1 FISH test [39]. ELN/LIMK1 qPCR analysis on parental DNA confirmed a de novo mutation status in all cases. Breakpoint mapping by qPCR into the LCR flanking regions identified ten patients (∼18%) with a larger ∼1.8 Mb heterozygous deletion including NCF1 and GTF2IRD2 (Group 2) (Figure 1; Table S2). 43 patients (Group 1) had the 1.5/1.6 Mb heterozygous deletion. This frequency is higher than the 5% reported in the literature [20], [21], [51], but consistent with more recent estimates from our UK cohort (MT unpublished data). The two FISH-negative WBS patients (WBS023I and WBS425) harboured smaller ∼0.78 Mb deletions extending from LIMK1 to distal breakpoints within the GTF2IRD2 gene (Figure 1; Table 1).
Table 1. Clinical and genetic profile of WBS patient cohorts.
Patient ID | FISH | #Size of deletion | WBSCR | Distal gene | FD | C | SS | HCa | HA | HS | Shy | Anx | Fear | DD | IQ |
test | ∼Mb | deletion | deleted | ||||||||||||
Controls average | −ve | none | none | none | n | n | n | n | n | n | n | n | n | n | average |
WBS average | +ve | 1.5/1.6 | Bc-Bm | GTF2I/NCF1 | y | y | y | y | y | y | y | y | y | y | mild to moderate impairment |
004B | +ve | 1.5 | Bc-Bm | GTF2I | y | y | n | n | y | y | n | y | y | y | mild to moderate impairment |
030J | +ve | 1.54 | Bc-Bm | NCF1 | y | y | y | n | y | y | n | y | y | y | mild impairment |
072X | +ve | 1.54 | Bc-Bm | NCF1 | y | n | y | n | n | y | n | y | y | y | mild to moderate impairment |
081AA | +ve | 1.54 | Bc-Bm | NCF1 | y | y | y | y | y | y | n | y | y | y | mild to moderate impairment |
022H | +ve | 1.62 | Bc-Bm | GTF2I | y (mild) | y | y | n | y | y | n | y | y | y | borderline impairment |
046P | +ve | 1.62 | Bc-Bm | GTF2I | y | y | y | n | y | y | n | y | y | y | mild impairment |
051Q | +ve | 1.62 | Bc-Bm | GTF2I | y | y | n | y | y | y | n | y | y | y | mild to moderate impairment |
066V | +ve | 1.62 | NOL1R-Bm | GTF2I | y | y | n | n | y | y | n | y | y | y | mild to moderate impairment |
019G | +ve | 1.64 | Bc-Bm | NCF1 | y | n | y | n | y | y | n | y | y | y | mild to moderate impairment |
178III | +ve | 1.64 | Bc-Bm | NCF1 | y | y | y | n | y | y | n | y | y | y | mild to moderate impairment |
012E | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | y | y | y | n | y | y | y | mild to moderate impairment |
032K | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | y | y | y | n | y | y | y | mild to moderate impairment |
043O | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | y | y | y | n | y | y | y | mild to moderate impairment |
054R | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | y | y | y | n | y | y | y | mild to moderate impairment |
056S | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | y | n | y | n | y | y | y | moderate impairment |
062U | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | n | y | n | y | y | n | y | y | y | mild to moderate impairment |
069W | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | n | y | y | n | y | y | y | severe impairment |
196OOOb | +ve | 1.8 | Bc-Bm | GTF2IRD2 | y | y | y | n | y | y | n | y | y | y | mild to moderate impairment |
112LL | +ve | ∼2 | Bc-Bt | GTF2IRD2B | y | y | y | y | y | y | n | y | y | y | borderline to mild impairment |
187LLL | +ve | ∼3.3 | CALN1-Bt | GTF2IRD2B | y | y | y | y | y | y | n | y | y | y | mild to moderate impairment |
WBS023I | −ve | ∼0.78 | LIMK1-Bm | GTF2IRD2 | y | y | n | y | y | y | n | y | y | y | borderline impairment |
WBS425 | −ve | ∼0.78 | LIMK1-Bm | GTF2IRD2 | y | y | n | y | y | y | n | y | y | y | borderline to mild impairment |
Key: +ve = deleted for ELN/LIMK1 FISH probe; −ve = not deleted for ELN/LIMK1 FISH probe. Bc refers to the centromeric breakpoint and Bm to the medial breakpoint.
approximate size due to the breakpoints residing in LCR duplicon regions. FD = facial dysmorphology; C = cardiac abnormality; SS = short stature; Hca = hypercalcaemia; HA = Hyperacusis; HS = hypersociability; Anx = Anxiety; Fear = Fears or Phobias; DD = developmental delay.
CNVs are associated with many neurological syndromes, therefore all patients were screened by genome-wide aCGH (Table S2). No additional novel or known disease-associated CNVs were detected in the patients. No GTF2IRD2 gene deletions were identified on screening 200 control chromosomes by qPCR, indicating it is not a common CNV.
GTF2IRD2 expression
GTF2IRD2 is ubiquitously expressed with high expression in human foetal and adult brain (Figure S3A). In silico expression profiling in normal adult brain using the GNF, GEO and the Allen Brain Atlas databases [52]–[54] revealed GTF2IRD2 expression in all main brain regions, especially cerebellum, orbitofrontal cortex and dorsolateral prefrontal cortex (Figure S3B–D).
Cognitive similarities between WBS groups
WJ-R COG factor scores were similar for all patient groups (Table 2). Both groups displayed the characteristic WBS cognitive profile, with mild to moderate intellectual impairment, including slowed psychomotor/processing speed, and comparatively good verbal, short-term memory and auditory processing abilities compared to global IQ. All abilities on the WJ-R COG were impaired apart from auditory processing, which usually fell within the borderline impaired to lower average range. Both WBS patient groups displayed a similar performance on measures of spatial construction, emotion recognition, false belief understanding and behavioural inhibition (Figures 2, 3, and 4).
Table 2. Descriptive statistics for the WBS patient cohorts and for the atypical partial deletion cases (WBS425 and WBS023I).
∼1.5/1.6 Mb cohort | ∼1.8 Mb cohort | WBS023I | WBS425 | |
Number in group | 9 | 9 | 1 | 1 |
Chronological Age | 14.80 (12.00), 5.33–43.67 | 16.41 (7.72), 6.00–27.25 | 16.08 | 23.00 |
IQ | 55 (12), 34–71 | 50 (15), 32–69 | 78 | 69 |
Mental Age | 6.58 (1.39), 4.00–8.67 | 6.59 (1.52), 4.00–9.33 | 10.08 | 9.75 |
Socio-Economic Status | 995 (106), 788–1138 | 985 (72), 902–1122 | 1093 | 917 |
Gender (F∶M) | 5∶4 | 6∶3 | F | F |
Hand Dominance (R∶L∶Ambi.) | (6∶3∶0) | (6∶2∶1) | R | Ambi |
WJ-R COG Factor Scores | ||||
Oral Language | 62 (13) | 68 (14) | 75 | 77 |
Long Term Retrieval | 69 (12) | 74 (11) | 80 | 80 |
Short Term Memory | 70 (11) | 68 (14) | 98 | 89 |
Processing Speed | 45 (23) | 41 (13) | 82 | 74 |
Auditory Processing | 87 (16) | 80 (18) | 98 | 93 |
Visual Processing | 69 (13) | 69 (08) | 86 | 61 |
Comprehension/Knowledge | 61 (13) | 60 (14) | 74 | 82 |
Nonverbal Reasoning | 67 (14) | 66 (10) | 71 | 82 |
Note: Mean (standard deviation) and range are reported for chronological age, IQ, and Socio-Economic Status. Chronological age and mental age are in years. Mean (standard deviation) are provided for WJ-R COG Factor Scores. Standard scores are represented. Standard scores have a mean of 100 and a standard deviation of 15. Scores below 80 are impaired compared to typically developing chronological age matched controls.
While the initial analysis showed a marginal difference between groups on the spatial construction task [F (2, 21) = 4.724, p = 0.01], follow-up analyses showed that both WBS groups performed similarly to one another [t(14) = 1.160, p>0.1]. Group 1 patients performed similar to the level of MA-matched controls once the alpha level was adjusted to p<.01 [t(14) = −1.800, p = .04], whereas Group 2 performed significantly below MA controls [t(14) = −3.552, p<0.01]. Drawings showed qualitatively similar spatial construction deficits across WBS groups, including a local bias and spatial integration impairments (Figure 5).
Analysis of emotion recognition abilities revealed no significant difference across WBS groups and MA-matched controls, but comparison of WBS groups and CA-matched controls was significant [F (2, 21) = 6.660, p<0.01]. Both Group 1 [t(14) = −2.979, p<0.01] and Group 2 [t = −3.468, p<0.01] performed significantly below CA-matched controls on the emotion recognition task (Figure 2B).
For the picture sequencing task, comparison of WBS patients and MA-matched controls on the mechanical (control) aspect showed no difference between the three groups [F (2, 21) = 2.57, p = 0.05]. Group 1 performed significantly below CA controls [t(14) = −2.878 p<0.01], as did Group 2 patients [t(14) = −3.178 p<0.01]. For false belief stories, WBS patients and MA-matched controls performed similarly in their ability to sequence false belief stories, but both WBS patient groups performed significantly below the level of CA-matched controls [Group 1, t(14) = −3.527 p<0.01; Group 2, t(14) = −3.511 p<0.01].
For The Shape School Test, analyses indicated no significant difference across WBS and MA-control groups for the control or the inhibition tasks (Figure 4). As this test was originally designed for preschool children, it was assumed that TD adults would be at ceiling on this task and thus, that WBS patient groups would be well below CA expectations on this task.
Cognitive differences between WBS groups
Despite similarities in cognitive functioning, there were also cognitive differences between the WBS patient groups (Figures 2C, 3, 4). On the picture sequencing task, there was a significant difference between WBS patients and MA-matched controls on sequencing intention stories [F (2, 21) = 3.394, p<0.05]. Both Group 1 [t(14) = −2.202 p = 0.02] and the MA control [t(14) = −1.882 p<0.05] groups marginally outperformed Group 2 in sequencing intention stories (Figure 3), but this was not significant at the adjusted alpha level of p<0.01. There was no difference between Group 1 and MA controls. Similarly, there was a significant difference between the patient groups and CA-matched controls on sequencing intention stories [F (2, 21) = 7.924, p<0.01] with the CA control group outperforming Group 2 [t(14) = −4.112, p<0.01] but not Group 1.
There was a significant difference across WBS patient groups and MA-matched controls for the flexibility task on The Shape School Test [F (2, 21) = 5.003 p = 0.01]. Group 1 marginally outperformed Group 2 [t(14) = 2.239 p = 0.02] and controls significantly outperformed Group 2 [t(14) = −3.202, p<0.01] (Figure 4). There was no significant difference between Group 1 and MA controls.
On the standardized measure of spatial perception (Test 19 Spatial Relations, WJ-R COG), Group 1 showed marginally greater spatial perceptual skills than Group 2[t(16) = 2.650, p = 0.01]. All WBS patients performed well below the level of normal controls (control mean±SD = 100±15) (Figure 2C).
Neuropsychological profile of atypical deletion patients
The neuropsychological profiles of atypical patients WBS023I and WBS425 were explored using the above tests and some additional tests of spatial and executive functioning (Tables 2; Figures 2, 3, and 4; Methods S1). General IQs were slightly higher than the average of both WBS patient groups, but still fell within the classification of an intellectual disability. Both patients displayed relatively high scores on auditory processing and short-term memory, within the low average to average range and consistent with the typical WBS cognitive profile (Table 2). WBS023I displayed relative impairments in oral language, comprehension/knowledge and nonverbal reasoning on the WJ-R COG, and borderline impaired to low average skills on long-term retrieval and processing speed, and WBS425 displayed relative impairments in oral language, processing speed and visual processing and borderline impaired to low average skills on long-term retrieval, comprehension/knowledge and nonverbal reasoning.
Mean performance on Spatial Relations (Test 19) was at least one standard deviation below CA expectations for both patients. Further assessment of spatial abilities suggested impairments in spatial processing relative to TD controls. Both performed in the impaired range on a wide range of spatial measures, including the Benton Judgment of Line Orientation Test [48] (WBS425 <1st percentile, impaired and WBS023I 4th percentile, impaired), the spatial composite score on the DAS [49] (WBS425 <1st percentile, impaired and WBS023I 4th percentile, impaired), and individual DAS subtests - Recall of Designs (WBS425 <1st percentile, impaired and WBS023I 10th percentile, borderline impaired) and Pattern Construction (WBS425 4th percentile, impaired and WBS023I <1st percentile, impaired) (Figure 2C).
WBS023I and WBS425 showed an overall worse performance than MA-matched controls in overall emotion recognition abilities on the DANVA [t(4) = 2.739, p<0.05] and displayed difficulties with social reasoning, in particular, understanding of false belief on the picture sequencing task relative to CA controls [t(4) = −12.513, p<.001 & t(4) = −4.443, p<0.01, respectively]. WBS425 performed similarly to MA controls but WBS023I performed significantly worse [t(4) = −5.181, p<0.01]. In contrast, both patients performed similarly to CA and MA controls in sequencing intention stories. WBS023I performed similarly to CA controls in sequencing mechanical stories, while WBS425 performed more poorly [t(4) = −4.047, p = 0.1]. WBS023I performed similarly to MA controls in sequencing mechanical stories whereas WBS 425 performed significantly worse [t(4) = −3.821, p<0.01] (Figure 3).
In executive functioning abilities, both WBS023I and WBS425 performed worse than the MA-matched control group on the shape school cognitive flexibility subtest [t(4) = −2.556, p<0.05 and t(4) = −4.930, p<0.05, respectively]. In contrast, they performed similarly to MA controls on the control task and WBS023I performed marginally better [t(4) = 2.282, p<0.05] while WBS425 performed similarly to MA controls on the Inhibition task (Figure 4). Further assessment of executive functioning abilities using standardized measures from the DAS, including Matrices (a measure of nonverbal reasoning and Similarities, a measure of verbal abstract reasoning), revealed impairments for both patients. Both performed at the 1st percentile on the Matrices subtest from the DAS and were impaired on the Similarities subtest of the DAS (WBS425, 4th percentile; WBS023I, 2nd percentile). Both performed in the average range on the Face Recognition Test [48], suggesting age-appropriate face perception skills, similar to the typical WBS cognitive profile.
Impact of deficits on daily functioning
Despite a similar proportion of patients from each group with a reported diagnosis of generalized anxiety or specific phobia (K-SADS-PL), a greater proportion of Group 2 patients were reported with at least one episode of diagnosed depression (75%) compared with Group 1 (25%), but this failed to reach statistical significance. All patients with the larger deletion were described as having obsessions, compared to only half of patients with the typical deletion [F = 1.732, p<0.05].
On the Vineland-II, WBS groups displayed a similar level of adaptive functioning, both overall and across the domains of language, social and daily living skills (Table 3). In contrast, Vineland-II parent interviews indicated significantly more externalizing difficulties [F (1, 14) = 6.811, p = 0.01] and marginally more maladaptive behaviours [F (1, 14) = 3.733, p<0.05] in Group 2. Group 2 primary caregivers were more likely to endorse items such as “is stubborn”, “is obsessed with objects or activities”, “has strange repetitive habits”, “emotional difficulties”.
Table 3. Standard Scores on the Vineland-II Adaptive Behavior Questionnaire.
∼1.5/1.6 Mb Cohort | ∼1.8 Mb Cohort | |
Domain | Standard Score | Standard Score |
Communication | 51 (18) | 47 (17) |
Daily Living Skills | 57 (11) | 54 (9) |
Socialization Domain | 59 (13) | 58 (9) |
Adaptive Behavior Composite | 55 (14) | 52 (10) |
V Score | V Score | |
Internalizing | 19 (2) | 20 (3) |
Externalizing* | 15 (2) | 17 (2) |
Maladaptive Behavior Index○ | 17 (2) | 19 (2) |
Note: Standard scores have a mean of 100 and s.d. of 15. V scores have a mean of 15 and s.d. of 3.
= significant difference between groups at p<.01.
= marginal difference at p<.05.
Discussion
To provide a more comprehensive neuropsychological profile in the WBS population and identify additional neurological phenotypes, we sought to compare the genotypic variability of the WBS deletion with the detailed cognitive and behavioural capabilities of patients grouped in the “classical” range based on a positive cytogenetic test. Genetic breakpoint mapping allowed us to divide patients into two subgroups and compare their neuropsychological profiles for detailed genotype-phenotype correlations.
Only two additional genes are deleted in the ∼1.8 Mb cohort (Group 2), NCF1 and GTF2IRD2. The GTF2I family of transcription factors are thought to be important for both craniofacial and neurological development [55] and since GTF2IRD2 has a high degree of structural similarity to GTF2I [56], it may also play a role in cognition and behaviour. Its expression profile supports this prediction, as it is ubiquitously expressed in most body tissues and throughout foetal and adult brain [56]. NCF1 encodes a component of neutrophil NADPH oxidase, which when mutated causes an immunodeficiency condition with no overt neurological phenotype [57]. Thus, GTF2IRD2 is the most credible candidate for the neuropsychological differences seen in these patients.
Since both patient subgroups are haploinsufficient for the same core genes we anticipated that all would display the WBS cognitive and behavioural phenotype, but Group 2 would show greater impairments in certain aspects of neuropsychological functions due to loss of an additional transcription factor. Our battery of cognitive tasks was constructed to detect subtle differences concentrating on comparing spatial, social and executive abilities as these are subserved by those regions of the brain known to be abnormal in WBS [14], [15]. We demonstrate that patients whose deletion includes all 3 GTF2I family members have additional cognitive impairments involving spatial, social and executive functioning, which may be a consequence of haploinsufficiency for GTF2IRD2. Two atypical patients with smaller deletions, but including GTF2IRD2, also showed this distinctive neuropsychological profile, providing further evidence of the importance of this gene in this phenotype.
Brain structural and functional implications
The additional cognitive impairments observed in Group 2 patients may be manifestations of additional neuropathology within the parietal, frontal or cerebellar regions of the brain [9]–[13]. Injury to the dorsolateral prefrontal cortex is associated with deficits in both Theory of Mind and cognitive flexibility [58]–[61], so development of this brain region may be more impaired in larger deletion patients. Indeed, GTF2IRD2 may play a role in the formation of this region during brain development, since in silico profiling highlighted expression in the prefrontal cortex in both fetal and adult brains.
How does impaired executive functioning affect behaviour and psychological functioning?
The general life history reports illustrate that cognitive flexibility impairments have a significant impact upon the daily lives and psychological well-being of patients with WBS, and are greater for those with the larger deletion. The latter were reported with more mood problems such as depression and, in particular, greater externalizing problems, including obsessions and maladaptive behaviours; these psychological characteristics are likely to reflect daily manifestations of executive dysfunction such as poor social reasoning and poor cognitive flexibility. The fact that these difficulties may be a secondary consequence of social or cognitive impairments warrants future research.
Conclusion
This study identifies cognitive, behavioural and psychological differences between WBS patients with the typical ∼1.5/1.6 Mb size deletion and those with a larger ∼1.8 Mb deletion, and provides the first evidence for a role for GTF2IRD2 in cognition, behaviour and brain development. The GTF2I transcription factors appear to be key to the WBS neurological phenotype but their comp lex and pleiotropic properties means that a clear role for them in human brain development has yet to emerge. Attempts have been made to identify target genes for other family members, namely GTF2IRD1 and GTF2I/TFII-I in the developing rodent brain [62]–[63]. Although no in vivo neuronal targets of GTF2IRD1 were detected [62], possible GTF2I targets included genes involved in axon guidance, neurodevelopmental disorders, calcium signaling, cell cycle, and immune response [63]. This supports the hypothesis that these transcription factors are complex proteins, which may be critical regulators of other transcription factors, histone deacetylases, and signaling molecules. GTF2IRD2 may also have a putative role in some of these pathways, however, target genes that are specific to GTF2IRD2 may be the ones that cause executive dysfunction.
Of course the mechanism(s) involved in producing these neurological phenotypes may be more complex than just haploinsufficiency. The majority of the literature discounts parent-of-origin effects in WBS [64], but there are reports of parent-of-origin effects on microcephaly and growth [65], as well as on GTF2I expression [66], both of which may be related to partial imprinting. More evidence and research is required into epigenetic control mechanisms in WBS, and future studies should consider not only which genes are deleted, but which parent the intact chromosome is from and what variants are present in these genes.
Findings from this study and others with partial deletion patients [21]–[25] suggest an additive effect in deleting all three GTF2I family genes, leading to more severe neurological phenotypes. Our findings that all WBS patients demonstrated impairments in spatial, executive and social functioning support brain imaging and post-mortem studies which demonstrate abnormalities in the areas of the brain that subserve these functions. Further degrees of deficit in cognitive flexibility, social reasoning and spatial manipulation in ∼1.8 Mb deletion patients are consistent with prefrontal, parietal and perhaps cerebellar deficits, and it is possible that the extent of neurological abnormality may be greater in these patients. Twin studies suggest that executive functioning skills are highly heritable psychological traits [67], and we show that GTF2IRD2 may be one of those genes that contribute to executive function. This paves the way for further investigations into the biological underpinnings of executive functions and the mechanisms involved.
Our findings also show the importance of genetics-led investigations into screening for more subtle underlying phenotypes. We show that cognitive, behavioural, psychological and most likely neurological phenotypes vary amongst patients with ‘classical’ WBS, depending on the size of their genetic deletion and propose that detailed genotyping of patients is essential prior to testing to avoid heterogeneous results. Such studies will advance our understanding of the nature and extent of the neurological phenotypes associated with WBS as well as the role of the genes involved. They may also aid the development of therapies to enhance the management of WBS neuropsychological deficits, reduce their functional impact and aid independence and emotional wellbeing.
Supporting Information
Acknowledgments
We thank the participants and their families for their ongoing support of our research. Thank you also to Dr Helen Dodd for her assistance with clinical interviews.
Funding Statement
This work was supported by an APEX Australia research grant [#901029 to MP]; a Macquarie University Research Development Scheme [#627011 to MP]; a Welcome Trust Grant [#061183 to MT] and a Medical Research Council grant [#86335 to MT]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1. Bellugi U, Lichtenberger L, Jones W, Lai Z, St. George M (2000) The neurocognitive profile of Williams syndrome: A complex pattern of strengths and weaknesses. J Cognitive Neurosci 12: 7–29. [DOI] [PubMed] [Google Scholar]
- 2. Mervis CB, Robinson BF, Bertrand J, Morris CA, Klein-Tasman BP, et al. (2000) The Williams syndrome cognitive profile. Brain Cognition 44: 604–628. [DOI] [PubMed] [Google Scholar]
- 3. Pober BR, Dykens EM (1996) Williams Syndrome: an overview of medical, cognitive, and behavioral features. Child Adolesc Psychiatr Clin N Am 5: 929–43. [Google Scholar]
- 4. Williams J, Barrat-Boyes B, Lowe J (1961) Supravalvar aortic stenosis. Circulation 24: 1311–1381. [DOI] [PubMed] [Google Scholar]
- 5. Tager-Flusberg H, Sullivan K (2000) A componential view of theory of mind: Evidence from Williams syndrome. Cognition 76: 59–89. [DOI] [PubMed] [Google Scholar]
- 6. Porter MA, Coltheart M, Langdon R (2008) Theory of Mind in Williams Syndrome Assessed Using a Nonverbal Task. J Autism Dev Disord 38: 806–814. [DOI] [PubMed] [Google Scholar]
- 7. Porter MA, Coltheart M, Langdon R (2007) The neuropsychological basis of hypersociability in Williams and Down syndrome. Neuropsychologia 45: 2839–2849. [DOI] [PubMed] [Google Scholar]
- 8. Dodd HF, Porter MA (2009) Psychopathology in Williams Syndrome: The effect of individual differences across the life span. J Ment Health Res Intellect Disabil 2: 89–109. [Google Scholar]
- 9. Rae C, Karmiloff-Smith A, Lee MA, Dixon RM, Grant J, et al. (1998) Brain biochemistry in Williams syndrome: Evidence for a role of the cerebellum in cognition. Neurology 51: 33–40. [DOI] [PubMed] [Google Scholar]
- 10. Gothelf D, Searcy YM, Reilly J, Lai PT, Lanre-Amos T, et al. (2008) Association between cerebral shape and social use of language in Williams syndrome. Am J Med Genet 2008 146A: 2753–2761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Reiss AL, Eckert MA, Rose FE, Karchemskiy A, Kesler S, et al. (2004) An experiment of nature: brain anatomy parallels behavior in Williams syndrome. J Neurosci 24: 5009–5015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Eckert MA, Galaburda A, Karchemskiy A, Liang A, Thompson P, et al. (2006) Anomalous sylvian fissure morphology in Williams Syndrome. NeuroImage 33: 39–45. [DOI] [PubMed] [Google Scholar]
- 13. Marenco S, Siuta M, Kippenhan S, Grodowsky S, Chang W, et al. (2007) Genetic contributions to white matter architecture revealed by diffusion tensor imaging in Williams Syndrome. Proc Natl Acad Sci USA 104: 15117–15122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Meyer-Lindenberg A, Mervis C, Berman K (2006) Neural mechanisms in Williams syndrome: A unique window to genetic influences on cognition and behavior. Nature Rev Neurosci 7: 380–393. [DOI] [PubMed] [Google Scholar]
- 15. Jackowski AP, Rando K, de Araujo CM, Del Cole CG, Silva I, et al. (2009) Brain abnormalities in Williams syndrome: A review of structural and functional magnetic resonance imaging findings. Eur J Paediatr Neurol 13: 305–316. [DOI] [PubMed] [Google Scholar]
- 16. Stromme P, Bjornstad PG, Ramstad K (2002) Prevalence estimation of Williams syndrome. J Child Neurol 17: 269–271. [DOI] [PubMed] [Google Scholar]
- 17. Wang MS, Schinzel A, Kotzot D, Balmer D, Casey R, et al. (1999) Molecular and clinical correlation study of Williams-Beuren syndrome: No evidence of molecular factors in the deletion region or imprinting affecting clinical outcome. Am J Med Genet 86: 34–43. [PubMed] [Google Scholar]
- 18. Metcalfe K, Simeonov E, Beckett W, Donnai D, Tassabehji M (2005) Autosomal dominant inheritance of Williams-Beuren syndrome in a father and son with haploinsufficiency for FKBP6. Clin Dysmorphol 14: 61–65. [PubMed] [Google Scholar]
- 19. Pérez Jurado AL (2003) Williams-Beuren syndrome: a model of recurrent genomic mutation. Horm Res 59: 106–13. [DOI] [PubMed] [Google Scholar]
- 20. Heller R, Rauch A, Lüttgen S, Schröder B, Winterpacht A (2003) Partial deletion of the critical 1.5 Mb interval in Williams-Beuren syndrome. J Med Genet 40: 99–104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Morris CA, Mervis CB, Hobart HH, Gregg RG, Bertrand J, et al. (2003) GTF2I hemizygosity implicated in mental retardation in Williams syndrome: Genotype-phenotype analysis of five families with deletions in the Williams syndrome region. Am J Med Genet 123: 45–59. [DOI] [PubMed] [Google Scholar]
- 22. Tassabehji M (2003) Williams-Beuren syndrome: A challenge for genotype-phenotype correlations. Hum Molec Genet 12: R229–R237. [DOI] [PubMed] [Google Scholar]
- 23. Tassabehji M, Metcalfe K, Karmiloff-Smith A, Carette MJ, Grant J, et al. (1999) Williams syndrome: Use of chromosomal microdeletions as a tool to dissect cognitive and physical phenotypes. Am J Hum Genet 64: 118–125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Ferrero GB, Howald C, Micale L, Biamino E, Augello B, et al. (2010) An atypical 7q11.23 deletion in a normal IQ Williams-Beuren syndrome patient. Eur J Hum Genet 18: 33–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Antonell A, Del Campo M, Magano LF, Kaufmann L, de la Iglesia JM, et al. (2010) Partial 7q11.23 deletions further implicate GTF2I and GTF2IRD1 as the main genes responsible for the Williams-Beuren syndrome neurocognitive profile. J Med Genet 47: 312–20. [DOI] [PubMed] [Google Scholar]
- 26. Meng Y, Zhang Y, Tregoubov V, Janus C, Cruz L, et al. (2002) Abnormal spine morphology and enhanced LTP in LIMK-1 knockout mice. Neuron 35: 121–133. [DOI] [PubMed] [Google Scholar]
- 27. Dortland B, Miedema M, van Alphen A, Kistler WM, Jaegle M, et al. (2002) Targeted mutation of Cyln2 in the Williams syndrome critical region links CLIP-115 haploinsufficiency to neurodevelopmental abnormalities in mice. Nat Genet 32: 116–127. [DOI] [PubMed] [Google Scholar]
- 28. Roy AL (2006) Transcription factor TFII-I conducts a cytoplasmic orchestra. ACS Chem Biol 1: 619–22. [DOI] [PubMed] [Google Scholar]
- 29. Tassabehji M, Hammond P, Karmiloff-Smith A, Thompson P, Thorgeirsson SS, et al. (2005) GTF2IRD1 in craniofacial development of humans and mice. Science 310: 1184–1187. [DOI] [PubMed] [Google Scholar]
- 30. Young EJ, Lipina T, Tam E, Mandel A, Clapcote SJ, et al. (2008) Reduced fear and aggression and altered serotonin metabolism in Gtf2ird1-targeted mice. Genes Brain Behav 7: 224–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Jarrold C, Baddeley AD, Hewes AK (1998) Verbal and non-verbal abilities in the Williams syndrome phenotype: Evidence for diverging developmental trajectories. J Child Psychol Psychiatry 39: 511–523. [PubMed] [Google Scholar]
- 32. Nakamura M, Hara K, Watamaki T, Nishimurra B, Kumagai T, et al. (1999) Difficulty in writing Japanese semantic characters in a 9-year-old boy with Williams syndrome. J Intellectual Disabil Res 43: 562–567. [DOI] [PubMed] [Google Scholar]
- 33. Pezzini G, Vicari S, Voltera V, Milani L, Ossella MT (1999) Children with Williams syndrome: Is there a single neuropsychological profile? Dev Neuropsychol 15: 141–155. [Google Scholar]
- 34. Thal D, Bates E, Bellugi U (1989) Language and cognition in two children with Williams syndrome. J Speech Hear Res 32: 489–500. [DOI] [PubMed] [Google Scholar]
- 35. Porter MA, Coltheart M (2005) Cognitive heterogeneity in Williams syndrome. Dev Neuropsychol 27: 275–306. [DOI] [PubMed] [Google Scholar]
- 36. Porter MA, Coltheart M (2006) Global and local processing in Williams, autistic and Down syndrome: Perception, attention and construction. Dev Neuropsychol 30: 771–789. [DOI] [PubMed] [Google Scholar]
- 37. Porter MA, Dodd H, Cairns D (2008) Psychopathological and behavior impairments in Williams-Beuren syndrome: The influence of gender, chronological age and cognition. Child Neuropsychol 15: 359–374. [DOI] [PubMed] [Google Scholar]
- 38. Borg I, Delhanty JD, Baraitserer M (1995) Detection of hemizygosity at the elastin locus by FISH analysis as a diagnostic test in both classical and atypical cases of Williams syndrome. J Med Genet 32: 692–696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Nickerson E, Greenberg F, Keating MT, McCaskill C, Shaffer LG (1995) Deletions of the elastin gene at 7q11.23 occur in approximately 90% of patients with Williams syndrome. Am J Hum Genet 56: 1156–1161. [PMC free article] [PubMed] [Google Scholar]
- 40. Sagoo GS, Butterworth AS, Sanderson S, Shaw-Smith C, Higgins JP, et al. (2009) Array CGH in patients with learning disability (mental retardation) and congenital anomalies: updated systematic review and meta-analysis of 19 studies and 13,926 subjects. Genet Med 11: 139–46. [DOI] [PubMed] [Google Scholar]
- 41.Woodcock RW, Johnson MB, editors. (1989) Woodcock-Johnson psycho-educational battery - revised: Itasca, IL: Riverside Publishing.
- 42. Nowicki S, Duke MP (1994) Individual differences in the nonverbal communication of affect: the diagnostic analysis of nonverbal accuracy scale. J Nonverbal Behav 18: 9–35. [Google Scholar]
- 43. Espy KA (1997) The shape school: Assessing executive function in preschool children. Dev Neuropsychol 13: 495–499. [Google Scholar]
- 44. Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, et al. (1997) Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (k-sads-pl): Initial reliability and validity data. J Am Acad Child Adolesc Psychiatry 36: 980–988. [DOI] [PubMed] [Google Scholar]
- 45. Dodd HF, Porter MA, Peters GL, Rapee RM (2010) Social approach in preschool children with Williams syndrome. J Intellect Disabil Res 54 (3) 194–203. [DOI] [PubMed] [Google Scholar]
- 46.Sparrow S, Cicchetti D, Balla D (2005) Vineland Adaptive Behavior Scales. 2nd edition. Minneapolis: Pearson Assessment.
- 47.Benton AL, Hamsher K, Varney NR, Spreen O (1983) Benton judgment of line orientation test. New York: Oxford University Press.
- 48.Benton AL, Hamsher K, Varney NR, Spreen O (1983) Benton test of facial recognition. New York: Oxford University Press.
- 49.Elliot CD (1990) Differential Ability Scales. New York: The Psychological Corporation.
- 50. Crawford JR, Garthwaite PH (2005) Testing for suspected impairments and dissociations in single-case studies in neuropsychology: Evaluation of alternatives using Monte Carlo simulations and revised tests for dissociations. Neuropsychology 19: 318–331. [DOI] [PubMed] [Google Scholar]
- 51. Osborne LR, Li M, Pober B, Chitayat D, Bodurtha J, et al. (2001) A 1.5 million-base pair inversion polymorphism in families with Williams-Beuren syndrome. Nat Genet 29 (3) 321–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Jones AR, Overly CC, Sunkin SM (2009) The Allen Brain Atlas: 5 years and beyond. Nature Rev Neurosci 10: 821–828. [DOI] [PubMed] [Google Scholar]
- 53. Barrett T, Troup DB, Wilhite SE, Ledoux P, Evangelista C, et al. (2011) NCBI GEO: archive for functional genomics data sets—10 years on Nucleic Acids Res. 39 (Database issue) D1005–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Su AI, Wiltshire T, Batalov S, Lapp H, Ching KA, et al. (2004) A gene atlas of the mouse and human protein-encoding transcriptomes. Proc Natl Acad Sci USA 101: 6062–6067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Enkhmandakh B, Makeyev AV, Erdenechimeg L, Ruddle FH, Chimge NO, et al. (2009) Essential functions of the Williams-Beuren syndrome-associated TFII-I genes in embryonic development. Proc Natl Acad Sci USA 106: 181–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Tipney HJ, Hinsley TA, Brass A, Metcalfe K, Donnai D, et al. (2004) Isolation and characterisation of GTF2IRD2, a novel fusion gene and member of the TFII-I family of transcription factors, deleted in Williams-Beuren syndrome. Eur J Hum Genet 12: 551–60. [DOI] [PubMed] [Google Scholar]
- 57. van de Vosse E, van Wengen A, van Geelen JA, de Boer M, Roos D, et al. (2009) A novel mutation in NCF1 in an adult CGD patient with a liver abscess as first presentation. J Hum Genet 54: 313–316. [DOI] [PubMed] [Google Scholar]
- 58. Kalbe E, Schlegel M, Sack A, Nowak D, Dafotakis M, et al. (2010) Dissociating cognitive from affective theory of mind: a TMS study,. Cortex 46: 769–780. [DOI] [PubMed] [Google Scholar]
- 59. Yoshida W, Seymour B, Friston K, Dolan R (2010) Neural mechanisms of belief inference during cooperative games. J Neurosci 30: 10744–10751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Rubia K, Cubillo A, Smith A, Woolley J, Heyman I, et al. (2010) Disorder-specific dysfunction in right inferior prefrontal cortex during two inhibition tasks in boys with attention-deficit hyperactivity disorder compared to boys with obsessive-compulsive disorder. Hum Brain Mapp 31: 287–299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Ravizza SM, Carter CS (2008) Shifting set about task switching: behavioral and neural evidence for distinct forms of cognitive flexibility,. Neuropsychologia 46: 2924–2935. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. O'Leary J, Osborne LR (2011) Global analysis of gene expression in the developing brain of Gtf2ird1 knockout mice. PLoS One 2011 6 (8) e23868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Chimge N, Makeyev AV, Ruddle FH, Bayarsaihan D (2008) Identification of the TFII-I family target genes in the vertebrate genome. PNAS 105 (26) 9006–9010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Dutra RL, de Campos Pieri P, Teixeira ACD, Sayuri Honjo R, Bertola I, et al. (2011) Detection of deletions at 7q11.23 in Williams-Beuren syndrome by polymorphic markers. Clinics 66 (6) 959–964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Pérez Jurado LA, Peoples R, Kaplan P, Hamel BC, Francke U (1996) Molecular definition of the chromosome 7 deletion in Williams syndrome and parent-of-origin effects on growth. Am J Hum Genet 59: 781–792. [PMC free article] [PubMed] [Google Scholar]
- 66. Collette JC, Chen XN, Mills DL, Galaburda AM, Reiss AL, et al. (2009) William's syndrome: gene expression is related to parental origin and regional coordinate control. J Hum Genet 54 (4) 193–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Friedman NP, Miyake A, Young SE, DeFries JC, Corley RP, et al. (2008) “Individual differences in executive functions are almost entirely genetic in origin”. Journal of Experimental Psychology: General 137: 201–225. [DOI] [PMC free article] [PubMed] [Google Scholar]
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