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Article

Genetic Modifiers of Non-Penetrance and RNA Expression Levels in PRPF31-Associated Retinitis Pigmentosa in a Danish Cohort

by
Kristian Lisbjerg
1,*,
Karen Grønskov
2,
Mette Bertelsen
2,
Lisbeth Birk Møller
2 and
Line Kessel
1,3
1
Department of Ophthalmology, Copenhagen University Hospital-Rigshospitalet, 2600 Glostrup, Denmark
2
Department of Clinical Genetics, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark
3
Department of Clinical Medicine, University of Copenhagen, 2200 Copenhagen, Denmark
*
Author to whom correspondence should be addressed.
Genes 2023, 14(2), 435; https://doi.org/10.3390/genes14020435
Submission received: 29 December 2022 / Revised: 3 February 2023 / Accepted: 7 February 2023 / Published: 8 February 2023
(This article belongs to the Special Issue Ophthalmic Genetics, Epigenetics, and Disease)
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Abstract

:
(1) Background/aims: To examine potential genetic modifiers of disease penetrance in PRPF31-associated retinitis pigmentosa 11 (RP11). (2) Methods: Blood samples from individuals (n = 37) with PRPF31 variants believed to be disease-causing were used for molecular genetic testing and, in some cases (n = 23), also for mRNA expression analyses. Medical charts were used to establish if individuals were symptomatic (RP) or asymptomatic non-penetrant carriers (NPC). RNA expression levels of PRPF31 and CNOT3 were measured on peripheral whole blood using quantitative real-time PCR normalized to GAPDH. Copy number variation of minisatellite repeat element 1 (MSR1) was performed with DNA fragment analysis. (3) Results: mRNA expression analyses on 22 individuals (17 with RP and 5 non-penetrant carriers) revealed no statistically significant differences in PRPF31 or CNOT3 mRNA expression levels between individuals with RP and non-penetrant carriers. Among 37 individuals, we found that all three carriers of a 4-copy MSR1 sequence on their wild-type (WT) allele were non-penetrant carriers. However, copy number variation of MSR1 is not the sole determinant factor of non-penetrance, as not all non-penetrant carriers carried a 4-copy WT allele. A 4-copy MSR1 mutant allele was not associated with non-penetrance. (4) Conclusions: In this Danish cohort, a 4-copy MSR1 WT allele was associated with non-penetrance of retinitis pigmentosa caused by PRPF31 variants. The level of PRPF31 mRNA expression in peripheral whole blood was not a useful indicator of disease status.

1. Introduction and Background

PRPF31-associated retinal dystrophy, or retinitis pigmentosa 11 (RP11), is an autosomal dominantly inherited type of retinitis pigmentosa [1]. Retinitis pigmentosa (RP) is a genetically heterogeneous disorder, and variants in multiple different genes can be involved as the underlying cause of the disease [2]. Moreover, because of differences in genetic etiologies, disease mechanisms and clinical presentation in RP may differ [3]. RP is a progressive disorder, and the main symptoms are night blindness, constriction of visual fields, loss of visual acuity, and eventually, it can cause blindness. RP is a relatively rare condition, with a worldwide prevalence of around 1 in 4000 [4,5]. PRPF31 variants account for 5–10% of all dominant RP cases [6]. The primary pathogenic mechanism and cause of symptoms in RP11 cases are thought to be haploinsufficiency, where one wild-type allele is insufficient to drive normal protein production [7,8]. RP11 is characterized by a variable disease onset and an exponential decline of visual fields of 8–10% per year leading to legal blindness, and an incomplete disease penetrance is reported despite the dominant inheritance pattern [9,10,11].
Novel therapeutic options for inherited retinal diseases (IRDs) are advancing, as illustrated by the approved gene augmentation therapy voretigene-neparvovec for RPE65-related retinal dystrophy [12]. Additionally, they provide a dramatic change in the future perspectives for individuals with IRDs. A scientific emphasis on disease mechanisms is key for developing the best strategies for future treatments in the genetically diverse spectrum of RP and IRDs in general [13].
The PRPF31 gene encodes a pre-mRNA splicing factor involved in the coupling of the spliceosome. The gene spans 16 kb on chromosome 19q13.4 and consists of 14 exons encoding a protein of 499 amino acids [14]. The spliceosome modulates pre-mRNA splicing where the non-coding introns are removed and the exons are joined together to form mature mRNA [15]. Splicing of pre-mRNA is a critical step in protein synthesis, and PRPF31 is ubiquitously expressed in all tissues [16]; however, disease-causing variants in PRPF31 only result in retina-specific and non-syndromic disease [17,18]. Genetic variants in other genes encoding for splicing factors (PRPF3, PRPF4, PRPF6, PRPF8, RP9, snRNP200) can also lead to autosomal dominant RP, but PRPF31 variants are the most frequent cause of splicing-factor-related RP [19]. The majority of previously reported disease-causing variants in PRPF31 are truncating variants, resulting in nonsense mediated decay (NMD), or are null alleles [20,21], and this corresponds well with a disease mechanism of haploinsufficiency.
Non-penetrance has been observed in several families, leading to asymptomatic carriers of pathogenic PRPF31 variants [20]. Increased PRPF31 expression from the wild-type (WT) allele is hypothesized to be the explanatory factor for the non-penetrant carriers in RP11 families [22], and the importance of the WT allele was first observed in 1997 [23]. In this context, one might envision a theoretical threshold value for PRPF31, over which RP would be prevented, and below which the disease would manifest as RP [20]. Various genetic factors, both cis and trans, are thought to influence PRPF31 mRNA expression levels. One factor is a minisatellite repeat element (MSR1) located adjacent to the PRPF31 promoter [24]. The MSR1 is found as normal variants with three or four copies (copy number variation, CNV); a 4-copy WT allele is thought to be related to non-penetrance [24]. Another modifier gene, CNOT3, is also located at chromosome 19q13.4, 20 kB downstream to PRPF31, and is part of the Ccr4-Not complex involved in gene expression regulation. A high CNOT3 gene expression has been suggested to suppress PRPF31 expression [25], thus a relatively low level of CNOT3 may be associated with non-penetrance, but reports on this topic are contradictory, as others have not found this association [26].
In this study, we aimed to examine PRPF31 expression levels and possible modifiers in symptomatic and non-penetrant carriers of disease-causing variants in PRPF31 in a Danish cohort. With only one wild-type allele, the expression level of PRPF31 is predicted to be reduced, but it is unknown if disease presence or severity can be predicted from mRNA expression levels in peripheral whole blood. With mRNA expression analyses, we aimed to explore and investigate if a simple blood test can be used to identify a threshold for symptomatic disease. Furthermore, we aimed to investigate if MSR1 copy number variation on the WT allele is a useful predictor of disease penetrance, which could benefit the genetic counseling of RP11 families.

2. Materials and Methods

2.1. Subjects

Patients with RP caused by variants believed to be disease causing in the PRPF31 gene and their non-symptomatic first-degree relatives were included in the study. Participants were identified from national registries and previous studies [9,27]. Clinical information on RP status was confirmed from medical files. Relatives carrying the PRPF31 variant without any subjective symptoms of RP were identified as non-penetrant carriers (NPC). As not all NPCs had available clinical information, we chose to define NPC in this study from a patient-centered point-of-view and used the individuals’ subjective complaints as the starting point for inclusion as an NPC. The asymptomatic individuals experienced no night blindness, had no visual field issues, or other visual complaints. Relatives not carrying the family-specific PRPF31 variant were identified as non-carrier relatives (NCR). Some patients and relatives delivered a fresh blood sample, whereas others contributed with DNA samples obtained previously in relation to the clinical work-up of the family, see Figure 1. DNA samples had been stored at the biobank for hereditary eye diseases at the Kennedy Center. mRNA expression analyses were only possible if the subjects had participated in the clinical cross-sectional study, and thereby had their blood sample collected in the proper container for RNA isolation (PAX tube). The study was conducted at the Department of Ophthalmology and the Department of Clinical Genetics at Copenhagen University Hospital, Kennedy Center.

2.2. Genetic Testing and Classification

The majority of the molecular genetic testing had been performed in a previous study [27] using a next generation sequencing (NGS) panel of 125 genes known to be related to retinal dystrophies. For some individuals the genetic testing had been performed as part of clinical routine diagnostics, with a retinal dystrophy panel of 186 retinal dystrophy genes. A few samples had been analyzed by external laboratories. All variants were reevaluated and classified using the American College of Medical Genetics and Genomics (ACMG) classification [28], as well as updated ClinGen sequence variant interpretation working group recommendations (https://www.clinicalgenome.org/working-groups/sequence-variant-interpretation/, accessed on 29 December 2022). MLPA analysis was performed using the MRC-Holland kit P235 when a deletion or duplication was suspected from CNV analysis using NGS data (MRC-Holland, Amsterdam, Netherlands). Sanger sequencing or MPLA analysis, targeting the family-specific variant, was used to confirm variant status in relatives.

2.3. RNA Expression Analysis of PRPF31 and CNOT3

The expression levels of CNOT3 and PRPF31 were measured in attending participants (RP, n = 17 and NPC, n = 5) using quantitative real-time PCR (qRT-PCR). RNA was isolated from whole blood (in PAX tubes) using CMG-1084 total RNA kit including DNase treatment and analyzed on Chemagic 360 instrument (PerkinElmer, Waltham, MA, USA). Following RNA isolation, the RNA samples were kept at −80 degrees Celsius until use. Random hexamer primers were used for cDNA synthesis. Subsequently, amplification of cDNA, using FAM-labeled TaqMan probes and primers, specific for CNOT3 (Hs00248115_m1, Applied Biosystems, Waltham, MA, USA) and PRPF31 (Hs00210306_m1, Applied Biosystems, Waltham, MA, USA), was performed for the relative quantification of mRNA for the two genes. For normalization, a FAM-labeled TaqMan probe and primers specific for the endogenous GAPDH (Hs99999905_m1, Applied Biosystems) were used. The relative standard curve method was used to perform a relative quantification of the gene expression. Standard curves for PRPF31, CNOT3, and GAPDH assays were prepared using five samples of control cDNA, performed by threefold serial dilutions. All measurements were performed as technical triplicates. In this study we defined the expression level in the RP group as the reference when calculating fold-change to the non-penetrant carriers’ expression levels.

2.4. Copy Number of MSR1

For the MSR1-analysis, we analyzed DNA from all available family members to allow for analysis of segregation with disease or WT allele, see Supplementary Figure S1. A standard PCR reaction, with the primer 5′ FAM-GTTAGGGGTTTGGACTGC 3’ and a reverse primer 5’ GATGTGGCCACCAAATAC 3’, was used to perform PCR fragment analysis (AmpliTaq Gold, Applied Biosystems, Waltham, MA, USA), the number of copies of the MSR1 repeat element was determined by capillary electrophorese on ABI3730 equipment (Illumina, San Diego, CA, USA). The GeneMapper software (Applied Biosystems, Waltham, MA, USA) was used for the analysis. The 3-copy allele peak was at 462 bp, 4-copy allele peak at 500 bp. The method was previously reported by Rose et al. [24].

2.5. Statistical Methods

All analyses were performed with the statistical software R (R core team, Vienna, Austria) [29]. The relative gene expression results are reported as mean ± standard deviation (SD). Student’s t-test was used to compare the normalized relative quantified expression levels in the RP group with those in the non-penetrant carrier group. A t-test can be applied in small sample sizes [30] and the calculations were repeated with the non-parametric Wilcoxon’s rank sum test confirming similar results. The correlation between mRNA expression levels of PRPF31 and CNOT3 was described with Pearson’s correlation analysis. We analyzed the distribution of MSR1 repeat elements with Fisher’s exact test, and we used linear regression analysis to evaluate expression level against age. The level of significance was set to 0.05.

3. Results

We included 37 individuals with a PRPF31 variant classified as pathogenic or likely pathogenic, 30 had retinitis pigmentosa (RP) and seven were non-penetrant carriers (NPC). In addition, 10 first-degree relatives without the family-specific PRPF31 variant provided data for the MSR1 segregation analysis, see Figure 2. Twenty-two individuals provided a blood sample that could be used for mRNA expression analyses. The PRPF31 variants in this study have been previously reported [9], see also Supplement Table S1.

3.1. Expression Analyses of PRPF31 and CNOT3

We analyzed 22 samples (5 NPC, 17 RP). The mean ages of the subjects were 44.9 years (SD 18.2) in the RP group, and 47.0 years (SD 23.7) in the NPC group. We found no statistically significant difference in PRPF31 mRNA expression levels in whole-blood samples between RP patients and non-penetrant carriers. Nor was there a difference in CNOT3 expression levels, see Table 1. The results were confirmed with the non-parametric Wilcoxon’s rank sum test (PRPF31 levels, p = 0.7; CNOT3 levels, p = 0.5).
We calculated the fold change using the RP group as a reference and found a mean change of factor 1.1 (p = 0.66) in PRPF31 mRNA expression and a factor 1.3 (p = 0.27) change in CNOT3 mRNA expression. With both genes, the NPC group had a higher mean value than the RP group, but the fold changes were not significant, and ranges were comparable with great overlap, see Figure 3.
The statistical calculations on the mRNA expression analyses were repeated without the two RP individuals carrying the c.666_668del in frame deletion variant p.(Ile223del), because their results might include gene expression from the variant allele, which represent faulty mRNA. However, the results remained unchanged, and we found no statistically significant difference between the RP group and NPC in neither PRPF31 levels (p = 0.69), nor CNOT3 levels (p = 0.36).
For both the RP individuals and the non-penetrant carriers in our cohort, we found significant positive correlations between PRPF31 expression levels and CNOT3 expression levels, see Figure 4. The Pearson correlation coefficient in the RP group was r = 0.55 (p = 0.02) and for the NPCs the coefficient was r = 0.9 (p = 0.04).
The level of PRPF31 mRNA expression declined with age in affected individuals (p = 0.04) but not in non-penetrant carriers, where there was an insignificant increasing tendency (p = 0.16), see Figure 5. The level of CNOT3 mRNA expression did not change with age in any of the groups (data not shown).

3.2. MSR1 Analyses

Samples for MSR1 copy numbers were available from 47 subjects (12 families). Ten individuals were non-carriers of the PRPF31 variant believed to be disease-causing in the family. Of the 37 individuals with pathogenic PRPF31 variants, 20 had a 3/3 genotype, 16 had a 3/4 genotype, and one individual had a 4/4 genotype. In 3/4 genotype individuals, we used pedigrees to examine segregation and determine whether the 4-copy MSR1 were cis or trans to the PRPF31 variant, see examples in Supplemental Figure S1. Table 2 summarizes the distribution according to the WT and the mutant allele, respectively. In four related individuals with a 3/4 genotype, all of whom were affected with RP, we were not able to deduct from the pedigree, or from other information available, if the 4-copy allele was the WT or the PRPF31-variant allele. These individuals are not included in Table 2 or in the analyses below.
No individuals with symptomatic RP had a 4-copy WT allele. Both 3-copy and 4-copy WT alleles were found in non-penetrant carriers. The risk of symptomatic RP was significantly reduced for those who had a 4-copy WT allele compared to a 3-copy WT allele (Fisher’s exact test, p = 0.006). In contrast, MSR1 copy number variation on the PRPF31 variant allele did not contribute to disease penetrance, and we found no association between RP symptoms and MSR1 CNV on the mutant allele (Fisher’s exact test, p = 0.68). Variant alleles containing three or four copies of MSR1 were found in both RP and NPC. Two of the NPC individuals with the 4-copy WT genotype, from whom we had RNA, did not show a higher PRPF31 expression than other NPCs, and had a normalized PRPF31 mRNA expression below the average mRNA expression level in the RP group.

4. Discussion

Retinitis pigmentosa type 11 is a common cause of autosomal dominant RP that is characterized by the presence of non-penetrant carriers of disease-causing variants in the PRPF31 gene. The NPC may hold the key to understanding the disease process. Understanding who will develop retinitis pigmentosa and who will remain asymptomatic is of fundamental importance to affected families. Our findings support that having a 4-copy MSR1 on the healthy wild-type allele reduces the risk of developing symptomatic RP11. We found no difference in the PRPF31 mRNA expression in peripheral blood between non-penetrant carriers and RP11 individuals, suggesting that the PRPF31 mRNA expression may differ in different tissues, and that whole blood is not the optimal medium for monitoring the PRPF31 mRNA expression.
We found a clear indication that the 4-copy MSR1 allele is a protective factor against the development of symptomatic RP. This is in agreement with other studies. Four previous studies have analyzed MSR1 CNV in relation to non-penetrance of RP11 [24,26,31,32]. One study found that all 42 RP11 patients carried the MSR1 3/3 genotype and that 8 of the 29 asymptomatic individuals had one 4-copy WT allele [24]. Another study found that all 24 RP individuals had the 3/3 MSR1 genotype, while three out of five non-penetrant carriers had a 3/4 genotype, indicating that a 4-copy allele increased PRPF31 expression [26]. It was not stated whether the 4-copy allele was on the WT or mutant allele. A different study found that 19/35 symptomatic patients had a 3/4 genotype and that the 4-copy allele was always the mutant allele [31]. The last study reported one NPC with a 3/3 genotype [32]. Altogether, including our study, 51 individuals were found to have a homozygous, hemizygous, or heterozygous 4-copy MSR1 genotype; in 13 of these cases, the 4-copy were definitely on the WT allele, and all these individuals are reportedly non-penetrant. Still, MSR1 copy number is not the sole modifier of PRPF31 expression or disease penetrance, as not all non-penetrant carriers had a 4-copy MSR1 WT. We discovered no link between the MSR1 distribution and the normalized PRPF31 mRNA expression values in whole blood. Surprisingly, we observed that the two individuals with the 4-copy WT allele presented with a lower PRPF31 mRNA expression than the average expression level in the RP group.
The presence or absence of clinical disease in patients with disease-causing variants in PRPF31 is thought to be related to expression of PRPF31 from the wild-type allele. We did not find a significant difference in the relative quantification of PRFP31 mRNA expression levels between RP11 patients and NPC. However, according to the theory of haploinsufficiency, it is precisely a differential expression of PRPF31 that leads to non-penetrant carriers [20]. A study demonstrated that the relative PRPF31 mRNA expression in lymphoblastoid cell lines (LCLs) from 200 control individuals varied five-fold [33], indicating that a more highly expressive WT allele might be sufficient to avoid RP. Other studies have used immortalized lymphoblastoid cell lines (LCL) derived from peripheral blood to perform the mRNA expression analyses in carriers of PRPF31 variants, and demonstrated a significant difference in PRPF31 expression; with non-penetrant carriers having significantly higher mRNA expression levels than RP individuals [7,25,33,34,35,36]. This is clearly exemplified by one study (n = 7 RP + 3 NPC) which reported a 29–42% increase in PRPF31 expression in NPCs compared to RP individuals [35], and another study (n = 8 RP + 7 NPC) demonstrated a significant difference (p < 0.001) in mRNA copy number between the two groups [34]. Smaller studies (n = 5 RP + 6 NPC and n = 2 RP + 1 NPC), also using LCLs, found only a borderline significant difference [37] or no significant differences in PRPF31 mRNA expression [32], respectively.
We chose an assay based on whole peripheral blood to test if a simple blood test could be a useful indicator of disease, and to avoid bias from selection of specific cell lines when transforming the cells to lymphoblastoid cell lines [38]. A blood sample is easily applicable, quick to analyze, and could hypothetically be supportive when counseling patients and families with RP. However, PRPF31 mRNA expression levels differ between different cell types (retinal organoids, retinal pigment epithelium, retinal tissue, and fibroblasts) [26]. The PRPF31 expression level in fibroblasts is reportedly lower in RP11 subjects than in WT controls, but not lower than the levels in NPC [26]. Two studies have investigated PRPF31 expression from total RNA in blood, similar to our approach, and found that the levels in NPC were intermediate between RP individuals and the control group (n = 7 RP, 3 NPC, 8 controls) [39], and that PRPF31 expression levels were reduced in RP compared to controls (n = 3 RP, 9 controls, no NPC) [31].
Previous studies found that CNOT3 expression had an inverse correlation with PRPF31, suggesting that CNOT3 might have an inhibiting effect on PRPF31 expression [25,40]. Particularly, the CNOT3 rs4806718 polymorphism was suspected to correlate with non-penetrance, demonstrated in a study from 2012, which found a significant correlation (p = 0.04) [25]. Moreover, one study found, by linkage analysis, that inheritance of two “high expressive” CNOT3 alleles was associated with symptomatic RP [40]. Two other studies have investigated CNOT3 expression and found no correlation between non-penetrance and the rs4806718 polymorphism [26,32]. In our study we did not investigate specifically for the CNOT3 rs4806718 polymorphism, but we found CNOT3 mRNA expression to have a positive correlation with PRPF31 expression, and that CNOT3 expression levels were not correlated with non-penetrance. This was in line with the recent studies [26,32].
The contradictory results suggest that the disease mechanism for RP11 is not fully mapped and that there is a multifactorial basis for the phenotype, although WT gene expression is considered to be the primary cause [41]. Other genetic modifiers, in addition to those discussed in this paper, may affect the WT gene expression; for instance, not all NPCs carried an MSR1 4-copy WT allele. Moreover, dominant-negative effects of some genetic variants have been suggested to affect disease status [42,43]. In addition, the impact of age on PRPF31 gene expression and its contribution to the phenotype is also of interest. One study showed that expression levels of PRPF31 declined with age in retinal tissue [26], and our study highlighted a declining expression level in whole blood in RP11 subjects. In theory, this could imply that mild or subclinical disease might develop with age in some apparently NPC individuals. Our age analysis was only borderline significant, and if we omitted just one data point, the highest expression value, we would have lost significance and the implication of age is uncertain. Further research is needed to fully understand the complex interplay between various factors and their contribution to WT gene expression and to the phenotype of the disease.
The method used, RNA isolated from whole blood, has only been applied in very small RP11-cohorts and it is uncertain how blood expression levels reflect the eye tissue expression levels, which was one of the study’s limitations. Recruiting participants with a rare disease can be a challenge. Our study has a comparable or higher number of participants than other studies on PRPF31 expression analyses, but it is still a small cohort, and a larger sample size would have been beneficial. Furthermore, it would have been interesting to include non-carrier relatives or control subjects in the expression analysis, as well as to compare mRNA expression from other mediums across the same subjects. It was a limitation that we could only use subjective symptoms to identify NPCs, since we did not rule out or comment on potentially mild structural retinal changes. The primers used in this study were not specifically designed to circumvent disease-causing variants, which, in theory, means that our expression levels may have included defunct mRNA. We expect this risk to be low given that the vast majority of PRPF31 variants in our cohort result in null alleles, and also after the in frame deletion variant p.(Ile223del), which is not expected to lead to NMD, was omitted from the analysis, the results remained unchanged.
In conclusion, expression levels of PRPF31 mRNA in whole blood does not reflect disease penetrance in our cohort, and suggests, unfortunately, that a blood sample alone cannot be used to predict non-penetrance in RP11. Nevertheless, this study supports that a 4-copy MSR1 CNV cis with the WT allele is associated with non-penetrance of RP11 disease. To date symptomatic disease has not been described in individuals with a 4-copy MSR1 CNV on the wild-type allele. This suggests that the WT 4-copy MSR1 variant is a safe indicator of non-penetrance and may prove a useful tool in family counseling, which is particularly useful for family members in pre-symptomatic testing.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/genes14020435/s1, Figure S1: Pedigree examples; Table S1: PRPF31 variants.

Author Contributions

Conceptualization, K.L., K.G., M.B. and L.K.; methodology, K.L., K.G., M.B., L.B.M. and L.K.; validation, K.L., K.G., M.B., L.B.M. and L.K.; formal analysis, K.L.; investigation, K.L.; resources, K.L., K.G., M.B., L.B.M. and L.K.; data curation, K.L.; writing—original draft preparation, K.L.; writing—review and editing, K.L., K.G., M.B., L.B.M. and L.K.; visualization, K.L., K.G., M.B., L.B.M. and L.K.; supervision, K.G., L.B.M. and L.K.; project administration, K.L., K.G., M.B., L.B.M. and L.K.; funding acquisition, K.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fight for Sight, Denmark; Synoptik-Fonden; Danish Eye Research Foundation.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Danish Committee of Health Research Ethics in the Capitol region (file no. H-19032216) and the Center for Data Protection Compliance (file no. P-2019-323).

Informed Consent Statement

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

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author.

Acknowledgments

Thanks to laboratory staff at Rigshospitalet-Kennedy-Center for helping with genetic analyses, and thanks to all participating individuals.

Conflicts of Interest

The authors declare no conflict of interest.

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Genes 14 00435 g001 550
Figure 1. Illustration of the study workflow. mRNA expression analyses were dependent on whether the individual had a blood sample collected in a PAX tube. NPC: non-penetrant carrier. NCR: non-carrier relative.
Figure 1. Illustration of the study workflow. mRNA expression analyses were dependent on whether the individual had a blood sample collected in a PAX tube. NPC: non-penetrant carrier. NCR: non-carrier relative.
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Figure 2. Numbers of analyzed samples and the individuals’ RP status in each step of the study.
Figure 2. Numbers of analyzed samples and the individuals’ RP status in each step of the study.
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Figure 3. Boxplot of the relative expression in non-penetrant carriers and symptomatic RP individuals (affected). Levels are expressed in fold change with the RP group as reference (mean expression 1.0). PRPF31 (left) and CNOT3 (right). There is no statistical difference in expression levels between the two groups. The endogenous reference gene used was GAPDH.
Figure 3. Boxplot of the relative expression in non-penetrant carriers and symptomatic RP individuals (affected). Levels are expressed in fold change with the RP group as reference (mean expression 1.0). PRPF31 (left) and CNOT3 (right). There is no statistical difference in expression levels between the two groups. The endogenous reference gene used was GAPDH.
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Figure 4. mRNA expression levels in peripheral blood of CNOT3 and PRPF31. The non-penetrant carriers (NPC) are depicted as red dots and individuals with RP as blue dots.
Figure 4. mRNA expression levels in peripheral blood of CNOT3 and PRPF31. The non-penetrant carriers (NPC) are depicted as red dots and individuals with RP as blue dots.
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Figure 5. PRPF31 expression normalized to GAPDH plotted against age. There is a borderline significant effect (p = 0.04) of age on a decreasing normalized PRPF31 expression. The linear regression analysis is made on the data from the RP group (blue points), y = −0.013x + 1.73 (R2 = 0.25). Levels in non-penetrant carriers (red points) are not significantly changed with age (p = 0.16).
Figure 5. PRPF31 expression normalized to GAPDH plotted against age. There is a borderline significant effect (p = 0.04) of age on a decreasing normalized PRPF31 expression. The linear regression analysis is made on the data from the RP group (blue points), y = −0.013x + 1.73 (R2 = 0.25). Levels in non-penetrant carriers (red points) are not significantly changed with age (p = 0.16).
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Table
Table 1. Relative mean expression values, normalized to GAPDH, and unpaired two-tailed t-test significance between the groups.
Table 1. Relative mean expression values, normalized to GAPDH, and unpaired two-tailed t-test significance between the groups.
RP GroupNon-Penetrant CarriersFold Changep-Value
PRPF31, relative normalized mean ± SD1.14 ± 0.501.25 ± 0.551.10.66
CNOT3, relative normalized mean ± SD1.18 ± 0.461.51 ± 0.841.30.27
Table
Table 2. MSR1 CNV on the wild-type allele and the mutant allele in individuals with a PRPF31-variant.
Table 2. MSR1 CNV on the wild-type allele and the mutant allele in individuals with a PRPF31-variant.
MSR1 on Wild-Type AlleleRPNPC
4-copy on WT, n03
3-copy on WT, n264
MSR1 on PRPF31 Variant AlleleRPNPC
4-copy on mutant, n112
3-copy on mutant, n155
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Lisbjerg, K.; Grønskov, K.; Bertelsen, M.; Møller, L.B.; Kessel, L. Genetic Modifiers of Non-Penetrance and RNA Expression Levels in PRPF31-Associated Retinitis Pigmentosa in a Danish Cohort. Genes 2023, 14, 435. https://doi.org/10.3390/genes14020435

AMA Style

Lisbjerg K, Grønskov K, Bertelsen M, Møller LB, Kessel L. Genetic Modifiers of Non-Penetrance and RNA Expression Levels in PRPF31-Associated Retinitis Pigmentosa in a Danish Cohort. Genes. 2023; 14(2):435. https://doi.org/10.3390/genes14020435

Chicago/Turabian Style

Lisbjerg, Kristian, Karen Grønskov, Mette Bertelsen, Lisbeth Birk Møller, and Line Kessel. 2023. "Genetic Modifiers of Non-Penetrance and RNA Expression Levels in PRPF31-Associated Retinitis Pigmentosa in a Danish Cohort" Genes 14, no. 2: 435. https://doi.org/10.3390/genes14020435

APA Style

Lisbjerg, K., Grønskov, K., Bertelsen, M., Møller, L. B., & Kessel, L. (2023). Genetic Modifiers of Non-Penetrance and RNA Expression Levels in PRPF31-Associated Retinitis Pigmentosa in a Danish Cohort. Genes, 14(2), 435. https://doi.org/10.3390/genes14020435

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