Abstract
Objective
iPPSD2 (which includes PHP1A and PPHP/POH) is a rare inherited autosomal dominant endocrine disorder caused by inactivating GNAS pathogenic variants. A high percentage of de novo cases has been suggested. In rare cases, parental mosaicism has been described, but its real frequency is unknown.
Design
A retrospective study including a series of 95 genetically confirmed iPPSD2 probands.
Methods
The frequency of de novo cases was evaluated and the distribution of the type of variants was compared according to the type of inheritance. The putative involved allele was determined by reverse transcriptase PCR (RT-PCR) or allele specific oligonucleotide RT-PCR (ASO-RT-PCR). The possibility of GNAS mosaicism was studied by next-generation sequencing (NGS) on the corresponding parental DNA.
Results
In 41 patients the variant was of de novo origin and in 24 the origin could not be established. In both cases 66.67% of variants generated a truncated or absent protein whereas the rest of the variants were missense or in-frame deletion/duplication. Parental origin was studied in 45 of those patients and determined in 35. Curiously, the percentage of de novo variants at the paternal allele was higher than when paternally inherited (31.1% vs 6.67%). NGS detected mosaicism in three independent families: one from paternal DNA (allelic ratio 10%) and two from maternal DNA (allelic ratio 10% and 2%).
Conclusion
De novo pathogenic variants are frequent in iPPSD2 (around 45%). Parental mosaicism is infrequent (8.11%) but should be analyzed with NGS, taking into account its importance in genetic counselling.
Keywords: iPPSD2, mosaicism, pseudohypoparathyroidism, NGS, next generation sequencing, parental origin, de novo
1 Introduction
Pseudohypoparathyroidism (PHP) englobes a heterogeneous group of rare (epi)genetic diseases characterized by kidney resistance to the action of parathyroid hormone (PTH), leading to the presence of hypocalcemia and hyperphosphatemia. PTH resistance is also related with some skeletal dysplasias and osseous abnormalities (1). In some cases, resistance to other hormones whose signaling pathways are mediated by the stimulating alpha subunit of the heterotrimeric G protein (Gsα) can also be detected, as is the case of the thyroid stimulating hormone (TSH), growth hormone-releasing hormone (GHRH) and gonadotropins (Gn) (2).
PHP and other related disorders share the same signaling cascade, so there are some overlapping features between them, such as the Albright hereditary osteodystrophy (AHO) phenotype, brachydactyly and/or hormone resistance (3). Because of that and the difficulty to establish a differential diagnosis, in 2016 the EuroPHP network proposed a new classification that encompasses these diseases: inactivating parathyroid hormone (PTH)/PTH-related protein (PTHrP) signaling disorder (iPPSD) followed by a numbering for specific subtypes that allows the description of both clinical and molecular features (4).
According to this new classification, nowadays PHP is now known as iPPSD2 and 3. Heterozygous inactivating mutations involving the GNAS exons 1–13, that encode Gsα, cause iPPSD2. When mutations occur in the maternal allele, it gives rise to what was classically named as pseudohypoparathyroidism type 1A (PHP1A, OMIM #103580) (5), associated not only with hormone resistance but also with AHO, characterized by round face, a thickset and short stature and brachydactyly. However, when the pathologic variants are found in the paternal allele, it produces what was known as pseudopseudohypoparathyroidism (PPHP, OMIM #612463) where patients do not generally develop multihormonal resistance but are reported to have AHO with short stature (6) and/or variable degrees of ectopic ossifications that may evolve into progressive osseous heteroplasia (POH OMIM #166350) (7). Recent reports show that some patients with PPHP can also develop resistance to PTH (8).
GNAS gene lays in a complex locus found in the long arm of chromosome 20 (20q13.2-20q13.3). This locus encodes various transcripts, generated through alternative first exons that splice to the common exon 2 of GNAS gene (9–11). Besides, the first alternative exons are regulated by differentially methylated regions (DMRs). The imprinting of GNAS-NESP:TSS-DMR is stablished in the paternal allele, so the expressed allele is the maternal one. Conversely, in GNAS-AS1:TSS-DMR, GNAS-XL:Ex1-DMR and GNAS A/B:TSS-DMR, the methylations occurs in the maternal allele and the paternal one is expressed (12–16). However, the first exon of the Gsα is not regulated by genomic imprinting and its expression is biallelic in most tissues, even if in some of them it is predominantly maternal (17–20) ( Supplementary Figure ).
Approximately the 70-80% of iPPSD2 cases are caused by heterozygous inactivating alterations (point variants or complete or partial gene/locus deletions) of GNAS. In two-thirds of these patients, the mutation occurs de novo or the parental origin cannot be determined (21). In the remaining 20-30% of the cases, it is not possible to identify the underlying molecular defect (22). Genetic mosaicism may be one of the causes of the pathology in that sort of patients, as in the last years, it has been described as the cause of many different genetic disorders (23).
Thus, the identification of mosaicism is crucial in establishing a disease diagnosis, assessing recurrence risk, and/or genetic counselling. Next-generation sequencing (NGS) with deep sequence coverage improves sensitivity and allows for accurate quantification of the level of mosaicism. NGS in combination with a suitable analysis pipeline enables the detection of low-level mosaicism that could be undetectable by conventional Sanger sequencing (24, 25).
The main objective of this work is to stablish de possibility of mosaicism in progenitors of patients with iPPSD2 caused by variants of de novo or unknown origin. This would help in genetic counselling giving information about the risk of recurrence and to get an idea of the possibility of this option for genetically undiagnosed patients.
2 Materials and methods
2.1 Sample selection
We included all iPPSD2 probands and parents (when available) referred between January 2010 and June 2022 to the Molecular (epi)Genetics Laboratory of the Araba University Hospital – Bioaraba National Research Institute (Vitoria-Gasteiz, Spain) for molecular analysis and harboring a GNAS pathogenic variant.
2.2 Nucleic acid extraction
Genomic DNA of the patient and parents was extracted from peripheral blood or buccal swabs using the QIAamp DNA Mini Kit (QIAGEN, Hilden, Germany), following the manufacturer’s instructions. RNA was obtained from peripheral blood or lymphocyte pellet of the index cases, using QIAamp RNA Blood Mini Kit (Qiagen). In some cases, PAXgene Blood RNA Kit (Qiagen) was used following manufacturer’s instructions. Clinical and molecular characteristics are described in Supplementary Table 1 .
2.3 Sanger sequencing
The presence of point variants in the parents’ DNA was investigated by Sanger sequencing of GNAS exons and flanking intronic sequences from genomic DNA as previously described (18). Variants were considered as inherited if the mother or the father was heterozygous for the GNAS pathogenic variant; de novo origin was determined as confirmed when both parental DNA were available and were non-carriers of the GNAS pathogenic variant; and the variant was classified as of unknown origin if both parental samples were unavailable or the only available parental sample did not carry it. In the case of non-inherited long deletion(s) encompassing the DMRs, the parental origin was inferred from the methylation pattern.
2.4 Identification of parent-of-origin allele
When the variants were located at exon 2 to 13 (NM_001077488), the design took advantage of the fact that the GNAS locus is imprinted, and gives rise to different parent-specific transcripts, such as paternally expressed A/B and maternally expressed NESP55 ( Supplementary Figure ). So, as it was described before (26), to specifically amplify the paternal allele the forward primer was designed to anneal in the A/B transcript. On the other hand, for amplifying the maternal allele, the forward primer was designed to hybridize in NESP55 transcript ( Supplementary Table 2 ). However our initial results revealed that NESP55 expression is biallelic (at least in blood), so when the RT-PCR with the FAB_cDNA and R13_cDNA primers gives no amplification, we inferred the variant was on the maternal allele.
For variants located on the exon 1 of GNAS, as previous approach is not useful because it skips this exon, when the parents’ and index’s genotype of the SNP rs7121 (located at GNAS exon 5) was informative, an allele-specific oligonucleotide (ASO)-RT-PCR was designed ( Supplementary Table 3 ). The same approach was also used (when possible) for those cases in which the FAB_cDNA and R13_cDNA approach was not conclusive.
In all the cases, RT-PCRs were performed with One-Step RT-PCR kit (Qiagen) following the manufacturer’s instructions. The thermocycling was 50° C (30 min); 95° C (15 min); 40x {94° C (1 min); 62° C (1 min); 72° C (1min)}; 72°C (10 min); 4° C (∞). In case of not obtaining enough RT-PCR product, a nested PCR was run with the most convenient combination of primers ( Supplementary Table 2 ).
After the amplification, amplicon purification by ExoSAP-IT® and Sanger sequencing was performed.
2.5 Next generation sequencing
We designed and validated a custom panel of 38 genes/regions (119,748 bp) related with differential diagnoses of PHP (PHP-like_v1). The study of this panel was conducted on the genomic DNA of the corresponding parent(s) using Nextera Flex for the enrichment method (Illumina Inc., San Diego, CA, USA) and sequenced in an Illumina’s MiniSeq platform High Output (7.5 Gb), at high coverage (mean region coverage depth of >500 x) and with a 150 bp pair-end strategy (Illumina Inc.). The MiniSeq integrated DNA Enrichment Analysis Module was used for secondary analysis (alignment with BWA 0.7.7 on GRCh37/hg19 and VCF and bam/bai files were obtained with GATK Variant Caller v1.6-23 and SAMtools v0.1.19, respectively). Downstream tertiary bioinformatic analysis of VCF files (annotation, filtering, and variant prioritization) and bam files (for CNV detections) was performed with the help of commercial software VarSeq V2.2.1 (Golden Helix, Bozeman, MT, USA). The parameters used for the filtering and prioritization were as follows: quality assessment (Q > 30; mean coverage > 50x). Bam files were also visualized with Integrative Genomics Viewer (IGV) to check for the presence of the variant already identified in the corresponding index patient.
The sample of patient PHP1125-M described before as being a mosaic carrier of a GNAS pathogenic variant (26), was used as positive control.
2.6 Statistical analysis
We compared the type of variants between the patients with an inherited pathogenic variant and the patients with a de novo causative variant using Chi-squared or Fisher’s exact test (depending on the sample size). A p value ≤0.05 was considered significant.
Pathogenic variants were classified into two groups: variants leading to a truncated protein (nonsense, frameshift, splice-site variants); and variants non-affecting the reading frame (missense, insertion/deletion in frame, whole gene deletions). The comparison was made first for confirmed inheritance status, and deduced involved allele.
3 Results
3.1 Estimation of de novo pathogenic variants frequency
In a total cohort of 95 patients with an identified variant affecting GNAS gene, 28 inherited the variant from their mother, 2 from their father, in 41 patients was of de novo origin and in the remaining 24 the origin could not be stablished due to the lack of one or both parental samples ( Supplementary Table 1 ). In five cases the patients presented gross deletions affecting part of the whole GNAS gene (2 maternally inherited, 1 paternally inherited, 1 de novo and 1 of unknown origin). The parental origin of the last two deletions was inferred as being a de novo variant located on the maternal allele whereas the other patient carried the deletion in her paternal allele. Thus, in our series the frequency of confirmed de novo pathogenic variants, where both parents confirmed to be non-carriers, was estimated at 43.16% and the frequency of putative (those confirmed plus those of unknown origin) de novo pathogenic variants was estimated at 68.4%.
The parental origin and mutation type are shown in Table 1 . Most of the variants (64.2%) generated a truncated or absent protein whereas a smaller percentage (36.8%) just changed or included new aminoacids without affecting the reading frame. This distribution could be observed independently of the type of inheritance, with the exception of patients who inherited the variant from their father (only two cases).
Table 1.
Missense | In-frame dup/del | Nonsense | Frameshift | Splicing | Gross deletion | Inversion | Total | |
---|---|---|---|---|---|---|---|---|
Maternal | 12 (42.9 %) | 0 | 3 (10.7 %) | 8 (28.6 %) | 3 (10.7 %) | 2 (7.1 %) | 0 | 28 (29.5 %) |
Paternal | 0 | 1 (50 %) | 0 | 0 | 0 | 1 (50 %) | 0 | 2 (2%) |
De novo | 11 (26.8 %) | 2 (4.9%) | 6 (14.6 %) | 15 (36.6 %) | 5 (12.2 %) | 1 (2.45 %) | 1 (2.45 %) | 41 (43.2 %) |
Unknown | 8 (33.33 %) | 0 | 5 (20.83 %) | 8 (33.33 %) | 2. (8.33 %) | 1 (4.18 %) | 0 | 24 (25.3 %) |
95 |
The percentage of each type of variant has been calculated for the different variants according to inheritance. The percentages of the variants according to their inheritance have been calculated in comparison with the total.
3.2 Identification of the involved parental allele
In 9 patients with de novo point variant and 11 patients with a variant of unknown origin we were not able to obtain fresh sample for the present study, so the studies were developed in the rest of the cohort ( Figure 1 ).
After RT-PCR analyses of the 31 patients with a point variant of de novo origin, we were able to establish that in two cases it was on the maternal allele, in 11 cases on the paternal one, in 11 cases it was not detected on the paternal allele, so we inferred it was on the maternal one, and we could not resolve the involved allele in 7 of the cases (in two patients the variant was at exon 1) ( Table 2 ).
Table 2.
Missense | In-frame dup/del | Nonsense | Frameshift | Splicing | Gross deletion | Total | ||
---|---|---|---|---|---|---|---|---|
De novo | Maternal allele | 3 (21.4%) | 0 | 0 | 9 (64.3%) | 1 (7.15%) | 1 (7.15 %) | 14 (43.7% |
Paternal allele | 6 (54.5%) | 1 (9.1%) | 1 (9.1%) | 2 (18.2%) | 1 (9.1%) | 0 | 11 (34.4%) | |
Unsolved | 0 | 0 | 3 (42.9%) | 2 (28.6 %) | 2 (28.6%) | 0 | 7 (21.9%) | |
32 | ||||||||
Unknown origin | Maternal allele | 2 (28.6%) | 0 | 1 (14.3%) | 3 (42.9%) | 1 (14.3%) | 0 | 7 (53.8%) |
Paternal allele | 2 (66.67%) | 0 | 0 | 0 | 0 | 1 (33.33%) | 3 (23.1%) | |
Unsolved | 1 (33.33%) | 0 | 1 (33.33%) | 0 | 1 (33.33%) | 0 | 3 (23.1%) | |
13 | ||||||||
Total | Maternal allele | 5 (23.8%) | 0 | 1 (4.8%) | 12 (57.1%) | 2 (9.5%) | 1 (4.8%) | 21 (46.7%) |
Paternal allele | 8 (57.2%) | 1 (7.1%) | 1 (7.1%) | 2 (14.3%) | 1 (7.1%) | 1 (7.1%) | 14 (31.1% | |
Unknown | 1 (10%) | 0 | 4 (40%) | 2 (20%) | 3 (30%) | 0 | 10 (22.2%) | |
45 |
Variants located in the maternal allele were considered to be those that, after RT-PCR studies, were confirmed and also those cases in which it was ruled out that they were found in the paternal allele. In the case of gross deletions, the parental origin was determined by the methylation pattern observed after MS-MLPA study. The percentage of variant type has been calculated for the different variants depending on the allele involved. The percentages of the variants according to the involved allele have been calculated in comparison with the total of each subgroup.
Regarding the 12 cases with a point variant of unknown origin due to lack of the sample of one or both parents, two of the variants were on the paternal allele, 7 were inferred to be on the maternal allele and in 3 cases we couldn’t elucidate the involved allele (in two patients the variant was at exon 1).
Both in the case of variants located in the maternal allele and in those in which the parental origin could not be identified, most of them generated truncated protein. However, in the case of variants located on the paternal allele, slightly more than half were missense variants or variants that did not alter the reading frame.
When comparing the results of patients who inherited the variant from a parent with those who inherited it de novo, we observed that there was a higher percentage of patients with the de novo variant in their paternal allele (31.1%; or 14.5% if compared with the whole cohort) than those who inherited it from their carrier father (2%). However, we found no significant differences in the distribution of the type of variants in the parental alleles depending on whether or not they had been inherited.
Regarding clinical features, patients with the variant in the paternal allele (regardless of whether it was inherited or not) did not present resistance to PTH, while this was present in all patients with the alteration in the maternal allele, regardless of the type of inheritance (we lacked this data in one of the patients).
3.3 Estimation of mosaicism with NGS analysis
Once the affected allele was known, the NGS study of the corresponding progenitor’s sample was performed. That is, if the proband presented the variant in their maternal allele, the genomic DNA of the mother was studied by NGS. In the cases where the allele involved could not be resolved, samples from both parents were studied (if available) (raw data are available at the European Nucleotide Archive, submission number ERP141662). A total of 16 needed parental samples were lacking. After studying all the 37 samples of the progenitors, mosaicism was detected in two of them (besides the positive control). In the father of family PHP1191, NGS analysis revealed the presence of the pathogenic variant c.659T>C with an allele ratio of 10% in the leukocytes DNA, whereas in the mother of family PHP1320 the c.351dupC was detected in 2.4% of the leukocytes’ DNA and in less than 1% in buccal swab. The blood samples from both members were screened again by direct Sanger sequencing for the GNAS pathogenic variants. A small peak was observed in the chromatogram of the PHP1191-P’s leukocytes DNA but not in PHP1320-M’s DNA ( Figure 2 ). Taking this into account, the percentage of mosaicism in our cohort is 8.11%.
Discussion
Decreased expression or activity of Gsα, the α subunit of the stimulatory G protein is the most frequent cause of PHP (2). The main subtypes of PHP are caused either by de novo or autosomal dominantly inherited inactivating genetic mutations (known as PHP1A/PPHP or iPPSD2 according to the new classification (4)), or epigenetic, sporadic, or genetic-based alterations within or upstream of GNAS (PHP1B/iPPSD3) (4, 21). iPPSD2 patients carrying either point or structural pathogenic variants on the maternal allele show AHO with resistance to multiple hormones (i.e, PHP1A), whereas when present in the paternal allele, the same mutations lead to AHO usually in the absence of endocrine abnormalities (PPHP) or may lead to heterotopic ossifications progressively extending into skeletal muscle and deep connective tissues (POH) (2). So, as the clinical implications may be different depending on the parental origin of the variant, and some of them as PTH resistance and brachydactyly evolves with time, parental testing is indicated when a genetic alteration is detected. Mutations can be either inherited or de novo, and both types have been published as presenting similar frequencies (around 30-35%) (21). However, in the present series, the percentage of de novo variants were slightly higher (43.2%).
Evaluating their frequency by inheritance pattern and mutation type, we observed that, in contrast to other series (21, 28–30), inheritance pattern affected the prevalence or distribution of the mutation types, even not significantly. As expected, most of the pathogenic variants were found in the maternal allele, both in de novo and inherited cases. This is to be expected given that the clinic is much more overt in these patients and, therefore, our series is more abundant in patients with PHP1A/iPPSD2mat than in patients with PPHP/iPPSD2pat. A higher percentage of maternally inherited missense variants was observed, compared to the typically more frequent variants that generate truncated proteins observed in the case of de novo variants or variants of unknown origin. Interestingly, these percentages are reversed when, after determining the carrier allele in cases of de novo variants or variants of unknown origin, we re-evaluate the effect of the allele involved and the type of variant. In these cases, missense variants are especially frequent in the paternal allele. Also very striking is the high percentage of variants that we detect in the paternal allele in de novo cases (34.4%) or variants of unknown origin (23.1%) compared to the few cases that inherit the variant from their father (2%). These results are in concordance with previous papers referring that the risk of de novo mutation increases with paternal age (31, 32) due to their mitotic origin and the fact that additional mitoses are experienced by germ cells as fathers age increases (33).
Confirmation of which allele carries the alteration is, as we have mentioned, essential for the correct management of the patient. In our series we have confirmed that the clinical manifestations presented by the patients are concordant with those described for patients with the variant in their maternal or paternal allele (2) regardless of whether it was inherited or de novo. That is, patients with iPPSD2mat presented PTH resistance and manifestations of AHO regardless of whether the alteration had been inherited or not. However, in patients with variants in their paternal allele (iPPSD2pat), such resistance was absent.
Geneticists usually use the value of <1% to estimate the risk of recurrence for de novo mutations (34). However, with the implementation of NGS it has become clear that there is a higher than previously recognized contribution of “pre‐germline” mutational events in parents who themselves are mosaic and usually clinically unaffected (32, 33). Failure to identify low levels of mosaic mutations may lead to the misinterpretation of genetic testing results and to an incorrect genetic counselling. Specifically, a patient can be genetically underdiagnosed or their causative molecular alterations underestimated (35). Regarding familial implications inherited cases may be misinterpreted as sporadic due to low-level mosaicism in the carrier parents (36, 37), resulting in incorrect recurrence-risk assessment (33). So, bearing in mind the high percentage of de novo and unknown origin variants identified in our series and knowing that mosaicism for point mutations (36–38), long deletion (39) and chromosomal mosaicism had already been described (40) in iPPSD associated with GNAS region (even employing classical genetic analysis techniques) we considered essential the use of the NGS. Indeed, taking into account our previous experience, NGS enabled the detection of mosaicism in one of the progenitors of a patient who had been diagnosed as carrier of a variant of de novo origin (26).
As mentioned NGS technology allows for very high-fold coverage of sequenced fragments and the detection of low level mosaic mutations often classified as background noise and missed in Sanger sequencing (24). We use deep targeted NGS (average number of reads >500X) (41, 42) to enhance sensitivity and accuracy of the detection of known variants at the GNAS gene. In addition, we selected the potential carrier parent based on the identification of the allele presenting the alteration in the proband. Following this approach, we detected 8.11% germline mosaicism among the parents analyzed in our series, being two mothers and one father. One of the mothers had been previously described and, with 10% mosaicism, presented clinical features compatible with POH (26). The father with the same percentage of mosaicism, however, had no manifestations. In the case of the second mother, her percentage of mosaicism was much lower (2% in lymphocytes and about 1% in buccal mucosal cells), and she was also asymptomatic. In these cases of such low percentages of mosaicism, we considered essential to analyze independent tissues to validate the findings due to the high rate of sequencing errors in NGS, that cannot be discarded when searching for mosaicism.
The main limitation of this retrospective study is that only peripheral DNA was available for most of the parent patients tested. The availability of tissues of different embryonic origin (blood, saliva, dermal fibroblasts, and oral mucosa) would have helped to identify the presence of mosaicism in other tissue when not detected at lymphocytes’. Therefore, and although the series analyzed is relatively small, it is possible that the parental mosaicism associated with GNAS alterations is even greater than the identified 8.1%. We believe it would be important to replicate these studies in other series in order to estimate this percentage as it could provide precisions for transmission risk to offspring in genetic counseling. Besides, the availability of different tissues may also help to establish a correlation between the extent of the mosaic and the severity of the phenotype (if exists). Likewise, we should not lose sight of the fact that these results open the possibility that GNAS mosaicism may be the cause of iPPSD2 in patients in whom the mutation has not been identified by Sanger sequencing.
So, in conclusion, when an apparently de novo mutation is identified in a family, genetic mosaicism cannot be discarded as an underlying mechanism of the disease. The use of more sensitive techniques as NGS is essential for accurate recurrence-risk estimates as it allows the detection (or discard the presence) of low-level mosaic mutations. The identification of mosaic mutations in the proband or their parents is important in recurrence- and transmission-risk assessment. In addition to genetic counseling, the correct detection of a mosaic mutation is essential for disease diagnosis and management in iPPSD2 patients.
Data availability statement
The data presented in the study are deposited in the European Nucleotide Archive (ENA) repository (https://www.ebi.ac.uk/ena), accession number PRJEB56694.
Ethics statement
The studies involving human participants were reviewed and approved by Ethics committee for clinical research of Euskadi-Basque Country (CEIC-E). Written informed consent to participate in this study was provided by the participants’ legal guardian/next of kin.
Author contributions
YV, AP, and GPN conceived and designed the study. Members of the Spanish Network for Imprinting Disorders provided blood samples, data acquisition, and clinical details of the patients. YV, AP, and AM-A, performed the genetic analysis. YV, AP, AM-A, and GPN analyzed and interpreted the data. YV, AP, and GPN wrote the manuscript. All authors reviewed and criticized it, approved the final version as submitted, and agreed to be accountable for all.
Acknowledgments
The authors would like to thank Karol Jimenez and Julene Escudero for technical assistance. We thank the patients and parents who participated in the study. Members of the Spanish Network for Imprinting Disorders include the following institutions: Complejo Hospitalario de Navarra, Navarra (Anda E., Berrade S., Ramos-Arroyo M. A., Rodríguez Erdozain R., and Chueca MJ); Complejo Hospitalario de Toledo, Toledo (Vicente A.); Consorcio Hospital General de Valencia, Valencia (Rodriguez-Lopez R. and Alcon-Saez JJ); Corporacio de Salut del Maresme i la Selva, Barcelona (Moreno A.); Corporació Sanitària Parc Tauli, Barcelona (Guitart M.); Hospital Clínico San Carlos, Madrid (Oancea-Ionescu R., Perez Rodriguez O., Cotarelo Pérez MC and Fenollar MM); Hospital da Barbanza, A Coruña (Molinos Castro S.); Hospital Ernest Lluch Martin en Calatayud, Zaragoza (Meriño E.); Hospital General de Castellón, Castellón (Salvador-Sanchis J. L.); Hospital General Universitario de Alicante, Alicante (López Mondejar P. and Zapico M.); Hospital General Universitario de Ciudad Real, Ciudad Real (Palomo E. and Rozas Moreno P.); Hospital General Universitario de Elda, Alicante (Aleixandre-Blanquer F.); Hospital Infantil Universitario Niño Jesús, Madrid (Argente Oliver J., Martos G., Pozo J., Rubio-Cabezas O. and Ortiz NV); Hospital Sant Joan de Déu, Barcelona (Bilbao Gasso L., Marti G., Martorell L., Cardona R., Suarez-Ortega L., Zambudio Sert S. and Ramon Krauel M.); Hospital Universitari de Girona Doctor Josep Trueta, Girona (Obon M.); Hospital Universitari Doctor Pese, Valencia (Sanchis Calvo A.); Hospital Universitari i Politecnic La Fe de Valencia, Valencia (Moreno Macian F.); Hospital Universitario 12 de Octubre, Madrid (Cruz-Rojo J., Garzon Lorenzo L., and Sanchez del Pozo J.); Hospital Universitario Central de Asturias, Asturias (Riaño I.); Hospital Universitario de La Princesa, Madrid (Lahera Vargas M.); Hospital Universitario Fundación Jiménez Díaz, Madrid (Blanco-Kelly F., Lorda Sanchez M. I., Soriano Guillen L. and Tahsin Swafiri S.); Hospital Universitario Infanta Sofía, Madrid (Azriel A.); Hospital Universitario La Paz, Madrid (Lecumberri B. and Moreno J. C.); Hospital Universitario Ntra. Sra. de Candelaria, Tenerife (Garcia Nieto V.); Hospital Universitario Príncipe de Asturias, Madrid (Garcia Diaz J. and Mesa Latorre JM.); Hospital Universitario Puerta del Mar, Cádiz (Marin Iglesias R.); Hospital Universitario Quironsalud Madrid, Madrid (Laura Fernandez A.); Hospital Universitario Santa Cristina, Madrid (Martin Fuentes M.); Hospital Universitario Vall D’Hebron, Barcelona (Casteras A. and Clemente Leon M.); Hospital Universitario Virgen de la Arrixaca, Murcia (Ballesta-Martinez M. and Sanchez Soler M. J.); Hospital Universitario Virgen del Rocío, Sevilla (Gonzalez Meneses A.); Hospital Virgen de la Salud, Toledo (Lopez Lopez J., Toledo Pacheco C., and Vicente Delgado A.); OSI Bilbao-Basurto, Bizkaia (Garcia Barcina M. J.); OSI Ezkerraldea-Enkarterri-Cruces, Bizkaia (Gener B and Llano I.), Parc de Salut Mar, Barcelona (Bonet Alcaina M.), Hospital Universitario Son Espases, Mallorca (Armero-Bujaldón C. and Santos F), Hospital General de Albacete, Albacete (Lamas Oliveira C.), Hospital Clínico Universitario Valladolid, Valladolid (Bartolome Albistegui M.T. and Bahillo Curieses P.), Hospital de Jerez de La Frontera, Jerez (Santos Mata M.A.), Hospital General de Almansa (Garcia Villaescusa L), Hospital San Pedro, La Rioja (Martinez de Salinas M.A.), Hospital Teresa Herrera, La Coruña (Prado Carro A.M.), Hospital Universitari Germans Trias I Pujol, Barcelona, (Blanco I.) and Hospital Universitario de Mostoles, Madrid (Diaz de Bustamante A.).
Funding
This work was partially supported by Instituto de Salud Carlos III (ISCIIII) of the Ministry of Economy and Competitiveness (Spain) cofinanced by European Regional Development Fund (grant number PI20/00950), the Department of Health of the Basque Government (grant number GV2021/111056), and the 2019 Research Unit Grant from European Society of Paediatric Endocrinology (ESPE).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2022.1055431/full#supplementary-material
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in the study are deposited in the European Nucleotide Archive (ENA) repository (https://www.ebi.ac.uk/ena), accession number PRJEB56694.