Genetic Testing of Inherited Retinal Disease in Australian Private Tertiary Ophthalmology Practice.

Background: To assess the prevalence of genetic testing for inherited retinal diseases (IRDs) in a tertiary practice setting.
Methods: Single-centre retrospective analysis of patients with diagnosed or suspected IRD.
Results: Four hundred and sixty-four patient records were analysed. Patients had received care for different IRDs grouped as follows: panretinal pigmentary retinopathies (283, 61%), macular dystrophies (136, 29.3%), stationary diseases (23, 5%), hereditary vitreoretinopathies (14, 3%), and other IRDs (8, 1.7%). The suspected pattern of inheritance of patients' IRD was predominantly autosomal recessive (205, 44.2%). Genetic testing was performed with the corresponding results available for 44 patients (9.5%). Diagnostic yield was 65.9% for the results received. Genetic test results were available mostly for younger patients (13.1% for <45 years vs 6.2% ≥45 years of age, p = 0.01) and those who received greater than 12 months of care (16% for ≥12 months vs 4% for <12 months, p < 0.01). For patients without genetic testing results, reasons include awaiting a geneticist consultation (17.9%), awaiting test results (4.5%), or patient refusal (8.4%). Most clinical records (69.2%) did not document genetic testing status.
Conclusion: Genetic testing is increasingly being utilised in the work-up for patients with IRD worldwide. This large Australian private practice IRD cohort shows a low uptake of testing (around 10%), reflecting historical management patterns and accessibility of genetic counselling and testing. The results show that younger patients and those with a longer duration of care were more likely to have received genetic testing. As the importance of IRD genetic testing continues to increase, we expect to see a change in patient management within the Australian private ophthalmology system and testing rates to increase. Further research is required to identify and address clinician and patient barriers to improving genetic testing rates for IRD.

Introduction

Inherited retinal diseases (IRDs) are a group of heterogeneous degenerative retinal conditions estimated to occur in up to 1 in 1000 individuals.1,2 IRDs are now the most common cause of legal blindness in adults of working age in Australia3 and the United Kingdom (UK).4 Previous experimental treatments for IRD have included Vitamin A supplementation, valproate,5 ciliary neurotrophic factor supplementation6 and electrical stimulation through the skin7 or cornea,8 but their efficacies are unclear, and none have reached regulatory approval.

Recently, gene augmentation therapy for RPE65-associated IRD (Leber Congenital Amaurosis) has been approved by the United States (US) Food and Drug Administration (FDA, 2017), European Medicines Agency (2018), and the Therapeutic Goods Administration in Australia (2020). This has accelerated the development of further gene therapies for other forms of IRD, including gene augmentation, gene editing (CRISPR/Cas9) and RNA-based therapies.9 Currently, there are over 30 active clinical trials for gene therapy for patients with IRD.10

Assessment of eligibility for ocular gene therapies requires identification of patients’ pathogenic genetic variant. Therefore, genetic testing is recommended as standard of care in Australia11 and internationally.12 In addition to exploring potential gene therapy opportunities, genetic testing is recommended to confirm the clinical diagnosis and inheritance of the condition, which may inform prognosis for patients and their family members, including family planning considerations.13–15

Genetic testing has evolved over the years, allowing case-by-case selection of appropriate molecular testing strategies.16 While Sanger sequencing is typically chosen for suspected monogenic disorders, more advanced methods such as next-generation sequencing (NGS) and whole-exome sequencing (WES) are available for patients with uncertain clinical diagnoses and/or inheritance patterns.16 These novel methods have increased the success rate of IRD genetic testing (defined as identification of at least one pathogenic variation) to between 56% and 76% in most developed countries.14,17–19 The success of genetic testing in identifying the disease-causing variant varies depending on patients’ specific diagnosis,17 age,20 and whether the responsible gene and/or pathogenic variant has been previously identified in IRD patients and/or family members.21 New developments in testing methodology and gene therapy have further highlighted the important role of genetic testing for IRDs.

A recent study by Strait et al (2020) explored self-reported genetic testing practices of optometrists and ophthalmologists managing patients with IRDs in the US.15 Respondents indicated that while there are discussions surrounding genetics (64.7% and 70.6% of the clinicians reported taking family history of IRD and explaining inheritance patterns to their IRD patients, respectively), 78.4% of the clinicians have not ordered genetic testing for their patients with IRD.15 Reported reasons for not completing genetic testing included the opinion that genetic test results do not alter IRD patients’ clinical management, lack of clinicians’ confidence in their ability to order the appropriate test, preference to refer to experienced clinicians, and/or patient refusal.15

To our knowledge, there are no studies exploring the rate and outcomes of IRD genetic testing ordered by Australian ophthalmologists in a clinical private tertiary care setting. This study sought to evaluate the current prevalence of genetic testing, distribution of IRDs and genetic diagnoses in a private tertiary retinal practice in Victoria, Australia. This should be taken as an indication of historical referral processes, when genetic testing was not key in the management of IRD. We aim to reassess in several years to observe the changes following the recent Royal Australian and New Zealand College of Ophthalmologists (RANZCO) IRD management guidelines,11 which have highlighted the need for more widespread genetic testing with the availability of gene-based therapies for these patients.

Methods

This retrospective analysis involved evaluation of electronic medical records of pre-existing patients of Eye Surgery Associates, a large private ophthalmic practice in Victoria, Australia, with 18 sub-specialty ophthalmologists. Patients are referred to this clinic for tertiary level medical retina care and/or diagnostic retinal electrophysiology services.

The senior author and ophthalmologist HM completed a search of the practice’s electronic database (VIP.net Version Ruby, Best Practice Software, Bundaberg, QLD) to identify all confirmed or suspected IRD patients seen between 1995 and 2021 using the following search terms: retinitis pigmentosa (or abbreviation, RP), retinal dystrophy, cone dystrophy, cone-rod dystrophy, macular dystrophy, Best, Stargardt, congenital stationary night blindness, monochromat, achromatopsia, Bietti, choroideremia, familial exudative vitreoretinopathy, Usher, Wagner, gyrate and Sorsby.

After removing duplicate records, clinical records were reviewed by HM for accuracy of diagnosis, and those with incorrect or uncertain diagnoses as documented by clinicians were excluded, including 20 cases of possible adult vitelliform macular dystrophy, which were not possible to distinguish from age-related macular degeneration from clinical records.

Data Collection

A two-stage clinical record review was undertaken by the senior author (HM), followed by two co-first authors experienced in IRD (YJ, SG). The analysis was completed between June and August 2021. The senior author (HM) is an experienced ophthalmologist in the management of medical retina disorders, particularly IRDs. Both co-first authors are optometry trained with further training in research (MPhil, SG) and medicine (MD, YJ). Data were captured as documented in the clinical records by the treating clinician. Unclear records (n=10) were discussed by the broader research team (YJ, SG, HM, LA, ACBJ) to obtain consensus.

The following de-identified information was collected, based only upon information available in the patient record: patient age, gender (female, male, non-binary), duration of care at the practice (months), clinical diagnosis of IRD, suspected mode of inheritance, history of consanguinity, and genetic testing results for the patient and/or family members. Suspected mode of inheritance was determined through family history (), and when present, genetic test results of the patient and their family members.

If a genetic test report was available, the following data were collected: testing methodology (NGS, WES, Sanger sequencing, microarray, unknown), clinical grade or research grade testing, and whether the pathogenic or likely pathogenic variant was identified.

If no genetic test results were available, the status of planned testing was captured (awaiting geneticist, awaiting test results, patient refused, or not further specified). Clinical records that did not capture whether genetic testing was ordered or the patient’s response to genetic testing, were considered “not further specified.”

Data Management and Privacy

De-identified data were collected using REDCap, a secure web application for building and managing online surveys and databases. REDCap includes a full analysis trail and specified user-based privileges. Access to study data in REDCap was restricted to the members of the study team. Only de-identified data was exported for the purposes of analysis and reporting.

Statistical Analysis

De-identified data were imported into R (R Core Team, Vienna, Austria) for descriptive statistical analyses. IRD clinical diagnosis was grouped into panretinal pigmentary retinopathies, macular dystrophies, stationary diseases, and hereditary vitreoretinopathies according to Coco-Martin et al.22

Age subgroups are presented as young patients (less than 45 years of age) versus older patients (45 years and older) as an appropriate cut-off age for family planning23 and childbearing.24 The distribution of the data was explored and comparison between subgroups was performed using Wilcoxon rank sum test for non-parametric continuous variables and Fisher exact test for categorical variables. An alpha value of 0.05 was used to define statistical significance. Binary logistic regression was performed using IBM SPSS Statistics for Windows, version 27 (IBM Corp., Armonk, NY, USA), to calculate the odds of patients having had genetic testing based on patients’ gender, age, and duration of care.

Ethics

All patients had provided written consent for their health information to be used for research, and audit purposes at the time of their initial visit at Eye Surgery Associates, therefore, were not re-contacted for consent specifically for this study. Ophthalmologists of all reviewed patients gave permission for record access. This study was approved by the Human Research Ethics committee of the RANZCO (#124.21) and abided by the Declaration of Helsinki.

Results

An initial search of the database containing 194,716 unique patient records at Eye Surgery Associates revealed 541 patients with an IRD. Exclusion of incomplete patient records and/or incorrect or uncertain clinical diagnoses resulted in 464 patient records in this retrospective study.

Demographic variables are presented in Table 1. Approximately half of the patients were male (239, 51.5%). Included patients had a median age of 46 years (interquartile range [IQR]: 28–60) and a median duration of care of 5 months (IQR: 0–63 months). Based on clinical diagnosis, patients were grouped as having panretinal pigmentary retinopathies (284, 61.2%), macular dystrophies (137, 29.5%), stationary diseases (23, 5%), hereditary vitreoretinopathies (14, 3%), and other IRDs (6, 1.3%). The suspected pattern of inheritance of patients’ IRD was predominantly autosomal recessive (205, 44.2%), followed by autosomal dominant (60, 12.9%), X-linked (22, 4.7%), and mitochondrial (6, 1.3%). There were patients with unknown (85, 18.3%) or multiple (86, 18.5%) possible modes of inheritance based on clinical records (Figure 1). Consanguinity was noted in a small percentage of patients (17, 3.6%).

Table 1

Demographics of All Patients and as Categorised by Age (Less Than 45 Years of Age, 45 Years or Older)

	Less Than 45 Years of Age	45 Years of Age or Older	Total	p-value
	(n=221)	(n=243)	(n=464)
Age, years median (IQR)	28 (20–36)	60 (53–69.5)	46 (28–60)
Gender, n (%)				<0.01
Male	128 (57.9%)	111 (45.7%)	239 (51.5%)
Female	93 (42.1%)	132 (54.3%)	225 (48.5%)
Duration of care, months, median (IQR)	1 (0–40)	13 (0–84)	5 (0–63.25)
Less than 12 months	135 (61.1%)	117 (48.1%)	252 (54.3%)	<0.01
12 months or more	86 (38.9%)	126 (51.9%)	212 (45.7%)
Genetic testing performed, n (%)	29 (13.1%)	15 (6.2%)	44 (9.5%)	0.01
Clinical Diagnosis, n (%)
Panretinal pigmentary retinopathies	137 (62%)	147 (60.5%)	284 (61.2%)	0.78
Retinitis pigmentosa/rod-cone dystrophy	99 (44.8%)	122 (50.2%)	221 (47.6%)
Cone-rod dystrophy	11 (5.0%)	9 (3.7%)	20 (4.3%)
Cone dystrophy	9 (4.1%)	11 (4.5%)	20 (4.3%)
Other Panretinal pigmentary retinopathies†	18 (8.1%)	5 (2.3%)	23 (5.0%)
Macular dystrophies	53 (24%)	84 (34.6%)	137 (29.5%)	<0.01
Macular atrophy/dystrophy with flecks	26 (11.8%)	30 (12.3%)	56 (12.1%)
Macular atrophy/dystrophy without flecks	20 (9%)	25 (10.3%)	45 (9.7%)
Other macular dystrophies ‡	7 (3.2%)	29 (11.9%)	36 (7.8%)
Stationary diseases	19 (8.6%)	4 (1.6%)	23 (5%)	<0.01
Congenital stationary night blindness	13 (5.9%)	1 (0.4%)	14 (3%)
Achromatopsia/dyschromatopsia	6 (2.7%)	3 (1.2%)	9 (1.9%)
Hereditary vitreoretinopathies	9 (4.1%)	5 (2.1%)	14 (3%)	0.28
Familial exudative vitreoretinopathy	7 (3.2%)	3 (1.2%)	10 (2.2%)
X-linked retinoschisis	2 (0.9%)	2 (0.8%)	4 (0.9%)
Other ¥	3 (1.2%)	3 (1.2%)	6 (1.3%)

Notes: †Other Panretinal pigmentary retinopathies include: Bietti’s crystalline corneoretinal dystrophy (n=1), choroideremia (n=5), Leber’s congenital amaurosis (n=7), Retinitis punctata albescens (n=3), S-cone/Goldman favre (n=4), gyrate atrophy (n=2), and “bilateral retinal dystrophy” as the documented diagnosis on the patient’s clinical records (n=1). ‡ Other macular dystrophies include Best’s vitelliform macular dystrophy (n=17), benign concentric annular macular dystrophy (n=5), butterfly-shaped pattern dystrophy (n=7), central areolar choroidal dystrophy (n=1), and bull’s eye maculopathy (n=5), and “macular dystrophy” as the documented diagnosis on the patient’s clinical records (n=1). ¥ Other clinical diagnoses include Wagner’s vitreoretinopathy (n=2), abetalipoproteinaemia (n=1), late-onset retinal degeneration (n=1), Batten disease with retinal involvement (n=1), and mucopolysaccharidosis II with retinal involvement (n=1).

Abbreviation: IQR; interquartile range.

Figure 1

Suspected mode of inheritance of inherited retinal disease, based upon genetic test results, family history of inherited retinal disease, or clinicians’ suspected mode of inheritance (as documented). Data presented as n, (%).

In the study cohort, there was a predominance of younger males (less than 45 years of age) and older females (45 years or older). Age-stratified analysis showed that the younger patients were less likely to have attended the practice for more than a year (younger vs older: 61.1% vs 48.1%, p<0.01) but more likely to have genetic testing performed (13.1% vs 6.2%, p=0.01) than older patients. Younger patients were also more likely to have received care for stationary disease (8.6% vs 1.6%, p<0.01). More patients in the older age group had macular dystrophies (34.6% vs 24%, p<0.01); however, the number of patients with panretinal pigmentary retinopathies (60.5% vs 62%, p=0.78) was similar in both groups.

Genetic Testing

Genetic testing results were available in patients’ clinical records for 44 patients (9.5%). Genetic testing was performed mostly for patients less than 45 years of age (13.1% for <45 years vs 6.2% ≥45 years of age, p=0.01) and those with duration of care of 12 months or longer (16% for ≥12 months of care vs 4% for <12 months of care, p<0.01). For three patients, immediate family members had genetic testing results available. While clinical information from a family member or research grade testing is useful in a clinical setting, only patients who have undergone clinical testing themselves were included in this analysis.

Reasons for not having genetic testing results available were documented as: awaiting an appointment with a geneticist (75, 17.9%), awaiting test results following sample collection (19, 4.5%), and patient refusal of genetic testing (35, 8.4%). However, in most cases, the reason was “not further specified” (290, 69.2%) (Figure 2).

Figure 2

Documented reasons for absence of genetic test results, n (%). Awaiting geneticist and test results indicate patient has been referred for genetic testing, however, has not been seen or has not received results yet. “Not further specified” indicates that counselling regarding genetic testing was not documented on patients’ clinical records. Results presented as n, (%).

Multivariate logistic regression revealed that younger patients (OR: 2.95, p<0.01) and those with duration of care of 12 months or longer (OR: 5.48, p<0.01) are more likely to have had genetic testing performed (Table 2). There was no association between gender and the likelihood of patients having genetic testing results available (univariate OR: 0.79, p=0.46).

Table 2

Univariate and Multivariate Logistic Regression Assessing Predictors of Having Genetic Testing Results Among Patients

	Univariate Analysis		Multivariate Analysis
	OR (95% CI)	p-value	OR (95% CI)	p-value
Gender
Male	Ref		-	-
Female	0.79 (0.422–1.477)	0.46
Age
45 or over	Ref		Ref
Less than 45	2.30 (1.196–4.408)	0.01	2.95 (1.502–5.807)	<0.01
Duration of care
Less than 12 months	Ref		Ref
12 months or over	4.62 (2.225–9.603)	<0.01	5.48 (2.598–11.569)	<0.01

Of the genetic testing results obtained, 43.2% were clinical grade and 6.8% were research grade; however, for 50% of the genetic tests, this information was not documented in the patient’s clinical record or genetic report. In this cohort, the diagnostic yield of genetic testing was 65.9%. Among the genes identified, the most common was ABCA4 (13.6%), followed by BEST1 and USH2A (6.8% each), MFRP, RHO, CRB1 (4.5% each) and BBS1, BBS9, CHM, CNGA3, CRX, CSPP1, EYS, HFE, IFT2, INPP5E, FSCN2, MT-ND5, MT-TL1, NMNAT1, PEX7, PRPF8, PRPS1, RGR, RP1, RP1L1, RPGR, SPATA7 (2.3% each). In all cases, the ABCA4 gene variant was determined to be pathogenic from laboratory reports, and there were two to three pathogenic variants identified per patient. No further familial testing data was reported within the clinical records for any of the patients with an ABCA4 gene mutation. Two patients had only one ABCA4 mutation identified; therefore, these patients were not included in the diagnostic yield of genetic testing reported. In 31.8% of the genetic reports, the disease-causing variant was not documented or undetected. The most common genes and their frequency in our cohort are summarised in Table 3.

Table 3

Frequency of Genes Identified During Genetic Testing

Causative Genes Identified	Frequency Identified in Testing†	% of Cohort (n=44)	Pathogenic (P), Likely Pathogenic (LP), Variant of Unknown Significance (VUS)‡
ABCA4	6	13.6%	P: 100%
BEST1	3	6.8%	P: 50%; LP: 50%
USH2A	3	6.8%	VUS: 33%; LP: 66%
CRB1	2	4.5%	P: 50%; LP: 50%
MFRP	2	4.5%	LP: 100%
RHO	2	4.5%	P: 100%
BBS1	1	2.2%	P: 100%
BBS9	1	2.2%	P: 100%
CHM	1	2.2%	LP: 100%
CNGA3	1	2.2%	P: 100%
CRX	1	2.2%	LP: 100%
CSPP1	1	2.2%	P: 100%
EYS	1	2.2%	P: 100%
IFT2	1	2.2%	P: 100%
INPP5E	1	2.2%	P: 100%
FSCN2	1	2.2%	P: 100%
MT-ND5	1	2.2%	P: 100%
MT-TL1	1	2.2%	LP: 100%
NMNAT1	1	2.2%	LP: 100%
PEX7	1	2.2%	LP: 100%
PRPF8	1	2.2%	P: 100%
PRPS1	1	2.2%	P: 100%
RGR	1	2.2%	VUS: 100%
RP1	1	2.2%	LP: 100%
RP1L1	1	2.2%	P: 100%
RPGR	1	2.2%	P: 100%
SPATA7	1	2.2%	VUS: 100%
Disease-causing variant not identified	15	34.1%	N/A

Notes: †Pathogenicity was determined based on the genetic testing report obtained from the testing laboratory and/or geneticist or genetic counsellor and not by the respective clinician. ‡ Some patients had multiple genes identified.

Discussion

This retrospective, single centre study presents data of the frequencies of IRD at a private subspecialty tertiary referral retinal practice, servicing predominantly Victoria, Australia. To our knowledge, this is the first Australian study reporting genetic test ordering in a large tertiary practice with a large database of patients with IRD. This information is valuable for ophthalmologists and other healthcare professionals to reflect on their current genetic test ordering and the benefits of identifying patient-specific variants. The rate of genetic testing results was 9.5%, which lags behind similar cohorts in developed countries such as the US (55%)25 and Spain (26.85%).26 This is likely due to several factors: the very recent approval of gene-based therapies that require this information (voretigene neparvovec-rzyl approved in Australia in 2020), improvements in genetic testing technologies, and slower introduction of genetic testing programs in Australia. Sponsored IRD genetic testing programs were introduced in Australia in 2021 but have been available overseas for several years. Access to free testing for patients undoubtedly has the potential to increase genetic testing uptake. In addition, the RANZCO guidelines for IRD management,11 which emphasise the importance of genetic testing for a broader group of patients than previously thought beneficial, will change future practice. Finally, this practice is a specialist tertiary care provider, where patients are often referred for specialised testing (such as electrophysiology or confirmation of diagnosis, etc). Hence, there is a high percentage of single-visit patients in this cohort, which means it is less likely that genetic testing would have been discussed. The results of this study are intended as a benchmark of historical practice (1995–2021), and we will reassess in the future to determine the changes due to the above factors.

The predominant phenotypic diagnosis in this patient cohort was retinitis pigmentosa/rod-cone dystrophy. Macular dystrophy with flecks was the second most common IRD category, suggesting ABCA4 retinopathy as the most common macular IRD diagnosis. The distribution of IRD phenotypes in our cohort is similar to those reported in Spain,26,27 the US,14,28 the UK,29 Iran,30 and Norway.31 The Australian Inherited Retinal Disease Registry and DNA Bank also reported that retinitis pigmentosa and Stargardt disease are the most common two diagnoses among over 9000 Australian patients.32

Among those who had genetic testing performed, the most common molecular diagnoses were ABCA4, followed by BEST1, USH2A, RHO, RP1, CRB1. This compares well to other study cohorts in Brazil,31 New Zealand33 and UK.29 Similarly, a study by Mansfield et al (2020) reported that ABCA4, USH2A, RHO, BEST1 and CRB1 are among the top 10 genes identified in the My Retina Tracker® Registry containing approximately 27,000 registered individuals with IRD.28

Obtaining a history of consanguinity in patients with an IRD may assist in selecting appropriate genes for screening and interpreting whole-genome sequencing results.29 In the current cohort, 3.5% of the patients reported consanguinity, which is mid-range between reported Chinese (<1%)34 and Norwegian (6%)31 IRD patient cohorts. However, our results are less than those reported in Brazil (>10%),35 Spain (11%),22 and Iran (76%).30 A study by Khan et al (2017) found that diagnostic yield increased from 45% to 60% when consanguinity was considered to select the most appropriate test.36 This result supports the importance of capturing patients’ ethnic background and pedigree structure to increase detection rates of the disease-causing variant.36

In the current study cohort, the predominant inheritance pattern was autosomal recessive (44.2%) followed by autosomal dominant (12.9%) and X-linked inheritance (4.7%). A study by Liu et al (2021) similarly reported that in a registry containing 800 Chinese families, the inheritance pattern was also predominantly autosomal recessive (43.88%), followed by X-linked (9.25%) and autosomal dominant (7%).34 Studies in the UK20,29,36 and the US14 also report similar frequencies of inheritance patterns. However, a study by Coco-Martin et al (2021) reported that the most common inheritance pattern based on family history in their cohort of IRD patients was autosomal dominant (52%) followed by autosomal recessive (23%) and X-linked (10%) inheritance.22 This may be attributed to a greater proportion of macular dystrophies in their study (n=161), mainly following an autosomal dominant inheritance, compared to panretinal pigmentary retinopathies (n=39) following an autosomal recessive inheritance pattern.22 This variation in IRD phenotype may further be explained by the extensive macular dystrophies reported in the Spanish cohort,22 potentially as a result of geographic disparities and greater frequencies of certain mutations in common racial classifications (Africa, Europe, Asia, Oceania, Americas).37

Diagnostic Yield of Genetic Testing

A proportion of our cohort had inconclusive results, which included both negative (31.8%) results from genetic test reports and unavailable or pending (22.4%) results from tests ordered. Our “solve rate” was 65.9% for those patients who had genetic testing, which is comparable to diagnostic yield reported by studies in the US (76%),14 China (60%),34 and New Zealand (83.6%).33 Motta et al (2017) reported results similar to the current study, with 71.6% of their cohort receiving a conclusive molecular diagnosis compared to 28% individuals receiving negative or inconclusive results.35 Our results were significantly greater than the solution rate reported in Norway (32%).31 Gene-panel testing for IRD was not available at the time of that publication (prior to 2016) in Norway; therefore, arrayed primer extension was the test of choice which involves testing each patient for a panel of known disease-causing genes.31 NGS testing increases diagnostic yield; however, it may also increase detection of variant of unknown significance (VUS). Therefore, further investigation is required in this area.11,38

The diagnostic yield for genetic testing also varies depending on the provisional IRD diagnosis, testing methodology and whether the IRD is genetically simple or exhibits complex disease phenotypes.38,39 Jiman et al (2020) reported a significant improvement in genetic diagnosis for people with a provisional clinical diagnosis compared to individuals without a clinical diagnosis at the time of genetic testing (71% compared to 25%).39 Furthermore, Li et al (2019) suggested that tailoring the panel of genes to the clinical presentation increases the diagnostic yield of genetic testing and reduces the false-positive rate of VUS.40 Incorporation of clinical diagnoses into genetic testing must be considered along with genetic testing methods and gene panel selection.

Barriers to Genetic Testing

Among the patients who did not have genetic testing results available, 8.4% of clinical records documented patient refusal; however, this figure may be higher since approximately 70% of clinical records did not have documented counselling regarding genetic testing. It is important to consider the clinical context of genetic testing. At the time of care, genetic testing was often clinically unjustified in many of our patients with an established IRD diagnosis, stable clinical phenotype, or beyond reproductive age. Patient visits with the sole intention of providing legal blindness certification to established IRD patients or performing single procedure services such as electroretinography were considered exempt from genetic testing counselling and ordering.

Patient-related barriers to uptake of genetic testing have been explored in several studies. Li et al (2019) found that patients were reluctant to agree to genetic testing due to cost involved, advanced age, mobility challenges due to poor vision and difficulty arranging transportation among the visually impaired.40 However, 73% of the eligible patients consent to genetic testing when at no cost to them.40 Recently announced industry sponsored testing programs (including Invitae and the Blueprint/Novartis collaboration, both commencing in 2021) offer IRD patients free access to panel testing in Australia, which may overcome this barrier. However, whether clinicians are aware of such programs remains unknown. Previous studies also recognise patients’ education, family status and age affect acceptance of genetic testing.23,41,42 The main reasons for negative attitudes were due to the assumption that abortion rates will increase, exposure to social discrimination, misuse of results by ordering clinician, and anxieties surrounding their own health and that of their child’s.23,42 Therefore, there is a role for clinicians to earn their patients’ trust and provide informative advice regarding the advantages of genetic testing.

In addition, Neiweem et al (2021) recognised that many clinicians in medicine and ophthalmology are unfamiliar with genetic testing due to the several complexities involved.43 Clinicians may be unaware which patients are suitable candidates, the appropriate test to order, how to interpret results, or the associated cost of genetic testing.21,43 Further education may be required to educate clinicians and patients regarding the benefits of genetic testing using informative resources such as the Retina International Campaign, “Know Your Code” ().44 Confoundingly, there is also variation in testing guidelines between international and Australian guidelines, with international patient advocacy groups such as Retina International detailing a need for global consensus in published guidelines.44 The RANZCO have recently published comprehensive IRD management guidelines, which emphasise the importance of genetic testing in accordance with clinical benefits.11 With emerging gene-dependent treatment options such as gene therapy, it is important to screen IRD patients to facilitate appropriate referral for clinical trials efficiently when it becomes available. Of note, in unsolved cases, the current literature recommends a retest interval of at least 18 months.45

Previously reported resource-related barriers to genetic testing include long turnaround times of genetic testing (up to 6 months in some cases),46 limitations of genetic testing methods,39 and limited integration of different medical specialities such as ophthalmology and genetic counsellors.21 The latter challenge is being addressed in Australia, and other countries, through multi-disciplinary clinics such as the Ocular Genetics Clinic at the Royal Victorian Eye and Ear Hospital. Another Australian-based resource for genetic data on IRD is the Australian Inherited Retinal Disease Register and DNA Biobank (), which holds the largest collection of DNA samples in Australia.

A key strength of our study is the relatively large patient cohort, consisting of 464 patients from a single large tertiary ophthalmic practice. Furthermore, the study constituted a rigorous process of selecting appropriate patients using a two-stage clinical record review by the senior author (HM), followed by an ophthalmology registrar (YJ) and an optometrist experienced in IRD (SG) to assess clinical diagnoses and genetic testing results.

Study limitations include the large heterogeneity in patient follow-up duration, ranging from single visits to regular patients attending for up to 27 years. The relatively high number of single visits at this clinic is due to high numbers of referrals solely for electrophysiological testing, diagnosing patients and/or certifying legal blindness. Once patients receive their clinical diagnosis, they return to their primary eyecare provider for ongoing management, who may have ordered genetic testing however forwarded these results with patient referrals. Furthermore, the relatively high “not further specified” reason for lack of genetic testing may be indicative of the variation of clinicians’ clinical record documentation patterns that did not capture discussions, referrals, and/or patient opinions. For pathogenicity determination, we relied on information provided by the laboratory and/or geneticist or genetic counsellor available in patients’ clinical records. In some cases, the letter provided to the ophthalmologist contained only information on the name of the affected gene and number of variants identified but no information on the specific variants.

In the future, we expect these figures to improve with availability of higher precision genetic testing methods, free sponsored programs, FDA-approved gene therapy, and potentially greater awareness of genetic testing benefits. We aim to repeat this study in 2 years, to assess the impact these policy and practice changes have on genetic test ordering for people with IRD. Future research should evaluate genetic testing in the public system, as well as additional barriers, policies, and patient perceptions of the genetic testing process in Australia.

Our study cohort shows low uptake of genetic testing of patients with IRD in a large private tertiary retinal practice in Australia, compared to international studies. Currently, our cohort demonstrates that younger patients with longer duration of care are more likely to have received genetic test results. This study provides a snapshot of ophthalmic practices in genetic test ordering for definitive clinical diagnoses, establishing inheritance patterns, family planning, and assessing patients’ suitability for gene-targeted therapies, which will be of interest to many general and specialised retinal ophthalmologists. We expect that the availability of sponsored testing programs and increased awareness relating to the importance of genetic testing will increase uptake of genetic testing in the future. To achieve this, we advocate further clinician and patient education based upon the established IRD guidelines (such as RANZCO11), streamlined access to public genetic clinics, detailed and standardised reporting of genetic test results, continued support of large IRD databases, and funding for reduced-cost testing to improve ongoing management and clinical outcomes for IRD patients.