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Article

Pulmonary Hypertension Associated Genetic Variants in Sarcoidosis Associated Pulmonary Hypertension

by
Karlijn Groen
1,*,
Marloes P. Huitema
2,
Joanne J. van der Vis
1,3,
Marco C. Post
2,4,
Jan C. Grutters
1,5,
Robert P. Baughman
6,† and
Coline H. M. van Moorsel
1,5,*,†
1
Department of Pulmonology, St. Antonius ILD Center of Excellence, St. Antonius Hospital, Koekoekslaan 1, 3435 CM Nieuwegein, The Netherlands
2
Department of Cardiology, St. Antonius Hospital Nieuwegein, Koekoekslaan 1, 3435 CM Nieuwegein, The Netherlands
3
Department of Clinical Chemistry, St. Antonius ILD Center of Excellence, St. Antonius Hospital, Koekoekslaan 1, 3435 CM Nieuwegein, The Netherlands
4
Department of Cardiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
5
Division of Hearts and Lungs, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
6
Department of Medicine, University of Cincinnati Medical Center, Cincinnati, OH 45219, USA
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Diagnostics 2022, 12(10), 2564; https://doi.org/10.3390/diagnostics12102564
Submission received: 13 September 2022 / Revised: 3 October 2022 / Accepted: 17 October 2022 / Published: 21 October 2022
(This article belongs to the Special Issue Molecular Diagnosis of Interstitial Lung Disease)

Abstract

:
Background: Pulmonary hypertension (PH) is a severe complication of sarcoidosis in a minority of patients. Several genetic defects are known to cause hereditary or sporadic PH, but whether variants in PH-associated genes are also involved in sarcoidosis-associated PH (SAPH) is unknown. Methods: 40 patients with SAPH were individually matched to 40 sarcoidosis patients without PH (SA). Whole exome sequencing was performed to identify rare genetic variants in a diagnostic PH gene panel of 13 genes. Additionally, an exploratory analysis was performed to search for other genes of interest. From 572 genes biologically involved in PH pathways, genes were selected in which at least 15% of the SAPH patients and no more than 5% of patients without PH carried a rare variant. Results: In the diagnostic PH gene panel, 20 different rare variants, of which 18 cause an amino-acid substitution, were detected in 23 patients: 14 SAPH patients carried a variant, as compared to 5 SA patients without PH (p = 0.018). Most variants were of yet unknown significance. The exploratory approach yielded five genes of interest. First, the NOTCH3 gene that was previously linked to PH, and furthermore PDE6B, GUCY2F, COL5A1, and MMP21. Conclusions: The increased frequency of variants in PH genes in SAPH suggests a mechanism whereby the presence of such a genetic variant in a patient may increase risk for the development of PH in the context of pulmonary sarcoidosis. Replication and studies into the functionality of the variants are required for further understanding the pathogenesis of SAPH.

1. Introduction

Sarcoidosis is a rare granulomatous multi-organ disease of unknown cause, most commonly affecting the lungs [1]. A well-known severe complication of sarcoidosis is pulmonary hypertension (PH), defined as a mean pulmonary artery pressure of ≥25 mm Hg (mPAP ≥ 25 mm Hg) at rest as assessed by right heart catheterization [2]. Reported prevalence rates of PH in sarcoidosis patients vary widely; ranging from 3% in a prospective cohort of predominantly white patients [3] to 74% in patients awaiting lung transplantation [4]. The presence of PH in sarcoidosis is associated with an increased supplemental oxygen requirement and mortality [4,5]. Treatment regimens may include immunosuppressive or PH-targeted therapy, and should be reviewed on a case-by-case basis. According to European guidelines, PH can be clinically categorized into five groups with a similar clinical presentation, pathological findings, and hemodynamics. Sarcoidosis-associated PH (SAPH) is categorized as Group 5, PH with an unclear and/or multifactorial mechanism [2]. The underlying pathophysiological mechanism and subsequent clinical phenotype of PH in sarcoidosis are diverse [6]. A common cause of SAPH seems to be the presence of fibrosis leading to the destruction of the pulmonary vasculature. Indeed, SAPH is more common, but not exclusively present, in patients with higher Scadding stages or extensive fibrosis [3,7,8]. Other suggested mechanisms are, for example, granulomatous vasculopathy, extrinsic mechanical compression of the pulmonary vessels due to hilar lymphadenopathy or fibrosing mediastinitis, pulmonary veno-occlusive disease, portal hypertension, increased vasoreactivity, and cardiac involvement [9]. Hence, the etiology of PH in sarcoidosis is multifactorial and remains incompletely understood. Several genetic risk factors for the development of PH are known, especially for pulmonary arterial hypertension (PAH). Mutations in disease genes were found in 19.5% of the cases with sporadic PAH [10] and 54–84% of familial PAH [10,11]. The most common genetic cause of PAH is mutations in the BMPR2 gene, encoding a receptor involved in the TGF-β superfamily [10,11,12]. However, the literature as to whether genetic variants also play a role in the development of SAPH is scarce. One case study describing four patients with severe SAPH without major fibrotic lesions demonstrated that genetic mutations may indeed be involved in the development of SAPH [13]. Research on a larger cohort would provide more insight in the role of genetic risk factors in SAPH. In the current study, we therefore describe a diverse cohort of patients with different grades of pulmonary sarcoidosis. Using a matched case-control set-up, we investigated whether rare variants in known PH risk genes are overrepresented in SAPH as compared to sarcoidosis patients without PH. To this end, we performed whole exome sequencing (WES) to identify rare variants in genes included in a diagnostic gene panel for pulmonary hypertension [14]. In addition, we used an exploratory case-control set-up to search, within 572 genes biologically involved in PH pathways, for other genes that may be involved in the development of SAPH.

2. Materials and Methods

2.1. Patients and Samples

This study included 80 patients with pulmonary sarcoidosis from the Netherlands (n = 71) and the United States (n = 9). Diagnosis of sarcoidosis was based on the current ATS statement [15]. Half of the subjects were additionally diagnosed with PH (hereafter called the SAPH group), whereas the other 40 sarcoidosis patients did not have pulmonary hypertension (SA group). SAPH and SA patients were individually matched on sex, age, and ancestry. Pulmonary hypertension was established by right heart catheterization (RHC) with a mean pulmonary artery pressure of ≥25 mmHg, according to the 2015 European Society of Cardiology and European Respiratory Society guidelines. Absence of PH in the SA group was established based on RHC (n = 1) or echocardiographic assessment (n = 39). Subjects from the SA group underwent an echocardiogram for various reasons, including PH or cardiac sarcoidosis screening, LTX screening, or as part of a study protocol. One matched sarcoidosis patient was diagnosed with PH at follow-up after 1 year. This subject and the matched subject from the SAPH group were excluded from further analysis. The Scadding stage on the chest radiograph [16] and the extent of disease on the HRCT were recorded.
The study was approved by the Medical research Ethics Committees United (MEC-U) of the St. Antonius Hospital (R05–08A) and the University of Cincinnati (IRB 2013–3320). All subjects signed informed consent.

2.2. Whole Exome Sequencing and Variant Filtering

Genomic DNA was extracted from peripheral blood using standard methods. Whole Exome Sequencing (WES) was performed by Novogene (Hong Kong, China) using the Agilent Sure-Select Human All Exon V6 kit (Agilent Technologies, Santa Clara, CA, USA) on an Illumina PE150 sequencing platform (Illumina, San Diego, CA, USA) according to standard protocol. On average, at least a 20-fold read coverage was achieved for 92.8%. Reads were aligned to reference genome assembly hg19/GRCh37, and variant call files were then uploaded into Qiagen Clinical Insight (QCI; Qiagen, Venlo, The Netherlands) software for filtering. Variants observed with a minor allele frequency (MAF) > 0.01 in gnomAD were excluded. Only variants no more than 20 bases into an intron were kept. Variants were filtered on predicted deleteriousness whereby variants were included if: (1) they are listed in HGMD; (2) if they are pathogenic, likely pathogenic, or of uncertain significance according to computed ACMG classification guidelines; or (3) if they are associated with loss of function of a gene by causing a frameshift, in-frame indel, or start/stop codon change, a missense variant, or lead to splice site loss up to 2 bases into the intron as predicted by MaxEntScan. Furthermore, only variants with a Combined Annotation-Dependent Depletion (CADD v1.6) [17] score ≥15 were included (see Table S1 for details). The remaining variants were visually inspected using the Integrative Genomics Viewer (IGV) tool to exclude variants resulting from probable sequencing artifacts.

2.3. Diagnostic PH Gene Panel

The diagnostic gene panel for Pulmonary Arterial Hypertension of Genomics England PanelApp version 2.16 [14] was used to select genes with a sufficient diagnostic level for a gene-disease association with PAH: ABCC8, ACVRL1, ATP13A3, BMPR2, EIF2AK4, ENG, GDF2, KCNK3, KDR, SMAD9, SOX17, TBX4 (see Table S1). Additionally, KCNA5 was added to the gene panel because a potentially pathogenic mutation in this gene was previously reported in a patient with sarcoidosis and PH [13].

2.4. Exploratory Analysis in Genes Biologically Involved in PH Pathways

Primary variant filtering steps were identical as described above. To identify genes that may have contributed to the development of PH in sarcoidosis, we subsequently used the Biological Context tool in the QCI software to select variants in 572 genes that are biologically implicated in pulmonary hypertension disease (see Table S1 for list of genes). This tool filters variants in genes known to be involved in PH based on disease models from the QIAGEN Knowledge Base, which was built with a manually curated ontology. Only genes in which at least 15% (n ≥ 6) of the SAPH patients and no more than 5% (n ≤ 2) SA patients carry a rare variant were considered for further evaluation. Vice versa, as a control, we also selected genes with n ≥ 6 and n ≤ 2 rare variant carriers in SA and SAPH patients, respectively.

2.5. Statistical Analysis

Statistical analyses were performed using IBM SPSS Statistics (version 26) and R Studio (version 3.6.3). Differences between groups for continuous data were analyzed by an Independent Samples T-test or the non-parametric Mann–Whitney U test where appropriate. Categorical data were analyzed with the Pearson Chi-square or Fisher’s Exact test. Values of p < 0.05 were considered as statistically significant.

3. Results

3.1. Patient Cohorts

Patients in the SAPH group had a mean mPAP on RHC of 37.4 ± 10.9 mmHg. As a result of individual matching, the two groups did not differ regarding sex, ancestry, and mean age. Significant differences, signifying more severe and fibrotic disease in SAPH, were present in the radiological Scadding stage, lung fibrosis score, and lung function parameters (Table 1).

3.2. Diagnostic Gene Panel

Figure 1 shows the number of variants remaining after each filtering step of the genetic analysis. Finally, twenty different rare variants were identified in the diagnostic PH gene panel and KCNA5 (see Table 2). Eighteen variants caused an amino acid substitution, and two variants (ACVRL1 c.-5–154 C > T and KDR c.3762 + 8 C > A) were intronic. Two variants were shared between patients; variant KCNA5 p.(R578K) was found in three different SAPH patients, and variant ACVRL1 c.-5–154C > T was present in two SAPH patients. Furthermore, two SAPH and two SA patients were each found to carry two variants. Clinical classification computed by the QCI software according to ACMG guidelines resulted in SAPH in seven variants of uncertain significance (so-called variant of unknown significance (VUS)) and six (likely) benign variants, and in SA six VUS and one likely benign variant. No (likely) pathogenic variants were found.
In total, 35.9% (14/39) of the SAPH patients carried at least one rare variant in a gene from the diagnostic panel, as compared to 12.8% (5/39) of the SA patients (p = 0.018). Baseline characteristics regarding lung abnormalities or hemodynamics did not differ between patients with and without a variant in the SAPH and in the SA group, though rare variants were more frequently present in white patients than in non-white patients (48.1% vs 8.3%; p = 0.03) (see Supplemental Table S1). There was no difference in the frequency of carrying a variant between SAPH patients without extensive pulmonary fibrosis on chest imaging (Scadding stage 0–3) and patients with fibrosis (Scadding stage 4) (p = 0.73).

3.3. Genes of Biological Relevance in PH

To explore the presence of rare variants in genes with biological relevance to PH pathogenesis, we analyzed 572 genes. The selection of genes that have rare variants in at least six SAPH patients and a maximum of two SA patients yielded five genes of interest: NOTCH3 (11 variants), PDE6B (9 variants), the X-chromosomal GUCY2F (5 variants), COL5A1 (4 variants), and MMP21 (3 variants). A total of 32 variants was found in these genes, all missense variants resulting in amino acid substitutions (see Table 3). A total of 21 SAPH patients and 6 SA patients carried at least one variant in these genes. Nine SAPH patients and one SA patient carried a variant in more than one gene, mostly two genes.
Conversely, selecting biologically relevant PH genes in which at least six SA patients and not more than two SAPH patients carry a variant yielded one gene, PDE4A (Phosphodiesterase 4A; see Supplemental Table S3). Six SA patients and two SAPH patients carried one variant in this gene.

4. Discussion

To our knowledge, we here present the largest genetic study of sarcoidosis-associated pulmonary hypertension so far. In a diagnostic PAH panel of 13 genes, we found a significantly higher number of rare variants in SAPH patients than in sarcoidosis patients without PH. In addition, in an exploratory approach, we found five genes in which 15% or more patients with SAPH carried a rare variant within 572 genes involved in PH pathogenesis: NOTCH3, PDE6B, GUCY2F, COL5A1, and MMP21.
The case-control set-up demonstrated that rare variants in the diagnostic panel were significantly more frequent in sarcoidosis patients with PH as compared to those without PH. Interestingly, the variants identified in the current study were not classified as pathogenic according to the ACMG guidelines [22]. Of note, the ACMG classification is used in clinical genetics for clinical decision-making: only in cases of a high degree of certainty about the pathogenicity of the variant are clinical consequences allowed. Therefore, only variants with high penetrance are considered (likely) pathogenic [22]. Although the variants identified here do not meet these criteria, all passed our filtering steps, including having a CADD score of at least 15, indicative of a probable deleterious effect. In congruence with this, most observed variants are predicted to cause amino acid substitutions. It is hence well possible that our variants do modify protein functioning and influence pathways involved in PH.
Several of the variants were described before. ENG p.(G191D) was found in 10 PAH patients by Pousada et al., whereby 9 out of 10 cases carried a second variant in BMPR2, ACVRL1, or KCNA5 [23]. It was also found in two Dutch families with hereditary hemorrhagic telangiectasia (HHT), but the role of this variant in the development of disease was unclear [24]. In the current study, we found this variant in one SAPH patient who additionally carried a variant in KCNA5 (p.(R578K)). This KCNA5 variant was previously described in patients with atrial fibrillation, but also in some healthy controls [25,26]. Functionally, the p.R578K variant has a significant but minor effect on channel gating and results in resistance to drug blocking [27]. Another variant that was found in ENG, p.(S615L) was observed in patients with HHT in numerous studies, often in combination with another variant in ENG or ACVRL1 [28,29,30,31]. Functional cell experiments on the p.S615L variant however showed no change in subcellular localization and no defect in the BMP9/ALK1 signaling pathway [28,32]. The ACVRL1 p.(A482V) variant was previously observed in multiple HHT studies, but, as supported by in vitro results, it is suggested to be a rare benign polymorphism [33,34,35,36].
Among the KDR variants that we detected, p.(V136M) was previously reported heterozygous in an Italian patient with vascular anomalies as a variant of uncertain significance [37]. The SMAD9 variant identified here in a patient without PH, p.(R226Q), was previously found in a patient with PAH who also carried a BMPR2 variant [38]. TBX4 p.(A35V) was previously found in a Dutch patient with adult-onset PAH and was classified as a variant of uncertain significance (VUS) [39]. However, this variant was here observed in a SA patient without PH. It therefore remains to be determined whether this patient is at increased risk of developing PH.
Interestingly, only one SAPH patient (2.6%) was found to carry a variant in BMPR2, whereas mutations in BMPR2 are the most common genetic cause of disease in both heritable (~75% of patients) [11,12] and in those initially diagnosed as idiopathic (12–14% of the patients) PAH [10,11]. Disease penetrance of pathogenic BMPR2 variants in hereditary PAH is approximately 27%, with female penetrance being three-fold that of male penetrance (42% and 14%, respectively [40]). Mutations in other PAH-related genes are rare with reported frequencies that are usually well below 1% [11,12].
A previous case study with four SAPH patients found that two of the four patients carried a mutation in BMPR2. However, these patients had a disease phenotype distinct from the majority of SAPH patients in our study, with severe PH (mPAP > 50 mmHg) and mild pulmonary involvement [13]. Our low frequency of BMPR2 variants is more in line with small studies on PH associated with connective tissue disease (CTD). Genotyping for 17 mutations in BMPR2 that cause primary PH did not detect any mutation in 12 patients with CTD [41], whereas Morse et al. found one potentially benign BMPR2 variant in a study of 24 patients with PH and a scleroderma spectrum of disease [42].
Our study indicates that currently recognized pathogenic mutations in the known PAH genes are not a common cause of SAPH. The rare variants of yet unknown significance that we identified in the diagnostic panel of genes might increase risk for the development of PH only in the context of sarcoidosis. Multiple variants observed here were previously reported, though usually without compelling evidence for pathogenicity and sometimes in combination with a second variant. This suggests that the variants in PH-associated genes that we detected in our SAPH cohort are not deleterious in healthy subjects but act as risk factors for the development of PH in the context of pulmonary sarcoidosis.
Searching for biologically relevant genes with increased variant frequency in SAPH patients yielded five genes of interest. Further research including replication is required before any causal role of these genes in SAPH can be inferred. Strikingly, the gene with the most rare variants in the SAPH group, NOTCH3, has been directly linked to PH before [43]. Two variants in the NOTCH3 gene were reported in childhood-onset PAH. Mutant cell lines showed that these two variants impaired NOTCH3 activity upon stimulation with its ligand Jagged1 and increased cell proliferation and viability. NOTCH3 protein levels were reduced, probably due to increased clearance speed [43]. NOTCH3 is highly expressed in vascular smooth muscle cells where it promotes cell proliferation, differentiation, and survival [44].The variant that was found in the two SA patients was actually predicted to have a gain-of-function effect, whereas the predicted effect of the variants in the SAPH patients was normal function or loss of function. However, increased NOTCH3 expression was observed in lung tissue in PAH patients, and increased levels correlated with pulmonary vascular resistance as a measure of disease severity [45]. Furthermore, Li et al. (2009) showed that NOTCH3 knockout mice, in contrast to wildtypes and heterozygotes, did not develop PH in response to hypoxic stimulation [45]. These findings point to a possible role for NOTCH3 in PH disease, and functional studies of the variants in this study are therefore of considerable interest.
Our study has several limitations. PH is a dynamic pathophysiological disorder, and it cannot be excluded that patients without PH at the time of the study may develop this at a later stage, exemplified by the SA patient without PH who was excluded from the study because of development of PH at a later time. Time between diagnosis of sarcoidosis and development of PH was found to be 12–17 years on average [3,46,47], whereas Baloira Villar et al. noted that this period was 4–6 years in their four-patient case study [13]. Furthermore, patients were not matched for disease severity or duration. We found PH displayed in patients with higher Scadding stages and more pulmonary fibrosis compared to patients without PH in our cohort. This is in line with previous studies [3,7,8] and represents the population as that which would be encountered in the clinic. Additionally, large deletions may have been missed in this study due to the method that was used. With the current small sample size and design, the findings are hypothesis generating. Hence, replication of these findings in other cohorts of SAPH patients are needed and would be of utmost interest.
Knowledge regarding the involvement of genetics in the development of SAPH is limited. The current study shows that genetic variants in genes implicated in PH are also present in SAPH patients with a variety of clinical phenotypes and are significantly more frequent than in sarcoidosis patients without PH. Therefore, we hypothesize that variants in PAH-associated genes may also play a role in the development of sarcoidosis-associated PH. Interestingly, several variants were also previously reported in PH patients, though not deemed pathogenic. Our findings hence suggest that SAPH patients do not carry variants that cause hereditary PAH but do carry rare variants in PH genes that may predispose them to the development of PH in the presence of existing pulmonary inflammation or damage. However, before translation to the clinic, further research to confirm the excess of rare variants in PH genes in SAPH patients as well as to determine their functional consequence is needed.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/diagnostics12102564/s1, Table S1: Baseline characteristics of SAPH patients with a variant in diagnostic gene panel compared to SAPH patients without a variant; Table S2: Baseline characteristics of SA patients with a variant in diagnostic gene panel compared to SA patients without a variant. Table S3: Overview of rare variants in biologically relevant genes in which ≥15% of the SA patients carry a rare variant.

Author Contributions

Conceptualization, K.G., M.P.H., J.J.v.d.V., R.P.B. and C.H.M.v.M.; Data curation, K.G., M.P.H. and R.P.B.; Formal analysis, K.G.; Funding acquisition, M.C.P., R.P.B. and C.H.M.v.M.; Investigation, R.P.B.; Methodology, K.G., J.J.v.d.V. and C.H.M.v.M.; Resources, M.C.P., J.C.G. and R.P.B.; Supervision, R.P.B. and C.H.M.v.M.; Validation, M.P.H. and M.C.P.; Writing—original draft, K.G., J.J.v.d.V. and C.H.M.v.M.; Writing—review and editing, K.G., M.P.H., J.J.v.d.V., M.C.P., J.C.G., R.P.B. and C.H.M.v.M. All authors have read and agreed to the published version of the manuscript.

Funding

R.P.B. received an unrestricted grant from Gilead for the SAPH registry. M.C.P. received funding form ZonMw Topzorg (project 842001006).

Institutional Review Board Statement

The study was approved by the Medical research Ethics Committees United (MEC-U) of the St. Antonius Hospital (R05–08A) and the University of Cincinnati (IRB 2013–3320).

Informed Consent Statement

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

Data Availability Statement

Data can be requested from the corresponding author.

Conflicts of Interest

K.G., M.P.H., J.J.v.d.V, J.C.G. and C.H.M.v.M declare no conflict of interest. M.C.P. receives funding from Janssen. R.P.B. had received funding from Gilead for maintaining the registry of sarcoidosis associated pulmonary hypertension. He has also received funding for studies of treatment of sarcoidosis associated pulmonary hypertension from Actelion, United Therapeutics, and Bayer.

References

  1. Baughman, R.P.; Culver, D.A.; Judson, M.A. A Concise Review of Pulmonary Sarcoidosis. Am. J. Respir. Crit. Care Med. 2011, 183, 573–581. [Google Scholar] [CrossRef] [Green Version]
  2. Galiè, N.; Humbert, M.; Vachiery, J.-L.; Gibbs, S.; Lang, I.; Torbicki, A.; Simonneau, G.; Peacock, A.; Vonk Noordegraaf, A.; Beghetti, M.; et al. 2015 ESC/ERS Guidelines for the Diagnosis and Treatment of Pulmonary Hypertension. Eur. Respir. J. 2015, 46, 903–975. [Google Scholar] [CrossRef]
  3. Huitema, M.P.; Bakker, A.L.M.; Mager, J.J.; Rensing, B.J.W.M.; Smits, F.; Snijder, R.J.; Grutters, J.C.; Post, M.C. Prevalence of Pulmonary Hypertension in Pulmonary Sarcoidosis: The First Large European Prospective Study. Eur. Respir. J. 2019, 54, 1900897. [Google Scholar] [CrossRef]
  4. Shorr, A.F.; Helman, D.L.; Davies, D.B.; Nathan, S.D. Pulmonary Hypertension in Advanced Sarcoidosis: Epidemiology and Clinical Characteristics. Eur. Respir. J. 2005, 25, 783–788. [Google Scholar] [CrossRef] [Green Version]
  5. Nunes, H.; Humbert, M.; Capron, F.; Brauner, M.; Sitbon, O.; Battesti, J.-P.; Simonneau, G.; Valeyre, D. Pulmonary Hypertension Associated with Sarcoidosis: Mechanisms, Haemodynamics and Prognosis. Thorax 2006, 61, 68–74. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Mathijssen, H.; Huitema, M.P.; Bakker, A.L.M.; Smits, F.; Mager, J.J.; Snijder, R.J.; Grutters, J.C.; Post, M.C. Clinical Phenotypes of Sarcoidosis-Associated Pulmonary Hypertension. Heart Lung Circ. 2021, 30, 1502–1508. [Google Scholar] [CrossRef]
  7. Sulica, R.; Teirstein, A.S.; Kakarla, S.; Nemani, N.; Behnegar, A.; Padilla, M.L. Distinctive Clinical, Radiographic, and Functional Characteristics of Patients with Sarcoidosis-Related Pulmonary Hypertension. Chest 2005, 128, 1483–1489. [Google Scholar] [CrossRef] [Green Version]
  8. Bourbonnais, J.M.; Samavati, L. Clinical Predictors of Pulmonary Hypertension in Sarcoidosis. Eur. Respir. J. 2008, 32, 296–302. [Google Scholar] [CrossRef] [Green Version]
  9. Huitema, M.P.; Grutters, J.C.; Rensing, B.J.W.M.; Reesink, H.J.; Post, M.C. Pulmonary Hypertension Complicating Pulmonary Sarcoidosis. Neth. Heart J. 2016, 24, 390–399. [Google Scholar] [CrossRef] [Green Version]
  10. Eyries, M.; Montani, D.; Nadaud, S.; Girerd, B.; Levy, M.; Bourdin, A.; Trésorier, R.; Chaouat, A.; Cottin, V.; Sanfiorenzo, C.; et al. Widening the Landscape of Heritable Pulmonary Hypertension Mutations in Paediatric and Adult Cases. Eur. Respir. J. 2019, 53, 1801371. [Google Scholar] [CrossRef]
  11. Gräf, S.; Haimel, M.; Bleda, M.; Hadinnapola, C.; Southgate, L.; Li, W.; Hodgson, J.; Liu, B.; Salmon, R.M.; Southwood, M.; et al. Identification of Rare Sequence Variation Underlying Heritable Pulmonary Arterial Hypertension. Nat. Commun. 2018, 9, 1416. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Austin, E.D.; Phillips, J.A.; Loyd, J.E. Heritable Pulmonary Arterial Hypertension Overview. GeneReviews®; 1993. Available online: https://pubmed.ncbi.nlm.nih.gov/20301658/ (accessed on 2 September 2022).
  13. Baloira Villar, A.; Pousada Fernández, G.; Núñez Fernández, M.; Valverde Pérez, D. Estudio Clínico y Molecular de 4 Casos de Hipertensión Pulmonar Asociada a Sarcoidosis. Arch. Bronconeumol. 2015, 51, e19–e21. [Google Scholar] [CrossRef] [PubMed]
  14. Martin, A.R.; Williams, E.; Foulger, R.E.; Leigh, S.; Daugherty, L.C.; Niblock, O.; Leong, I.U.S.; Smith, K.R.; Gerasimenko, O.; Haraldsdottir, E.; et al. PanelApp Crowdsources Expert Knowledge to Establish Consensus Diagnostic Gene Panels. Nat. Genet. 2019, 51, 1560–1565. [Google Scholar] [CrossRef] [PubMed]
  15. Costabel, U.; Hunninghake, G.W.; on behalf of the Sarcoidosis Statement Committee. ATS/ERS/WASOG Statement on Sarcoidosis. Eur. Respir. J. 1999, 14, 735. [Google Scholar] [CrossRef] [Green Version]
  16. Scadding, J.G. Prognosis of Intrathoracic Sarcoidosis in England. BMJ 1961, 2, 1165–1172. [Google Scholar] [CrossRef] [Green Version]
  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, 405–423. [Google Scholar] [CrossRef] [Green Version]
  18. Pousada, G.; Baloira, A.; Fontán, D.; Núñez, M.; Valverde, D. Mutational and Clinical Analysis of the ENG Gene in Patients with Pulmonary Arterial Hypertension. BMC Genet. 2016, 17, 7–9. [Google Scholar] [CrossRef] [Green Version]
  19. Letteboer, T.G.W.; Zewald, R.A.; Kamping, E.J.; de Haas, G.; Mager, J.J.; Snijder, R.J.; Lindhout, D.; Hennekam, F.A.M.; Westermann, C.J.J.; Ploos van Amstel, J.K. Hereditary Hemorrhagic Telangiectasia: ENG and ALK-1 Mutations in Dutch Patients. Hum. Genet. 2005, 116, 8–16. [Google Scholar] [CrossRef]
  20. Christophersen, I.E.; Olesen, M.S.; Liang, B.; Andersen, M.N.; Larsen, A.P.; Nielsen, J.B.; Haunsø, S.; Olesen, S.-P.; Tveit, A.; Svendsen, J.H.; et al. Genetic Variation in KCNA5: Impact on the Atrial-Specific Potassium Current IKur in Patients with Lone Atrial Fibrillation. Eur. Heart J. 2013, 34, 1517–1525. [Google Scholar] [CrossRef] [Green Version]
  21. Mann, S.A.; Otway, R.; Guo, G.; Soka, M.; Karlsdotter, L.; Trivedi, G.; Ohanian, M.; Zodgekar, P.; Smith, R.A.; Wouters, M.A.; et al. Epistatic Effects of Potassium Channel Variation on Cardiac Repolarization and Atrial Fibrillation Risk. J. Am. Coll. Cardiol. 2012, 59, 1017–1025. [Google Scholar] [CrossRef]
  22. Simard, C.; Drolet, B.; Yang, P.; Kim, R.B.; Roden, D.M. Polymorphism Screening in the Cardiac K+ Channel Gene KCNA5*. Clin. Pharmacol. Ther. 2005, 77, 138–144. [Google Scholar] [CrossRef] [PubMed]
  23. Mallet, C.; Lamribet, K.; Giraud, S.; Dupuis-Girod, S.; Feige, J.J.; Bailly, S.; Tillet, E. Functional Analysis of Endoglin Mutations from Hereditary Hemorrhagic Telangiectasia Type 1 Patients Reveals Different Mechanisms for Endoglin Loss of Function. Hum. Mol. Genet. 2015, 24, 1142–1154. [Google Scholar] [CrossRef] [PubMed]
  24. Richards-Yutz, J.; Grant, K.; Chao, E.C.; Walther, S.E.; Ganguly, A. Update on Molecular Diagnosis of Hereditary Hemorrhagic Telangiectasia. Hum. Genet. 2010, 128, 61–77. [Google Scholar] [CrossRef] [PubMed]
  25. Sadick, H.; Hage, J.; Goessler, U.; Stern-Straeter, J.; Riedel, F.; Hoermann, K.; Bugert, P. Mutation Analysis of “Endoglin” and “Activin Receptor-like Kinase” Genes in German Patients with Hereditary Hemorrhagic Telangiectasia and the Value of Rapid Genotyping Using an Allele-Specific PCR-Technique. BMC Med. Genet. 2009, 10, 53. [Google Scholar] [CrossRef] [Green Version]
  26. Gedge, F.; McDonald, J.; Phansalkar, A.; Chou, L.S.; Calderon, F.; Mao, R.; Lyon, E.; Bayrak-Toydemir, P. Clinical and Analytical Sensitivities in Hereditary Hemorrhagic Telangiectasia Testing and a Report of de Novo Mutations. J. Mol. Diagn. 2007, 9, 258–265. [Google Scholar] [CrossRef] [Green Version]
  27. Ali, B.R.; Ben-Rebeh, I.; John, A.; Akawi, N.A.; Milhem, R.M.; Al-Shehhi, N.A.; Al-Ameri, M.M.; Al-Shamisi, S.A.; Al-Gazali, L. Endoplasmic Reticulum Quality Control Is Involved in the Mechanism of Endoglin-Mediated Hereditary Haemorrhagic Telangiectasia. PLoS ONE 2011, 6, e26206. [Google Scholar] [CrossRef] [Green Version]
  28. Prigoda, N.L.; Savas, S.; Abdalla, S.A.; Piovesan, B.; Rushlow, D.; Vandezande, K.; Zhang, E.; Ozcelik, H.; Gallie, B.L.; Letarte, M. Hereditary Haemorrhagic Telangiectasia: Mutation Detection, Test Sensitivity and Novel Mutations. J. Med. Genet. 2006, 43, 722–728. [Google Scholar] [CrossRef] [Green Version]
  29. Ricard, N.; Bidart, M.; Mallet, C.; Lesca, G.; Giraud, S.; Prudent, R.; Feige, J.-J.; Bailly, S. Functional Analysis of the BMP9 Response of ALK1 Mutants from HHT2 Patients: A Diagnostic Tool for Novel ACVRL1 Mutations. Blood 2010, 116, 1604–1612. [Google Scholar] [CrossRef] [Green Version]
  30. Lesca, G.; Plauchu, H.; Coulet, F.; Lefebvre, S.; Plessis, G.; Odent, S.; Rivière, S.; Leheup, B.; Goizet, C.; Carette, M.F.; et al. Molecular Screening of ALK1/ACVRL1 and ENG Genes in Hereditary Hemorrhagic Telangiectasia in France. Hum. Mutat. 2004, 23, 289–299. [Google Scholar] [CrossRef]
  31. McDonald, J.; Gedge, F.; Burdette, A.; Carlisle, J.; Bukjiok, C.J.; Fox, M.; Bayrak-Toydemir, P. Multiple Sequence Variants in Hereditary Hemorrhagic Telangiectasia Cases: Illustration of Complexity in Molecular Diagnostic Interpretation. J. Mol. Diagn. 2009, 11, 569–575. [Google Scholar] [CrossRef]
  32. Mattassi, R.; Manara, E.; Colombo, P.G.; Manara, S.; Porcella, A.; Bruno, G.; Bruson, A.; Bertelli, M. Variant Discovery in Patients with Mendelian Vascular Anomalies by Next-Generation Sequencing and Their Use in Patient Clinical Management. J. Vasc. Surg. 2018, 67, 922–932.e11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Gómez, J.; Reguero, J.R.; Alvarez, C.; Junquera, M.R.; Arango, A.; Morís, C.; Coto, E. A Semiconductor Chip-Based Next Generation Sequencing Procedure for the Main Pulmonary Hypertension Genes. Lung 2015, 193, 571–574. [Google Scholar] [CrossRef] [PubMed]
  34. Kerstjens-Frederikse, W.S.; Bongers, E.M.H.F.; Roofthooft, M.T.R.; Leter, E.M.; Douwes, J.M.; Van Dijk, A.; Vonk-Noordegraaf, A.; Dijk-Bos, K.K.; Hoefsloot, L.H.; Hoendermis, E.S.; et al. TBX4 Mutations (Small Patella Syndrome) Are Associated with Childhood-Onset Pulmonary Arterial Hypertension. J. Med. Genet. 2013, 50, 500–506. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Larkin, E.K.; Newman, J.H.; Austin, E.D.; Hemnes, A.R.; Wheeler, L.; Robbins, I.M.; West, J.D.; Phillips, J.A.; Hamid, R.; Loyd, J.E. Longitudinal Analysis Casts Doubt on the Presence of Genetic Anticipation in Heritable Pulmonary Arterial Hypertension. Am. J. Respir. Crit. Care Med. 2012, 186, 892–896. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Tew, M.B.; Arnett, F.C.; Reveille, J.D.; Tan, F.K. Mutations of Bone Morphogenetic Protein Receptor Type II Are Not Found in Patients with Pulmonary Hypertension and Underlying Connective Tissue Diseases. Arthritis Rheum. 2002, 46, 2829–2830. [Google Scholar] [CrossRef]
  37. Morse, J.; Barst, R.; Horn, E.; Cuervo, N.; Deng, Z.; Knowles, J. Pulmonary Hypertension in Scleroderma Spectrum of Disease: Lack of Bone Morphogenetic Protein Receptor 2 Mutations. J. Rheumatol. 2002, 29, 2379–2381. [Google Scholar]
  38. Chida, A.; Shintani, M.; Matsushita, Y.; Sato, H.; Eitoku, T.; Nakayama, T.; Furutani, Y.; Hayama, E.; Kawamura, Y.; Inai, K.; et al. Mutations of Notch3 in Childhood Pulmonary Arterial Hypertension. Mol. Genet. Genom. Med. 2014, 2, 229–239. [Google Scholar] [CrossRef]
  39. Baeten, J.T.; Lilly, B. Notch Signaling in Vascular Smooth Muscle Cells. Adv. Pharmacol. 2017, 78, 351–382. [Google Scholar]
  40. Li, X.; Zhang, X.; Leathers, R.; Makino, A.; Huang, C.; Parsa, P.; Macias, J.; Yuan, J.X.-J.; Jamieson, S.W.; Thistlethwaite, P.A. Notch3 Signaling Promotes the Development of Pulmonary Arterial Hypertension. Nat. Med. 2009, 15, 1289–1297. [Google Scholar] [CrossRef] [Green Version]
  41. Boucly, A.; Cottin, V.; Nunes, H.; Jaïs, X.; Tazi, A.; Prévôt, G.; Reynaud-Gaubert, M.; Dromer, C.; Viacroze, C.; Horeau-Langlard, D.; et al. Management and Long-Term Outcomes of Sarcoidosis-Associated Pulmonary Hypertension. Eur. Respir. J. 2017, 50, 1700465. [Google Scholar] [CrossRef]
  42. Shlobin, O.A.; Kouranos, V.; Barnett, S.D.; Alhamad, E.H.; Culver, D.A.; Barney, J.; Cordova, F.C.; Carmona, E.M.; Scholand, M.B.; Wijsenbeek, M.; et al. Physiological Predictors of Survival in Patients with Sarcoidosis-Associated Pulmonary Hypertension: Results from an International Registry. Eur. Respir. J. 2020, 55, 1901747. [Google Scholar] [CrossRef] [PubMed]
  43. Adzhubei, I.; Jordan, D.M.; Sunyaev, S.R. Predicting Functional Effect of Human Missense Mutations Using PolyPhen-2; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2013; Volume 2, ISBN 0471142905. [Google Scholar]
  44. Kumar, P.; Henikoff, S.; Ng, P.C. Predicting the Effects of Coding Non-Synonymous Variants on Protein Function Using the SIFT Algorithm. Nat. Protoc. 2009, 4, 1073–1081. [Google Scholar] [CrossRef] [PubMed]
  45. Reva, B.; Antipin, Y.; Sander, C. Predicting the Functional Impact of Protein Mutations: Application to Cancer Genomics. Nucleic Acids Res. 2011, 39, e118. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Steinhaus, R.; Proft, S.; Schuelke, M.; Cooper, D.N.; Schwarz, J.M.; Seelow, D. MutationTaster2021. Nucleic Acids Res. 2021, 49, W446–W451. [Google Scholar] [CrossRef]
  47. Rentzsch, P.; Schubach, M.; Shendure, J.; Kircher, M. CADD-Splice—Improving Genome-Wide Variant Effect Prediction Using Deep Learning-Derived Splice Scores. Genome Med. 2021, 13, 31. [Google Scholar] [CrossRef]
Figure 1. Filtering of the variants. The number of variants in the analysis after each filtering step. The first filtering steps were performed using the Qiagen Clinical Insight (QCI) software. The final step consisted of visual inspection of each variant using the Integrative Genomics Viewer (IGV) tool.
Figure 1. Filtering of the variants. The number of variants in the analysis after each filtering step. The first filtering steps were performed using the Qiagen Clinical Insight (QCI) software. The final step consisted of visual inspection of each variant using the Integrative Genomics Viewer (IGV) tool.
Diagnostics 12 02564 g001
Table 1. Baseline characteristics of SAPH and SA patients. FVC % predicted: forced vital capacity % of predicted value; DLCO SB % predicted: single-breath diffusing capacity of the lung for carbon monoxide % predicted; Mean PAP: mean pulmonary arterial pressure; PVR: pulmonary vascular resistance; PCWP: pulmonary capillary wedge pressure; ND: parameter was not determined.
Table 1. Baseline characteristics of SAPH and SA patients. FVC % predicted: forced vital capacity % of predicted value; DLCO SB % predicted: single-breath diffusing capacity of the lung for carbon monoxide % predicted; Mean PAP: mean pulmonary arterial pressure; PVR: pulmonary vascular resistance; PCWP: pulmonary capillary wedge pressure; ND: parameter was not determined.
SAPH (n = 39)SA (n = 39)p-Value
Male, n (%) 19 (48.7)19 (48.7)1.00
Age mean (SD), y 59.2 (11.3)60.9 (10.9)0.50
AncestryWhite, n (%)27 (69.2)27 (69.2)1.00
Black, n (%)9 (23.1)9 (23.1)
Hindustan, n (%)3 (7.7)3 (7.7)
Scadding stage
(n = 38; n = 39)
0, n (%)2 (5.3)8 (20.5)0.016
1, n (%)4 (10.5)3 (7.7)
2, n (%)4 (10.5)9 (23.1)
3, n (%)2 (5.3)6 (15.4)
4, n (%)26 (68.4)13 (33.3)
Lung fibrosis score
(n = 38; n = 39)
<5%, n (%)9 (23.7)22 (56.4)<0.001
5–20%, n (%)1 (2.6)7 (17.9)
>20%, n (%)28 (73.7)10 (25.6)
FVC % predicted, mean (SD) (n = 37; n = 36) 66.6 (19.4)94.2 (23.1)<0.001
DLCO SB% predicted, mean, mean (SD)
(n = 32; n = 32)
47.8 (18.5)68.4 (15.2)<0.001
Mean PAP mmHg, mean (SD) 37.4 (10.9)ND
PVR Wood units, mean (SD) (n = 36; ND) 5.6 (3.1)ND
Cardiac output L·min-1, mean (SD) (n = 38; ND) 5.7 (1.8)ND
PCWP mmHg, mean (SD) (n = 37; ND) 9.7 (3.6)ND
Table 2. Variants in the diagnostic gene panel (a) SIFT: T= Tolerated; D = Damaging; A = Activating; (b) PolyPhen-2: B= Benign; PrD = Probably Damaging; PoD = Possibly Damaging; (c) Mutation Taster: D = Deleterious; B = Benign; (d) Mutation Assessor functional impact: N= Neutral; L= Low; M= Medium; H= High; Predicted functional impact high or medium is predicted functional; low or neutral is predicted non-functional. Predictions by SIFT [18], PolyPhen-2 [19], Mutation Taster2021 [20], or Mutation Assessor [21] indicating deleterious consequences are underlined. Carriers are of European ancestry except SAPH6 and SA41 (Hindustan) and SA71 (African American). (e) Variant classification according to ACMG 2015 guidelines as provided by QCI; P = Pathogenic; LP = Likely Pathogenic; VUS = Variant of Uncertain Significance; LB = Likely Benign; B = Benign. NA = not applicable.
Table 2. Variants in the diagnostic gene panel (a) SIFT: T= Tolerated; D = Damaging; A = Activating; (b) PolyPhen-2: B= Benign; PrD = Probably Damaging; PoD = Possibly Damaging; (c) Mutation Taster: D = Deleterious; B = Benign; (d) Mutation Assessor functional impact: N= Neutral; L= Low; M= Medium; H= High; Predicted functional impact high or medium is predicted functional; low or neutral is predicted non-functional. Predictions by SIFT [18], PolyPhen-2 [19], Mutation Taster2021 [20], or Mutation Assessor [21] indicating deleterious consequences are underlined. Carriers are of European ancestry except SAPH6 and SA41 (Hindustan) and SA71 (African American). (e) Variant classification according to ACMG 2015 guidelines as provided by QCI; P = Pathogenic; LP = Likely Pathogenic; VUS = Variant of Uncertain Significance; LB = Likely Benign; B = Benign. NA = not applicable.
GeneTranscriptNucleotide ChangeAmino Acid ChangedbSNPgnomAD FrequencyCADDSIFT aPPh2 bMutation Taster cMutation Assessor dVariant Classification eSAPH Carrier ID(s)SA Carrier ID(s)
KCNK3NM_002246.3c.418C>Ap.(L140M)rs7554861660.000025.5DPrDDMVUS-SA67
BMPR2NM_001204.7c.86A>Gp.(N29S)rs1128628200.000716.2TBBNLBSAPH5-
KDRNM_002253.4c.3762+8C>ANArs788018990.000317.0NANABNAVUS-SA71
KDRNM_002253.4c.2854G>Ap.(V952I)rs131294740.000020.0TBBNVUS-SA41
KDRNM_002253.4c.2837G>Ap.(R946H)rs1400417200.000228.7DPrDBNVUSSAPH1-
KDRNM_002253.4c.406G>Ap.(V136M)rs356369870.000724.1DPrDBMVUSSAPH6-
KDRNM_002253.4c.170G>Cp.(R57T)rs1390478090.001219.3TPoDBMVUS-SA41
ENGNM_000118.3c.1844C>Tp.(S615L)rs1480023000.001521.1TBBMLBSAPH10-
ENGNM_000118.3c.583G>Ap.(E195K)rs12559124410.000017.6TBBMVUSSAPH15-
ENGNM_000118.3c.572G>Ap.(G191D)rs413220460.009124.2DPrDBMBSAPH11-
KCNA5NM_002234.4c.188G>Tp.(G63V)rs7680620670.000020.1-BBNVUSSAPH34-
KCNA5NM_002234.4c.929C>Tp.(P310L)rs172154020.004018.2TBBLLBSAPH12-
KCNA5NM_002234.4c.1733G>Ap.(R578K)rs127204450.005417.2TBBMLBSAPH24;
SAPH13;
SAPH11
-
ACVRL1NM_001077401.2c.-159C>TNArs5422256980.000917.3NANABNAVUSSAPH23;
SAPH8
-
ACVRL1NM_000020.3c.1445C>Tp.(A482V)rs1391428650.001623.2DPrDBMLBSAPH26-
SMAD9NM_005905.6c.677G>Ap.(R226Q)rs782495750.001217.9ABBNVUS-SA77
EIF2AK4NM_001013703.4c.13C>Tp.(R5C)rs7467738450.000023.3NABBLVUSSAPH10-
EIF2AK4NM_001013703.4c.4792G>Ap.(A1598T)rs1045326564 21.0TBBNVUS-SA71
TBX4NM_018488.3c.104C>Tp.(A35V)rs1484242520.008916.5TBBNLB-SA58
TBX4NM_018488.3c.1094A>Gp.(H365R)rs14432740120.000025.5TPrDDMVUSSAPH17-
Table 3. Rare variants found in the exploratory case-control analysis in 572 genes biologically involved in PH pathogenesis. Genes biologically involved in PH pathways in which ≥15% of the SAPH patients carry a variant and no more than 5% (n = 2) of the SA patients do. (a) SIFT: T = Tolerated; D = Damaging; A = Activating; (b) PolyPhen-2: B= Benign; PrD = Probably Damaging; PoD = Possibly Damaging; (c) Mutation Taster: D = Deleterious; B = Benign; (d) Mutation Assessor functional impact: N = Neutral; L = Low; M = Medium; H = High; Predicted functional impact high or medium is predicted functional; low or neutral is predicted non-functional. Predictions by SIFT, PolyPhen-2, Mutation Taster, or Mutation Assessor indicating deleterious consequences are underlined. (e) Variant classification according to ACMG 2015 guidelines; P = Pathogenic; LP = Likely Pathogenic; VUS = Variant of Uncertain Significance; LB = Likely Benign; B = Benign. * D in transcript ENST00000429163.
Table 3. Rare variants found in the exploratory case-control analysis in 572 genes biologically involved in PH pathogenesis. Genes biologically involved in PH pathways in which ≥15% of the SAPH patients carry a variant and no more than 5% (n = 2) of the SA patients do. (a) SIFT: T = Tolerated; D = Damaging; A = Activating; (b) PolyPhen-2: B= Benign; PrD = Probably Damaging; PoD = Possibly Damaging; (c) Mutation Taster: D = Deleterious; B = Benign; (d) Mutation Assessor functional impact: N = Neutral; L = Low; M = Medium; H = High; Predicted functional impact high or medium is predicted functional; low or neutral is predicted non-functional. Predictions by SIFT, PolyPhen-2, Mutation Taster, or Mutation Assessor indicating deleterious consequences are underlined. (e) Variant classification according to ACMG 2015 guidelines; P = Pathogenic; LP = Likely Pathogenic; VUS = Variant of Uncertain Significance; LB = Likely Benign; B = Benign. * D in transcript ENST00000429163.
GeneTranscriptNucleotide ChangeAmino Acid ChangedbSNPgnomAD FrequencyCADDSIFT aPPh2 bMutation Taster cMutation Assessor dVariant Classification eSAPH Carrier ID(s)SA Carrier ID(s)
PDE6BNM_001145291.2c.35T>Cp.(L12P)--24.1-PrDDMVUSSAPH20-
PDE6BNM_001145291.2c.143G>Ap.(R48Q)rs1138428200.008215.4-BBLBSAPH1;
SAPH38
-
PDE6BNM_001145291.2c.373C>Gp.(P125A)rs284146060.007815.6-BBNBSAPH38-
PDE6BNM_001145291.2c.496G>Ap.(E166K)rs1157759830.009015.6-BBNLBSAPH1SA68
PDE6BNM_001145291.2c.706G>Ap.(G236S)rs755434390.000220.4-BBNVUSSAPH14-
PDE6BNM_001145291.2c.794G>Ap.(R265Q)rs1445627300.001126.1-PrDBLVUSSAPH12-
PDE6BNM_001145291.2c.1295C>Tp.(T432I)rs7751204950.000023.7-PoDB *MVUSSAPH34-
PDE6BNM_001145291.2c.2344G>Ap.(V782M)rs1451246260.000326.9-PrDDMVUS-SA41
PDE6BNM_001145291.2c.2524G>Ap.(G842S)rs3677095590.000022.3-BBLVUS-SA41
COL5A1NM_001278074.1c.278C>Tp.(A93V)rs413063970.008722.2DBBLLBSAPH28;
SAPH16
SA61
COL5A1NM_001278074.1c.2695G>Ap.(G899S)rs1499644910.001623.3TPoDBNLBSAPH38-
COL5A1NM_001278074.1c.4906G>Ap.(A1636T)rs1134521500.007329.1DPoDDHVUSSAPH40-
COL5A1NM_001278074.1c.5407G>Ap.(D1803N)rs617294950.006119.0ABBNLBSAPH30;
SAPH5
-
MMP21NM_147191.1c.1361C>Tp.(A454V)rs283813190.000222.3TBBMBSAPH31;
SAPH35;
SAPH39
SA80
MMP21NM_147191.1c.1046A>Gp.(E349G)rs283813020.002123.2DPoDBMLBSAPH21;
SAPH12
SA54
MMP21NM_147191.1c.290C>Tp.(A97V)rs5545011020.000617.4DBBMVUSSAPH27-
NOTCH3NM_000435.3c.6221C>Tp.(P2074L)rs1144473500.000321.9TBBNBSAPH33;
SAPH30
-
NOTCH3NM_000435.3c.5900T>Cp.(M1967T)rs3775890880.001226.9DPrDDNVUSSAPH28-
NOTCH3NM_000435.3c.5854G>Ap.(V1952M)rs1155822130.008827.3DPrDBLB-SA48;
SA68
NOTCH3NM_000435.3c.5284G>Ap.(V1762M)rs7564950840.003015.5TBBNLBSAPH27-
NOTCH3NM_000435.3c.4762A>Cp.(N1588H)-0.000926.3DPrDBMVUSSAPH11-
NOTCH3NM_000435.3c.4679G>Cp.(R1560P)rs785014030.009724.7TPrDBLLBSAPH35-
NOTCH3NM_000435.3c.3352A>Tp.(N1118Y)rs3769504470.000122.3DPrDBLVUSSAPH24-
NOTCH3NM_000435.3c.3088G>Ap.(G1030R)rs11798990180.008223.8DPrDDHVUSSAPH21-
NOTCH3NM_000435.3c.2039G>Ap.(R680H)rs104067450.000217.3TBBLLBSAPH30-
NOTCH3NM_000435.3c.1490C>Tp.(S497L)rs114207045-24.9TBBLBSAPH9-
NOTCH3NM_000435.3c.182G>Ap.(R61Q)rs12227639470.001518.0TBBNVUSSAPH12-
GUCY2FNM_001522.3c.2380G>Ap.(E794K)rs357268030.000128.5DPrDBMVUSSAPH24SA68
GUCY2FNM_001522.3c.1883G>Ap.(R628Q)rs78839130.000024.1DPrDBMVUSSAPH12-
GUCY2FNM_001522.3c.1720A>Cp.(K574Q)rs1395866650.004825.2DPrDBMVUSSAPH29-
GUCY2FNM_001522.3c.1483A>Cp.(N495H)rs1487688570.006720.2TBBLLBSAPH40;
SAPH39
-
GUCY2FNM_001522.3c.688C>Tp.(R230W)rs339734570.000022.7DPoDBLLBSAPH33-
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Groen, K.; Huitema, M.P.; van der Vis, J.J.; Post, M.C.; Grutters, J.C.; Baughman, R.P.; van Moorsel, C.H.M. Pulmonary Hypertension Associated Genetic Variants in Sarcoidosis Associated Pulmonary Hypertension. Diagnostics 2022, 12, 2564. https://doi.org/10.3390/diagnostics12102564

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Groen K, Huitema MP, van der Vis JJ, Post MC, Grutters JC, Baughman RP, van Moorsel CHM. Pulmonary Hypertension Associated Genetic Variants in Sarcoidosis Associated Pulmonary Hypertension. Diagnostics. 2022; 12(10):2564. https://doi.org/10.3390/diagnostics12102564

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Groen, Karlijn, Marloes P. Huitema, Joanne J. van der Vis, Marco C. Post, Jan C. Grutters, Robert P. Baughman, and Coline H. M. van Moorsel. 2022. "Pulmonary Hypertension Associated Genetic Variants in Sarcoidosis Associated Pulmonary Hypertension" Diagnostics 12, no. 10: 2564. https://doi.org/10.3390/diagnostics12102564

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Groen, K., Huitema, M. P., van der Vis, J. J., Post, M. C., Grutters, J. C., Baughman, R. P., & van Moorsel, C. H. M. (2022). Pulmonary Hypertension Associated Genetic Variants in Sarcoidosis Associated Pulmonary Hypertension. Diagnostics, 12(10), 2564. https://doi.org/10.3390/diagnostics12102564

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