Literature DB >> 29379892

(Epi)genotype-Phenotype Analysis in 69 Japanese Patients With Pseudohypoparathyroidism Type I.

Shinichiro Sano1,2, Akie Nakamura1, Keiko Matsubara1, Keisuke Nagasaki3, Maki Fukami1, Masayo Kagami1, Tsutomu Ogata1,2.   

Abstract

CONTEXT: Pseudohypoparathyroidism type I (PHP-I) is divided into PHP-Ia with Albright hereditary osteodystrophy and PHP-Ib, which usually shows no Albright hereditary osteodystrophy features. Although PHP-Ia and PHP-Ib are typically caused by genetic defects involving α subunit of the stimulatory G protein (Gsα)-coding GNAS exons and methylation defects of the GNAS differentially methylated regions (DMRs) on the maternal allele, respectively, detailed phenotypic characteristics still remains to be examined.
OBJECTIVE: To clarify phenotypic characteristics according to underlying (epi)genetic causes. PATIENTS AND METHODS: We performed (epi)genotype-phenotype analysis in 69 Japanese patients with PHP-I; that is, 28 patients with genetic defects involving Gsα-coding GNAS exons (group 1) consisting of 12 patients with missense variants (subgroup A) and 16 patients with null variants (subgroup B), as well as 41 patients with methylation defects (group 2) consisting of 21 patients with broad methylation defects of the GNAS-DMRs (subgroup C) and 20 patients with an isolated A/B-DMR methylation defect accompanied by the common STX16 microdeletion (subgroup D).
RESULTS: Although (epi)genotype-phenotype findings were grossly similar to those reported previously, several important findings were identified, including younger age at hypocalcemic symptoms and higher frequencies of hyperphosphatemia in subgroup C than in subgroup D, development of brachydactyly in four patients of subgroup C, predominant manifestation of subcutaneous ossification in subgroup B, higher frequency of thyrotropin resistance in group 1 than in group 2, and relatively low thyrotropin values in four patients with low T4 values and relatively low luteinizing hormone/follicle-stimulating hormone values in five adult females with ovarian dysfunction.
CONCLUSION: The results imply the presence of clinical findings characteristic of each underlying cause and provide useful information on the imprinting status of Gsα.

Entities:  

Keywords:  (epi)genotype-phenotype analysis; congenital hypothyroidism; molecular classification; pseudohypoparathyroidism

Year:  2017        PMID: 29379892      PMCID: PMC5779104          DOI: 10.1210/js.2017-00293

Source DB:  PubMed          Journal:  J Endocr Soc        ISSN: 2472-1972


Pseudohypoparathyroidism type I (PHP-I) is a rare endocrine disorder caused by parathyroid hormone (PTH) resistance due to compromised expression of the α subunit of the stimulatory G protein (Gsα) encoded by exons 1 to 13 of GNAS [1]. Gsα is predominantly expressed from the maternal allele and is barely expressed from the paternal allele in several tissues such as the proximal renal tubules, thyroid, gonads, and pituitary, whereas it is biallelically expressed in most tissues [2]. Thus, PHP-I develops when the maternal Gsα expression is compromised in the proximal renal tubules. Furthermore, because Gsα plays a pivotal role in signal transduction of multiple G protein–coupled receptors, including PTH receptor 1, thyrotropin (TSH) receptor, luteinizing hormone/choriogonadotropin receptor, follicle-stimulating hormone receptor, and growth hormone (GH)–releasing hormone (GHRH) receptor [1], PHP-I can be associated not only with PTH resistance but also with variable degrees of resistance to the corresponding ligand hormones. In particular, TSH resistance is relatively frequent and is often recognized as the first endocrine abnormality of PHP-I [3, 4]. Indeed, high TSH values are often identified in patients with PHP-I by the neonatal mass screening [5-7]. PHP-I is clinically divided into two types: PHP-Ia, which is accompanied by Albright hereditary osteodystrophy (AHO) characterized by short stature (SS), round face (RF), brachydactyly (Br), obesity (Ob), subcutaneous ossification (SO), and intellectual disability (ID); and PHP-Ib, which usually shows no AHO features [8]. Because most AHO features are rather nonspecific, the diagnosis of PHP-Ia is usually made when two or more of the six AHO features are identified in patients with PHP-I [3]. PHP-Ia is typically caused by abnormalities involving the maternally derived Gsα-coding GNAS exons (loss-of-function mutations or deletions), whereas PHP-Ib almost invariably results from methylation defects of the maternally inherited GNAS differentially methylated regions (DMRs) [1, 8]. Furthermore, PHP-Ib is divided into two forms: a sporadic form with broad methylation defects of the GNAS-DMRs, that is, loss-of-methylation type epimutations at the A/B-DMR, XLas-DMR, and AS-DMR, and gain-of-methylation type epimutation at the NESP55-DMR; and an autosomal-dominant form with an isolated loss-of-methylation type epimutation at the A/B-DMR, which is almost invariably accompanied by a common microdeletion involving STX16 (exons 4 to 6) at the position ∼220 kb upstream of GNAS [1, 8]. The broad methylation defects are also occasionally caused by paternal uniparental disomy 20 [UPD(20)pat] [9-11], as well as by rare types of microdeletions involving maternally derived AS (exons 3 to 4) with or without accompanying loss of NESP55 [12, 13]. Such a difference in the underlying factors between PHP-Ia and PHP-Ib is primarily consistent with the notion that PHP-I develops as an imprinting disorder, whereas AHO is usually caused by reduced Gsα expression in tissues where Gsα is biparentally expressed [14]. Indeed, reduced paternal Gsα expression leads to pseudopseudohypoparathyroidism (PPHP), which is associated with AHO features and lacks hormonal resistance [14]. However, recent (epi)genotype-phenotype analyses have revealed a phenotypic overlap between patients with abnormalities involving Gsα-coding GNAS exons and those with methylation defects [3, 15, 16]. Indeed, a subset of patients with methylation defects exhibits some AHO features [3, 15]. Nevertheless, detailed phenotypic characteristics according to underlying (epi)genetic causes still remain to be clarified. Thus, we classified 69 patients with PHP-I according to the underlying (epi)genetic causes and performed (epi)genotype-phenotype analyses.

1. Patients and Methods

A. Patients

This study consisted of 69 Japanese patients from 52 families (29 males and 40 females; 60 hitherto unreported patients and 9 previously reported patients [17-21]) with clinically diagnosed PHP-I (Tables 1 and 2). Of the nine previously described patients, patient no. 40 exhibited Beckwith–Wiedemann syndrome and PHP-Ib phenotypes in the presence of severe loss-of-methylation type epimutations at the Kv-DMR and GNAS-DMRs [18]. The previously reported patient with PHP-Ib caused by a maternally inherited complex genomic rearrangement within the NESP55 to GNAS region was excluded from this study because of the unique methylation defects [24].
Table 1.

Molecular Findings in 69 Japanese Patients With PHP-I

Pt.
Family
Subject
Sex
Genetic Diagnosisa
Inheritance
Ref.
Group 1: Genetic defects involving Gsα-coding GNAS exons
Subgroup A: Missense variants
1Family 1ProbandFExon 1, p.(M1I)bNE
2Family 2ProbandFExon 1, p.(L30P)De novo
3Family 3ProbandFExon 1, p.(R42C)Maternal
4Family 3SiblingFExon 1, p.(R42C)Maternal
5Family 3SiblingFExon 1, p.(R42C)Maternal
6Family 3SiblingFExon 1, p.(R42C)Maternal
7Family 4ProbandFExon 5, p.(M110T) (novel)Maternal
8Family 5ProbandMExon 7, p.(P192L)NE
9Family 6ProbandMExon 10, p.(E259K) (novel)De novo
10Family 7ProbandFExon 12, p.(I341T) (novel)Maternal
11Family 8ProbandFExon 13, p.(H362Y) (novel)NE
12Family 9ProbandFExon 13, p.(A366T)De novo
Subgroup B: Null variants
13Family 10ProbandFc.312+5G>AcMaternal
14Family 11ProbandFExon 1, p.(Q12X)dMaternal
15Family 12ProbandMExon 1, p.(Q29X)dMaternal
16Family 13ProbandMExon1, p.(Q35X)dNE
17Family 14ProbandFExon 5, p.(V117RfsX23)dDe novo
18Family 15ProbandMExon 6, p.(A152GfsX6)d (novel)Maternal
19Family 15SiblingFExon 6, p.(A152GfsX6)d (novel)Maternal
20Family 16ProbandMExon 7, p.(V191AfsX5)dNE
21Family 17ProbandMExon 11, p.(V287QfsX7)d (novel)Maternal
22Family 18ProbandFExon 12, p.(A337PfsX10)e (novel)Maternal
23Family 18SiblingMExon 12, p.(A337PfsX10)e (novel)Maternal
24Family 19ProbandFMicrodeletion (BMP7CDH26)fDe novo
25Family 20ProbandFMicrodeletion (VAPBC20orf197)fMaternal
26Family 21ProbandFMicrodeletion (NPEPL1EDN3)fMaternal[17]
27Family 21SiblingMMicrodeletion (NPEPL1EDN3)fMaternal[17]
28Family 22ProbandFMicrodeletion (GNAS exons 1–13 only)fMaternal
Group 2: Methylation defects
Subgroup C: Broad methylation defects at the GNAS-DMRs
29Family 23ProbandFEpimutationsSporadic
30Family 24ProbandMEpimutationsSporadic
31Family 25ProbandMEpimutationsSporadic
32Family 26ProbandMEpimutationsSporadic
33Family 27ProbandMEpimutationsSporadic
34Family 28ProbandFEpimutationsSporadic
35Family 29ProbandMEpimutationsSporadic
36Family 30ProbandFEpimutationsSporadic
37Family 31ProbandMEpimutationsSporadic
38Family 32ProbandMEpimutationsSporadic
39Family 33ProbandFEpimutationsSporadic
40Family 34ProbandFEpimutationsSporadic[18]
41Family 35ProbandMEpimutationsSporadic[19]
42Family 36ProbandFEpimutations [UPD(20)pat not excluded]NE
43Family 37ProbandFEpimutations [UPD(20)pat not excluded]NE
44Family 38ProbandFEpimutations [UPD(20)pat not excluded]NE
45Family 39ProbandFEpimutations [UPD(20)pat not excluded]NE
46Family 40ProbandMEpimutations [UPD(20)pat not excluded]NE
47Family 41ProbandFEpimutations (UPD(20)pat not excluded)NE
48Family 42ProbandFEpimutations (UPD(20)pat not excluded)NE
49Family 43ProbandMEpimutations (UPD(20)pat not excluded)NE
Subgroup D: Isolated A/B-DMR methylation defects
50Family 44ProbandMEpimutation with STX16 microdeletiongMaternal
51Family 44SiblingFEpimutation with STX16 microdeletiongMaternal
52Family 44MotherFEpimutation with STX16 microdeletiongNE
53Family 45ProbandFEpimutation with STX16 microdeletiongNE
54Family 45ChildFEpimutation with STX16 microdeletiongMaternal
55Family 46ProbandMEpimutation with STX16 microdeletiongNE
56Family 47ProbandMEpimutation with STX16 microdeletiongMaternal
57Family 47SiblingFEpimutation with STX16 microdeletiongMaternal
58Family 47SiblingMEpimutation with STX16 microdeletiongMaternal
59Family 47MotherFEpimutation with STX16 microdeletiongNE
60Family 48ProbandFEpimutation with STX16 microdeletiongNE
61Family 48ChildMEpimutation with STX16 microdeletiongMaternal
62Family 49ProbandMEpimutation with STX16 microdeletiongNE
63Family 50ProbandFEpimutation with STX16 microdeletiongMaternal
64Family 50MotherFEpimutation with STX16 microdeletiongNE
65Family 51ProbandMEpimutation with STX16 microdeletiongNE[20]
66Family 51SiblingMEpimutation with STX16 microdeletiongNE[20]
67Family 52ProbandFEpimutation with STX16 microdeletiongNE[21]
68Family 52ChildMEpimutation with STX16 microdeletiongMaternal[21]
69Family 52ChildMEpimutation with STX16 microdeletiongMaternal[21]

Abbreviations: F, female; M, male; NE, not examined; Pt., patient.

Based on NM_000516 for GNAS (exons, 13; cDNA, 1972 bp; amino acids, 394).

This variant affecting the translation start codon has been reported as a hypomorphic mutation with some residual activity [22].

Immunoblot analysis has shown an ~50% reduction in the level of erythrocyte Gsα protein, indicating that the splice donor site mutation does not produce a normal Gsα protein [23].

Predicted to undergo nonsense-mediated mRNA decay.

Predicted to escape nonsense-mediated mRNA decay, and to produce a truncated protein missing a part of the ras-like domain that interacts with G protein–coupled receptors.

The locus order is: centromere–BMP7–VAPB–STX16–NPEPL1–GNAS–NELFCD–EDN3–CDH26–C20orf197–telomere.

The common ~3-kb microdeletion involving STX16 exons 4–6.

Table 2.

Clinical Findings in 69 Japanese Patients with PHP-I

Pt.Reason for Exam.Clinical
Dx.aAHO
FeaturesPTH
ResistanceIntact PTH
(pmol/L)Ca
(mmol/L)IP
(mmol/L)Age at
Exam. (y)TSH
ResistanceTSH
(mU/L)FT4
(pmol/L)Age at
Exam. (y)Ref.
Group 1: Genetic defects involving Gsα-coding GNAS exons
Subgroup A: Missense variants
1AHO (SS)PHP-IaSS, BrYes8.22.351.634.1Yes5.615.44.1
2Incidental findingbPHP-IaSS, RF, BrYes60.52.051.9819.0No2.814.219.0
3Elevated TSHPHP-IaSS, RF, Br, Ob, IDYes37.92.231.1813.2Yes7.716.81.0
4Family historyPHP-IaSS, RF, Br, SO, IDYes21.22.281.2225.5Yes8.310.325.5
5Family historyPHP-IaSS, RF, Br, Ob, IDYes29.52.131.6321.7Yes12.07.721.7
6Family historyPHP-IaSS, RF, Br, Ob, IDYes53.72.081.1517.4Yes10.111.617.4
7AHO (SS)PHP-IaRF, Br, Ob, IDYes22.22.381.866.6Yes15.57.56.6
8SeizurePHP-IaRF, SS, Br, IDYes13.12.032.0511.0No3.511.611.0
9Elevated TSHPHP-IaSS, RF, Ob, IDYes31.02.192.192.8Yes22.62.8Neonatald
10AHO (SS)PHP-IaSS, RF, Br, Ob, IDYes7.72.501.478.3No2.69.18.3
11AHO (Ob)PHP-IbObYes14.02.601.701.0Yes4.711.11.0
12AHO (SS, Br)PHP-IaSS, RF, Br, Ob, IDYes7.62.401.3416.0No3.518.016.0
Subgroup B: Null variants
13AHO (Br)PHP-IaSS, RF, BrYes44.41.951.9515.0Yes57.111.6Neonatald
14AHO (SO)PHP-IaSS, RF, Br, SO, IDYes7.82.581.730.6Yes10.410.00.2
15AHO (SO)PHP-IaSS, RF, Br, SO, IDYes9.92.602.240.1Yes27.99.0Neonatald
16AHO (SO)PHP-IaSS, RF, Br, SO, IDYes31.81.902.5610.0Yes16.510.32.0
17AHO (SO)PHP-IaRF, Ob, SOYes23.42.431.733.0Yes5.714.83.0
18Incidental findingbPHP-IaRF, Br, SO, IDYes34.31.832.723.8Yes10.012.9Neonatald
19Family historyPHP-IaRF, SOYes48.42.181.866.6Yes11.612.96.6
20SeizurePHP-IaSS, RF, Br, IDYes74.72.152.0512.0Yes8.19.412.0
21SyncopePHP-IaSS, RF, Br, SOYes10.81.40NE11.2No3.923.711.2
22SeizurePHP-IaSS, RF, Br, Ob, SO, IDYes50.61.682.507.3Yes4.411.67.3
23Family historyPHP-IaRF, Br, Ob, SO, IDYes77.92.482.240.2Yes19.618.0Neonatald
24Elevated TSHPHP-IaRF, Br, Ob, SO, IDYes162.01.982.146.5Yes21.716.7Neonatald
25Tetany on feverPHP-IaRF, Br, Ob,Yes140.01.40NE6.5Yes11.89.06.5
26AHO (SO)PHP-IaSS, RF, Br, Ob, SOYes16.02.231.6010.0Yes9.125.210.0[17]
27Family historyPHP-IaSS, RF, Ob, SOYes39.71.752.4310.0Yes6.910.310.0[17]
28AHO (SO)PHP-IaRF, Br, Ob, SO,Yes8.52.401.571.4Yes8.412.91.4
Group 2: Methylation defects
Subgroup C: Broad methylation defects at the GNAS-DMRs
29SeizurePHP-IaSS, RF, IDYes73.41.402.3011.1No1.717.611.1
30SeizurePHP-IaRF, Br, IDYes60.91.782.7511.1No2.813.011.1
31TetanyPHP-IaRF, Ob, BrYes56.71.702.785.4No2.313.85.4
32SyncopePHP-IaRF, IDYes77.61.402.948.0Yes6.512.68.0
33TetanyPHP-IbRFYes26.21.602.439.2No3.118.79.2
34Tetany on feverPHP-IbYes62.51.633.049.3Yes5.2NE9.3
35Tetany on feverPHP-IbYes47.21.502.0214.5Yes5.114.214.5
36DAPHP-IbYes100.91.532.629.8NENENE9.8
37Incidental findingbPHP-IbYes28.31.652.2411.4Yes6.611.611.4
38SeizurePHP-IaRF, IDYes21.12.08NE1.0No0.911.31.0
39Incidental findingbPHP-IbYes80.11.902.108.8No2.212.38.8
40BWScPHP-IbRFYes31.71.981.9513.0Yes7.79.013.0[18]
41Incidental findingbPHP-IbYes19.72.401.986.0No2.116.26.0[19]
42SeizurePHP-IaSS, RF, Br, IDYes37.21.583.268.0Yes12.915.4Neonatald
43SeizurePHP-IaRF, Br,Yes24.11.532.117.2No1.315.47.2
44AHO (Ob)PHP-IaRF, ObYes44.92.301.663.3Yes6.113.43.3
45Incidental findingbPHP-IbRFYes71.52.001.895.6No1.98.55.6
46SeizurePHP-IbRFYes31.51.682.409.0No2.312.99.0
47Tetany on feverPHP-IbYes33.51.851.1535.0No2.910.435.0
48Tetany on feverPHP-IbYes78.92.082.349.1No2.39.09.1
49SeizurePHP-IbYes25.31.903.6042.0No1.811.042.0
Subgroup D: Isolated A/B-DMR methylation defects
50Tetany on feverPHP-IbYes34.41.231.6316.0No3.511.616.0
51Family historyPHP-IbYes28.92.032.2113.0No1.610.313.0
52Family historyPHP-IbRFYes24.31.581.5746.0Yes5.49.046.0
53Tetany on feverPHP-IbYes41.21.601.4735.0No1.010.335.0
54Family historyPHP-IbYes43.61.352.565.2No0.511.75.2
55TetanyPHP-IbYes17.31.282.5613.9Yes7.714.013.9
56SyncopePHP-IbYes53.81.601.7013.7No4.013.113.7
57Family historyPHP-IbYes38.01.603.0410.5Yes7.916.010.5
58Family historyPHP-IbYes36.11.982.118.9Yes5.513.18.9
59Family historyPHP-IbYes40.31.581.2539.0No3.813.339.0
60TetanyPHP-IbYes18.42.011.4151.0Yes4.911.651.0
61Family historyPHP-IbYes42.41.551.7625.0Yes4.716.825.0
62TetanyPHP-IbObYes31.21.731.6643.0No2.48.943.0
63Elevated TSHPHP-IaRF, IDYes59.02.002.2012.0Yes9.214.23.0
64Family historyPHP-IbYes43.11.701.5044.0Yes5.110.744.0
65Tetany on exercisePHP-IbYes26.72.231.6615.0Yes5.612.915.0[20]
66Family historyPHP-IbYes45.31.602.9112.0Yes4.112.912.0[20]
67TetanyPHP-IbYes50.81.451.7625.0Yes5.213.025.0[21]
68Family historyPHP-IbSSYes31.02.381.925.0No4.014.35.0[21]
69Family historyPHP-IbSSYes21.12.381.925.0No2.116.65.0[21]

Reference range: intact PTH, 1.0−6.8 pmol/L; calcium, 2.25−2.75 mmol/L (<1 years), 2.20−2.65 mmol/L (1−5 years), and 2.17−2.55 mmol/L (≥6 years); inorganic phosphate, 1.35−2.15 mmol/L (<1 year), 1.22−1.99 mmol/L (1−11 years), and 0.90−1.86 mmol/L (≥12 years); TSH 0.4−4.0 mU/L; and FT4, 10.3−29.6 pmol/L. The values above the age-matched reference ranges are boldfaced and underlined, and those below the age-matched reference ranges are boldfaced and italicized.

Abbreviations: BWS, Beckwith–Wiedemann syndrome; Dx., diagnosis; DA, dental abnormality; Exam., examination; IP, inorganic phosphate; Pt., patient.

PHP-Ia is diagnosed when two or more AHO features are present.

Identification of hypocalcemia by routine laboratory tests for PHP-unrelated features such as infections and operations.

This patient exhibits Beckwith–Wiedemann syndrome and PHP-Ib phenotypes under the coexisting severe hypomethylations of the Kv-DMR and the GNAS-DMRs [18].

Found to have increased blood TSH values at the neonatal mass screening (TSH cut-off values, 8−10 mU/L).

Molecular Findings in 69 Japanese Patients With PHP-I Abbreviations: F, female; M, male; NE, not examined; Pt., patient. Based on NM_000516 for GNAS (exons, 13; cDNA, 1972 bp; amino acids, 394). This variant affecting the translation start codon has been reported as a hypomorphic mutation with some residual activity [22]. Immunoblot analysis has shown an ~50% reduction in the level of erythrocyte Gsα protein, indicating that the splice donor site mutation does not produce a normal Gsα protein [23]. Predicted to undergo nonsense-mediated mRNA decay. Predicted to escape nonsense-mediated mRNA decay, and to produce a truncated protein missing a part of the ras-like domain that interacts with G protein–coupled receptors. The locus order is: centromere–BMP7–VAPB–STX16–NPEPL1–GNAS–NELFCD–EDN3–CDH26–C20orf197–telomere. The common ~3-kb microdeletion involving STX16 exons 4–6. Clinical Findings in 69 Japanese Patients with PHP-I Reference range: intact PTH, 1.0−6.8 pmol/L; calcium, 2.25−2.75 mmol/L (<1 years), 2.20−2.65 mmol/L (1−5 years), and 2.17−2.55 mmol/L (≥6 years); inorganic phosphate, 1.35−2.15 mmol/L (<1 year), 1.22−1.99 mmol/L (1−11 years), and 0.90−1.86 mmol/L (≥12 years); TSH 0.4−4.0 mU/L; and FT4, 10.3−29.6 pmol/L. The values above the age-matched reference ranges are boldfaced and underlined, and those below the age-matched reference ranges are boldfaced and italicized. Abbreviations: BWS, Beckwith–Wiedemann syndrome; Dx., diagnosis; DA, dental abnormality; Exam., examination; IP, inorganic phosphate; Pt., patient. PHP-Ia is diagnosed when two or more AHO features are present. Identification of hypocalcemia by routine laboratory tests for PHP-unrelated features such as infections and operations. This patient exhibits Beckwith–Wiedemann syndrome and PHP-Ib phenotypes under the coexisting severe hypomethylations of the Kv-DMR and the GNAS-DMRs [18]. Found to have increased blood TSH values at the neonatal mass screening (TSH cut-off values, 8−10 mU/L).

B. Ethical Approval

This study was approved by the Institutional Review Board Committee at the National Center for Child Health and Development and was performed after obtaining written informed consent.

C. Molecular and In Silico Analyses

Molecular studies were performed for hitherto unreported 60 patients, using leukocyte genomic DNA samples. The molecular diagnostic flowchart is shown in Fig. 1, and the primers used are summarized in Supplemental Table 1.
Figure 1.

Molecular diagnostic flowchart and the number of patients in each group/subgroup.

Molecular diagnostic flowchart and the number of patients in each group/subgroup. We first performed direct sequencing for the Gsα-coding GNAS exons 1 to 13 and their splice sites in all 60 patients. For a reference, we used the GNAS transcript variant 1 (GenBank; NM_000516.5) (https://www.ncbi.nlm.nih.gov/genbank/) consisting of 13 exons and encoding 394 amino acids. Identified intragenic sequence variants were examined for the frequency in the public databases, and missense variants were studied for the pathogenicity by in silico analyses (Supplemental Table 2). We also performed methylation-specific multiple ligation-dependent probe amplification (SALSA kit ME031A, MRC-Holland) to examine the copy number variants involving the STX16 to GNAS region and the methylation patterns of the GNAS-DMRs in all 60 patients. Furthermore, we carried out array-based comparative genomic hybridization using a catalog human array (1 × 1M format, catalog no. G4447A; Agilent Technologies) in patients with copy number variants, pyrosequencing analysis for the GNAS-DMRs in patients with methylation defects, and microsatellite analysis to differentiate between epimutations and maternal uniparental disomy 20 in patients with broad methylation defects.

D. Clinical Studies

We collected detailed clinical findings in all 69 patients, including the previously reported 9 patients [17-21], from attending physicians using a comprehensive questionnaire. SS was defined as the length/height below –2 standard deviations of the age- and sex-matched Japanese standards [25], and Ob as the body mass index above +2 standard deviations of the age- and sex-matched Japanese standards [26]. ID was assessed as positive when the developmental quotient/intellectual quotient was <70. Br and SO were evaluated by physical and/or roentgenographic examinations. RF was evaluated subjectively. We also asked the physicians to report any clinical findings not covered by the questionnaire.

E. Statistical Analysis

Statistical significance of the median and the frequency between two groups or subgroups was examined by the Mann–Whitney U test and the Fisher’s exact probability test, respectively, using the R environment (http://cran.r-project.org/bin/windows/base/old/2.15.1/). P < 0.05 was considered significant.

2. Results

A. Molecular and In Silico Studies

The results of the molecular studies for the 60 patients are shown in Table 1 and Fig. 1. Direct sequencing revealed a variant affecting the translation start codon in patient no. 1, eight types of missense variants in patient nos. 2 to 12, a variant affecting the splice donor site of intron 4 in patient no. 13, three types of nonsense variants in patient nos. 14 to 16, and five types of frameshift variants in patient nos. 17 to 23. Of the total of 18 different types of variants, 7 were novel, whereas the remaining 11 have previously been reported, including those affecting the translation start codon and the splice donor site that were found to be a hypomorphic and an amorphic mutation, respectively [22, 23] (Supplemental Table 2). These intragenic variants were absent in the public databases, except for p.(Q12X) in patient no. 14, which has been registered as a clinically associated single nucleotide polymorphism in dbSNP 147, and the eight types of missense variants were assessed as pathogenic by in silico analyses (Supplemental Table 2). The nonsense and the frameshift variants in patient nos. 14 to 21 were predicted to cause nonsense-mediated messenger RNA (mRNA) decay, whereas the frameshift variant in sibling patient nos. 22 and 23 was predicted to produce a truncated protein missing a part of ras-like domain interacting with G protein–coupled receptor. Thus, all of the intragenic variants were assessed as pathogenic mutations. Methylation-specific multiple ligation-dependent probe amplification analyses showed broad methylation defects in the presence of microdeletions encompassing the GNAS locus in patient nos. 24 and 25, normal methylation patterns in the presence of a microdeletion involving Gsα-coding GNAS exons 1 to 13 in patient no. 28, broad methylation defects in the absence of microdeletions involving AS and/or NESP55 in patient nos. 29 to 39 and nos. 42 to 49, and isolated A/B-DMR methylation defects associated with the common ∼3-kb microdeletions involving STX16 exons 4 to 6 in patient nos. 50 to 64. Subsequently, array-based comparative genomic hybridization analysis revealed loss of a BMP7 to CDH26 region in patient no. 24, that of a VAPB to C20orf197 region in patient no. 25, and that of Gsα-coding GNAS exons 1 to 13 in patient no. 28. Notably, the microdeletion of patient no. 28 did not involve the GNAS-DMRs including the A/B-DMR, with the centromeric and telomeric breakpoints being localized between chr20:57,465,955 bp and chr20:57,468,102 bp and between chr20:57,518,928 bp and chr20:57,522,236 bp, respectively (hg19; UCSC Genome Browser; http://genome.ucsc.edu/) (Supplemental Fig. 1). Pyrosequencing analysis demonstrated broad methylation defects in patient nos. 24 and 25, and normal methylation patterns of the GNAS-DMRs including the A/B-DMR in patient no. 28. Microsatellite analysis with parental DNA samples showed epimutations rather than UPD(20)pat in patient nos. 29 to 39, whereas parental DNA samples were not available in patient nos. 42 to 49.

B. Parent-of-Origin Analysis

Parent-of-origin analysis was performed in 40 of the 60 patients examined in this study, and the data were available in 6 of the 9 patients reported in the literature [17-21]. Collectively, it was found that: (1) pathogenic variants and deletions involving Gsα-coding GNAS exons were derived from the mother in 18 patients and occurred as de novo events in 5 patients; (2) broad methylation defects in the absence of deletions were caused by epimutations in all 13 patients in whom parental samples were available (it remained to be clarified whether the broad methylation defects were due to epimutations or maternal uniparental disomy in the remaining 8 patients); and (3) STX16 microdeletions with the hypomethylated A/B-DMR were of maternal origin in all 10 patients in whom parental samples were available (Table 1).

C. Genetic Classification

On the basis of the molecular results of the 60 patients examined in this study and those of the previously reported nine patients, the 69 patients were classified as follows: (1) patient nos. 1 to 28 from 22 families (22 probands) with genetic defects involving Gsα-coding GNAS exons (group 1) consisting of patient nos. 1 to 12 from 9 families (9 probands) with missense variants (subgroup A) and patient nos. 13 to 28 from 13 families (13 probands) with null variants (splice site, nonsense, and frameshift variants, as well as deletions) (subgroup B); and (2) patient nos. 29 to 69 from 30 families (30 probands) with GNAS methylation defects (group 2) consisting of patient nos. 29 to 49 from 21 families (21 probands) with broad methylation defects of the GNAS-DMRs (subgroup C) and patient nos. 50 to 69 from 9 families (9 probands) with an isolated A/B-DMR methylation defect accompanied by the common STX16 microdeletion (subgroup D) (Fig. 1; Table 1).

D. (Epi)genotype-Phenotype Analysis

Clinical findings of each patient are shown in Table 2, and those of each group and subgroup are summarized in Table 3. Phenotypic comparisons in the probands revealed that the age at examination for PHP was significantly younger in group 1 than in group 2, and that the reason of examination for PHP was mostly accounted for by AHO features in group 1 (mostly SS in subgroup A and invariably SO in subgroup B) and by hypocalcemic symptoms (tetany, seizures, and syncope) in group 2. Indeed, hypocalcemia was significantly more prevalent in group 2 than in group 1. Furthermore, the age at examination was significantly younger in subgroup C than in subgroup D as was the age at hypocalcemic symptoms, and hyperphosphatemia was more frequent in subgroup C than in subgroup D, whereas there was no such significant difference between subgroup A and subgroup B.
Table 3.

Summary of Clinical Findings Based on Molecular Classifications

Genetic Defects Involving Gsα-Coding GNAS Exons
Methylation Effects
P Value
Group 1Subgroup A
Missense VariantsSubgroup B
Null VariantsGroup 2Subgroup C
GNAS-DMRsaSubgroup D
A/B-DMRbGroup 1 vs Group 2Subgroup A vs Subgroup BSubgroup C vs Subgroup D
Probands
 Number2291330219
 Age at examination for PHP, y6.9 (0.1−19.0)8.3 (1.0−19.0)6.5 (0.1−15.0)11.1 (1.0−51.0)9.1 (1.0−42.0)16.0 (12.0−51.0)<0.05NS<0.01
 Reason for examination
  AHO features12/225/9d7/13d1/301/21d0/9<0.01NSNS
  Other features0/220/90/132/302/21e0/9NSNSNS
  Hypocalcemic symptomsc5/221/94/1322/3014/218/9<0.01NSNS
  Age at hypocalcemic symptoms, y11.0 (6.5−12.0)11.09.2 (6.5−12.0)12.4 (1.0−51.0)9.1 (1.0−42.0)20.5 (13.7−51.0)NS<0.01
  High TSH at the newborn screening5/221/94/131/211/160/5NSNSNS
  Incidental findings2/221/91/134/304/210/9NSNSNS
 Hypocalcemia11/223/98/1327/3019/218/9<0.01NSNS
 Hyperphosphatemia10/203/97/1118/2916/202/9NSNS<0.01
All patients
 Number281216412120
 PHP-Ia:PHP-Ib27:111:116:09:328:131:19<0.01NS<0.05
 AHO features
  Positive AHO features per patient4 (1−6)4.5 (1−5)4 (2−6)0 (0−4)1 (0−4)0 (0−2)<0.01NS<0.05
  Short stature19/2810/129/164/412/212/20<0.01NSNS
  Round face26/2810/1216/1614/4112/212/20<0.01NS<0.01
  Ob16/288/128/163/412/211/20<0.01NSNS
  Brachydactyly23/2810/1213/164/414/210/20<0.01NSNS
  Subcutaneous ossifications14/281/1213/160/410/210/20<0.01<0.01NS
  ID17/289/128/166/415/211/20<0.01NSNS
 Endocrine-related features
  PTH resistance28/2812/1216/1641/4121/2120/20
  Hypocalcemia14/285/129/1636/4119/2117/20<0.01NSNS
  Hypocalcemic symptomsc5/281/124/1622/4114/218/20<0.01NSNS
  Hyperphosphatemia12/263/129/1423/4016/207/20NSNS<0.01
  TSH resistance23/288/1215/1618/407/2011/20<0.01NSNS
  High TSH at the newborn screening6/241/95/151/281/160/12<0.05NSNS

The data are shown as the median (range) or the frequency. For the frequency, the denominators indicate the number of patients examined for the presence or absence of each feature, and the numerators represent the number of patient assessed to be positive for that feature; thus, differences between the denominators and numerators denote the number of patients evaluated to be negative for the feature.

Abbreviation: NS, not significant.

Loss of methylation-type epimutations at the AS-DMR, the XLas-DMR, and the A/B-DMR, and gain of methylation-type epimutation at the NESP55-DMR.

Isolated loss of methylation at the A/B-DMR accompanied by the STX16 microdeletion.

Hypocalcemic symptoms include tetany, seizures, and syncope.

AHO features: subgroup A, SS (n = 3), SS plus Br (n = 1), and Ob (n = 1); subgroup B, Br (n = 1) and SOs (n = 6); and subgroup C, Ob (n = 1).

Dental abnormality (n = 1) and Beckwith–Wiedemann syndrome (n = 1).

Summary of Clinical Findings Based on Molecular Classifications The data are shown as the median (range) or the frequency. For the frequency, the denominators indicate the number of patients examined for the presence or absence of each feature, and the numerators represent the number of patient assessed to be positive for that feature; thus, differences between the denominators and numerators denote the number of patients evaluated to be negative for the feature. Abbreviation: NS, not significant. Loss of methylation-type epimutations at the AS-DMR, the XLas-DMR, and the A/B-DMR, and gain of methylation-type epimutation at the NESP55-DMR. Isolated loss of methylation at the A/B-DMR accompanied by the STX16 microdeletion. Hypocalcemic symptoms include tetany, seizures, and syncope. AHO features: subgroup A, SS (n = 3), SS plus Br (n = 1), and Ob (n = 1); subgroup B, Br (n = 1) and SOs (n = 6); and subgroup C, Ob (n = 1). Dental abnormality (n = 1) and Beckwith–Wiedemann syndrome (n = 1). Phenotypic comparisons in all patients showed that almost all patients of group 1 exhibited PHP-Ia phenotype, except for patient no. 11, who was just 1 year of age at the time of examination, whereas patients of group 2 primarily manifested PHP-Ib phenotype. Furthermore, patients of subgroup C showed both PHP-Ia and PHP-Ib phenotypes, whereas those of subgroup D almost invariably exhibited PHP-Ib phenotype, except for patient no. 63, who was assessed as having PHP-Ia because of the presence of RF and ID. For AHO features, all features including ID were more frequent in group 1 than in group 2. Of patients with PHP-Ia, Br or SO fairly characteristic of AHO was present not only in 10 of 12 patients of subgroup A and all patients of subgroup B, but also in 4 patients of subgroup C (patient nos. 30, 31, 42, and 43). Additionally, SO was more prevalent in subgroup B than in subgroup A, and positive AHO features per patient and RF were more frequent in subgroup C than in subgroup D. For PTH resistance, although all patients had increased serum PTH values, hypocalcemia and hypocalcemic symptoms were more frequent in group 2 than in group 1, and hyperphosphatemia was more prevalent in subgroup C than in subgroup D. Most patients, including all patients with hypocalcemia, were treated with active vitamin D analog (alfacalcidol) with or without calcium supplementation. TSH resistance (increased serum TSH values) was more frequent in group 1 than in group 2, as was the detection rate of elevated TSH values at the newborn mass screening. However, four patients (patient nos. 10, 45, 48, and 62) had normal serum TSH values in the presence of low free T4 values. Sixteen patients received levothyroxine treatment. Notably, of seven patients (one in subgroup A, five in subgroup B, and one in subgroup C) who were found to have increased blood TSH values at the newborn mass screening, one patient (patient no. 15) was diagnosed as having PHP at that time, and the remaining six patients were found to have PHP at later ages (Table 4). Additionally, three of the seven patients exhibited hypothyroidism-compatible clinical features. Although six patients, including patient nos. 9 and 15 who had low free T4 values at the newborn screening, were treated with levothyroxine, three of them showed developmental delay and four of them showed Ob in infancy, and four of them showed ID and two of them showed Ob at the time of the latest examinations. Hypothyroidism-related autoantibodies were absent in all patients with TSH resistance.
Table 4.

Long-Term Clinical Findings in Seven Cases Found to Have Elevated TSH Values at the Neonatal Mass Screening

Patient
Neonatal Period
Infancy (1.0–2.0 y)
Latest examinations
No.
Subgroup
Clinical
Diagnosis
TSH
(mU/L)
FT4
(pmol/L)
Hypothyroid-Like
Clinical Findings
L-T4
Treatment
DD
BMI
(SDS)a
Age
(y)
IDBMI
(SDS)a
9bAPHP-Ia22.62.8YescYesYes1
8.4 (–0.2)7Yes31.3 (+3.1)
13BPHP-Ia57.111.6NoYesNo19.1 (+2.6)16No23.1 (+0.8)
15BPHP-Ia27.99.0NoYesNo27.0 (+3.9)2No20.5 (+3.3)
18BPHP-Ia10.012.9NoNoUnknownUnknown16Yes20.3 (+0.3)
23BPHP-Ia19.618.0YesdYesYes19.2 (+2.1)14Yes18.9 (–1.3)
24BPHP-Ia21.716.7YeseYesYes25.2 (+5.6)7Yes15.6 (+0.8)
42CPHP-Ia12.915.4NoYesNo18.3 (+1.6)15Yes21.9 (+0.5)

The values above the reference ranges are boldfaced and underlined, and those below the reference ranges are boldfaced and italicized. Reference values: 1.7−9.1 mU/L for TSH and 11.6−33.5 pmol/L for FT4.

Abbreviations: BMI, body mass index; DD, developmental delay; L-T4, levothyroxine; SDS, standard deviation score.

Assessed by the age- and sex-matched Japanese reference data (http://jspe.umin.jp/medical/taikaku.html).

This patient had cryptorchidism, sleep apnea, and laryngotracheomalacia, which required tracheostomy, and died of cardiac arrest of unknown cause at 7 years of age.

Macroglossia, hypothermia, and hypoactivity.

Large posterior fontanelle.

Jaundice.

Long-Term Clinical Findings in Seven Cases Found to Have Elevated TSH Values at the Neonatal Mass Screening The values above the reference ranges are boldfaced and underlined, and those below the reference ranges are boldfaced and italicized. Reference values: 1.7−9.1 mU/L for TSH and 11.6−33.5 pmol/L for FT4. Abbreviations: BMI, body mass index; DD, developmental delay; L-T4, levothyroxine; SDS, standard deviation score. Assessed by the age- and sex-matched Japanese reference data (http://jspe.umin.jp/medical/taikaku.html). This patient had cryptorchidism, sleep apnea, and laryngotracheomalacia, which required tracheostomy, and died of cardiac arrest of unknown cause at 7 years of age. Macroglossia, hypothermia, and hypoactivity. Large posterior fontanelle. Jaundice. Furthermore, other features were also identified in several patients. First, gonadotropin resistance was indicated in four adult females (patient nos. 3 to 5 and 12) of subgroup A and one adult female (patient no. 26) of subgroup B (Table 5), although autoimmune oophoritis and other underlying factors for ovarian dysfunction were not examined. The five female patients had primary or secondary amenorrhea or oligomenorrhea in the presence of moderate hypergonadotropism, and they exhibited breast development at Tanner stage 3 to 4 at the time of examinations. They were placed on hormone replacement therapy with estrogen and progesterone derivatives. Gonadotropin resistance was also suggested in one boy (patient no. 9) of subgroup A who had cryptorchidism in the presence of mild hypergonadotropinism. Second, GHRH resistance was suspected in patient no. 10 of subgroup A and sibling patient nos. 68 and 69 of subgroup D (Table 5). Indeed, apparent GH deficiency was indicated by GH provocation tests. Third, dental abnormality was described in patient nos. 24 and 26 of subgroup B and patient nos. 35 and 36 of subgroup C, and strabismus was reported in patient no. 2 of subgroup A, patient no. 24 of subgroup B, and one patient (no. 41) of subgroup C.
Table 5.

Clinical and Endocrine Findings in Patients with Gonadotropin or GHRH Resistance

Patient
No.
Sex
Subgroup
Clinical Findings
Endocrine Findings
Ref.
Salient
Feature
Tanner
Stage
Age at
Exam. (y)
LH (IU/L)
GnRH:
Basal/Peaka
FSH (IU/L)
GnRH:
Basal/PeakaGH (μg/L)
Age at Exam. (y)
Arginine PeakbClonidine PeakcGlucagon Peakd
Gonadotropin resistance
3FAPAB32315.3/NE17.8/NE18
4FASAeB3−43310.2/NE23.7/NE25
5FAPAB33214.5/NE22.4/NE21
9MACYOPH 14.812.6/NE10.2/NE4.8
12FAOligo.B3−42616.6/56.616.6/26.616
26FBSAeB3−4240.6/13.66.5/25.010.0[17]
GHRH resistance
10FAGHD5.23.511.0
68MDGHD1.261.95.0[21]
69MDGHD3.751.595.0[21]

Reference range: basal LH, 0.18−0.63 IU/L for prepubertal boys, 0.24−1.31 for prepubertal girls, and 2.0−9.0 for adult females (at the follicular phase); peak LH, 1.6−4.8 for prepubertal girls and 8.5−15.5 for adult females (at the follicular phase); basal follicle-stimulating hormone, 1.03−2.89 IU/L for prepubertal boys, 2.24−5.35 for prepubertal girls, and 1.8−11.2 for adult females (at the follicular phase); and peak follicle-stimulating hormone, 2.1−6.1 for prepubertal girls and 14.5−21.9 for adult females (at the follicular phase). The values above the age-matched reference ranges are boldfaced and underlined, and those below the age-matched reference ranges are boldfaced and italicized.

Abbreviations: B, breast; CYO, cryptorchidism; F, female; FSH, follicle-stimulating hormone; GHD, GH deficiency; LH, luteinizing hormone; M, male; NE, not examined; Oligo., oligomenorrhea; PA, primary amenorrhea; PH, pubic hair; SA, secondary amenorrhea.

The peak value during GnRH stimulation tests: GnRH, 100 μg/m2 (max. 100 μg) bolus i.v.; blood sampling at 0, 30, 60, 90, and 120 minutes.

–The peak values during GH provocation tests: arginine at 0.5 g/kg (max. 30 g) intravenously over 30 minutes or clonidine at 0.1–0.15 mg/m2 (max. 0.15 mg) orally, blood sampling at 0, 30, 60, 90, and 120 minutes; glucagon at 0.03 mg/kg (max. 1 mg) subcutaneously, blood sampling at 0, 30, 60, 90, 120, 150, and 180 minutes. The diagnosis of GH deficiency is made when all the serum GH values in two or more provocation tests are <6 μg/L.

Patient nos. 4 and 26 developed SA in their early 20s.

Clinical and Endocrine Findings in Patients with Gonadotropin or GHRH Resistance Reference range: basal LH, 0.18−0.63 IU/L for prepubertal boys, 0.24−1.31 for prepubertal girls, and 2.0−9.0 for adult females (at the follicular phase); peak LH, 1.6−4.8 for prepubertal girls and 8.5−15.5 for adult females (at the follicular phase); basal follicle-stimulating hormone, 1.03−2.89 IU/L for prepubertal boys, 2.24−5.35 for prepubertal girls, and 1.8−11.2 for adult females (at the follicular phase); and peak follicle-stimulating hormone, 2.1−6.1 for prepubertal girls and 14.5−21.9 for adult females (at the follicular phase). The values above the age-matched reference ranges are boldfaced and underlined, and those below the age-matched reference ranges are boldfaced and italicized. Abbreviations: B, breast; CYO, cryptorchidism; F, female; FSH, follicle-stimulating hormone; GHD, GH deficiency; LH, luteinizing hormone; M, male; NE, not examined; Oligo., oligomenorrhea; PA, primary amenorrhea; PH, pubic hair; SA, secondary amenorrhea. The peak value during GnRH stimulation tests: GnRH, 100 μg/m2 (max. 100 μg) bolus i.v.; blood sampling at 0, 30, 60, 90, and 120 minutes. –The peak values during GH provocation tests: arginine at 0.5 g/kg (max. 30 g) intravenously over 30 minutes or clonidine at 0.1–0.15 mg/m2 (max. 0.15 mg) orally, blood sampling at 0, 30, 60, 90, and 120 minutes; glucagon at 0.03 mg/kg (max. 1 mg) subcutaneously, blood sampling at 0, 30, 60, 90, 120, 150, and 180 minutes. The diagnosis of GH deficiency is made when all the serum GH values in two or more provocation tests are <6 μg/L. Patient nos. 4 and 26 developed SA in their early 20s.

3. Discussion

We classified 69 Japanese patients with PHP-I on the basis of molecular findings and performed (epi)genotype-phenotype analysis. Although it remains to be clarified whether genetic and epigenetic defects resided on the maternally inherited allele in a substantial fraction of patients, it would be reasonable to assume compromised maternal Gsα expression in all 69 patients. Although the relative frequencies of each group and subgroup and (epi)genotype-phenotype findings are grossly similar to those reported in non-Japanese patients [3, 27], several findings are worth pointing out. First, phenotypic comparisons in the probands showed that the age at examination for PHP was significantly younger in group 1 than in group 2. This would primarily be ascribed to the ascertainment bias that patients of group 1 were primarily examined because of AHO features that are discernible from infancy or early childhood [3, 4], whereas those of group 2 were primarily studied because of hypocalcemic symptoms that usually become recognizable from late childhood [3, 4]. Furthermore, the younger ages at examination for PHP and hypocalcemic symptoms and the higher frequency of hyperphosphatemia in subgroup C than in subgroup D would suggest that, in addition to the central role of the A/B-DMR, the AS-, XLas-, and NESP55-DMRs also play a certain role in the establishment of Gsα imprinting in renal tubules. Second, phenotypic comparisons in all patients revealed that patients of subgroup C exhibited both PHP-Ia and PHP-Ib phenotypes, whereas nearly all patients of group 1 showed PHP-Ia phenotype and nearly all patients of subgroup D manifested the PHP-Ib phenotype. This argues for the importance of molecular studies in PHP-I to reveal the precise underlying causes and to provide accurate genetic counseling, although the usefulness of molecular studies is rather limited in the prediction of phenotypic consequences. For AHO features, it is notable that Br was exhibited by four patients of subgroup C. This may suggest that Gsα is subject to a certain degree of imprinting in several, if not all, skeletal tissues. It is also notable that SO was predominantly manifested by patients of subgroup B. This finding is compatible with the previous report that SO is significantly higher in patients with truncating variants than in those with missense variants [28]. In this regard, SO constituted the major reason for the examination of PHP in the probands of subgroup B. Thus, together with the previous finding that SO is also predominantly identified from infancy in patients with PPHP and progressive osseous heteroplasia caused by truncating variants of paternal Gsα-coding GNAS exons [29], it appears that SO primarily develops from infancy to early childhood when Gsα expression is halved. In support of this, a heterozygous inactivation of Gnas in mice results in the development of SO probably by accelerating the osteoblast differentiation and promoting osteogenesis [30]. Furthermore, because positive AHO features per case and the frequencies of RF were significantly higher in subgroup C than in subgroup D, this would suggest the relevance of the methylation defects of the GNAS-DMRs other than the A/B-DMR to the development of the AHO features. Additionally, ID was occasionally observed in group 2 (primarily in subgroup C), although it was more prevalent in group 1 than in group 2. This finding, in conjunction with the previous report that ID is less prevalent in patients with PPHP than in those with PHP-I [31], may suggest that Gsα is subject to some degree of imprinting in the brain. Third, TSH resistance and the detection of increased TSH values at the neonatal mass screening were more frequent in group 1 than in group 2. This would imply that Gsα is not completely imprinted in the thyroid [2]. Notably, most patients, who were found to have increased TSH values at the mass screening and were appropriately treated with levothyroxine, developed Ob and developmental delay in infancy and ID in later ages probably as the AHO features. Thus, PHP-I should be considered in patients who are positive for neonatal mass screening for hypothyroidism and show Ob and/or developmental delay and ID in infancy to later ages. Additionally, it is also notable that serum TSH values remained normal in four patients with low serum-free T4 values. In this regard, previous studies have revealed blunted TSH response to exogenous TRH stimulation in patients with PHP-Ia [32], as well as the involvement of Gsα in the TRH signaling in the mouse [33]. Thus, although further human studies would be necessary, it might be possible that the impaired Gsα function leads to TRH as well as TSH resistance, resulting in the relatively low TSH secretion. For thyroid function in PHP-I, it is worth pointing out that patient no. 42 is the second case who was found to have elevated TSH at the time of neonatal mass screening, in the presence of broad methylation defects [7]. Fourth, other hormone resistances were also indicated in this study. Indeed, apparent gonadotropin resistance was identified in six patients of group 1 but not in group 2. In this context, gonadotropin resistance has also been identified in multiple patients with abnormalities involving Gsα-coding GNAS exons and in a few patients with methylation defects [3, 4, 15]. Thus, gonadal function should be examined in patients with PHP-I, especially in those with abnormalities involving Gsα-coding GNAS exons. Notably, gonadotropin values were not so increased even in patients with primary or secondary amenorrhea. This may be due to the involvement of Gsα in the GnRH signaling [34], because impaired Gsα function would cause GnRH resistance, resulting in more or less compromised gonadotropin secretion. Furthermore, the presence of apparent GH deficiency in patient no. 10 of subgroup A and in patient nos. 68 and 69 of subgroup D would argue for the imprinting of Gsα in pituitary somatotropes [35]. Lastly, dental abnormality and strabismus were identified in a few patients of different groups. These findings have also been reported previously [3, 19, 36–38]. Thus, dental abnormality, as well as strabismus, may represent possible AHO-related features. In summary, we evaluated clinical findings in patients with PHP-I based on molecular classifications. In this regard, we note that (1) the patient number was small, especially after divided into four subgroups, so that this would have reduced the statistical power of the comparisons; (2) several missense variants can be severe as “null” variants, and several “frameshift” variants, especially the p.(A337PfsX10) that is predicted to escape nonsense-mediated mRNA decay, may have some functional activity; and (3) of the AHO features, RF and equivocal degree of Br were subjectively assessed by the attending physicians. Despite such caveats, this study implies the presence of clinical findings characteristic of each underlying cause, and it provides useful information on the imprinting status of Gsα in terms of clinical findings. Further studies will serve to define (epi)genotype-phenotype correlations.
  38 in total

Review 1.  Pseudohypoparathyroidism and Gsα-cAMP-linked disorders: current view and open issues.

Authors:  Giovanna Mantovani; Anna Spada; Francesca Marta Elli
Journal:  Nat Rev Endocrinol       Date:  2016-04-22       Impact factor: 43.330

2.  Deletion of the noncoding GNAS antisense transcript causes pseudohypoparathyroidism type Ib and biparental defects of GNAS methylation in cis.

Authors:  Smitha Chillambhi; Serap Turan; Daw-Yang Hwang; Hung-Chun Chen; Harald Jüppner; Murat Bastepe
Journal:  J Clin Endocrinol Metab       Date:  2010-05-05       Impact factor: 5.958

3.  Sporadic pseudohypoparathyroidism type-1b with asymptomatic hypocalcemia.

Authors:  Motohide Goto; Yukiyo Yamamoto; Masahiro Ishii; Akie Nakamura; Shinichiro Sano; Masayo Kagami; Maki Fukami; Reiko Saito; Shunsuke Araki; Kazuyasu Kubo; Rinko Kawagoe; Yasusada Kawada; Koichi Kusuhara
Journal:  Pediatr Int       Date:  2016-11       Impact factor: 1.524

4.  Progressive osseous heteroplasia: a model for the imprinting effects of GNAS inactivating mutations in humans.

Authors:  M Lebrun; N Richard; G Abeguilé; A David; A Coëslier Dieux; H Journel; D Lacombe; G Pinto; S Odent; J P Salles; A Taieb; S Gandon-Laloum; M L Kottler
Journal:  J Clin Endocrinol Metab       Date:  2010-04-28       Impact factor: 5.958

5.  Paternal uniparental isodisomy of the entire chromosome 20 as a molecular cause of pseudohypoparathyroidism type Ib (PHP-Ib).

Authors:  Murat Bastepe; Ozge Altug-Teber; Chhavi Agarwal; Sharon E Oberfield; Michael Bonin; Harald Jüppner
Journal:  Bone       Date:  2010-10-19       Impact factor: 4.398

6.  Deletion of the NESP55 differentially methylated region causes loss of maternal GNAS imprints and pseudohypoparathyroidism type Ib.

Authors:  Murat Bastepe; Leopold F Fröhlich; Agnès Linglart; Hilal S Abu-Zahra; Katsuyoshi Tojo; Leanne M Ward; Harald Jüppner
Journal:  Nat Genet       Date:  2004-12-12       Impact factor: 38.330

7.  Case report of GNAS epigenetic defect revealed by a congenital hypothyroidism.

Authors:  Pauline Romanet; Lindsay Osei; Irène Netchine; Morgane Pertuit; Alain Enjalbert; Rachel Reynaud; Anne Barlier
Journal:  Pediatrics       Date:  2015-04       Impact factor: 7.124

8.  Endocrine profile and phenotype-(epi)genotype correlation in Spanish patients with pseudohypoparathyroidism.

Authors:  Eduardo Fernández-Rebollo; Beatriz Lecumberri; Sonia Gaztambide; Lorea Martinez-Indart; Guiomar Perez de Nanclares; Luis Castaño
Journal:  J Clin Endocrinol Metab       Date:  2013-03-26       Impact factor: 5.958

9.  Genetic and epigenetic alterations in the GNAS locus and clinical consequences in Pseudohypoparathyroidism: Italian common healthcare pathways adoption.

Authors:  L de Sanctis; F Giachero; G Mantovani; G Weber; M Salerno; G I Baroncelli; M F Elli; P Matarazzo; M Wasniewska; L Mazzanti; G Scirè; D Tessaris
Journal:  Ital J Pediatr       Date:  2016-11-21       Impact factor: 2.638

10.  The Cubic Functions for Spline Smoothed L, S and M Values for BMI Reference Data of Japanese Children.

Authors:  Noriko Kato; Hidemi Takimoto; Noriko Sudo
Journal:  Clin Pediatr Endocrinol       Date:  2011-10-07
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1.  Early Diagnosis of Pseudohypoparathyroidism before the Development of Hypocalcemia in a Young Infant.

Authors:  Su Kyeong Hwang; Ye Jee Shim; Seung Hwan Oh; Kyung Mi Jang
Journal:  Children (Basel)       Date:  2022-05-15

2.  Evaluating the variety of GNAS inactivation disorders and their clinical manifestations in 11 Chinese children.

Authors:  Guoying Chang; Qun Li; Niu Li; Guoqiang Li; Juan Li; Yu Ding; Xiaodong Huang; Yongnian Shen; Jian Wang; Xiumin Wang
Journal:  BMC Endocr Disord       Date:  2022-03-16       Impact factor: 2.763

3.  Acrodysostosis and pseudohypoparathyroidism (PHP): adaptation of Japanese patients with a newly proposed classification and expanding the phenotypic spectrum of variants.

Authors:  Nobuo Matsuura; Tadashi Kaname; Norio Niikawa; Yoshihide Ooyama; Osamu Shinohara; Yukifumi Yokota; Shigeyuki Ohtsu; Noriyuki Takubo; Kazuteru Kitsuda; Keiko Shibayama; Fumio Takada; Akemi Koike; Hitomi Sano; Yoshiya Ito; Kenji Ishikura
Journal:  Endocr Connect       Date:  2022-09-22       Impact factor: 3.221

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