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Article

Clinical Heterogeneity and Different Phenotypes in Patients with SETD2 Variants: 18 New Patients and Review of the Literature

by
Alejandro Parra
1,2,3,
Rachel Rabin
4,
John Pappas
4,5,
Patricia Pascual
1,2,3,
Mario Cazalla
2,
Pedro Arias
1,2,3,
Natalia Gallego-Zazo
1,2,3,
Alfredo Santana
6,
Ignacio Arroyo
7,
Mercè Artigas
8,
Harry Pachajoa
9,
Yasemin Alanay
10,11,
Ozlem Akgun-Dogan
10,11,
Lyse Ruaud
12,13,
Nathalie Couque
12,14,
Jonathan Levy
12,14,
Gloria Liliana Porras-Hurtado
15,
Fernando Santos-Simarro
16,
Maria Juliana Ballesta-Martinez
17,18,
Encarna Guillén-Navarro
1,18,
Hugo Muñoz-Hernández
19,
Julián Nevado
1,2,3,
Spanish OverGrowth Registry Initiative
20,†,
Jair Tenorio-Castano
1,2,3 and
Pablo Lapunzina
1,2,3,*
add Show full author list remove Hide full author list
1
CIBERER, Centro de Investigación Biomédica en Red de Enfermedades Raras, 28046 Madrid, Spain
2
INGEMM-Idipaz, Institute of Medical and Molecular Genetics, 28046 Madrid, Spain
3
ITHACA, European Reference Network, Hospital Universitario La Paz, 28046 Madrid, Spain
4
Clinical Genetic Services, Department of Pediatrics, NYU School of Medicine, New York, NY 10016, USA
5
Clinical Genetics, NYU Orthopedic Hospital, New York, NY 10010, USA
6
Clinical Genetics Unit, Complejo Hospitalario Universitario Insular-Materno Infantil de Las Palmas de Gran Canaria, 35016 Las Palmas de Gran Canaria, Spain
7
Pediatrics Department, San Pedro de Alcántara Hospital, 10003 Cáceres, Spain
8
Genetics Unit, Hospital de Navarra, 31008 Pamplona, Spain
9
Fundación Valle del Lili, Universidad Icesi, 760032 Cali, Colombia
10
Division of Pediatric Genetics, Department of Pediatrics, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey
11
Rare Diseases and Orphan Drugs Application and Research Center (ACURARE), Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey
12
Department of Genetics, APHP-Robert Debré University Hospital, 75019 Paris, France
13
INSERM UMR1141, Neurodiderot, University of Paris Cité, 75019 Paris, France
14
Laboratoire de Biologie Médicale Multisites Seqoia-FMG2025, 75014 Paris, France
15
Línea de Investigación de Anomalías Congénitas y Enfermedades Huérfanas-Comfamiliar, Risaralda, Colombia
16
Unidad de Diagnóstico Molecular y Genética Clínica, Hospital Universitario Son Espases, Idisba, 07120 Palma de Mallorca, Spain
17
Sección de Genética Médica, Hospital Clínico Universitario Virgen de la Arrixaca, 30120 Murcia, Spain
18
Instituto Murciano de Investigación Biosanitaria (IMIB), 30120 Murcia, Spain
19
Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, 8092 Zurich, Switzerland
20
Spanish OverGrowth Registry Initiative, La Paz University Hospital, 28046 Madrid, Spain
*
Author to whom correspondence should be addressed.
See acknowledgements for Spanish OverGrowth Registry Initiative.
Genes 2023, 14(6), 1179; https://doi.org/10.3390/genes14061179
Submission received: 11 May 2023 / Revised: 25 May 2023 / Accepted: 26 May 2023 / Published: 29 May 2023
(This article belongs to the Special Issue Molecular Basis of Rare Diseases)

Abstract

:
SETD2 belongs to the family of histone methyltransferase proteins and has been associated with three nosologically distinct entities with different clinical and molecular features: Luscan–Lumish syndrome (LLS), intellectual developmental disorder, autosomal dominant 70 (MRD70), and Rabin–Pappas syndrome (RAPAS). LLS [MIM #616831] is an overgrowth disorder with multisystem involvement including intellectual disability, speech delay, autism spectrum disorder (ASD), macrocephaly, tall stature, and motor delay. RAPAS [MIM #6201551] is a recently reported multisystemic disorder characterized by severely impaired global and intellectual development, hypotonia, feeding difficulties with failure to thrive, microcephaly, and dysmorphic facial features. Other neurologic findings may include seizures, hearing loss, ophthalmologic defects, and brain imaging abnormalities. There is variable involvement of other organ systems, including skeletal, genitourinary, cardiac, and potentially endocrine. Three patients who carried the missense variant p.Arg1740Gln in SETD2 were reported with a moderately impaired intellectual disability, speech difficulties, and behavioral abnormalities. More variable findings included hypotonia and dysmorphic features. Due to the differences with the two previous phenotypes, this association was then named intellectual developmental disorder, autosomal dominant 70 [MIM 620157]. These three disorders seem to be allelic and are caused either by loss-of-function, gain-of-function, or missense variants in the SETD2 gene. Here we describe 18 new patients with variants in SETD2, most of them with the LLS phenotype, and reviewed 33 additional patients with variants in SETD2 that have been previously reported in the scientific literature. This article offers an expansion of the number of reported individuals with LLS and highlights the clinical features and the similarities and differences among the three phenotypes associated with SETD2.

1. Introduction

Overgrowth syndromes (OGS) comprise a heterogeneous group of disorders whose main characteristic is that either the weight, height, or head circumference, (often also occurring together) are above the 97th centile or 2–3 standard deviations (SD) above the mean for age, gender, and ethnic group [1]. Most of the OGS are associated with other clinical features that sometimes overlap between them, making the clinical diagnosis a challenge for both pediatricians and geneticists.
Luscan–Lumish syndrome (LLS) [MIM 616831] is an infrequent overgrowth disorder [2]. The main clinical features of this condition include macrocephaly, tall stature, intellectual disability, speech delay, autism spectrum disorder (ASD), and motor delay [3]. In 2020, Rabin et al. [4] described a series of 12 patients associated with a missense variant at codon 1740 of the SETD2 gene. Patients mostly had microcephaly, intellectual disability, and multiple congenital abnormalities, such as congenital heart defects, abnormality of the skeletal system, and/or abnormality of the genitourinary system. The phenotypic association was named RAPAS [MIM 6201551], and all of these patients carried the same de novo missense variant, p.Arg1740Trp. The same authors also described three patients who carried another missense variant at the same amino acid position, p.Arg1740Gln in the SETD2 gene. This variant was present in patients with a different phenotype compared to those with RAPAS, including mild global developmental delay, moderately impaired intellectual disability with speech difficulties, and behavioral abnormalities. More variable findings included hypotonia and dysmorphic features. This association was then named the intellectual developmental disorder, autosomal dominant 70 (MRD70) [MIM 620157]. The fact that these phenotypes were different to the classic LSS could be explained by a possible gain-of-function mechanism, or an effect in the epigenetic regulation of this gene [4].
LLS, RAPAS, and MRD70 are caused by heterozygous variants in the set domain-containing protein 2 (SETD2) gene located on chromosome 3p21.31. SETD2 encodes a protein belonging to the methyltransferase family of proteins, which are involved in histone regulation, playing an important role in gene expression regulation [5]. SETD2 is also involved in other biological processes, such as DNA damage repair and DNA replication. Its main function is the trimethylation of lysine 36 on histone H3 (H3K36me3) [6]. Moreover, SETD2 methylates α-tubulin at lysine 40 during mitosis and cytokinesis, participating in the maintenance of genomic stability through its dual-function methyltransferase for chromatin and cytoskeleton [7]. Other genes belonging to the histone methyltransferase family have also been associated with overgrowth disorders (i.e., DNMT3A and BRWD3) [8,9].
As many other genes that are involved in overgrowth disorders, SETD2 is associated with several neoplastic processes at the somatic level. SETD2 is absent or reduced in several cancers, supporting a tumor suppressive role of the protein [10]. In addition, somatic variants in SETD2 have been found in many different cancers such as breast cancer, leukemia, and renal neoplasia [11,12].
Since the first detection of variants in SETD2 as causative of ASD and a neurodevelopmental disorder [13,14], and the establishment of these variants as responsible for LLS, RAPAS, and MRD70 [2,4,15], only 33 patients have been reported to date, to the best of our knowledge. Most of these patients have been diagnosed by massive, paralleled sequencing technologies or NGS. Reported pathogenic or likely pathogenic variants in LLS, RAPAS and MRD70 comprise missense, nonsense, and frameshift variants in SETD2. In families in which segregation analysis was available, it was confirmed that most of the variants were de novo, and only in two patients was a vertical transmission reported [13].
Herein, we report 18 additional patients with variants in SETD2 and a review of the clinical features found in LLS, RAPAS, and MDR70 patients from our cohort, and from all the individuals reported so far.

2. Material and Methods

2.1. Patients

Patients were selected from the Spanish Overgrowth Syndromes Registry Initiative (SOGRI), which comprises more than 2200 individuals and relatives with overgrowth disorders. This study was approved by the ethical committee of the Hospital Universitario La Paz (CEIm PI-446), and informed consent was obtained from all patients and/or their parents.
In addition to the SOGRI patients, a review of all previously reported patients in the scientific literature was made, and the phenotypes of these individuals were compared with those of the SOGRI described in this report. Additional patients were collected with collaborative support tools, including GeneMatcher [16].

2.2. Genetic Analysis

All patients from the Hospital Universitario La Paz were analyzed by a custom NGS panel using a Roche SeqCap EZ Kit (Roche, Basel, Switzerland) capture kit, and sequencing was performed with NextSeq500 technology (Illumina, CA, USA). A customized in-house bioinformatic pipeline was developed to analyze the raw data. This pipeline consisted of base calling, alignment, local realignment, duplicate removal, quality recalibration, data merging, variant detection, genotyping, and annotation. Quality control checkpoints were undertaken at numerous points to ensure the quality and integrity of the data, and as a result, the BAM and VCF files were obtained. Candidate variants that were obtained following a custom prioritization pipeline were validated by Sanger sequencing according to the standard procedures, and electropherograms were analyzed with Sequencher v4.1.4 (Genecodes, MI, USA). Patients from the other centers were analyzed either by their own NGS panels or with whole exome sequencing. Variant classification was made according to the qualitative American College of Medical Genetics and Genomics (ACMG) guidelines [17].

2.3. Protein Structural Analysis

The protein structure of wild type SETD2 1400–1800 and variants p.Glu1718Lys, p.Arg1740Trp, and p.Arg1740Gln were predicted using the Alphafold 2.1.1 neural network [18,19] and database of the scientific computing of ETH Zürich. The visualization was performed using UCSF ChimeraX [20,21].

3. Results

3.1. Molecular Results

We analyzed SETD2 variants in 18 novel patients by NGS and identified 15 different genetic variants (four of them presented the same variant). Detailed information of the detected variants is shown in Table 1. None of the variants except for the p.Gln7Ter variant were previously reported in the literature. Nine out of the fifteen variants (60%) were absent in the pseudo-control population databases (gnomAD exomes, gnomAD genomes, Kaviar, 1000G, ESP, Beacon, and Bravo, respectively). The other six variants were found to have an extremely low population frequency: p.His866_Tyr871del: 0.00000657, p.Gln7Ter: 0.000244, p.Asp2100Gly: 0.00000657, and p.Asn1257Tyr: 0.00000657, respectively (data source: gnomAD genomes version 3.1.2). We also reviewed patients with SETD2 variants previously reported in the literature, leading to 51 individuals being identified with variants in this gene reported so far. All SETD2 variants reported are displayed in Figure 1 and listed in Table 1. To sum up, thirty-four genetic variants have been detected in this cohort of patients, comprising sixteen missense, nine frameshift, seven nonsense, one in-frame deletion, and one splicing variant, respectively. According to the guidelines of the American College of Medical Genetics (ACMG) [17], 15 variants were classified as pathogenic, 5 variants were classified as likely pathogenic, and the other 14 were classified as variants of unknown significance (VUS).

3.2. Clinical Features of Reported Patients

Clinical features of the patients reported herein are listed in Table 2, and pictures of several of these patients are shown in Figure 2. We also reviewed the clinical information of the 18 novel and those previously published patients with confirmed genetic variants in SETD2 (n = 51). We separated these patients according to their phenotypes in three groups: Group 1—thirty-four patients with LLS; Group 2—fourteen patients with RAPAS, and Group 3—three patients with MRD70. Table 3 shows the frequency of clinical features in the three different groups of patients with variants in the SETD2 gene. Figure 3 shows a distribution of the most relevant clinical features of each disorder. Intellectual disability was the most common clinical feature found among the three groups. Macrocephaly (67%), overgrowth (50%), and autism (50%) were identified as the clinical features with the highest frequency in patients with the LLS phenotype (group 1). Other common clinical features were speech delay (44.1%), developmental delay (38.2%), prominent forehead (32.4%), obesity (32.4%), motor delay (32.4%), and tall stature (29.4%). In patients with RAPAS, intellectual disability, microcephaly, abnormality of the skeletal system, absent speech, motor delay, developmental delay, and hypotonia were found in all patients. Hypertelorism, cerebellar hypoplasia, congenital heart defects, abnormality of the genitourinary system, failure to thrive in infancy, feeding difficulties, and micrognathia were observed in 12 patients (85.7%). Although the three patients with MRD70 share a few clinical features with patients of the group 2 (RAPAS phenotype), individuals with RAPAS are severely affected with multiple congenital anomalies and a profound intellectual disability. Mild intellectual disability (100%), abnormality of the skeletal system (66.6%), hypotonia (66.6%), and retrognathia (66.6%) were the most common clinical features identified in MRD70 individuals.

4. Discussion

SETD2 encodes a lysine methyltransferase protein which trimethylates lysine 36 of histone H3 (H3K36me3) and methylates α-tubulin at lysine 40 [6,7]. Histone methylation is critical for embryonic development, and its dysregulation can lead to abnormalities in body patterning and defects in specific organ development. Loss of SETD2, which has previously been assessed through SETD2 conditional knockouts in mice, revealed that this gene is essential for proper cortical arealization and corticothalamic projection formation. In addition, these SETD2 knockout mice also displayed defects in social interaction, motor learning, and spatial memory, resembling LLS patients [27]. Moreover, knockout of SETD2 results in defects in neuronal morphology transition, and therefore, in radial migration transition [28].
Here, we report 18 new patients with heterozygous variants in SETD2. So far, 33 patients have been reported with SETD2 variants [2,3,4,13,15,22,23,24,25,26]. Thus, this report reviewed and summarized the information of 51 patients and emphasized the clinical heterogeneity in individuals carrying these SETD2 variants. Pathogenic or likely pathogenic variants in SETD2 can result in three different phenotypes: LLS, RAPAS, and MRD70, depending on the position of the variant in the protein [4]. The 51 patients we evaluated in this study were separated according to their phenotype: 34 LLS patients, 14 RAPAS patients, and 3 MRD70 patients.
Sixteen out of the eighteen novel patients described here had a clinical presentation compatible with LLS. The two remaining patients (patients #13 and #18) showed clinical features consistent with RAPAS. No patients with the MRD70 phenotype were found in our series. The results of the clinical study of our cohort supported the fact that macrocephaly, overgrowth, intellectual disability, autism, and delayed speech are the clinical features more commonly observed in LLS patients. Macrocephaly was the clinical feature with the highest frequency in LLS patients; it occurred in 23/34 patients, and 18 out of these 23 patients presented likely gene-disrupting variants (LGD), frameshift, or nonsense variants. Macrocephaly, together with overgrowth occurred in 15/34 (44.1%) patients. As is shown in Figure 2, LGD variants are not randomly distributed along the gene. It seems that there are two clusters of LGD variants, one between the codons 270 and 700 and the other one in the low charge region (LCR). Patients with LGD variants in these clusters tended to have more frequent macrocephaly, overgrowth, speech delay, autism, and developmental delays. In addition, a lack of LGD variants can be observed in the functional region of the protein (AWS-SET-PS domains). This may suggest that a highly deleterious effect on this region of the protein may produce an aberrant form incompatible with life development.
Patient 2 is a 13-years-old male with a head circumference >5SD. Gene panel sequencing enabled the detection of a heterozygous in-frame deletion variant c.2598_2615del (p.His866_Tyr871del) in SETD2. Genetic testing also detected a missense variant NM_000314.8:c.464A>G (p.Tyr155Cys) in PTEN. Both variants were inherited from the father, who presented with macrocephaly as well but with no other clinical features to resemble. Pathogenic variants in PTEN lead to the autosomal dominant disorder macrocephaly/autism syndrome [MIM #605309], among other overgrowth disorders and cancer processes at the somatic level. Patient 2 presented a very pronounced macrocephaly (>5SD). Both LLS due to SETD2 and macrocephaly/autism syndrome due to PTEN pathogenic variants include macrocephaly as a common clinical feature. The head circumference measurement of this patient might be due to an additive effect of both genes. In fact, the additive effect of PTEN with other genes in several other malignancies has already been demonstrated [29].
Patients 3 to 6 and patient 20 all share the same nonsense variant NM_014159.7:c.19C>T (p.Gln7Ter) in SETD2. In patients 3 and 4, segregation analysis of the variant could not be performed, but vertical transmission of this variant was confirmed in patients 5 and 20. Both patients 5 and 20 inherited the variant from their mothers. The p.Gln7Ter variant results in a premature termination codon, which has been predicted to cause a truncation of the encoded protein, or the degradation of the transcript through the nonsense mediated decay (NMD) machinery. This variant is present in 40 alleles in gnomAD Exomes and gnomAD Genomes, with 39 of them belonging to the Latino subpopulation (with 0.000353 and 0.00229 allele frequencies in the Latino subpopulation in gnomAD Exomes and gnomAD Genomes, respectively). According to the guidelines of the ACMG, this variant has been classified as a variant of unknown significance (VUS). This variant is located in the first exon of the canonical transcript. However, for the rest of the transcripts, the variant is located within the 5′UTR region. Therefore, protein disruption could only take place in the canonical transcript. According to the GTex Portal, the canonical transcript is the second with the highest expression. Moreover, codon 12 of the canonical transcript is a methionine which, under the proper conditions, could act as a secondary translation initiator. Despite the fact that the five patients display several clinical features compatible with LLS, it seems that there is not enough evidence to classify the p.Gln7Ter variant as either pathogenic or likely pathogenic at this moment.
Patient 13 is a six year-old female who is heterozygous for the variant NM_014159.7: c.5152G>A (p.Glu1718Lys). She mainly presented with microcephaly, intellectual disability, developmental delay, motor delay, hypotonia, congenital heart defect, enlarged cisterna magna, and abnormality of the skeletal system (Table 2). She did not present clinical features common to other LLS patients. Despite the fact that she did not present the p.Arg1740Trp change that could point to RAPAS syndrome, microcephaly, intellectual disability, and abnormality of the skeletal system are clinical features present in all RAPAS patients. To date, the p.Arg1740Trp variant is the only one associated with RAPAS syndrome. The underlying mechanisms of this disorder are still unknown, though gain-of-function, effects on epigenetics regulation, or posttranslational modification of the cytoskeleton are putative suggested mechanisms [4]. Figure 4A,B shows a three-dimensional structure prediction of wild type SETD2. Under standard conditions, arginine 1740 is in an alpha helix, and interacts with the arginine 1744. At the same time, arginine 1744 has been predicted to be bonded to the glutamic acid 1718 by three hydrogen bonds. Figure 4C represents several three-dimensional structure predictions of SETD2 when the variants p.Arg1740Trp, p.Arg1740Gln, and p.Glu1718Lys occur. For the variant p.Arg1740Trp, the introduction of a nonpolar aromatic residue into an alpha helix may lead to a considerable structural alteration of the protein and thus affect its function. Therefore, the specific change at this position may lead to the development of RAPAS syndrome. Strikingly, in the same amino acid, there is another change (p.Arg1740Gln) which results in a missense substitution from the arginine amino acid to a glutamine residue. This change has been predicted to exhibit a minor effect on the protein function compared to the p.Arg1740Trp and may be also correlated with the differential phenotype observed in MRD70. Another option is that RAPAS and MRD70 are the same entity with highly heterogeneous clinical manifestations. Figure 4C(i) shows a comparison between the three-dimensional structure predictions of the wild type codon 1718 (Glu) and the changed one (Lys) in patient #13. Under standard conditions, wild type glutamic acid is predicted to be bonded to the arginine 1744 by three hydrogen bonds. When the c.5152G>A occurs, this Glu1718 is changed to a Lys and consequently, these three hydrogen bonds seem to disappear. In addition, glutamic acid is a negatively charged amino acid, while lysine is a positively charged amino acid. All this could lead to an effect in the structure or electronic environment of this region of the protein. As arginine 1744 is located in close proximity to arginine 1740, the missense variant p.Glu1718Lys may result in a similar alteration than the p.Arg1740Trp. This might explain why Patient 13 displays a similar phenotype to RAPAS patients.
Patient 18 is a four-year-old female with microcephaly, intellectual disability, hypotonia, ventriculomegaly, seizures, and abnormality of the skeletal system, among other clinical features. Her clinical presentation is compatible with RAPAS; however, similar to patient #13, she did not present the p.Arg1740Trp variant. In this patient, genetic testing revealed the missense variant NM_014159.7:c.6753C>G (p.Asp2251Glu). The functional interpretation of this finding remains inconclusive.
Although patient #13 and patient #18 have a consistent phenotype with RAPAS, they did not display the complete presentation of this syndrome, as neither of them had the characteristic brain abnormalities of RAPAS (cerebellar hypoplasia, hypoplasia of the pons, or hypoplasia of corpus callosum). To date, it seems that only patients with the variant p.Arg1740Trp in SETD2 have the complete presentation of RAPAS.
In conclusion, we report 18 new patients with SETD2 variants and review all the published patients to date raising a total of 51 patients described so far. Patients with SETD2 variants are clinically heterogeneous and their clinical presentations seem to depend on the effect and/or the location of the variant among the protein. To date, pathogenic variants in SETD2 are responsible for up to three different phenotypes. Loss-of-function variants located along almost the entire length of the gene lead to LLS, while missense variants at the specific position 1740 of the protein lead to at least two different phenotypes, named as RAPAS (p.Arg1740Trp) or MRD70 (p.Arg1740Gln). Strikingly, we report two patients with a change in different amino acid positions (p.Glu1718Lys and p.Asp2251Glu, respectively) with clinical presentations that are compatible with RAPAS, suggesting that other variants could lead to the same phenotype outside the amino acid position 1740. Our in silico protein model analysis revealed an interaction between amino acids 1744 and 1718, which can be associated with the distinctive phenotype in patients with variants at position 1740 of SETD2.
It is necessary to carry out further functional studies to understand the molecular mechanisms of these SETD2 variants, and increase the number of patients assessed with variants in the SETD2 gene to further define the phenotype splitting or lumping the nosology around this gene.

Author Contributions

Conceptualization, J.T.-C. and P.L.; Methodology, A.P., P.A., J.N., J.T.-C. and P.L.; Software, M.C. and H.M.-H.; Validation, A.P., P.P., P.A., N.G.-Z., J.N. and J.T.-C.; Formal analysis, A.P., J.T.-C. and P.L.; Investigation, A.P., R.R., J.P., P.P., N.G.-Z., J.N., J.T.-C. and P.L.; Resources, R.R., J.P., A.S., I.A., M.A., H.P., Y.A., O.A.-D., L.R., N.C., J.L., G.L.P.-H., F.S.-S., M.J.B.-M., E.G.-N. and Spanish OverGrowth Registry Initiative; Data curation, A.P., R.R., M.C., J.T.-C. and P.L.; Writing–original draft, A.P.; Writing–review and editing, A.P., R.R., J.P., J.T.-C. and P.L.; Visualization, A.P., P.P., H.M.-H. and J.T.-C.; Supervision, J.T.-C. and P.L.; Project administration, J.T.-C. and P.L.; Funding acquisition, P.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the FIS PI20/01053, from the ISCIII with funding from FEDER, Europe; by PMP21/00063 from the ISCIII with funding from the FEDER, Europe and PMP22/00049 from the ISCIII with funding from the FEDER, Europe.

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of the La Paz University Hospital (CEIm PI-446).

Informed Consent Statement

Informed consent was obtained from all participants involved in the study.

Data Availability Statement

Authors can confirm that all relevant data are included in the article.

Acknowledgments

We would like to thank all the families who were involved in this project, as well as the participants of the Spanish OverGrowth Registry Initiative (SOGRI) Consortium. The SOGRI (Spanish OverGrowth Registry Initiative) Consortium is comprised of the following researchers: Antonio Plasencia, Alberto L. Rosa, Aleixandre Blanquer, Alfredo Garcı’a-Alix, Alfredo Santana, Alicia Delicado, Almudena Alonso, Amaya Rodriguez, Amparo Sanchis, Ana Moreno, Ana Patiño García, Ana Vega, Analía Bredani, Andrea Paula Solari, Andrea Villavicencio, Angelina Acosta, Anibal Nieto, Anna María Cueto González, Antonio Baldellón, Antonio González Meneses, Antonio Martínez Carrascal, Aranzazu Díaz de Bustamante, Arteche Ocasar, Blanca Gener, Blasco González, Boris Groisman, Bradford Coffee, Carlos Alcalde Martín, Carmen Aragon Fernández, Carmen Benito, Carmen Martin Seisdedos, Carmen Roche, Claudia Arberas, Claudia Perandones, Claudio Contessotto, Cristina Olivas, Daniel Armenta, Denise Cavalcanti, Dolores Elorza, Elena Zamora, Elisa Zambrano, Elisabeth Steichen, Enrique Caro Cruz, Enrique Galán Gómez, Enriqueta Román, Ernesto Goldschmidt, Esteban Marfil, Esther Gean, Eugenia Antolín, F. Javier Gascón Jiménez, Feliciano Ramos, Fermina López Grondona, Fernández Córdoba, Fernando Regla Vargas, Francisco Martínez, J. Miguel García Vegada, Giovannucci Uzielli, Gloria Gacio, Carmen González Armengod, Graciela Mercado, Hamilton Cassinelli, Ieda Orioli, Ignacio Arroyo, Ignacio Díez López, Ignacio Onsurbe Ramírez, Ignacio Pascual Castroviejo, Ignacio Pascual Pascual, Ignacio Vázquez Rio, Inés Bueno, Isabel Espejo Portero, Isabel Lorda Sánchez, Jaime Sánchez del Pozo, Jaume Campistol, Javier Arcas, Javier Fernández, Javier García Planells, Javier López Pisón, Jesús Barreiro, Jesús del Valle Nuñez, María José Jiménez Liria, Joaquín Fernández Toral, Joaquín Ramírez, Jordi Rosell, Jorge Vilaplana, José Carlos Cabral de Almeida, José Ignacio Labarta, José L. Herranz, José Luis Fernández Luna, José Luis Fuster, José M. Díaz, Jose M. Gairi, José Miguel García Sagredo, Juan A. Piñero, Juan Carlos López Gutiérrez, Juan Manuel Fernández, Juan P. López Siguero, JuanTovar, Judith Armstrong, Julián Lara, Leonor Arranz, Laura Rodríguez, Leandro Soriano, Liliana De Alba, Loreta Cimbalistiene, Loreto Martorell, Luis González Gutiérrez Solana, Luis Pérez Jurado, M Asunción López Ariztegui, M. Antonia Molina, M. Cruz García, M. Ferrer Lozano, M. Jesús Alija Merillas, M. Luisa Martínez-Frías, María L. Martínez Fernández, M. Rocío Jadraque, María Asunción García Pérez, María Montserrat Rodríguez Pedreira, María Pilar Ribate, María Teresa González López, María Teresa Moral Pumarega, Mabel Segovia, Macarena Lizama, Manuel Pombo, Margarita Martínez, Margarita Tabernero, María Antonia Ramos, Maria Ballesta, María Belar, María Jesús Lautre, Marta Cruz, M. Nieves Martínez Guardia, F. Javier Martínez Sarries, Mercedes Artigas, Mercedes Villanueva, Meritxell Torrabías, Miguel del Campo, Miguel Tomás Vila, Miguel Urioste, Mónica Rosello, Nik Kantaputra, Pablo Prieto Matos, Paloma Dorao, Paula Casano, Paula Lalaguna Mallada, Pedro Olivares, Raquel Perez Delgado, Priscila Bernardi, Rafael Camino León, Ramón Cañete, Ramón Gaztañaga, Ramón Velazquez, Ramón Vidal Samahuja, Raquel Sáez Villaverde, Ricardo Gracia, Richard Scott, Rita Valdez, Rosa Arteaga, Rosa Cedeño, Rosario Cazorla, Rosario Marín Iglesias, Rubén Bronberg, Salvador Climent, Santiago Conde Barreiro, Seema Kapoor, Soledad Kleppe, Sonia Santillán, Trinidad García Lopez, Teresa Calvo, Teresa Vendrell, Pilar Tirado, Claudia Toledo Pacheco, Alicia Ureta Huertos, Vanesa Lopez, Vanesa Lotersztein, Vanesa Méndez, Selma Vázquez Martín, Verónica Seidel, Vicente Albiach, Víctor M. Navas López, Virgina Soler, and Viviana Cosentino.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Lapunzina, P. Risk of Tumorigenesis in Overgrowth Syndromes: A Comprehensive Review. Am. J. Med. Genet. C Semin. Med. Genet. 2005, 137C, 53–71. [Google Scholar] [CrossRef]
  2. Luscan, A.; Laurendeau, I.; Malan, V.; Francannet, C.; Odent, S.; Giuliano, F.; Lacombe, D.; Touraine, R.; Vidaud, M.; Pasmant, E.; et al. Mutations in SETD2 Cause a Novel Overgrowth Condition. J. Med. Genet. 2014, 51, 512–517. [Google Scholar] [CrossRef]
  3. Chen, M.; Quan, Y.; Duan, G.; Wu, H.; Bai, T.; Wang, Y.; Zhou, S.; Ou, J.; Shen, Y.; Hu, Z.; et al. Mutation Pattern and Genotype-Phenotype Correlations of SETD2 in Neurodevelopmental Disorders. Eur. J. Med. Genet. 2021, 64, 104200. [Google Scholar] [CrossRef]
  4. Rabin, R.; Radmanesh, A.; Glass, I.A.; Dobyns, W.B.; Aldinger, K.A.; Shieh, J.T.; Romoser, S.; Bombei, H.; Dowsett, L.; Trapane, P.; et al. Genotype-Phenotype Correlation at Codon 1740 of SETD2. Am. J. Med. Genet. A 2020, 182, 2037–2048. [Google Scholar] [CrossRef]
  5. Sun, X.; Wei, J.; Wu, X.; Hu, M.; Wang, L.; Wang, H.; Zhang, Q.; Chen, S.; Huang, Q.; Chen, Z. Identification and Characterization of a Novel Human Histone H3 Lysine 36-Specific Methyltransferase. J. Biol. Chem. 2005, 280, 35261–35271. [Google Scholar] [CrossRef]
  6. Carvalho, S.; Vítor, A.C.; Sridhara, S.C.; Martins, F.B.; Raposo, A.C.; Desterro, J.M.P.; Ferreira, J.; de Almeida, S.F. SETD2 is Required for DNA Double-Strand Break Repair and Activation of the p53-Mediated Checkpoint. eLife 2014, 3, e02482. [Google Scholar] [CrossRef]
  7. Park, I.Y.; Powell, R.T.; Tripathi, D.N.; Dere, R.; Ho, T.H.; Blasius, T.L.; Chiang, Y.; Davis, I.J.; Fahey, C.C.; Hacker, K.E.; et al. Dual Chromatin and Cytoskeletal Remodeling by SETD2. Cell 2016, 166, 950–962. [Google Scholar] [CrossRef]
  8. Tenorio, J.; Alarcón, P.; Arias, P.; Dapía, I.; García-Miñaur, S.; Palomares Bralo, M.; Campistol, J.; Climent, S.; Valenzuela, I.; Ramos, S.; et al. Further Delineation of Neuropsychiatric Findings in Tatton-Brown-Rahman Syndrome due to Disease-Causing Variants in DNMT3A: Seven New Patients. Eur. J. Hum. Genet. 2020, 28, 469–479. [Google Scholar] [CrossRef]
  9. Tenorio, J.; Alarcón, P.; Arias, P.; Ramos, F.J.; Campistol, J.; Climent, S.; García-Miñaur, S.; Dapía, I.; Hernández, A.; Nevado, J.; et al. MRX93 Syndrome (BRWD3 Gene): Five New Patients with Novel Mutations. Clin. Genet. 2019, 95, 726–731. [Google Scholar] [CrossRef]
  10. Newbold, R.F.; Mokbel, K. Evidence for a Tumour Suppressor Function of SETD2 in Human Breast Cancer: A New Hypothesis. Anticancer Res. 2010, 30, 3309–3311. [Google Scholar]
  11. Kanu, N.; Grönroos, E.; Martinez, P.; Burrell, R.A.; Yi Goh, X.; Bartkova, J.; Maya-Mendoza, A.; Mistrík, M.; Rowan, A.J.; Patel, H.; et al. SETD2 Loss-of-Function Promotes Renal Cancer Branched Evolution through Replication Stress and Impaired DNA Repair. Oncogene 2015, 34, 5699–5708. [Google Scholar] [CrossRef]
  12. Skucha, A.; Ebner, J.; Grebien, F. Roles of SETD2 in Leukemia-Transcription, DNA-Damage, and Beyond. Int. J. Mol. Sci. 2019, 20, 1029. [Google Scholar] [CrossRef]
  13. O'Roak, B.J.; Vives, L.; Fu, W.; Egertson, J.D.; Stanaway, I.B.; Phelps, I.G.; Carvill, G.; Kumar, A.; Lee, C.; Ankenman, K.; et al. Multiplex Targeted Sequencing Identifies Recurrently Mutated Genes in Autism Spectrum Disorders. Science 2012, 338, 1619–1622. [Google Scholar] [CrossRef]
  14. O’Roak, B.J.; Vives, L.; Girirajan, S.; Karakoc, E.; Krumm, N.; Coe, B.P.; Levy, R.; Ko, A.; Lee, C.; Smith, J.D.; et al. Sporadic Autism Exomes Reveal a Highly Interconnected Protein Network of De Novo Mutations. Nature 2012, 485, 246–250. [Google Scholar] [CrossRef]
  15. Lumish, H.S.; Wynn, J.; Devinsky, O.; Chung, W.K. Brief Report: SETD2 Mutation in a Child with Autism, Intellectual Disabilities and Epilepsy. J. Autism Dev. Disord. 2015, 45, 3764–3770. [Google Scholar] [CrossRef]
  16. Sobreira, N.; Schiettecatte, F.; Valle, D.; Hamosh, A. GeneMatcher: A Matching Tool for Connecting Investigators with an Interest in the Same Gene. Hum. Mutat. 2015, 36, 928–930. [Google Scholar] [CrossRef]
  17. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015, 17, 405–424. [Google Scholar] [CrossRef]
  18. Jumper, J.; Evans, R.; Pritzel, A.; Green, T.; Figurnov, M.; Ronneberger, O.; Tunyasuvunakool, K.; Bates, R.; Žídek, A.; Potapenko, A.; et al. Highly Accurate Protein Structure Prediction with AlphaFold. Nature 2021, 596, 583–589. [Google Scholar] [CrossRef]
  19. Varadi, M.; Anyango, S.; Deshpande, M.; Nair, S.; Natassia, C.; Yordanova, G.; Yuan, D.; Stroe, O.; Wood, G.; Laydon, A.; et al. AlphaFold Protein Structure Database: Massively Expanding the Structural Coverage of Protein-Sequence Space with High-Accuracy Models. Nucleic Acids Res. 2022, 50, D439–D444. [Google Scholar] [CrossRef]
  20. Goddard, T.D.; Huang, C.C.; Meng, E.C.; Pettersen, E.F.; Couch, G.S.; Morris, J.H.; Ferrin, T.E. UCSF ChimeraX: Meeting Modern Challenges in Visualization and Analysis. Protein Sci. 2018, 27, 14–25. [Google Scholar] [CrossRef]
  21. Pettersen, E.F.; Goddard, T.D.; Huang, C.C.; Meng, E.C.; Couch, G.S.; Croll, T.I.; Morris, J.H.; Ferrin, T.E. UCSF ChimeraX: Structure Visualization for Researchers, Educators, and Developers. Protein Sci. 2021, 30, 70–82. [Google Scholar] [CrossRef]
  22. Tlemsani, C.; Luscan, A.; Leulliot, N.; Bieth, E.; Afenjar, A.; Baujat, G.; Doco-Fenzy, M.; Goldenberg, A.; Lacombe, D.; Lambert, L.; et al. SETD2 and DNMT3A Screen in the Sotos-Like Syndrome French Cohort. J. Med. Genet. 2016, 53, 743–751. [Google Scholar] [CrossRef]
  23. van Rij, M.C.; Hollink, I.H.I.M.; Terhal, P.A.; Kant, S.G.; Ruivenkamp, C.; van Haeringen, A.; Kievit, J.A.; van Belzen, M.J. Two Novel Cases Expanding the Phenotype of SETD2-Related Overgrowth Syndrome. Am. J. Med. Genet. A 2018, 176, 1212–1215. [Google Scholar] [CrossRef]
  24. Marzin, P.; Rondeau, S.; Aldinger, K.A.; Alessandri, J.; Isidor, B.; Heron, D.; Keren, B.; Dobyns, W.B.; Cormier-Daire, V. SETD2 Related Overgrowth Syndrome: Presentation of Four New Patients and Review of the Literature. Am. J. Med. Genet. C Semin. Med. Genet. 2019, 181, 509–518. [Google Scholar] [CrossRef]
  25. Suda, K.; Fukuoka, H.; Iguchi, G.; Kanie, K.; Fujita, Y.; Odake, Y.; Matsumoto, R.; Bando, H.; Ito, H.; Takahashi, M.; et al. A Case of Luscan-Lumish Syndrome: Possible Involvement of Enhanced GH Signaling. J. Clin. Endocrinol. Metab. 2021, 106, 718–723. [Google Scholar] [CrossRef]
  26. Wu, Y.; Liu, F.; Wan, R.; Jiao, B. A Novel SETD2 Variant Causing Global Development Delay without Overgrowth in a Chinese 3-Year-Old Boy. Front. Genet. 2023, 14, 1153284. [Google Scholar] [CrossRef]
  27. Xu, L.; Zheng, Y.; Li, X.; Wang, A.; Huo, D.; Li, Q.; Wang, S.; Luo, Z.; Liu, Y.; Xu, F.; et al. Abnormal Neocortex Arealization and Sotos-Like Syndrome–associated Behavior in Setd2 Mutant Mice. Sci. Adv. 2021, 7, eaba1180. [Google Scholar] [CrossRef]
  28. Xie, X.; Wang, S.; Li, M.; Diao, L.; Pan, X.; Chen, J.; Zou, W.; Zhang, X.; Feng, W.; Bao, L. A-TubK40me3 is Required for Neuronal Polarization and Migration by Promoting Microtubule Formation. Nat. Commun. 2021, 12, 4113. [Google Scholar] [CrossRef]
  29. Sánchez-Hernández, L.; Hernández-Soto, J.; Vergara, P.; González, R.O.; Segovia, J. Additive Effects of the Combined Expression of Soluble Forms of GAS1 and PTEN Inhibiting Glioblastoma Growth. Gene Ther. 2018, 25, 439–449. [Google Scholar] [CrossRef]
Figure 1. Variants identified in SETD2. (A) Exons and introns that conform to the SETD2 gene according to the transcript number NM_014159.7. (B) The SETD2 protein, which is organized into different domains: AWS, associated with the SET domain; SET, Lysine N-methyltransferase domain; PS, post-SET domain; LCR, low charge region; and WW, WW domain. Red dots, variants associated with LLS; blue dots, variants associated with RAPAS; and green dots, variant associated with MRD70.
Figure 1. Variants identified in SETD2. (A) Exons and introns that conform to the SETD2 gene according to the transcript number NM_014159.7. (B) The SETD2 protein, which is organized into different domains: AWS, associated with the SET domain; SET, Lysine N-methyltransferase domain; PS, post-SET domain; LCR, low charge region; and WW, WW domain. Red dots, variants associated with LLS; blue dots, variants associated with RAPAS; and green dots, variant associated with MRD70.
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Figure 2. Facial dysmorphic features of several of the individuals reported herein. Patient 1 (A,B), patient 8 (CF), patient 5 (G), patient 6 (H), patient 7 (I,J), patient 10 (K,L), patient 9 (M,N), patient 16 (O,P) and patient 18 (Q).
Figure 2. Facial dysmorphic features of several of the individuals reported herein. Patient 1 (A,B), patient 8 (CF), patient 5 (G), patient 6 (H), patient 7 (I,J), patient 10 (K,L), patient 9 (M,N), patient 16 (O,P) and patient 18 (Q).
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Figure 3. Venn diagram showing the most relevant clinical features of each SETD2- related disorder and their overlap between them. LLS, Luscan–Lumish syndrome; RAPAS, Rabin–Pappas syndrome; and MRD70, intellectual developmental disorder, autosomal dominant 70.
Figure 3. Venn diagram showing the most relevant clinical features of each SETD2- related disorder and their overlap between them. LLS, Luscan–Lumish syndrome; RAPAS, Rabin–Pappas syndrome; and MRD70, intellectual developmental disorder, autosomal dominant 70.
Genes 14 01179 g003
Figure 4. (A) Three-dimensional structure predictions of SETD2, from amino acid 1400 to 1800, based on NM_014159.7. Color key of predicted aligned error min = 20, ad max = 100. (B) Post_SET helical platform, showing the hydrogen bonds interactions occurring between the positions 1718-1740-1744 in purple. (C) Three-dimensional details of the variants (i) p.Glu1718Lys, (ii) p.Ar1740Trp, and (iii) p.Arg1740Gln, respectively.
Figure 4. (A) Three-dimensional structure predictions of SETD2, from amino acid 1400 to 1800, based on NM_014159.7. Color key of predicted aligned error min = 20, ad max = 100. (B) Post_SET helical platform, showing the hydrogen bonds interactions occurring between the positions 1718-1740-1744 in purple. (C) Three-dimensional details of the variants (i) p.Glu1718Lys, (ii) p.Ar1740Trp, and (iii) p.Arg1740Gln, respectively.
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Table 1. Variants detected in the SETD2 gene. Abbreviations: N/E, not evaluated; VUS, variant of uncertain significance; P, pathogenic; LP, likely pathogenic; LLS, Luscan–Lumish syndrome; RAPAS, Rabin–Pappas syndrome; and MRD70, intellectual developmental disorder, autosomal dominant 70. * Current age in years; Allele frequency was estimated from several population pseudo-control databases: gnomAD genomes (v3.0), gnomAD exomes (v3.1), Kaviar (version 160204-Public), Beacon (v2.0), 1000 G, Phase III, and Bravo (TOVMed Freeze 8); § ACMG, American College of Medical Genetics.
Table 1. Variants detected in the SETD2 gene. Abbreviations: N/E, not evaluated; VUS, variant of uncertain significance; P, pathogenic; LP, likely pathogenic; LLS, Luscan–Lumish syndrome; RAPAS, Rabin–Pappas syndrome; and MRD70, intellectual developmental disorder, autosomal dominant 70. * Current age in years; Allele frequency was estimated from several population pseudo-control databases: gnomAD genomes (v3.0), gnomAD exomes (v3.1), Kaviar (version 160204-Public), Beacon (v2.0), 1000 G, Phase III, and Bravo (TOVMed Freeze 8); § ACMG, American College of Medical Genetics.
PatientAge *SexGenomic Coordinate (hg38)cDNA and Protein Location (NM_014159.7)Exon/IntronMutation TypeInheritancePopulation Frequency CADD ScoreACMG Prediction §PhenotypeReference
114Malechr3:47116623c.4586G>C (p.Cys1529Ser)4MissenseDe novo-33LPLLSThis study
213Malechr3:47122021c.2598_2615del (p.His866_Tyr871del)3In-frame deletionInherited from father0.00000657-VUSLLSThis study
317Malechr3:47163906c.19C>T (p.Gln7Ter)1NonsenseN/E0.00024435VUSLLSThis study
416Malechr3:47163906c.19C>T (p.Gln7Ter)1NonsenseN/E0.00024435VUSLLSThis study
521Femalechr3:47163906c.19C>T (p.Gln7Ter)1NonsenseInherited from mother0.00024435VUSLLSThis study
653Femalechr3:47163906c.19C>T (p.Gln7Ter)1NonsenseN/E0.00024435VUSLLSThis study
726Femalechr3:47056863c.6921dupT (p.Val2308CysfsTer61)15FrameshiftN/E--PLLSThis study
829Malechr3:47116749c.4457_4460del (p.Lys1486ArgfsTer28)4FrameshiftN/E--PLLSThis study
99Femalechr3:47057485c.6299A>G (p.Asp2100Gly)15MissenseN/E0.0000065728.1VUSLLSThis study
108Malechr3:47121949c.2687C>T (p.Thr896Ile)3MissenseDe novo-16.11VUSLLSThis study
114Femalechr3:47122915 c.1717_1720del (p.Phe573ValfsTer5)3FrameshiftDe novo--PLLSThis study
125Femalechr3:47121197c.3439C>T (p.Gln1147Ter)3NonsenseDe novo-36PLLSThis study
136Femalechr3:47088238c.5152G>A (p.Glu1718Lys)10MissenseDe novo-28.5VUSRAPASThis study
1415Malechr3:47120867c.3769A>T (p.Asn1257Tyr)3MissenseInherited from father0.0000065723.9VUSLLSThis study
1513Malechr3:47120672c.3964C>T (p.Arg1322Ter)3NonsenseDe novo-36PLLSThis study
1611Malechr3:47124539c.97G>A (p.Glu33Lys)3MissenseInherited from mother-25.9VUSLLSThis study
1713Malechr3:47017164c.7624G>A (p.Glu2542Lys)21MissenseDe novo-27.5VUSLLSThis study
184Femalech3:47057031c.6753C>G (p.Asp2251Glu)15MissenseDe novo-15.7VUSRAPASThis study
1915Malechr3:47123454c.1182T>A (p.Cys394Ter)3NonsenseInherited from father-35LPLLS[13]
2015Malechr3:47163906c.19C>T (p.Gln7Ter)1NonsenseInherited from mother0.00024435VUSLLS[13]
2126Malechr3:47124515c.121A>T (p.Ile41Phe)3MissenseDe novo-17.7VUSLLS[13]
2226Femalechr3:47057443c.6341delA (p.Asn2114IlefsTer33)15FrameshiftDe novo--PLLS[13]
2326Femalechr3:47123816c.820C>T (p.Gln274Ter)3NonsenseN/E-34PLLS[2]
2429Malechr3:47084336c.5444T>G (p.Leu1815Trp)12MissenseDe novo-28LPLLS[2]
2524Femalechr3:47122608c.2028delT (p.Pro677LeufsTer19)3FrameshiftDe novo--PLLS[15]
2618Malechr3:47086306c.5285_5286delAC (p.His1762LeufsTer26)11FrameshiftDe novo--PLLS[22]
279Malechr3:47122969c.1647_1667delinsAC (p.Asp549GlufsTer24)3FrameshiftDe novo--PLLS[23]
2827Femalechr3:47057009c.6775delG (p.Val2259CysfsTer50)15FrameshiftDe novo--PLLS[23]
296Femalechr3:47120360c.4276A>T (p.Lys1426Ter)3NonsenseN/E-37PLLS[24]
308Femalechr3:47103389c.4874G>A (p.Arg1625His)7MissenseN/E-29VUSLLS[24]
3111Malechr3:47057313c.6471T>A (p.Tyr2157Ter)15NonsenseDe novo-36PLLS[24]
3213Malechr3:47101476c.4997A>G (p.Tyr1666Cys)8MissenseDe novo-31LPLLS[24]
3322Malechr3:47124400c.236T>A (p.Leu79His)3MissenseDe novo-25.1VUSLLS[25]
346Malechr3:47113875c.4715+1G>Aintron 5SplicingDe novo-34PLLS[3]
356Femalechr3:47121451c.3185C>T (p.Pro1062Leu)3MissenseDe novo-26.2VUSLLS[3]
36–47--chr3:47088172c.5218C>T (p.Arg1740Trp)10MissenseDe novo-32LPRAPAS[4]
48–50--chr3:47088171c.5219G>A (p.Arg1740Gln)10MissenseDe novo-28.5VUSMRD70[4]
513Mchr3: 47083945c.5835_5836insAGAA (p. Ala1946ArgfsTer3)12FrameshiftDe novo--PLLS[26]
Table 2. Clinical features of reported patients. Detailed description of the clinical features at its frequency in the entire set of patients analyzed. Clinical features are standardized according to the human phenotype ontology (HPO).
Table 2. Clinical features of reported patients. Detailed description of the clinical features at its frequency in the entire set of patients analyzed. Clinical features are standardized according to the human phenotype ontology (HPO).
Clinical Features P1 P2P3P4P5P6P7P8P9P10P11P12P13P14P15P16P17P18No. Patients % Patients
HP:0000256Macrocephaly 1161.1
HP:0001249Intellectual disability 950.0
HP:0001548Overgrowth 844.4
HP:0001263Developmental delay 844.4
HP:0001270Motor delay 844.4
HP:0011220Prominent forehead 738.9
HP:0000750Speech delay 738.9
HP:0000729Autism spectrum disorder 633.3
HP:0000337Broad forehead 633.3
HP:0001252Hypotonia 633.3
HP:0000348Scoliosis 527.8
HP:0001627Congenital heart defect 527.8
HP:0000483Astigmatism 422.2
HP:0000348High forehead 422.2
HP:0001513Obesity 422.2
HP:0000098Tall stature 422.2
HP:0000924Abnormality of the skeletal system 422.2
HP:0009890High anterior hairline 422.2
HP:0000739Anxiety 316.7
HP:0007018Attention deficit hyperactivity disorder 316.7
HP:0000708Behavioral abnormality 316.7
HP:0002007Frontal bossing 316.7
HP:0001999Abnormal facial shape 211.1
HP:0000077Abnormality of the kidney 211.1
HP:0001176Long/Large hands 211.1
HP:0003764Nevus 211.1
HP:0000486Strabismus 211.1
HP:0000316Hypertelorism 211.1
HP:0000252Microcephaly 211.1
HP:0001250Seizure 211.1
HP:0410263Brain imaging abnormality 211.1
HP:0000119Abnormality of genitourinary system 15.6
HP:0005616Advanced bone age 15.6
HP:0002119Ventriculomegaly 15.6
HP:0011427Enlarged cisterna magna 15.6
HP:0001601Laryngomalacia 15.6
HP:0010535Sleep apnea 15.6
HP:0000278Retrognathia 15.6
HP:0000464Abnormality of the neck 15.6
HP:0007763Retinal telangiectasia 15.6
Table 3. Frequency of clinical features in the different groups of patients with variants in the SETD2 gene. LLS, Luscan–Lumish syndrome; RAPAS, Rabin–Pappas syndrome; and MRD70, Intellectual developmental disorder, autosomal dominant 70.
Table 3. Frequency of clinical features in the different groups of patients with variants in the SETD2 gene. LLS, Luscan–Lumish syndrome; RAPAS, Rabin–Pappas syndrome; and MRD70, Intellectual developmental disorder, autosomal dominant 70.
HPO Terms Clinical FeaturesLLS PatientsRAPAS PatientsMRD70 Patients
No. Patients % Patients No. Patients % Patients No. Patients % Patients
HP:0000256Macrocephaly2367.60000
HP:0001548Overgrowth1750.00000
HP:0000729Autism spectrum disorder1750.00000
HP:0001249Intellectual disability1647.1141003100
HP:0000750Speech delay1544.1003100
HP:0001263Developmental delay1338.2141003100
HP:0011220Prominent forehead1132.417.100
HP:0001513Obesity1132.40000
HP:0001270Motor delay1132.414100266.7
HP:0000098Tall stature1029.40000
HP:0007018Attention deficit hyperactivity disorder926.50000
HP:0000708Behavioral abnormality926.50000
HP:0009890High anterior hairline823.517.100
HP:0000388Otitis media823.50000
HP:0000337Broad forehead617.617.100
HP:0001833Large feet617.600.000
HP:0001252Hypotonia514.714100266.7
HP:0000483Astigmatism514.70000
HP:0001176Long/Large hands514.70000
HP:0000718Aggressive behavior514.70000
HP:0000348High forehead514.70000
HP:0000494Downslanted palpebral fissures514.70000
HP:0000316Hypertelorism411.81285.700
HP:0002007Frontal bossing411.817.100
HP:0000278Scoliosis411.8857.100
HP:0000307Pointed chin411.800133.3
HP:0001627Congenital heart defect 411.81285.700
HP:0000739Anxiety411.80000
HP:0003764Nevus411.80000
HP:0000276Long face411.80000
HP:0002719Recurrent infections411.8214.300
HP:0001250Seizures38.8857.100
HP:0000924Abnormality of the skeletal system25.914100266.7
HP:0000272Malar flattening25.900133.3
HP:0007360Cerebellar hypoplasia12.91285.700
HP:0007370Hypoplasia of the corpus callosum12.9964.300
HP:0000405Conductive hearing impairment12.9750.000
HP:0001344Absent speech12.91410000
HP:0000252Microcephaly001410000
HP:0011968Feeding difficulties001392.800
HP:0001531Failure to thrive in infancy001285.700
HP:0000347Micrognathia001285.700
HP:0000119Abnormality of the genitourinary system001285.700
HP:0002553Highly arched eyebrow001178.600
HP:0000455Broad nasal tip00964.3133.3
HP:0002791Hypoventilation00964.300
HP:0009765Low-hanging columella00964.300
HP:0000431Wide nasal bridge00964.300
HP:0007763Retinal telangiectasia00964.300
HP:0002902Hyponatremia00857.100
HP:0000327Hypoplasia of the maxilla00857.100
HP:0012110Hypoplasia of the pons00857.100
HP:0000629Periorbital fullness00857.100
HP:0007763Retinal telangiectasia00857.100
HP:0012745Short palpebral fissure00857.100
HP:0000582Upslanted palpebral fissures00535.7133.3
HP:0000278Retrognathia0017.1266.7
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Parra, A.; Rabin, R.; Pappas, J.; Pascual, P.; Cazalla, M.; Arias, P.; Gallego-Zazo, N.; Santana, A.; Arroyo, I.; Artigas, M.; et al. Clinical Heterogeneity and Different Phenotypes in Patients with SETD2 Variants: 18 New Patients and Review of the Literature. Genes 2023, 14, 1179. https://doi.org/10.3390/genes14061179

AMA Style

Parra A, Rabin R, Pappas J, Pascual P, Cazalla M, Arias P, Gallego-Zazo N, Santana A, Arroyo I, Artigas M, et al. Clinical Heterogeneity and Different Phenotypes in Patients with SETD2 Variants: 18 New Patients and Review of the Literature. Genes. 2023; 14(6):1179. https://doi.org/10.3390/genes14061179

Chicago/Turabian Style

Parra, Alejandro, Rachel Rabin, John Pappas, Patricia Pascual, Mario Cazalla, Pedro Arias, Natalia Gallego-Zazo, Alfredo Santana, Ignacio Arroyo, Mercè Artigas, and et al. 2023. "Clinical Heterogeneity and Different Phenotypes in Patients with SETD2 Variants: 18 New Patients and Review of the Literature" Genes 14, no. 6: 1179. https://doi.org/10.3390/genes14061179

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