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. 2019 Sep 30;7(11):e972. doi: 10.1002/mgg3.972

New insights into genetic variant spectrum and genotype–phenotype correlations of Rubinstein‐Taybi syndrome in 39 CREBBP‐positive patients

Virginia Pérez‐Grijalba 1, Alberto García‐Oguiza 2, María López 1, Judith Armstrong 3, Sixto García‐Miñaur 4, Jose María Mesa‐Latorre 5, Mar O'Callaghan 3, Mercé Pineda Marfa 3, Maria Antonia Ramos‐Arroyo 6, Fernando Santos‐Simarro 4, Verónica Seidel 7, Elena Domínguez‐Garrido 1,
PMCID: PMC6825870  PMID: 31566936

Abstract

Background

Rubinstein‐Taybi syndrome (RSTS) is a rare congenital disorder characterized by broad thumbs and halluces, intellectual disability, distinctive facial features, and growth retardation. Clinical manifestations of RSTS are varied and overlap with other syndromes’ phenotype, which makes clinical diagnosis challenging. CREBBP is the major causative gene (55%–60% of the cases), whereas pathogenic variants found in EP300 represent the molecular cause in 8% of RSTS patients. A wide range of CREBBP pathogenic variants have been reported so far, including point mutations (30%–50%) and large deletions (10%).

Methods

The aim of this study was to characterize the CREBBP genetic variant spectrum in 39 RSTS patients using Multiplex Ligation‐dependent Probe Amplification and DNA sequencing techniques (Sanger and Trio‐based whole‐exome sequencing).

Results

We identified 15 intragenic deletions/duplications, ranging from one exon to the entire gene. As a whole, 25 de novo point variants were detected: 4 missense, 12 nonsense, 5 frameshift, and 4 splicing pathogenic variants. Three of them were classified as of uncertain significance and one of the patients carried two different variants.

Conclusion

Seventeen of the 40 genetic variants detected were reported for the first time in this work contributing, thus, to expand the molecular knowledge of this complex disorder.

Keywords: CREBBP, epigenetics, genotype–phenotype correlation, Rubinstein‐Taybi syndrome

1. INTRODUCTION

Rubinstein‐Taybi syndrome (RSTS, OMIM #180849, #613684) is a rare genetic disorder characterized by postnatal growth retardation, moderate to severe intellectual disability (ID), and a wide range of typical dysmorphic features. Broad thumbs and halluces are a distinctive feature of the syndrome. Facial dysmorphology includes downslanting palpebral fissures, prominent beaked nose, and columella below the alae nasi Hennekam, 2006. The RSTS pattern of transmission is autosomal dominant with an estimated prevalence of 1:125.000 live births (Hennekam, 2006; Van Belzen, Bartsch, Lacombe, Peters, & Hennekam, 2011). Variants in two ubiquitously expressed and highly homologous genes, CREBBP (16p13, OMIM#600140), and EP300 (22q13, OMIM #402700), underlie RSTS (Korzus, 2017). CREBBP, a 150kb gene with 31 exons, encodes the 2442 amino acid CREB‐binding protein (CBP), whereas EP300 (also consisting of 31 exons) encodes the 2414‐amino‐acid E1A‐associated protein, p300. Both proteins act as transcriptional coactivators mediating the interaction between the RNA polymerase II complex and DNA‐binding transcription factors. Additionally, CBP and p300 act as epigenetic factors modifying chromatin structure and regulating gene expression through their histone acetyltransferase (HAT) activity (Rusconi et al., 2015; Spena, Milani, et al., 2015).

Up to 60% of RSTS cases harbor de novo variants in CREBBP, which is the foremost gene associated with the syndrome (Spena, Gervasini, & Milani, 2015). To date, 235 unique causative variants have been described in CREBBP (http://www.LOVD.nl/CREBBP), whereas only 77 have been reported for EP300 (http://www.LOVD.nl/EP300; Coupry et al., 2002; Rusconi et al., 2015; Spena, Gervasini, et al., 2015). Genetic modification of EP300 leads to milder RSTS phenotypes, being the majotity of the variants found frameshift type. Frameshift, nonsense, missense, and splicing variants, in order of prevalence and spread throughout the CREBBP gene, represent the majority (30%–50%) of genetic variants found in RSTS. In about 10% of the cases size‐varying deletions (intragenic, whole gene or expanding to adjacent regions) were disease causative (Coupry et al., 2002; Roelfsema et al., 2005; Stef et al., 2007), followed by inversions and translocations, representing the well‐documented allelic heterogeneity of the syndrome. However, despite the considerable knowledge gained since first description of RSTS, the molecular cause remains unknown in about 25%–30% of the probands with clinical suspicion of RSTS.

Furthermore, clinical diagnosis of RSTS is challenging due to the wide range of clinical presentations and phenotypic overlap with other syndromes. Some of these disorders are likewise associated with the epigenetic regulation machinery, such as Bohring‐Opitz, Wiedemann‐Steiner, and Kabuki syndromes (Bjornsson, 2015; Negri et al., 2019), or with other rare conditions as Floating‐Harbor, in which the underlying genes encode proteins that directly interact with CBP and/or p300 (Spena, Gervasini, et al., 2015). Additionally, no clear genotype–phenotype correlation has been established in RSTS (Bentivegna et al., 2006; Coupry et al., 2002; Rusconi et al., 2015; Schorry et al., 2008; Spena, Milani, et al., 2015), although previous studies have reported an association between size (large deletions involving other genes) and location (particularly point mutations within HAT domain) of CREBBP alterations with disease severity (Bartsch et al., 2006; Kalkhoven et al., 2003).

Here, we report the genetic variant spectrum found in a population of 39 clinically diagnosed RSTS patients, including 17 novel variants reported in this work for the first time. This study was aimed to broaden the molecular knowledge about the major RSTS gene, trying to identify a possible association between the pathogenic variants found and the clinical manifestations of the syndrome.

2. MATERIAL AND METHODS

2.1. Subjects

A cohort of 39 CREBBP‐positive patients clinically diagnosed with RSTS was evaluated in this study. All patients’ parents gave written informed consent for them to be included in the study and for their biological material to be sampled. Studies and procedures were in accordance with the ethical standards of the host institution and performed according to the Declaration of Helsinki protocol. RSTS clinical suspicion was referred by the corresponding patient's medical center, and phenotype description was harmonized when possible by the completion of a comprehensive questionnaire leaded by a clinical specialist. The presence of specific RSTS manifestations and medical complications were specifically confirmed or excluded by means of this structured questionnaire.

2.2. Molecular diagnostic flowchart

All patients were subjected to a sequential molecular approach following the diagnostic algorithm proposed by Hennekam (2006). First, detection of large deletions or insertions in CREBBP was performed by Multiplex Ligation‐dependent Probe Amplification (MLPA). All patients yielding negative MLPA results were subjected to Next Generation Sequencing (NGS) of CREBBP. Point variants detected with NGS technologies were further confirmed by direct sequencing, and their potential pathogenicity was elucidated using in silico prediction tools to establish them as RSTS disease‐causing variants.

2.2.1. DNA extraction

Blood samples from patients and their parents were collected using vacuum‐EDTA tubes. DNA was isolated from peripheral blood using QIAamp DNA Blood Mini Kit (Qiagen) following the manufacturer's protocol. Quantification of DNA concentration and purity assessment was carried out by spectrophotometric methods.

2.2.2. MLPA

Presence of intragenic deletions or duplications in CREBBP was evaluated by MLPA, using the commercially available SALSA MLPA Kit P313 (MRC Holland) according to the manufacturer's standard protocol and reagents. The amplification products were separated by capillary electrophoresis using an ABI3130 Genetic Analyser (Applied Biosystems) and data were deeply analyzed with Coffalyser software (MRC Holland).

2.2.3. NGS

Next Generation Sequencing methods were applied when looking for point mutations in those subjects without big CREBBP deletions/insertions. Standard procedures following manufacturer's instructions were applied. As a whole, library preparation was performed using Illumina kits, and sequencing was carried out in MiSeq Illumina platform, assuring quality criteria of 100% representativity in all the regions of interest (ROI), with a minimum depth of 100X reads. Bioinformatics analyses were performed for variant calling and interpretation enriching with fundamental databases as GnomAD, ExAC, and ClinVar.

2.2.4. Sanger sequencing

Polymerase chain reaction (PCR) amplification was performed according to the standard procedures, followed by direct sequencing of the coding sequence and the corresponding exon‐intron boundaries of CREBBP. Primers used for PCR amplification of CREBBP are available upon request. Sequencing was performed using Big Dye Termination cycle sequencing kit 3.1 (Applied Biosystems) following the manufacturer's standard protocol and sequenced on an ABI 3130 genetic analyzer. ABI SEQSCAPE software version 2.5 (Applied Biosystems) was used to perform sequence analysis.

2.2.5. In silico analyses

Variant significance was classified following ACMG criteria (Richards et al., 2015), and their deleterious potential was further evaluated when possible using prediction tools as Provean, SNPs&GO, PolyPhen 2, SIFT, Mutation Taster, Human Splicing Finder, and MutPred. Sequence variants were described according to HGSV nomenclature guidelines (Den Dunnen et al., 2016). All variants were described in relation to the reference sequence NM_004380.2 (NP_004371.2 for protein level description). Databases such as public HGMD, Decipher, and LOVD, as well as the literature, were explored to look for previous reports on the variants found in this study.

3. RESULTS

3.1. Clinical description

An overview and summary of the main clinical findings of the 39 RSTS patients are provided in Table S1. The group consisted of 21 female and 18 male patients, aged 2 months to 42 years at the time samples were received in our laboratory. All patients presented with facial dysmorphic features characteristic of RSTS, as well as broad thumbs and/or halluces. Only four probands did not exhibit angulated thumbs. Other typical RSTS gestalt displayed by our patients included prominent forehead, grimacing smile and low anterior hairline.

Intellectual disability, ranging from mild to severe, was reported for all probands over 2 years of age except for two of them who did not show significant ID. In the vast majority of the cases (above 85%) psychomotor and language delay were reported, and growth retardation was present in 67.6% of informed patients. Gastrointestinal problems, with special prevalence of constipation, were referred in 27 of 32 reported cases and were particularly frequent in the first 2 years of age.

Common additional signs informed (over 74% frequency) were related to skin (mainly hirsutism and, to lesser extent, keloids), tooth, and eye problems. Major organ malformations affected heart (15 of 32) and limbs (21 of 32 cases with information). Cryptorchidism was referred in 13 males. Other common symptoms found in this population included hemangioma, nasolacrimal duct obstruction, micrognathia, and hypotonia. Additional clinical problems and/or malformations were reported in the majority of the cases (Table S1). Typical phenotypic features of our population, including patients harboring different types of variants and location, are depicted in Figure 1.

Figure 1.

Figure 1

Dysmorphic and skeletal features of Rubinstein‐Taybi syndrome patients. Patient's code (#) and CREBBP genetic variant is presented for every patient. Representative cases of every type of variant, location and deletion size are depicted for direct intra and intergroup comparison

3.2. CREBBP variation spectrum

Graphic representation of the CREBBP gene and the corresponding CBP domains is shown in Figure 2, including the whole spectrum of variants (all of them heterozygous de novo) identified in our RSTS population. Variants were depicted to illustrate type and exon location. As a whole, large intragenic deletions represented a 35% of the CREBBP genetic alterations. An intragenic duplication was present in one proband. Among the 25 pathogenic point variants detected, nonsense were the most frequent ones (30% of our population) followed by frameshift variants (12.5%), missense substitutions (10%), and splicing alterations (10%).

Figure 2.

Figure 2

Distribution of pathogenic variants detected in this population along the CREBBP gene. Variant position is referred to the exon schematic representation. Types of variants are distinguished by different symbols

Fourteen patients were found to carry large intragenic CREBBP deletions, ranging from one exon to a deletion spanning the whole gene, as summarized in Table 1. In addition, a duplication of exons 14–19 was also detected by MLPA in one individual, who also carried a second relevant variant in exon 4 of CREBBP. Neither of them was present in the parents. In silico pathogenicity prediction of the missense variant in exon 4 provided contradictory results, ranging from neutral effect (Provean, SNPs&GO) to disease causing (SIFT, Poly‐Phen, Mutation Taster). According to ACMG variant classification, it met PM2 criteria since the allele was not found in GnomAD exomes despite good coverage, and was classified as of uncertain significance.

Table 1.

Large CREBBP deletions and duplications detected by MLPA

ID Large deletion/duplication Databases (Decipher, public HGMD, LOVD) and references
#127 Ex1del HGMD (Breuning et al., 1993; Udaka et al., 2005)
#76 Ex2del HGMD (Breuning et al., 1993; López et al., 2018; Mogensen et al., 2011; Negri et al., 2019)
#196 Ex1‐2del HGMD (Breuning et al., 1993)
#256 Ex1‐31del HGMD (Bentivegna et al., 2006; Mogensen et al., 2011)
#230 Ex3‐31del This study
#97 Ex4‐16del HGMD (Bentivegna et al., 2006)
#73 Ex6‐31del HGMD (Rusconi et al., 2015)
#16 Ex17‐31del HGMD (López et al., 2018)
#58 Ex21del This study
#7 Ex22‐23del HGMD (Bentivegna et al., 2006)
#4 Ex24‐31del This study
#157 Ex26‐30del This study
#163 Ex29‐30del This study
#160 Ex31del HGMD (Bentivegna et al., 2006)
#118 Ex14‐19Dup This study

Note: Exons deleted or duplicated are specified for each patient, as well as previous description of the genetic alteration in literature and databases.

Nine of the 14 large deletions have already been reported in the literature (Table 1) related to RSTS phenotype. Deletion of CREBBP exon 2 has been previously described both at the DNA (Aradhya et al., 2012; Coupry et al., 2004) and the RNA level (Petrij et al., 2000).

Point variants were found throughout the CREBBP gene, from exon 4 to 31 (Table 2). According to ACMG pathogenicity classification, all the variants were predicted to be pathogenic or likely pathogenic, except for one missense variant and one splicing alteration (both in exon 22) and the already mentioned missense substitution in exon 4, which were classified as of uncertain significance. Nevertheless, all of them were predicted to be damaging in most of the other prediction tools used. Single‐base pair insertions were found in patients #25, #22, and #55 leading to a frameshift and premature stop codon 45, 101 and 137 amino acids further on, respectively. Patient #1 presented a single‐nucleotide deletion introducing a stop codon four amino acids further on in exon 14. We found the pathogenic splicing variant in exon 18 of proband #142 to be in a mosaic condition (37%) in blood and corroborated in buccal swab with 49% of mutated cells. A deletion of exons 17–21 was observed by the RNA study (data not shown).

Table 2.

Point pathogenic variants

ID Exon Coding sequence (GRCh38) Protein‐based sequence (GRCh38) Variant type ACMG significance Human splicing finder Provean Mutation taster SIFT SNP&GO
#118 4 c.989C>A p.(T330K) Missense Uncertain significance (PM2) Dsp N D D N
#221 4 c.992C>G p.(S331*) Nonsense Likely pathogenic (PVS1 PM2) Dsp N D n.a. n.a.
#37 5 c.1237C>T p.(R413*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3 PP5) Dsp D D n.a. n.a.
#172 5 c.1237C>T p.(R413*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3 PP5) Dsp D D n.a. n.a.
#28 5 c.1270C>T p.(R424*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3 PP5) Dsp D D n.a. n.a.
#13 5 c.1318C>T p.(R440*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3 PP5) Dsp D D n.a. n.a.
#64 6 c.1447C>T p.(R483*) Nonsense Pathogenic (PVS1, PM2, PP3, PP5) Dsp D D n.a. n.a.
#67 9 c.1941+1_1941+5del p.? Splicing Likely pathogenic (PVS1 PM2) Psp N.A. D n.a. n.a.
#25 10 c.2041_2042insC p.(N681Tfs*45) Frameshift Pathogenic (PVS1 PM2 PP3) Dsp N D D n.a.
#22 12 c.2190dup p.(N731Efs*101) Frameshift Likely pathogenic (PVS1 PM2 BP4) Dsp D D D n.a.
#1 14 c.2621delC p.(P874Hfs*4) Frameshift Likely pathogenic (PVS1 PM2) Dsp D D D n.a.
#70 13 c.2461C>T p.(Q821*) Nonsense Pathogenic (PVS1 PM2 PP3) Psp D D n.a. n.a.
#43 14 c.2641C>T p.(Q881*) Nonsense Pathogenic (PVS1, PM2, PP3) Dsp D D n.a. n.a.
#55 14 c.2497dup p.(L833Pfs*137) Frameshift Pathogenic (PVS1, PM2) Dsp D D D n.a.
#19 18 c.3517C>T p.(R1173*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3) N D D n.a. n.a.
#142 18 c.3609+2_3609+5delTACA p.? Splicing Likely pathogenic (PVS1 PM2) Dsp N.A. D n.a. n.a.
#166 18 c.3609+1G>T p.? Splicing Pathogenic (PVS1 PM2 PP3) Psp N.A. D n.a. n.a.
#40 21 c.3836+5G>A p.? Splicing Uncertain significance (PM2 PP3) Psp N.A. D n.a. n.a.
#136 22 c.3847T>C p.(C1283R) Missense Uncertain significance (PM2 PP3) Dsp D D D D
#49 25 c.4244A>G p.(Q1415R) Missense Likely pathogenic (PM1, PM2, PM5 PP3) Dsp D D D D
#94 26 c.4394G>A p.(G1465E) Missense Pathogenic (PM1 PM2 PP3 PP5) Psp D D D D
#34 27 c.4492C>T p.(R1498*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3) Dsp D D n.a. n.a.
#151 27 c.4557C>G p.(Y1519*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3) Dsp D D n.a. n.a.
#103 30 c.5058G>A p.(W1686*) Nonsense Pathogenic (PVS1 PM1 PM2 PP3) Dsp D D n.a. n.a.
#226 31 c.6107_6116del p.(P2036Rfs*36) Frameshift Pathogenic (PVS1 PM2 PP5) Dsp N D T D
ID PolyPhen−2 MutPred Found in ExAC, 1000G, GenomAD Databases (Decipher, public HGMD, LOVD) and references
#118 PossD 0.372 No This study
#221 n.a. n.a. No This study
#37 n.a. n.a. No HGMD, ClinVar, LOVD (Roelfsema et al., 2005)
#172 n.a. n.a. No HGMD, ClinVar, LOVD (Roelfsema et al., 2005; Stef et al., 2007)
#28 n.a. n.a. No HGMD, ClinVar, LOVD (Sukalo et al., 2017)
#13 n.a. n.a. No LOVD
#64 n.a. n.a. 1000G ClinVar
#67 n.a. n.a. No HGMD. Same position but G>A (Schorry et al., 2008)
#25 PossD 0.270 No Same position but 15bp+2 insertion (Roelfsema et al., 2005)
#22 ProbD 0.424 No This study
#1 ProbD 0.158 No This study
#70 n.a. n.a. No HGMD, LOVD. (Thienpont et al., 2010)
#43 n.a. n.a. No This study
#55 ProbD 0.557 No This study
#19 n.a. n.a. No HGMD, LOVD (Bentivegna et al., 2006)
#142 n.a. n.a. No This study
#166 n.a. n.a. No This study
#40 n.a. n.a. No HGMD. Same position but C>G (Kalkhoven et al., 2003)
#136 ProbD 0.970 No This study
#49 ProbD 0.875 No HGMD (Thienpont et al., 2010)
#94 ProbD 0.931 No This study
#34 n.a. n.a. No Decipher, HGMD, LOVD (Roelfsema et al., 2005)
#151 n.a. n.a. No HGMD (Schorry et al., 2008)
#103 n.a. n.a. No This study
#226 B 0.202 No ClinVar

Summary of missense, nonsense, frameshift, and splicing variants detected in each patient from our cohort. Variant description, pathogenicity prediction, previous references, and database registration (public HGMD, LOVD or Decipher) are specified for each case.

Abbreviations: B, benign/tolerated; D, disease causing/damaging/deleterious; Dsp, potential alteration of splicing; N, neutral/not affecting splicing; n.a., not available; PossD, possibly damaging; ProbD, probably damaging; Psp, probable alteration of splicing.

Two patients from our cohort harbored the same pathogenic nonsense variant in exon 5 (#172 and #37), which was also previously described (Coupry et al., 2002; Roelfsema et al., 2005; Schorry et al., 2008). Twelve of the 25 point sequence alterations were novel and, to the best of our knowledge, have been neither described in the literature, nor registered in specific databases.

3.3. Genotype–phenotype correlation

The clinical description of each one of the patients included in this study was thoroughly examined to look for a potential association of genotype alterations with either severity or presence of specific clinical signs in the probands. Both variant type and location throughout the CREBBP gene, with special attention to the CBP domain affected, were specifically considered. However, no significant genotype–phenotype correlation was found. There is no clear association of the presence of large exonic deletions with more severe RSTS manifestations, since severity of clinical symptoms varied within the CREBBP‐deleted individuals. They were neither systematically more affected than those harboring point variants. We did not find more severe phenotypes related to alterations in function‐relevant CBP domains or leading to a truncated protein before HAT domain. Nonsense variant in exon 30 (further on the HAT domain) from patient #103 implies high frequency of RSTS clinical features. Moreover, proband #160, who harbors a deletion of the last exon, exhibits a severe form RSTS. Looking at the two patients with no ID reported one harbors a nonsense variant in exon 5 and the other one a frameshift variant in exon 10, both classified as pathogenic and producing a truncated protein.

Table 3 summarizes the prevalence of typical RSTS features in our population contrasted with previous phenotypic description by Schorry et al. (2008) in CREBBP‐positive patients and Hennekam et al. (1993), Dutch population and literature. Frequency of typical RSTS dysmorphic features is comparable to what was previously reported, considering the variability in the manifestations and age of diagnosis. It could be worth mentioning the higher prevalence of angulated thumbs reported in our population (88.6%) compared to the others (33%–48%). Urinary tract anomalies are slightly more frequently reported in our population, although low set ears were informed in fewer cases.

Table 3.

Rubinstein‐Taybi syndrome (RSTS) clinical features by variant type

Hennekam et al. (1993) Schorry et al. (2008) This work
Dutch population Literature All CREBBP mutations Whole population Large deletions Truncating Missense Inside HAT
N 45 571 52 39 14 21 3 5
Growth retardation 75 (<P3) 78 21 65.7 66.7 63.2 66.7 60.0
Intellectual disability 75 74 (IQ < 50) 100 84.2 100.0 80.0 100.0 80.0
Psychomotor delay n.a. n.a. n.a. 88.6 91.7 89.5 66.7 80.0
Language delay n.a. n.a. n.a. 93.8 100.0 88.2 100.0 100.0
Behavioral problems Anxiety, autism n.a. n.a. 12–33 56.0 50.0 60.0 50.0 50.0
Typical facial dysmorphims Thick arched eyebrows 74 68 n.a. 91.4 92.3 88.9 100.0 80.0
Long eyelashes 87 51 n.a. 86.1 84.6 84.2 100.0 80.0
Microcephaly 35 (<P3) 95 (<P2) 25 77.1 91.7 68.4 66.7 60.0
Downslanting palpebral fissures 88 90 85 86.8 92.9 85.0 66.7 50.0
Columella below the alae nasi 93 78 n.a. 85.7 100.0 66.7 100.0 75.0
Beaked nose 94 93 88 82.9 100.0 73.7 100.0 60.0
Narrow palate 89 93 n.a. 94.1 100.0 88.9 100.0 80.0
Narrow mouth 84 56 n.a. 91.2 100.0 83.3 100.0 80.0
Low set/posteriorly rotated ears 82 81 n.a. 60.6 58.3 70.6 33.3 40.0
Skeletal abnormalities Broad thumbs/halluces 100 100 96 100.0 100.0 100.0 100.0 100.0
Angulated thumbs 33 48 33 88.6 84.6 88.9 100.0 80.0
Skin abnormalities Hirsutism n.a. n.a. n.a. 78.1 90.9 70.6 66.7 40.0
Heart anomalies 24 34 44 44.1 58.3 42.1 0.0 50.0
Urinary tract anomalies 17 52 n.a. 65.6 72.7 55.6 66.7 60.0
GI problems Infant feeding problems/Constipation 71 77 88 84.8 81.8 88.9 66.7 50.0
Teeth malformations n.a. n.a. n.a. 85.7 87.5 77.8 100.0 100.0
Eye anomalies n.a. n.a. 6–65 75.0 80.0 72.2 66.7 40.0

Frequency (in percentage) of RSTS characteristic features in our whole population and regarding the variant type, including direct comparison with other populations previously described by Hennekam et al. (1993) and Schorry et al. (2008). n.a.: not available.

We compared the prevalence of clinical characteristics within our patients grouped by the nature of CREBBP variants: large intragenic deletions, missense variants and truncating variants (nonsense, frameshift and splicing variants). Phenotype of patient #118 was not considered for this comparison since he harbors a duplication and missense variant in exon 4, complicating the interpretation of the effect of each alteration. There was no clear association of the type of variation and the prevalence of RSTS clinical features in our cohort, other than less frequent psychomotor delay reported and no heart anomalies in the missense group (Table 3). Microcephaly was more frequent in those carrying large CREBBP deletions.

Finally, the two patients harboring the same pathogenic nonsense variant showed significantly different phenotypes, with distinct dysmorphology although similar cognitive impairment. Both of them are able to carry out easy tasks by their own and live at a certain independent status under supervision.

4. DISCUSSION

Rubinstein‐Taybi syndrome is a rare genetic condition caused by alterations of CREBBP gene in up to 60% of the cases. This works aimed to provide new insights in the CREBBP genetic variant spectrum leading to RSTS phenotype, as well as to delve into the genotype–phenotype correlation in a population of 39 CREBBP‐positive RSTS patients. We have followed a sequential step methodology by which gene dosage alteration was firstly assessed by MLPA and, secondly, presence of point variants was further evaluated by NGS and confirmed by Sanger sequencing. Following this approach, we have found 14 intragenic deletions, one duplication and 25 pathogenic point variants.

CREBBP deletions accounted for 35% of the sequence alterations found in this cohort, which represents a bigger percentage compared with about 10% of large deletions in CREBBP detectable by FISH in other populations (Breuning et al., 1993; Petrij et al., 2000; Schorry et al., 2008). The higher deletion frequency detected in our population could be explained by the sequential diagnosis approach in which MLPA was used as the first‐level technique. MLPA, together with aCGH analysis, has greatly improved detection of CREBBP deletions (Aradhya et al., 2012; Rusconi et al., 2015). We have found one of the highest deletion rates reported in CREBBP so far, more in line with previous results obtained using other complementary methodologies to FISH (Lee et al., 2015; Roelfsema et al., 2005; Rusconi et al., 2015; Stef et al., 2007). The relevant contribution of CREBBP dosage anomalies in this cohort highlights the importance of evaluating CREBBP rearrangements before undertaking an extensive search for other variants in CREBBP or EP300.

CREBBP deletions were spread along the gene ranging in size from one exon to the entire gene. Half of the patients carried deletions of five exons or more. One of the probands showed a deletion of the whole CREBBP gene from exons 1 to 31. Assessment of a potential deletion beyond CREBBP involving adjacent genes needs to be further explored in this patient. A more severe phenotype associated with deletion of CREBBP and contiguous genes was previously observed (Bartsch et al., 2006), although not confirmed in other populations (Rusconi et al., 2015). Clinical evaluation of this CREBBP‐deleted patient was limited since he is a newborn. Comprehensive clinical follow‐up should be completed to ascertain the severity of RSTS over the course of the disease and evaluate the effect of other genes on the phenotype. In line with previous results, we did not find an association of larger deletions with disease severity in our cohort (Lee et al., 2015). A correlation between location of affected exons and phenotype was neither observed, which agrees with previous studies (Rusconi et al., 2015; Stef et al., 2007). In fact, deletion of exon 31 was sufficient to be disease causing in a severe form of RSTS, as was also described in one case from an Italian population (Rusconi et al., 2015). Phenotypic comparison of both cases did not show specific shared features. Indeed, our proband presented with genitalia, ocular, and urinary anomalies that were not reported in Rusconi's patient, who did present hypotonia. Neither of both patients exhibited heart problems.

Regarding point pathogenic variants, the 25 CREBBP alterations found in our population are evenly distributed throughout the 31 coding exons, although an 81‐nt long region of exon 5 clusters 4 of the 10 nonsense variants, being one of them identical in two of the patients (Figure 1). We have extensively compared the phenotype of these patients resulting in no evident‐specific similarities among all of them. In fact, patient #13 showed no ID, although exhibited the vast majority of RSTS dysmorphic features. Proband #25, who also lacked ID, carried a frameshift insertion in exon 10, preventing a specific CREBBP region from being potentially discarded as ID causative. No more patients from our study showed a normal cognition level. The nonsense variant affecting amino acid 413 (c.1237C>T) has been previously reported in different RSTS patients (Coupry et al., 2002; Roelfsema et al., 2005; Schorry et al., 2008), resulting in a recurrent amino acid variation in RSTS. Schorry et al. (2008) found a pathogenic variant involving the same amino acid but implying a frameshift deletion of one nucleotide that leads to a stop codon after 20 amino acids. Detailed examination of the two patients from our population carrying the same nonsense variant showed a similar clinical involvement for both of them, although distinct phenotype, suggesting a relevant role of other modulating factors or compensatory mechanisms, which need to be further studied.

In silico pathogenic prediction confirmed all the genetic alterations to be likely causative of the disease. One splicing and one missense variant in patients #40 and #136 were classified as of uncertain significance according to ACGM guidelines. Both patients showed the characteristic RSTS phenotype and the other prediction tools available confirmed pathogenicity of the variants found, leading to their disease causative consideration. Additionally, mosaic condition of the splicing variant found in patient #142 deserves special consideration as well. This could represent another example of the previously reported dosage sensitivity of the CREBBP gene (Gervasini et al., 2007), determining the repercussion on the phenotype by mosaic variants and leading in this case to a severe form of the disease.

Another missense variant of uncertain significance was detected in exon 4 of one patient (#118) who also carried duplication of exons 14–19, being both de novo and in heterozygosis. Intragenic duplication of CREBBP was found in other RSTS populations. A patient carrying duplication of exon 16 was reported in a previous study (Stef et al., 2007), which was confirmed to produce a truncated protein. Roelfsema et al. (2005) described exon 1 duplication, although it was not clear how this leaded to the inactivation of the allele. Partial gene duplication has been related to disease in several syndromes as Duchenne, Menkes, Optiz, Johansson‐Blizzard or Mowat‐Wilson syndromes (Baxter et al., 2017; Mogensen et al., 2011; Schwaibold et al., 2014; Sukalo et al., 2017), although with minor weight in the global variant spectrum. The specific role of the missense variant in exon 4 and duplication of CREBBP exons 14–19 as causative of the clinical manifestations in #118 needs to be further elucidated. Phenotypic characteristics of this patient were typical of RSTS and clinical manifestations did not stand out from the rest of our cohort.

This study showed a wide range of point CREBBP variant types, as was also reported by others (Bartsch et al., 2005; Bentivegna et al., 2006; Coupry et al., 2002; Schorry et al., 2008). Although CREBBP variants have already been deeply studied as causative of RSTS, the comprehensive description of the type and pathogenicity of the CREBBP variants found in this large Spanish population, together with the corresponding phenotypic evaluation, adds valuable information to RSTS knowledge and provides new data to establish general epidemiology of this disorder. Nonsense variants were predominant in our population, implying a 30% of the overall CREBBP variation found (12 of 40), although frameshift variants were the most prevalent ones in the general characterization of RSTS (López et al., 2018; Spena, Gervasini, et al., 2015). Additionally, five frameshift (12.5%), four missense (10%), and four splicing (10%) variants were detected. Distribution of variant types differs among the different RSTS cohorts studied so far (Bentivegna et al., 2006; Lee et al., 2015; Roelfsema et al., 2005; Schorry et al., 2008; Spena, Gervasini, et al., 2015; Thienpont et al., 2010; Udaka et al., 2005; Wincent et al., 2015). Comparing clinical manifestations among patients carrying different variant types, we did not find a characteristic pattern for any of them, although microcephaly was more frequent in patients carrying large CREBBP deletions. Exon location, even focusing on HAT‐domain affecting variants, did not support evidence for more severe forms of RSTS prediction, although variants in this highly conserved domain have been shown to be sufficient to cause the full RSTS phenotype (Kalkhoven et al., 2003). After grouping variants in truncating or single amino acid substitutions, no striking differences were found regarding prevalence and severity of clinical signs, although the number of missense variants available for this evaluation (N = 3) was too limited to draw conclusions. In fact, a slight lower frequency of RSTS features could be noticed in the truncating variants group. However, this could be a consequence of the already considerable phenotypic variability in the syndrome, better represented in this larger group.

Most prior studies have not shown significant genotype–phenotype correlations (Schorry et al., 2008; Spena, Milani, et al., 2015). Our cohort of CREBBP‐positive patients does not support the existence of decisive phenotypic difference between patients with large or small deletions, although certain RSTS signs, especially those related to organ malformations, may be more prevalent in CREBBP‐deleted patients compared to point genetic variants. We observed no evident correlation of variant type, location or involvement of the crucial HAT domain with disease severity, confirming the absence of a genotype–phenotype correlation, as was previously reported in other cohorts (Bentivegna et al., 2006; Rusconi et al., 2015; Stef et al., 2007; Suzuki et al., 2013). Heterogeneity of CREBBP alterations and phenotypic features found in this study is also in accordance with other populations previously characterized (Hennekam et al., 1993; Schorry et al., 2008), establishing the variability both in genotype and phenotype representative of RSTS. Regarding tumor incidence, which was associated with RSTS (Boot et al., 2018), only hemangioma was reported in this population, affecting 23% of the patients. However, long‐term follow‐up could provide further information, especially considering the young age of most of the participants of the study.

Rubinstein‐Taybi syndrome is a multisystem dysmorphic syndrome with many nonspecific features and phenotypic overlap with other syndromes, which makes accurate and early diagnosis challenging. The lack of standardized clinical criteria also hampers gathering comprehensive clinical data and interstudy comparison. Indeed, one limitation faced in this study is the limited phenotypic information that could be compiled in some of the cases, even though a standardized questionnaire was asked to be filled‐in. ID could not be quantitatively compared since a standardized quantification method was not available for the whole cohort. In fact, it was not possible to assess ID in 6 of the cases, all but one due to being under 2 years of age, which hampers accurate performance evaluation. Additionally, the detection of a borderline cognitive disability could be challenging and blurred by early extensive stimulation of the patient. The availability of a molecular test would greatly aid the clinician in the confirmation of the diagnosis. A genotype–phenotype correlation could also aid in disease prognosis. Nevertheless, the genetic cause of RSTS remains unknown in 25%–30% of the patients, which highlights the need to continue deepening in the etiology and molecular mechanisms of the syndrome. Almost half of the genetic variants found in this cohort were reported in this work for the first time, hence, contributing to the RSTS molecular knowledge and expanding the CREBBP genetic variant repertoire of this complex disorder.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments.

Informed consent was obtained from all individual participants included in the study. Additional informed consent was obtained from all individual participants for whom identifying information is included in this article.

AUTHOR CONTRIBUTION

AO‐G, JA, SG‐M, JMM‐L, MPM, MAR‐A, FS‐S, and VS performed the clinical diagnosis and recruited the patients. AO‐G evaluated the patients according to standardized guidelines and contributed to the genotype–phenotype study. VP‐G, ML, and ED‐G carried out bioinformatics and data analysis. VP‐G, ED‐G, and AG‐O wrote and revised the manuscript.

Supporting information

 

ACKNOWLEDGMENTS

We thank the patients and families for participating in this study, with special acknowledgment to the Spanish Rubinstein‐Taybi Association. This work was supported by the Spanish Rubinstein‐Taybi Association, Calzados José Sáenz S.L., and the European Regional Development Fund.

Pérez‐Grijalba V, García‐Oguiza A, López M, et al. New insights into genetic variant spectrum and genotype–phenotype correlations of Rubinstein‐Taybi syndrome in 39 CREBBP‐positive patients. Mol Genet Genomic Med. 2019;7:e972 10.1002/mgg3.972

Funding information

This study was funded by FEDER funds (6FRSABC004), Calzados José Saenz S.L., and the Spanish Rubinstein‐Taybi Association.

REFERENCES

  1. Aradhya, S. , Lewis, R. , Bonaga, T. , Nwokekeh, N. , Stafford, A. , Boggs, B. , … Suchy, S. (2012). Exon‐level array CGH in a large clinical cohort demonstrates increased sensitivity of diagnostic testing for Mendelian disorders. Genetics in Medicine: Official Journal of the American College of Medical Genetics, 14, 594–603. 10.1038/gim.2011.65 [DOI] [PubMed] [Google Scholar]
  2. Bartsch, O. , Rasi, S. , Delicado, A. , Dyack, S. , Neumann, L. M. , Seemanová, E. , … Kalscheuer, V. M. (2006). Evidence for a new contiguous gene syndrome, the chromosome 16p13. 3 deletion syndrome alias severe Rubinstein – Taybi syndrome. Human Genetics, 120, 179–186. 10.1007/s00439-006-0215-0 [DOI] [PubMed] [Google Scholar]
  3. Bartsch, O. , Schmidt, S. , Richter, M. , Morlot, S. , Seemanová, E. , Wiebe, G. , & Rasi, S. (2005). DNA sequencing of CREBBP demonstrates mutations in 56% of patients with Rubinstein‐Taybi syndrome (RSTS) and in another patient with incomplete RSTS. Human Genetics, 117, 485–493. 10.1007/s00439-005-1331-y [DOI] [PubMed] [Google Scholar]
  4. Baxter, A. L. , Vivian, J. L. , Hagelstrom, R. T. , Hossain, W. , Golden, W. L. , Wassman, E. R. , … Butler, M. G. (2017). A novel partial duplication of ZEB2 and review of ZEB2 involvement in Mowat‐Wilson syndrome. Molecular Syndromology, 8, 211–218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bentivegna, A. , Milani, D. , Gervasini, C. , Castronovo, P. , Mottadelli, F. , Manzini, S. , … Larizza, L. (2006). Rubinstein‐Taybi syndrome: Spectrum of CREBBP mutations in Italian patients. BMC Medical Genetics, 7, 77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Bjornsson, H. T. (2015). The Mendelian disorders of the epigenetic machinery. Genome Research, 25, 1473–1481. 10.1101/gr.190629.115 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Boot, M. V. , van Belzen, M. J. , Overbeek, L. I. , Hijmering, N. , Mendeville, M. , Waisfisz, Q. , … de Jong, D. (2018). Benign and malignant tumors in Rubinstein‐Taybi syndrome. American Journal of Medical Genetics, 176, 597–608. 10.1002/ajmg.a.38603 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Breuning, M. H. , Dauwerse, H. G. , Fugazza, G. , Saris, J. J. , Spruit, L. , Wijnen, H. , … Hennekam, R. C. (1993). Rubinstein‐Taybi syndrome caused by submicroscopic deletions within 16p13.3. American Journal of Human Genetics, 52, 249–254. [PMC free article] [PubMed] [Google Scholar]
  9. Coupry, I. , Monnet, L. , Attia, A. A. , Taine, L. , Lacombe, D. , & Arveiler, B. (2004). Analysis of CBP (CREBBP) gene deletions in Rubinstein‐Taybi syndrome patients using real‐ time quantitative PCR. Human Mutation, 284, 278–284. 10.1002/humu.20001 [DOI] [PubMed] [Google Scholar]
  10. Coupry, I. , Roudaut, C. , Stef, M. , Delrue, M. A. , Marche, M. , Burgelin, I. , … Arveiler, B. (2002). Molecular analysis of the CBP gene in 60 patients with Rubinstein‐Taybi syndrome. Journal of Medical Genetics, 39, 415–421. 10.1136/jmg.39.6.415 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Den Dunnen, J. T. , Dalgleish, R. , Maglott, D. R. , Hart, R. K. , Greenblatt, M. S. , McGowan‐Jordan, J. , … Taschner, P. E. (2016). HGVS recommendations for the description of sequence variants: 2016 update. Human Genetics, 37, 564–569. [DOI] [PubMed] [Google Scholar]
  12. Gervasini, C. , Castronovo, P. , Bentivegna, A. , Mottadelli, F. , Faravelli, F. , Giovannucci‐Uzielli, M. L. , … Larizza, L. (2007). High frequency of mosaic CREBBP deletions in Rubinstein‐Taybi syndrome patients and mapping of somatic and germ‐line breakpoints. Genomics, 90, 567–573. 10.1016/j.ygeno.2007.07.012 [DOI] [PubMed] [Google Scholar]
  13. Hennekam, R. C. M. (2006). Rubinstein‐Taybi syndrome. European Journal of Human Genetics, 14, 981–985. 10.1038/sj.ejhg.5201594 [DOI] [PubMed] [Google Scholar]
  14. Hennekam, R. C. , Tilanus, M. , Hamel, B. C. , Voshart‐van Heeren, H. , Mariman, E. C. , van Beersum, S. E. , … Breuning, M. H. (1993). Deletion at chromosome 16p13.3 as a cause of Rubinstein‐Taybi syndrome: Clinical aspects. American Journal of Human Genetics, 52, 255–262. [PMC free article] [PubMed] [Google Scholar]
  15. Kalkhoven, E. , Roelfsema, J. H. , Teunissen, H. , den Boer, A. , Ariyurek, Y. , Zantema, A. , … Peters, D. J. (2003). Loss of CBP acetyltransferase activity by PHD finger mutations in Rubinstein – Taybi syndrome. Human Molecular Genetics, 12, 441–450. 10.1093/hmg/ddg039 [DOI] [PubMed] [Google Scholar]
  16. Korzus, E. (2017). Rubinstein‐Taybi syndrome and Epigenetic Alterations. Advances in Experimental Medicine and Biology, 978, 39–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Lee, J. S. , Byun, C. K. , Kim, H. , Lim, B. C. , Hwang, H. , Choi, J. E. , … Chae, J. H. (2015). Clinical and mutational spectrum in Korean patients with Rubinstein–Taybi syndrome: The spectrum of brain MRI abnormalities. Brain and Development, 37, 402–408. [DOI] [PubMed] [Google Scholar]
  18. López, M. , García‐Oguiza, A. , Armstrong, J. , García‐Cobaleda, I. , García‐Miñaur, S. , Santos‐Simarro, F. , … Domínguez‐Garrido, E. (2018). Rubinstein‐Taybi 2 associated to novel EP300 mutations: Deepening the clinical and genetic spectrum. BMC Medical Genetics, 19, 36 10.1186/s12881-018-0548-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Mogensen, M. , Skjørringe, T. , Kodama, H. , Silver, K. , Horn, N. , & Møller, L. B. (2011). Exon duplications in the ATP7A gene: Frequency and transcriptional behaviour. Orphanet Journal of Rare Diseases, 6, 73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Negri, G. , Magini, P. , Milani, D. , Crippa, M. , Biamino, E. , Piccione, M. , … Gervasini, C. (2019). Exploring by whole exome sequencing patients with initial diagnosis of Rubinstein‐Taybi syndrome: The interconnections of epigenetic machinery disorders. Human Genetics, 138, 257–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Petrij, F. , Dauwerse, H. G. , Blough, R. I. , Giles, R. H. , van der Smagt, J. J. , Wallerstein, R. , … Breuning, M. H. (2000). Diagnostic analysis of the Rubinstein‐Taybi syndrome: Five cosmids should be used for microdeletion detection and low number of protein truncating mutations. Journal of Medical Genetics, 37, 168–176. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Richards, S. , Aziz, N. , Bale, S. , Bick, D. , Das, S. , Gastier‐Foster, J. , … Rehm, H. L. (2015). Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genetics in Medicine: Official Journal of the American College of Medical Genetics, 17, 405–424. 10.1038/gim.2015.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Roelfsema, J. H. , White, S. J. , Ariyürek, Y. , Bartholdi, D. , Niedrist, D. , Papadia, F. , … Peters, D. J. M. (2005). Genetic Heterogeneity in Rubinstein‐Taybi Syndrome: Mutations in Both the CBP and EP300 Genes Cause Disease. The American Journal of Human Genetics, 76, 572–580. 10.1086/429130 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Rusconi, D. , Negri, G. , Colapietro, P. , Picinelli, C. , Milani, D. , Spena, S. , … Gervasini, C. (2015). Characterization of 14 novel deletions underlying Rubinstein – Taybi syndrome: An update of the CREBBP deletion repertoire. Human Genetics, 134, 613–626. [DOI] [PubMed] [Google Scholar]
  25. Schorry, E. K. , Keddache, M. , Lanphear, N. , Rubinstein, J. , Srodulski, S. , Fletcher, D. , … Grabowski, G. (2008). Genotype–phenotype correlations in Rubinstein–Taybi Syndrome. American Journal of Medical Genetics Part A, 146A, 2512–2519. 10.1002/ajmg.a.32424 [DOI] [PubMed] [Google Scholar]
  26. Schwaibold, E. M. , Smogavec, M. , Hobbiebrunken, E. , Winter, L. , Zoll, B. , Burfeind, P. , … Pauli, S. (2014). Intragenic duplication of EHMT1 gene results in Kleefstra syndrome. Molecular Cytogenetics, 7, 74 10.1186/s13039-014-0074-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Spena, S. , Gervasini, C. , & Milani, D. (2015). Ultra‐rare syndromes: The example of Rubinstein‐Taybi syndrome. Journal of Pediatric Genetics, 4, 177–186. 10.1055/s-0035-1564571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Spena, S. , Milani, D. , Rusconi, D. , Negri, G. , Colapietro, P. , Elcioglu, N. , … Gervasini, C. (2015). Insights into genotype‐phenotype correlations from CREBBP point mutation screening in a cohort of 46 Rubinstein‐Taybi syndrome patients. Clinical Genetics, 88, 431–440. [DOI] [PubMed] [Google Scholar]
  29. Stef, M. , Simon, D. , Mardirossian, B. , Delrue, M. A. , Burgelin, I. , Hubert, C. , … Arveiler, B. (2007). Spectrum of CREBBP gene dosage anomalies in Rubinstein‐Taybi syndrome patients. European Journal of Human Genetics: EJHG, 15, 843–847. 10.1038/sj.ejhg.5201847 [DOI] [PubMed] [Google Scholar]
  30. Sukalo, M. , Schäflein, E. , Schanze, I. , Everman, D. B. , Rezaei, N. , Argente, J. , … Zenker, M. (2017). Expanding the mutational spectrum in Johanson-Blizzard syndrome: Identification of whole exon deletions and duplications in the UBR1 gene by multiplex ligation-dependent probe amplification analysis. Molecular Genetics & Genomic Medicine, 5, 774–780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Suzuki, K. T. , Torres, L. C. , Sugayama, S. M. , Aguiar Alves, B. D. C. , Moreira‐Filho, C. A. , … Carneiro‐Sampaio, M. (2013). New CBP mutations in Brazilian patients with Rubinstein‐Taybi syndrome. Clinical Genetics, 83, 291–292. [DOI] [PubMed] [Google Scholar]
  32. Thienpont, B. , Béna, F. , Breckpot, J. , Philip, N. , Menten, B. , Van Esch, H. , … Devriendt, K. (2010). Duplications of the critical Rubinstein‐Taybi deletion region on chromosome 16p13.3 cause a novel recognisable syndrome. Journal of Medical Genetics, 47, 155–161. 10.1136/jmg.2009.070573 [DOI] [PubMed] [Google Scholar]
  33. Udaka, T. , Samejima, H. , Kosaki, R. , Kurosawa, K. , Okamoto, N. , Mizuno, S. , … Kosaki, K. (2005). Comprehensive screening of CREB‐binding protein gene mutations among patients with Rubinstein‐Taybi syndrome using denaturing high‐performance liquid chromatography. Congenital Anomalies, 45, 125–131. 10.1111/j.1741-4520.2005.00081.x [DOI] [PubMed] [Google Scholar]
  34. Van Belzen, M. , Bartsch, O. , Lacombe, D. , Peters, D. J. M. , & Hennekam, R. C. M. (2011). Rubinstein‐Taybi syndrome (CREBBP, EP300). European Journal of Human Genetics, 19, 121 10.1038/ejhg.2010.124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Wincent, J. , Luthman, A. , van Belzen, M. , van der Lans, C. , Albert, J. , Nordgren, A. , & Anderlid, B. M. (2015). CREBBP and EP300 mutational spectrum and clinical presentations in a cohort of Swedish patients with Rubinstein–Taybi syndrome. Molecular Genetics & Genomic Medicine, 4, 39–45. [DOI] [PMC free article] [PubMed] [Google Scholar]

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