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Genetic testing of IRD in Australia | OPTH – Dove Medical Press

Posted: April 19, 2022 at 2:15 am

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.1315

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.14,1719 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.

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 practices 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.

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 (Supplementary Figure 1), 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 patients response to genetic testing, were considered not further specified.

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.

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.

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.

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]: 2860) and a median duration of care of 5 months (IQR: 063 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)

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 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

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 patients 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

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 (19952021), 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

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.

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 childs.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 (www.kyc.retinaint.org).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 (https://www.scgh.health.wa.gov.au/Research/DNA-Bank), 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.

DNA, deoxyribonucleic acid; FDA, Food and Drug Administration; IRD, inherited retinal disease; NGS, next-generation sequencing; QLD, Queensland; RANZCO, Royal Australian and New Zealand College of Ophthalmologists; RNA, ribonucleic acid; RP, RETINITIS PIGmentosa; UK, United Kingdom; US, United States; VUS, variant of unknown significance; WES, whole-exome sequencing.

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

The authorship team would like to thank the many IRD patients who have been seen at Eye Surgery Associates and the ophthalmologists caring for them who agreed to patient file review: Jacqueline Beltz, Ben Connell, Anthony JH Hall, Andrew Symons, Wilson Heriot and Grant Snibson. LA is supported by a National Health and Medical Research Council (NHMRC) MRFF Fellowship (MRF# 1151055) and EL2 Investigator Grant (GNT#1195713). CERA receives Operational Infrastructure Support from the Victorian Government. Sena A. Gocuk and Yuanzhang Jiao are co-first authors, and Lauren N. Ayton and Heather G. Mack are co-senior authors, on this paper.

Dr Lyndell Lim reports grants, personal fees from Bayer, personal fees from Novartis, personal fees from Allergan, outside the submitted work. The authors report no other conflicts of interest in this work.

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37. Tishkoff SA, Kidd KK. Implications of biogeography of human populations forraceand medicine. Nat Genet. 2004;36(11):S21S7.

38. Kohl S, Biskup S. [Genetic diagnostic testing in inherited retinal dystrophies]. Klin Monbl Augenheilkd. 2013;230(3):243246.

39. Jiman OA, Taylor RL, Lenassi E, et al. Diagnostic yield of panel-based genetic testing in syndromic inherited retinal disease. Eur J Hum Genet. 2020;28(5):576586.

40. Li AS, MacKay D, Chen H, Rajagopal R, Apte RS. Challenges to routine genetic testing for inherited retinal dystrophies. Ophthalmology. 2019;126(10):14661468.

41. Suther S, Goodson P. Barriers to the provision of genetic services by primary care physicians: a systematic review of the literature. Genet Med. 2003;5(2):7076.

42. Suther S, Kiros G-E. Barriers to the use of genetic testing: a study of racial and ethnic disparities. Genet Med. 2009;11(9):655662.

43. Neiweem AE, Hariprasad SM, Ciulla TA. Genetic testing prevalence, guidelines, and pitfalls in large, university-based medical systems. Ophthalmic Surg Lasers Imaging Retina. 2021;52(1):610.

44. Retinal International Campaign - Know Your Code. 2021. Available from: https://kyc.retinaint.org/. Accessed April 1, 2022

45. Tan NB, Stapleton R, Stark Z, et al. Evaluating systematic reanalysis of clinical genomic data in rare disease from single center experience and literature review. Mol Genet Genomic Med. 2020;8(11):e1508.

46. Stone EM, Aldave AJ, Drack AV, et al. Recommendations for genetic testing of inherited eye diseases: report of the American Academy of Ophthalmology task force on genetic testing. Ophthalmology. 2012;119(11):24082410.

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The Next Three Years Of Clinical Trials DCTs RWE And Beyond – Clinical Leader

Posted: April 19, 2022 at 2:11 am

By Ed Miseta, Chief Editor, Clinical LeaderFollow Me On Twitter @EdClinical

Recent years have seen unprecedented innovation in the clinical space. Precision medicine, cell and gene therapies, decentralized trials, real-world data, and the promise of artificial intelligence (AI) and machine learning (ML) are just a few of the reasons to be excited about the future of clinical research. But what can we expect to see in the next three years, and what are the challenges sponsor companies will need to overcome?

A webinar hosted by IBM Watson hoped to answer those questions. The discussion featured Lorraine Marchand, general manager of life sciences at IBM Watson Health; Nimita Limaye, research VP, Life Sciences R&D Strategy and Technology at IDC Health Insights; and Greg Cunningham, director of the RWE Center of Excellence at Eli Lilly and Company. The three shared insights into what we might expect to impact trials over the next three years.

In this article the panel discusses precision medicine and real-world data. In part 2 of this article the panel looks at the future of decentralized clinical trials.

The Growth Of Precision Medicine

The first game changer the panel discussed is the advancement of precision medicine. It has moved from exploring single gene mutations to performing research using combinations of genes. This change has the potential to bring better drug targets forward and get the best products to patients faster.

This has been playing out in the last decade in oncology real-world evidence, notes Cunningham. We've seen an evolution in precision medicine as we've built out the patient record. As we have done that, the marketplace has evolved rapidly, particularly for electronic medical record data and genomic data.

Pharma companies were happy to get their hands on electronic medical record data. When genetic test results were combined with that data, researchers gained the ability to look at a single mutation and develop better patient outcomes.

Where precision medicine will continue to evolve in 2022 and beyond is the growing use of genetic testing in oncology. This will provide the industry with more data about patients. With more genes at their disposal, researchers can look at groups of genes and the complex combinations of gene mutations. This has the potential to open the door for tools like artificial intelligence to help researchers analyze the complex number of permutations.

RWD Creates More Efficient Research

Next the panel discussed RWD and the ability to utilize it across several use cases from discovery and development to commercial. Limaye likes the prospect of being able to create a data exchange where researchers can bring together claims, clinical, EMR, and genomics data directly from patients to create an intelligent and digital patient health record. That record gives researchers the digital equivalent of a real-life patient which can be used as a natural history or synthetic control arm in randomized control clinical trials.

These data can allow drug developers to track patient response to drugs and look at outcomes after being exposed to new therapies. The promise of data and technology is using tools like AI to advance therapies and get them to patients faster. This will be done with better information and a much more efficient way to perform drug development and track and monitor outcomes in patients.

Big data has been a topic of discussion in pharma for years. The volume of clinical data is now growing exponentially. Approximately 30% of the world's datavolume is being generated by the healthcare industry and by 2025, the compound annual growth rate will hit 36%. That's 6% faster than manufacturing, 10% faster than financial services, and 11% faster than media & entertainment.

In addition to getting bigger, data is also getting broader. Researchers can not only look at a patients medical history but can now consider factors such as social determinants of health and behavioral data.

Since most EHRs do not include genomic data, researchers need the ability to look at patient data more holistically. Type 2 diabetes was one example discussed. Today, 40% to 70% of it is genetically inherited and there are over 500 different genetic loci which could be involved in causing the disease. The earlier strategy of looking at genetic risk scoring was single trait. That is now transitioning to multi-trait research with an integrated view that will drive a precision medicine strategy. This creates an interesting situation where drug discovery will continue to get more specific and focused towards an individual while also getting bigger and broader.

The Challenge Of RWD

With access to RWD, drug developers can benefit from data they may not have known existed. Although the data is rich and robust, it can be difficult to access. One of the biggest challenges the industry faces is data stored in silos. The panel notes data is stored in patient claims, electronic medical records, in lab apps, images, and genetic files on a smartphone. Having the technology to tap into those sources to identify quality data is the primary challenge.

The data must be de-identified for patient privacy, cleaned, curated to remove noise, and enriched, which means bringing together the various components that will be meaningful to drug development. That will allow researchers to have a patient record that is useful across pharma, from development through to commercial. An exchange would enable that exact process a platform where various entities can bring their data to have it linked, integrated, cleaned, and enriched, creating a data package that can be plugged into studies.

An important component of that exchange is the data being housed in a place where various third parties can feel comfortable bringing their data to match it with data from other third parties.

Cunningham cites lupus as an example of where pharma could benefit from such an exchange. I would like to have a complete data set of lupus, he says. Lupus is an autoimmune condition, and a quintessential data set could be used for a number of uses, such as preparing a Phase 1 trial, selecting patients, or understanding patient responses to different therapies when designing studies. Specific data sets could be created for each therapeutic area, and pharma companies need that hard work of bringing the data together removed.

Data Assembly And Analysis

Currently, drug developers spend 80% of their time assembling data and 20% of their time analyzing it. The situation must be flipped so that 80% of the time is spent performing analysis. The panel recommends rethinking how health records are created. The healthcare and life science industries require the ability to easily put data together. That comes back to investing in data standards everyone can agree upon. With the right standards and technology, the industry can spend its time improving lives as opposed to assembling data.

The FDA has indicated it is aware and supportive of the fact that pharma needs use RWD in drug discovery. The industry now needs to create the interoperability, standards, and methods to ensure that data can be included in regulatory submissions. This evolution may be akin to the critical path initiative. When the FDA embraced the idea of the critical path and allowing more in silico modeling of clinical trial design and development, it took the industry almost 10 years to adopt and apply the guidance.

The FDA has said it recognizes the importance of RWD, but that acknowledgement has resulted in few approvals. Looking at the use of synthetic control arms and RWD in regulatory submissions over the last five years shows just 10 submissions and all were in oncology. Only one was a successful submission, and the rest were rejected because of lack of completeness of the data.

Those numbers should tell the industry the FDA is not going to dictate how to get to approvals. The industry is going to have to figure out the interoperability and how to apply the standards. Regulators are always going to require quality data. Industry will need to enrich the data and create the cohort that is going to be equivalent to a patient in the real world.

In part 2 of this article, the panel discusses the role of technology in clinical trials, how decentralized trials will continue to evolve, what capabilities sponsor companies will need, and whether decentralized trials might offer cost benefits to companies.

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Forty-two steps in the right direction for Alzheimer’s research – Medical University of South Carolina

Posted: April 19, 2022 at 2:11 am

Forty-two new genes related to Alzheimers disease (AD) have been discovered, reports the European Alzheimer & Dementia Biobank consortium in a study published on April 4 in Nature Genetics. As the largest study of genetic risk for AD, its findings will be the foundation for new research ideas and treatments. It certainly has raised the interest of MUSC researchers.

There is still so much we dont know about Alzheimers disease, said Lori L. McMahon, Ph.D., vice president for Research at MUSC. As researchers, were working to find the causes of this disease, and identifying genetic risk factors is an essential discovery and could lead to improving lives of those dealing with its effects.

Several leading AD researchers in the Department of Pathology and Laboratory Medicine at MUSC were asked to offer insights into what these findings means for the future of AD research and treatment. Steven Carroll, M.D., Ph.D., chairs the department and heads up the Carroll A. Campbell Jr. Neuropathology Laboratory, a brain bank that serves as an important resource for researchers studying AD and other dementias. In his own research, Carroll has identified chemical tracers that concentrate in regions of the brain affected by AD, allowing them to be visualized by a scan. This visualization provides a potential means to detect AD early and monitor its progression.

Hongkuan Fan, Ph.D., an associate professor in the Department of Pathology and Laboratory Medicine, collaborates with Perry Halushka, M.D., Ph.D., Distinguished University Professor of Cell and Molecular Pharmacology, to study the role leaky blood vessels caused by inflammation could play in the development of AD. They have recently identified a potential therapeutic target.

Eric Hamlett, Ph.D., an assistant professor in the Department of Pathology and Laboratory Medicine, studies the aging brain and has shown in an animal model that a certain type of fat cell can help to resolve inflammation and could potentially help to prevent memory loss caused by long-term inflammation in patients with AD and Down syndrome.

Q. Before these findings, what were the limitations in AD research, and how have they addressed those limitations?

A.(Carroll) One of the big limitations has been that we didnt have a complete understanding of what causes the disease. These findings are really helping us in a couple of ways. First, it confirms the importance of key players in AD development that we had already identified such as amyloid and tau. Second, it drives home the message that other cell types, such as microglia, play a very important role in the inflammatory process that is essential for the development of the disease. Our understanding is evolving. We once thought of AD as a disease of neurons. Its now becoming clear that AD is a disease that involves complex interactions between numerous cell types in the brain and not just neurons alone.

You know, this is about 42 new genes that had not been previously implicated in causing the disease. And now this means that there are a whole host of new pathways that can be studied to treat people with AD and other dementias.

A. (Fan) Recently, people have realized that if we only target amyloid or tau, that will not be sufficient to cure AD. Therefore, a broader picture is needed to improve our understanding of the underlying mechanisms. The study identified 42 new genes involved in AD development, broadening our understanding of AD pathology. This will encourage people in this field to study these genes and understand how they are involved in AD development. This research could lead to a novel treatment for AD.

Q. How will this finding affect patient treatment?

A.(Carroll) There has been some speculation that AD may not be just one disease. There may be several different types of it. Now that we've got a much broader handle on a large number of genes involved in causing AD, we can begin looking at whether some of these genes are involved in some cases of AD and others are involved in other cases. So, if that turns out to be the case, then it means there may not be a one-size-fits-all therapeutic approach for AD. We may need to sort out whether there are subtypes of AD so that treatment can be personalized based on a patients subtype.

The authors of this paper developed a scoring method that could be used to measure how many of these potentially causative variants an individual with Alzheimers has. That raises the possibility that we might be able to identify individuals who are at higher risk and prioritize them for early treatment with some of the currently available medications.

A. (Hamlett) What we really want to do is to treat something like AD extremely early, when people are in their 50s and 60s and not yet showing symptoms because thats when treatments are most likely to be effective. This paper provides a more extensive road map into the pathways involved in the development of AD. We have to know all the factors that are in play so that we can try to find a biomarker that can predict disease onset.

Q. What does this paper teach us about the role of inflammation in the development of AD?

A.(Hamlett) I study factors that affect inflammation. I'm excited that this articles findings support our approach and provide more rationale for studying inflammatory responses. I was also excited to see that Im not currently studying some of the genes identified by the paper as important to inflammation. I need to fold these discoveries into how I look at inflammation. Im sure there are many other researchers who are thinking the same thing. Inflammation is clearly playing at least some sort of temporal role in the development of the disease.

A.(Fan) This paper highlights the immune response and inflammation in AD development. We recently discovered that a transcription factor named Fli-1 plays a critical role in AD development and that it may be a therapeutic target for AD. If we suppress Fli-1, we can dramatically suppress inflammation levels. The focus of my research will be on limiting neural inflammation and trying to develop a treatment strategy for AD.

Q. What do you think is the most important takeaway from this research?

A.(Carroll) I think the most important takeaway is that AD is a lot more complicated than we realized. However, an understanding of it is within our grasp, and these findings provide much-needed clarity as to who the players are and what the critical pathways are that are involved in this disease. This is going to give us a very strong foundation for a lot of hypothesis-driven studies moving forward that are going to clarify whats causing the disease and how we can intervene to treat it.

Q. How might the studys findings of a genetic basis for AD be misinterpreted by the public? Do you have words of caution to offer?

A. (Hamlett) If you read this paper, you may come from it and think Oh my goodness, my dad or my brother has got Alzheimers. Im going to get it now. Thats not the case. Lifestyle also matters. This study does not address your risk for AD if you're eating a good diet or you have a healthy lifestyle. Theres no way to understand accurately how each of these mutations interfaces with lifestyle, and thats the part thats missing. The discovery of genetic fingerprints can be awfully scary. But what do we do about that? We continue to maintain a good lifestyle until researchers can find drug targets using this new information to decrease our chance of getting AD.

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Researchers Pinpoint Causes of Foveal Hypoplasia – Medscape

Posted: April 19, 2022 at 2:11 am

Newly published insights into the causes of foveal hypoplasia may allow clinicians to make quicker and more accurate diagnoses of the underlying conditions, in some cases preventing complications.

Using genetic tests and optical coherence tomography (OCT), ophthalmologists may be the first to identify a genetic disorder, such as albinism, said Mervyn Thomas, FRCOphth, PhD, an academic clinical lecturer in ophthalmology and genetic medicine at the University of Leicester, United Kingdom.

"Often the first presenting sign in these children is the nystagmus, or wobbly eyes," he told Medscape Medical News.

In Ophthalmology, Thomas and his colleagues published an analysis of how genetic variants relate to the structure and function of foveal hypoplasia.

Because foveal hypoplasia is rare, a collaboration of 12 centers in nine countries pooled their data, and researchers drew other cases from published literature, to create a database of 907 cases.

Each of those patients had both a molecular diagnosis and OCT scans of the fovea. Their average age was 22.7 years.

The advent of handheld OCT scanners has facilitated the research and diagnosis of foveal disorders in children who can't easily hold their chins steady on a chinrest for a standard OCT scan, Thomas said. "In Leicester, we've been one of the pioneers to use a handheld device, which looks like a hairdryer. We can take images in children and even in infants really looking at the structure of the fovea," he explained.

The researchers used the Leicester Grading System, which Thomas and colleagues developed. The system divides foveal hypoplasia into two types: typical and atypical. Typical foveal hypoplasia is characterized by the progressive loss of inner retinal layers posterior to the fovea. Atypical foveal hypoplasia is associated with photoreceptor degeneration.

The grading system itself can help predict the future visual acuity of preverbal children with nystagmus, Thomas said. And by linking the grading system to genetic variants, the researchers can make a prognosis based on genetic testing.

"Let's say, in some center they can't actually have access to specialized optical coherence tomography," said Thomas. "In reality, you don't need that. You can actually just do a saliva swab or a buccal swab. And from the saliva sample itself, we can sequence the known genes that we've characterized in this study."

This approach can spare children from more invasive testing such as MRI, which may require general anesthesia.

Although no treatment is yet available, a better prognosis can still help the patient. For example, if a child's visual acuity is worse than predicted, clinicians know to look for some other causes, such as a refractive error. Correcting such an error early on can prevent amblyopia, Thomas said.

Other diagnoses can lead to concerns outside the eye. "As soon as someone's diagnosed with albinism, they get referred not only to the ophthalmologist, but in addition to that to a dermatologist to ensure that they have adequate skin protection," Thomas said.

People with Hermansky-Pudlak syndrome may also benefit from care of other specialists, he added.

Furthermore, the findings open up the possibility for more practical research, Thomas said. "This lays the foundation that allows us to think about treatments and start moving forward in that direction," he noted.

Raj K. Maturi, MD, an associate professor of ophthalmology at Indiana University in Indianapolis, who was not involved in the study, said it will help diagnose diseases that can appear very similar. "You have a symphony of data that puts together information, starting from the molecule all the way to the phenotype, in a completely logical, understandable, stepwise fashion," said Maturi, a spokesperson for the American Academy of Ophthalmology, in an interview with Medscape Medical News.

In this study, the most common genetic etiology for typical foveal hypoplasia was albinism (affecting 67.5%), followed by PAX6 (21.8%), SLC38A8 (6.8%), and FRMD7 (3.5%) variants. AHR variants were rare (0.4%). In 67.4% of achromatopsia cases, the researchers found atypical foveal hypoplasia.

Patients with atypical foveal hypoplasia had significantly worse visual acuity compared to typical foveal hypoplasia (P < .0001).

The FRMD7 cohort had the best visual acuity. This variant was associated with grade 1 (normal) morphology, and was suggestive of developmental arrest at a later time point.

Albinism, SLC38A8, and PAX6 gene variants were associated with worse visual acuity, possibly because they mostly fell into grades 3 and 4 of foveal hypoplasia.

Within albinism, the researchers categorized the ocular albinism and Hermansky-Pudlak syndrome as grades 3 and 4, and the oculocutaneous albinism as across a spectrum of grades.

They identified a narrow spectrum of foveal hypoplasia in SLC38A8 variants (grade 3-4).

The study was funded by the UK Medical Research Council, Fight for Sight, Nystagmus Network, Ulverscroft Foundation, Wellcome Trust, Korea Centers for Diseases Control and Prevention, and the National Research Foundation of Korea. Neither Thomas nor Maturi reported any relevant financial interests.

Ophthalmology. Published online February 11, 2022. Full text

Laird Harrison writes about science, health, and culture. His work has appeared in national magazines, in newspapers, on public radio, and on websites. He is at work on a novel about alternate realities in physics. Harrison teaches writing at the Writers Grotto.Visit him at http://www.lairdharrison.com or follow him onTwitter: @LairdH

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Coronavirus Found in Human Feces Up to 7 Months After Infection – HealthDay News

Posted: April 19, 2022 at 2:11 am

MONDAY, April 18, 2022 (HealthDay News) -- COVID-19 is mainly known as a respiratory ailment, but a new study suggests the coronavirus can infect your intestinal tract for weeks and months after you've cleared the bug from your lungs.

In the study about 1 out of 7 COVID patients continued to shed the virus' genetic remnants in their feces at least four months after their initial diagnosis, long after they've stopped shedding the virus from their respiratory tract, researchers found.

This could explain why some COVID patients develop GI symptoms like abdominal pain, nausea, vomiting and diarrhea, said senior researcher Dr. Ami Bhatt, an associate professor of medicine and genetics at Stanford University.

"We found that people who had cleared their respiratory infection -- meaning they were no longer testing positive for SARS-CoV-2 in their respiratory tract -- were continuing to shed SARS-CoV-2 RNA in their feces," Bhatt said. "And those people in particular had a high incidence of GI symptoms."

A long-term infection of the gut also might contribute to long COVID symptoms in some people, Bhatt and her colleagues theorized.

"Long COVID could be the consequence of ongoing immune reaction to SARS-CoV-2, but it also could be that we have people who have persistent infections that are hiding out in niches other than the respiratory tract, like the GI tract," Bhatt said.

For this study, the research team took advantage of an early clinical trial launched in May 2020 at Stanford to test a possible treatment for mild COVID infection. More than 110 patients were monitored to follow the evolution of their symptoms, and regular fecal samples were collected as part of an effort to track their viral shedding.

Many other studies have focused on viral shedding in patients with severe cases of COVID, but this is the first to assess the presence of viral RNA in fecal samples collected from people with mild to moderate COVID, researchers said.

About half of the patients (49%) had COVID RNA remnants in their stool within the first week after diagnosis, researchers found.

But at four months following diagnosis, when no more COVID remained in their lungs, nearly 13% of patients continued to shed viral RNA in their feces.

About 4% still were shedding viral RNA in their feces seven months out from their initial diagnosis, researchers found.

Bhatt was quick to note that the RNA constituted genetic remnants of the coronavirus, and not actual live virus -- so it's unlikely a person's poop could be contagious.

"While there have been isolated reports of people being able to isolate live SARS-CoV-2 virus from stool, I think that that's probably much less common than being able to isolate live virus from the respiratory tract," Bhatt said. "I don't think that our study suggests that there's lots of fecal-oral transmission."

But the lingering presence of COVID in the gut does suggest one potential influence for long-haul disease, she said.

"SARS-CoV-2 might be hanging out at the gut or even other tissues for a longer period of time than it sticks around in the respiratory tract, and there it can basically continue to kind of tickle our immune system and induce some of these long-term consequences," Bhatt said.

Long COVID has become such an established problem that many major medical centers have established their own long COVID clinics to try to suss out symptoms and potential treatments, said Dr. William Schaffner, medical director of the National Foundation for Infectious Diseases.

"A very substantial proportion of individuals who recover from COVID acutely nonetheless have lingering symptoms, and they can involve an array of different organ systems," Schaffner said.

"These data add to the notion that the cells in the intestine may themselves be involved with COVID viral infection, and they could potentially be contributors to some of the symptoms -- abdominal pain, nausea, kind of just intestinal distress -- that can be one aspect of long COVID," he said.

Bhatt said the findings also have implications for public health efforts to predict emerging COVID outbreaks by testing a community's wastewater for evidence of the virus, and Schaffner agrees.

"If, as they say, about 4% of people seven or eight months later are still excreting viral remnants in their stool, it complicates the assessment of the density of new infections in a community," Schaffner said. "It's another thing we have to take into consideration and start looking at going forward."

But Dr. Amesh Adalja, a senior scholar with the Johns Hopkins Center for Health Security, doesn't agree that such long-term shedding in stool should affect the accuracy of wastewater COVID surveillance.

"I dont think that these findings change the value of wastewater surveillance, as weve already seen its value in real life," Adalja said. "Whats valuable about wastewater surveillance is the trend if it is increasing or decreasing, which isnt really impacted by this phenomenon."

The new study appears in the online journal Med.

More information

The U.S. Centers for Disease Control and Prevention has more about wastewater surveillance for COVID-19.

SOURCES: Ami Bhatt, MD, PhD, associate professor, medicine and genetics, Stanford University, Stanford, Calif.; William Schaffner, MD, medical director, National Foundation for Infectious Diseases; Amesh Adalja, MD, senior scholar, Johns Hopkins Center for Health Security; Med, April 12, 2022

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MGI announces partnership with Nalagenetics to advance personalized medicine – The Korea Herald

Posted: April 19, 2022 at 2:11 am

The partnership will address some critical issues in pharmacogenetic assay through sequencing workflows improvement

SINGAPORE, April 19, 2022 /PRNewswire/ -- MGI, a company committed to being a world-leading life science innovator, today announced a partnership with Nalagenetics (NALA) to co-develop low coverage whole genome sequencing for risk prediction and population genomics through optimizing Next Generation Sequencing (NGS) workflow based on MGI sequencing devices and products*.

The collaboration aims to use NALA'sClinical Decision Support, a software medical device, to be able to analyze whole genome sequencing data sets generated by MGI's DNBSEQ sequencing platform* and generate clinical-grade reports for pharmacogenomics and polygenic risk scores. Although NGS has been known to be an effective way to capture a large amount of genomic information to guide and tailor clinical management and treatment[1], NGS workflows are complicated and not trivial to adopt in clinical settings. NALA is dedicated itself to helping implement clinical genetic testing in Southeast Asia. It has strong expertise in pharmacogenetics, population genomics, assay development, and AI-linked genetics analysis for pharmacological phenotypes and risk prediction.

"Genetic testing adoption in Southeast Asia is still low despite interest from customers, as Next Generation Sequencing is a multi-step process that can be complex and difficult to implement in existing settings. The partnership with Nalagenetics will merge both our expertise and bring about a simplified Next Generation Sequencing workflow with automation, sequencing primer design and process QC within current healthcare framework," said Dr. Roy Tan, General Manager, MGI Asia Pacific.

"We see more and more hospitals adopting sequencing for personalization of medicine in oncology, cardiovascular conditions, and others. One of the biggest challenges is recommending follow up action that makes sense for the local market, for example, list of alternative therapies and screening procedures that lead to cost-effectiveness. We are glad to work with MGI to co-develop products and offer services to answer local needs," said Levana Sani, CEO of Nalagenetics.

About MGI

MGI Tech Co., Ltd. (MGI), an affiliate of BGI Group, is committed to building core tools and technology to lead life science through intelligent innovation. Based on its proprietary technology, MGI focuses on research & development, production and sales of sequencing instruments*, reagents*, and related products to support life science research, agriculture, precision medicine and healthcare. MGI's mission is to develop and promote advanced life science tools for future healthcare. As of December 2020, MGI has a footprint that spans across more than 70 countries and regions, serves over 1,000 international users and employs more than 1,700 professionals globally, around 33% of which are R&D personnel. For more information, please visit the MGI websiteor connect on Twitter, LinkedInor YouTube.

*Unless otherwise informed, StandardMPS and CoolMPS sequencing reagents, and sequencers for use with such reagents are not available in Germany, USA, Spain, UK, Hong Kong SAR, Sweden, Belgium, Italy, Finland, Czech Republic, Switzerland and Portugal.

About Nalagenetics

Nalagenetics is a biotechnology technology company focusing on personalized screening and intervention. Nalagenetics aims to provide affordable and actionable end-to-end genetic testing that is relevant to local populations by working with hospitals and labs. The company's main product, Clinical Decision Support, allows providers to generate clinical-grade genetic reports from raw genetic data files and clinical input. Nalagenetics has presence in Southeast Asia and Europe. For more information, please visit http://www.nalagenetics.com.

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Genetic variation common among Black individuals is associated with higher risk of heart failure and death – University of Alabama at Birmingham

Posted: April 19, 2022 at 2:11 am

The UAB Cardiogenomics Clinic provides genetic testing and counseling for a gene variant associated with a risk of heart failure and death.

Researchers believe that the presence of the Val122Ile genetic variant in African Americans is believed to predispose them to the development of transthyretin amyloidosis, which can lead to higher risk of heart failure.A new study published in the Journal of the American Medical Association led by researchers from the University of Alabama at Birmingham Marnix E. Heersink School of Medicine found that being a carrier of a genetic variation known as Val122Ile in the transthyretin, or TTR gene, was significantly associated with an increased risk of heart failure and death. Research shows that this Val122Ile variation is more commonly seen among individuals of African ancestry.

Transthyretin protein is produced by the liver and helps circulate vitamin A and thyroxine through the body. This genetic variation causes misfolding of the transthyretin protein leading to hereditary transthyretin amyloidosis, a condition characterized by the buildup of abnormal deposits of a protein in the bodys organs and tissues. As buildup increases over time, the heart may become stiff, leading to cardiomyopathy, a disease of the heart muscle that makes it difficult to pump blood through the heart.

For this study, UAB researchers Vibhu Parcha, M.D., and Pankaj Arora, M.D., looked at this genetic variation in a cohort of 7,500 Black individuals living in the United States.

The TTR Val122Ile genetic variant is unfortunately more common among those of African ancestry with nearly three out of 100 individuals carrying the genetic variation, said Parcha, a clinical research fellow in the UAB Cardiogenomics Clinic and the UAB Division of Cardiovascular Disease.

Parcha says the presence of the Val122Ile genetic variant in African Americans is believed to predispose them to the development of transthyretin amyloidosis.

We wanted to examine whether carrying this genetic variant will lead to a higher risk of new-onset heart failure, death due to heart failure, cardiovascular causes or any other causes, Parcha said.

(Left) Vibhu Parcha, M.D., clinical research fellow in the UAB Cardiogenomics Clinic and the UAB Division of Cardiovascular Disease. (Right) Pankaj Arora, M.D., an associate professor in the Division of Cardiovascular Disease and director of the UAB Cardiogenomics Clinic.In this study, researchers analyzed participants from the REasons for Geographic and Racial Differences in Stroke study living in the United States without baseline heart failure. Among 7,514 Black participants, the population frequency of the TTR Val122Ile variant was 3.1 percent. Over a median follow-up of 10.9 years, Val122Ile variant carriers had a higher risk of incident heart failure compared with non-carriers. Over a median follow-up of 11.6 years, Val122Ile variant carriers had a higher risk of mortality compared with non-carriers. Overall researchers found that those with the TTR Val122Ile variant had a 2.5-fold higher risk of heart failure and a 40 percent higher risk of death from any reason.

Among those with the pathogenic TTR Val122Ile genetic variation, the heart may gradually become unable to function correctly, which will lead to heart failure and ultimately death, said Arora, an associate professor in the Division of Cardiovascular Disease and director of the UAB Cardiogenomics Clinic. However, the true probability of genetic variation being expressed in all those with the variant is not known, and further work is needed to understand this. The good news is that there are several new treatments approved or awaiting approval for this hereditary heart disease.

Medical facilities like the UAB Cardiogenomics Clinic provide genetic testing for this variant. At the clinic, those who carry this variant will have access to comprehensive genetic counseling and assessment of their heart structure and function.

Those with the variant may be eligible for getting access to evidence-based therapies that improve their heart health and improve their long-term outcomes, Arora said. It is also important to identify any family members who may have the genetic variation as they will benefit from early diagnosis and access to medical therapies that improve their health.

Learn more about the UAB Cardiogenomics Clinic here.

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Genetic variation common among Black individuals is associated with higher risk of heart failure and death - University of Alabama at Birmingham

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The ‘All of Us’ Research Program Is Helping Make Medicine More Precise for Diverse Populations. Five Years In, How Is It Going? – Columbia | Neighbors

Posted: April 19, 2022 at 2:11 am

After that, you sit back and you wait for your results to come in and you wait for information to come to you. So if there's a new survey that comes out, well let you know, and it's up to the individual, how much, or how little they want to participate. Again, we'd love everyone to continue to complete the surveys as they go along because the more information that we have about lifestyle, environment, family health history, social determinants of health, all of that helps researchers have a more dynamic and full understanding of what is going on. Not only with the individual, but they can see it on a larger scale in communities and different populations.

La Keisha Jones:One thing with a trial is that you are providing treatment. We do not provide treatment. We are just collecting information to create a data cohort of information for researchers to look at and that would be the difference there. The one thing that we do offer, though, is that if something is discovered individuals are notified. If there is something of health significance with the genetic results that is found, then a genetic counselor is offered to them to explain what this means to them and what it can mean to their family.

Our program is giving information back so that people can have more informed conversations. They can be more informed about their risk for a disease possibly, or the risks that they may or may not face. Again, if something comes back, it doesn't necessarily mean that disease could take place, but if they are aware of it, they can keep it to themselves or they could share it with their family, or they could take it to their doctor and just say, "Hey, you know, we would never have known this because genetic testing isn't on the list of things that normally take place and I might be at risk. What should we do about it?" Maybe it means earlier screenings. Maybe it means making healthier decisions.

There are also different levels of participation. Some people just decide they want to do the online portion. Some people want to provide genetic information but not to receive their results. You have the option to say yes, no, maybe, or I don't know yet.

Lakeisha Jones:Anyone over the age of 18 can enroll. It doesn't matter if you have any diseases or don't have any diseases, anything of that sort. We do ask individuals to have an address in the U.S. and contact information here in the U.S. for about six months out of the year, just so that when information is returned, they can make sure that they can be followed up with and be contacted. You don't need health insurance to participate and you do not need to be a U.S. citizen.

That's the beautiful thing about New York, too, we have a very diverse staff. Our staff is bilingual, English and Spanish.

To sign up online or find phone numbers of where to talk to someone about the program, you can visit the New York City Consortium websiteor call 212-205-9927.

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The 'All of Us' Research Program Is Helping Make Medicine More Precise for Diverse Populations. Five Years In, How Is It Going? - Columbia | Neighbors

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What should a women look for in a health insurance policy? – ETHealthWorld

Posted: April 19, 2022 at 2:11 am

By Anuradha Sriram

A recent study shows that the percentage of women who have health insurance in India, is still low. This is a trend that should spark concern, considering that women need health insurance just as much as men do, and in fact, need insurance that is tailored to meet their specific requirements. Statistically, women tend to outlive men, in India and in most parts of the world. This means that women live longer into old age - a time when health needs peak, and hospitalisations can be frequent. Women are also at risk of several diseases and conditions that are specific to them.

It's obvious then that women need health insurance, but what should you consider when purchasing one? To find a policy that delivers on its promise, you must take into account the following considerations:

Medical science is doing it's bit - advances have been made in critical and chronic care, cancer treatment and prevention, and genetic medicine is growing by leaps and bounds. Women need to do their bit by paying more attention to their health, undergoing regular medical check-ups and buying the right insurance policy to give themselves the best chance of recovery.

By Anuradha Sriram Chief Actuarial Officer at Aditya Birla Health Insurance

*DISCLAIMER: The views expressed are solely of the author and ETHealthworld does not necessarily subscribe to it. ETHealthworld.com shall not be responsible for any damage caused to any person / organisation directly or indirectly.

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What should a women look for in a health insurance policy? - ETHealthWorld

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Over 700 people a year could benefit from a new potentially life-extending lung cancer drug which targets a specific genetic mutation – NICE

Posted: April 19, 2022 at 2:11 am

An innovative and potentially life-extending drug for treating people with a specific gene mutation of advanced non-small-cell lung cancer (NSCLC) has been recommended by NICE and will be available to patients from today (Thursday, 14 April).

The drug has been recommended for routine use across the NHS in England through Project Orbis, a programme to review and approve promising cancer drugs helping patients access treatments faster.

NICE has published its final appraisal document recommending tepotinib (also known as Tepmetko and produced by company Merck Serono Ltd) as an option for treating advanced NSCLC with METex14 skipping gene alterations in adults.

People with METex14 skipping alterations of NSCLC make up between 1-2% of all adults with lung cancer in England.

Those with METex14 skipping NSCLC are currently offered the same standard care as people with NSCLC without this specific biomarker, with treatments including chemotherapy, immunotherapy, and combinations of the two, known as chemo-immunotherapy. People with METex14 skipping NSCLC currently have a poorer prognosis than people without the biomarker.

Tepotinib, which requires people to take two tablets once daily, provides a new targeted treatment for adults with METex14 skipping gene alterations. Just over 700 people in England would be eligible to receive tepotinib as either a first or second-line treatment.

Clinical trial evidence, which included examining previous trial data and analysing real-world data, shows that although there is limited data, tepotinib may extend life.

Tepotinib is likely be offered as a first-line treatment for people with METex14 skipping NSCLC, once it has been confirmed by genomic testing. Medical practitioners would continue to use other first-line treatment options until the mutation had been confirmed.

Helen Knight, interim director for medicines evaluation at NICE, said:For the first time, people with advanced stage non-small-cell lung cancer (NSCLC) could be able to access a treatment which specifically targets the METex14 skipping mutation.

This treatment has the potential to extend peoples lives and allows patients to take tablets rather than undergoing chemotherapy and chemo-immunotherapy, which requires them to spend a day in a hospital or other medical practice.

The option to use genetic testing to help diagnose whether a person has the METex14 skipping mutation, and then tailoring their treatment accordingly, is a significant development and we will continue to work with our partners to ensure innovative treatments which benefit people are made available as soon as possible.

A confidential price discount has been agreed between NHS England and Improvement and the company, through a commercial agreement ensuring the treatment is available to patients from today.

Professor Dame Sue Hill, Chief Scientific Officer and Senior Responsible Officer for Genomics in the NHS, says:

The approval of this new treatment is fantastic news and to ensure patients receive it, the genomic test for this particular type of lung cancer will be added it to the National Genomic Test Directory.

This means patients carrying the gene mutation can benefit from the most effective treatments and its a great example of how the NHS Genomic Medicine Service is harnessing the power of genomics to deliver precision medicine straight to patients.

Further details on the final appraisal document on tepotinib for treating advanced non-small-cell lung cancer with MET gene alterations can be found here.

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Over 700 people a year could benefit from a new potentially life-extending lung cancer drug which targets a specific genetic mutation - NICE

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