Genomics of rare genetic diseases-experiences from India

Distinct positions of genetic and oral histories: Perspectives from India

Over the past decade, genomic data have contributed to several insights on global human population histories. These studies have been met both with interest and critically, particularly by populations with oral histories that are records of their past and often reference their origins. While several studies have reported concordance between oral and genetic histories, there is potential for tension that may stem from genetic histories being prioritized or used to confirm community-based knowledge and ethnography, especially if they differ. To investigate the interplay between oral and genetic histories, we focused on the southwestern region of India and analyzed whole-genome sequence data from 156 individuals identifying as Bunt, Kodava, Nair, and Kapla. We supplemented limited anthropological records on these populations with oral history accounts from community members and historical literature, focusing on references to non-local origins such as the ancient Scythians in the case of Bunt, Kodava, and Nair, members of Alexander the Great's army for the Kodava, and an African-related source for Kapla. We found these populations to be genetically most similar to other Indian populations, with the Kapla more similar to South Indian tribal populations that maximize a genetic ancestry related to Ancient Ancestral South Indians. We did not find evidence of additional genetic sources in the study populations than those known to have contributed to many other present-day South Asian populations. Our results demonstrate that oral and genetic histories may not always provide consistent accounts of population origins and motivate further community-engaged, multi-disciplinary investigations of non-local origin stories in these communities.

South Asia: The Missing Diverse in Diversity

South Asia, making up around 25% of the world's population, encompasses a wide range of individuals with tremendous genetic and environmental diversity. This region, which spans eight countries, is home to over 4500 anthropologically defined groups that speak numerous languages and have an array of religious beliefs and cultures, making it one of the most diverse places in the world. Much of the region's rich genetic diversity and structure is the result of a complex combination of population history, migration patterns, and endogamous practices. Despite the overwhelming size and diversity, South Asians have often been underrepresented in genetic research, making up less than 2% of the participants in genetic studies. This has led to a lack of population specific understanding of genetic disease risks. We aim to raise awareness about underlying genetic diversity in this ancestry group, call attention to the lack of representation of the group, and to highlight strategies for future studies in South Asians.

Structural and non-coding variants increase the diagnostic yield of clinical whole genome sequencing for rare diseases

BACKGROUND

Whole genome sequencing is increasingly being used for the diagnosis of patients with rare diseases. However, the diagnostic yields of many studies, particularly those conducted in a healthcare setting, are often disappointingly low, at 25-30%. This is in part because although entire genomes are sequenced, analysis is often confined to in silico gene panels or coding regions of the genome.

METHODS

We undertook WGS on a cohort of 122 unrelated rare disease patients and their relatives (300 genomes) who had been pre-screened by gene panels or arrays. Patients were recruited from a broad spectrum of clinical specialties. We applied a bioinformatics pipeline that would allow comprehensive analysis of all variant types. We combined established bioinformatics tools for phenotypic and genomic analysis with our novel algorithms (SVRare, ALTSPLICE and GREEN-DB) to detect and annotate structural, splice site and non-coding variants.

RESULTS

Our diagnostic yield was 43/122 cases (35%), although 47/122 cases (39%) were considered solved when considering novel candidate genes with supporting functional data into account. Structural, splice site and deep intronic variants contributed to 20/47 (43%) of our solved cases. Five genes that are novel, or were novel at the time of discovery, were identified, whilst a further three genes are putative novel disease genes with evidence of causality. We identified variants of uncertain significance in a further fourteen candidate genes. The phenotypic spectrum associated with RMND1 was expanded to include polymicrogyria. Two patients with secondary findings in FBN1 and KCNQ1 were confirmed to have previously unidentified Marfan and long QT syndromes, respectively, and were referred for further clinical interventions. Clinical diagnoses were changed in six patients and treatment adjustments made for eight individuals, which for five patients was considered life-saving.

CONCLUSIONS

Genome sequencing is increasingly being considered as a first-line genetic test in routine clinical settings and can make a substantial contribution to rapidly identifying a causal aetiology for many patients, shortening their diagnostic odyssey. We have demonstrated that structural, splice site and intronic variants make a significant contribution to diagnostic yield and that comprehensive analysis of the entire genome is essential to maximise the value of clinical genome sequencing.

Commoning genomic solidarity to improve global health equality

This article underlines two key asynchronies between prevailing governing logic and expanding practices in somatic human genome editing that are hindering an effective and orderly translation of the new technology into public good. The first is a "genomic sovereignty" framing adopted by a number of non-Western countries that may exacerbate data biases in global research and that directs policy attention away from the necessary structural changes required to achieve non-discriminatory and equitable genomic healthcare. The other is a global deficiency in attending to "science at large": the challenge of regulating new assemblages of societal interests that advocate controversial or experimental research, often outside of conventional institutions and aided by "policy shopping." Both issues point to the fact that genomic research does not represent a well-defined scientific commons but rather a domain that requires active "commoning," with the aim of fostering genomic solidarity that coordinates responsible research within and across national boundaries.

Knowledge, Attitude, and Practice About the Process of Genetic Counselling Among Clinicians

Introduction Clinicians agree with the fact that the impact of genetics in the field of medicine is humongous. They have to cope with the rapid advances in the field of clinical genetics and offer the best treatment to the patients at the right time. Disease with an underlying genetic cause not only involves the patient but also the family and the community. In the process of genetic counseling, the patient and the family are educated about the genetic basis of the disorder. This helps the patient and the family to make a well-informed decision. It also helps to reduce the genetic burden of the disease in the community over a period of time. In this regard, knowledge, attitude, and practice about the process of genetic counseling among clinicians is imperative. Methods A structured pre-validated questionnaire was distributed amongst 60 clinicians from different departments. Their responses were assessed based on the Likert scale. The data obtained were analyzed using descriptive statistics and expressed in percentages.  Results In the present study, nearly 90% of the clinicians felt that it was important to gather a multi-generational family history of the patient and advise them about inheritance patterns, recurrence risk, and genetic tests for a disorder with an underlying genetic cause. The need to educate the family members regarding the importance of genetic tests and referral to appropriate support groups if they test positive for a genetic disorder receive a positive response. Mostly the participants agreed that parents of children and couples at risk of having a child affected by a genetic disease should undergo genetic counseling. Conclusion Clinicians may not always be aware of the underlying genetic cause and genetic tests available or may face a paucity of time to counsel the patient and the family. Genetic counseling needs to be done at length in multiple sessions, and it is essential to reduce the burden of genetic disorders in society.

In-silico mining to glean SNPs of pharmaco-clinical importance: an investigation with reference to the Indian populated SNPs

Drugs pharmacology is defined by pharmacokinetics and pharmacodynamics and both of them are affected by genetic variability. Genetic variability varies from population to population, and sometimes even within the population, it exists. Single nucleotide polymorphisms (SNPs) are one of the major genetic variability factors which are found to be associated with the pharmacokinetics and pharmacodynamics process of a drug and are responsible for variable drug response and clinical phenotypes. Studies of SNPs can help to perform genome-wide association studies for their association with pharmacological and clinical events, at the same time; their information can direct genome-wide association studies for their use as biomarkers. With the aim to mine and characterize Indian populated SNPs of pharmacological and clinical importance. Two hundred six candidate SNPs belonging to 43 genes were retrieved from Indian Genome Variation Database. The distribution pattern of considered SNPs was observed against all five world super-populations (AFR, AMR, EAS, EUR, and SAS). Further, their annotation was done through SNP-nexus by considering Human genome reference builds - hg38, pharmacological and clinical information was supplemented by PharmGKB and ClinVar database. At last, to find out the association between SNPs linkage disequilibrium was observed in terms of r2. Overall, the study reported 53 pharmaco-clinical active SNPs and found 24 SNP-pairs as potential markers, and recommended their clinical and experimental validation.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40203-023-00154-4.

Polygenic Risk Scores for Alzheimer's Disease and General Cognitive Function Are Associated With Measures of Cognition in Older South Asians

Genome-wide association studies (GWAS) conducted in European ancestry (EA) have identified hundreds of single-nucleotide polymorphisms (SNPs) associated with general cognitive function and/or Alzheimer's disease (AD). The association between these SNPs and cognitive function has not been fully evaluated in populations with complex genetic substructure such as South Asians. This study investigated whether SNPs identified in EA GWAS, either individually or as polygenic risk scores (PRSs), were associated with general cognitive function and 5 broad cognitive domains in 932 South Asians from the Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD). We found that SNPs identified from AD GWAS were more strongly associated with cognitive function in LASI-DAD than those from a GWAS of general cognitive function. PRSs for general cognitive function and AD explained up to 1.1% of the variability in LASI-DAD cognitive domain scores. Our study represents an important stepping stone toward better characterization of the genetic architecture of cognitive aging in the Indian/South Asian population and highlights the need for further research that may lead to the identification of new variants unique to this population.

Genetics of Chronic Kidney Disease in Low-Resource Settings

Advances in kidney genomics in the past 20 years has opened the door for more precise diagnosis of kidney disease and identification of new and specific therapeutic agents. Despite these advances, an imbalance exists between low-resource and affluent regions of the world. Individuals of European ancestry from the United States, United Kingdom, and Iceland account for 16% of the world's population, but represent more than 80% of all genome-wide association studies. South Asia, Southeast Asia, Latin America, and Africa together account for 57% of the world population but less than 5% of genome-wide association studies. Implications of this difference include limitations in new variant discovery, inaccurate interpretation of the effect of genetic variants in non-European populations, and unequal access to genomic testing and novel therapies in resource-poor regions. It also further introduces ethical, legal, and social pitfalls, and ultimately may propagate global health inequities. Ongoing efforts to reduce the imbalance in low-resource regions include funding and capacity building, population-based genome sequencing, population-based genome registries, and genetic research networks. More funding, training, and capacity building for infrastructure and expertise is needed in resource-poor regions. Focusing on this will ensure multiple-fold returns on investments in genomic research and technology.

1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants

BACKGROUND

The prevalence and genetic spectrum of cardiac channelopathies exhibit population-specific differences. We aimed to understand the spectrum of cardiac channelopathy-associated variations in India, which is characterised by a genetically diverse population and is largely understudied in the context of these disorders.

RESULTS

We utilised the IndiGenomes dataset comprising 1029 whole genomes from self-declared healthy individuals as a template to filter variants in 36 genes known to cause cardiac channelopathies. Our analysis revealed 186,782 variants, of which we filtered 470 variants that were identified as possibly pathogenic (440 nonsynonymous, 30 high-confidence predicted loss of function ). About 26% (124 out of 470) of these variants were unique to the Indian population as they were not reported in the global population datasets and published literature. Classification of 470 variants by ACMG/AMP guidelines unveiled 13 pathogenic/likely pathogenic (P/LP) variants mapping to 19 out of the 1029 individuals. Further query of 53 probands in an independent cohort of cardiac channelopathy, using exome sequencing, revealed the presence of 3 out of the 13 P/LP variants. The identification of p.G179Sfs*62, p.R823W and c.420 + 2 T > C variants in KCNQ1, KCNH2 and CASQ2 genes, respectively, validate the significance of the P/LP variants in the context of clinical applicability as well as for large-scale population analysis.

CONCLUSION

A compendium of ACMG/AMP classified cardiac channelopathy variants in 1029 self-declared healthy Indian population was created. A conservative genotypic prevalence was estimated to be 0.9-1.8% which poses a huge public health burden for a country with large population size like India. In the majority of cases, these disorders are manageable and the risk of sudden cardiac death can be alleviated by appropriate lifestyle modifications as well as treatment regimens/clinical interventions. Clinical utility of the obtained variants was demonstrated using a cardiac channelopathy patient cohort. Our study emphasises the need for large-scale population screening to identify at-risk individuals and take preventive measures. However, we suggest cautious clinical interpretation to be exercised by taking other cardiac channelopathy risk factors into account.

Building cross-border collaborations to increase diversity and accelerate rare disease drug development - meeting report from the inaugural IndoUSrare Annual Conference 2021

The inaugural IndoUSrare Annual Conference was held virtually from 29 November to 2 December 2021 and was organized by the Indo US Organization for Rare Diseases (IndoUSrare). The event saw participation from over 250 stakeholders of rare diseases who joined in virtually by audio/video on the Zoom platform from around the world, with a majority of attendees concentrated in the Indian subcontinent and the United States. The conference was held over 4 days from 10:00 a.m. to 12:30 p.m. Eastern Time on each day, which accommodated participation by speakers and attendees from both the eastern and western hemispheres. The agenda over 4 days holistically covered broad topics of interest to different stakeholder groups such as representatives from organizations working toward policy frameworks for rare diseases or orphan drugs (Days 1, 4), biomedical research institutions (Day 2), patient advocacy organizations (Day 3), and patient advocacy and engagement offices within Industry (Day 4). In this meeting report, we summarize the key highlights from each day of this conference, with a perspective on future directions encouraging cross-border multistakeholder collaborations to maximize diversity, equity, and inclusion (DEI) in rare disease diagnosis, research, clinical trials, and treatment access. Each day included a keynote lecture on the theme of the day followed by a series of individual speaker presentations and/or a panel discussion. The goal was to understand current barriers and bottlenecks in the rare disease ecosystem. The discussions also helped highlight gaps and identify potential solutions that can be achieved through building multistakeholder collaborations across international borders, which we believe IndoUSrare is uniquely positioned to do with organizational programs such as rare patient foundation alliance, technology-enabled patient concierge, research corps, and corporate alliance program. The inaugural conference of the then 2+-year-old IndoUSrare organization laid the foundation for ongoing engagement of stakeholders between the two countries - the United States and India. The long-term goal is to scale the conference more broadly and serve as a model for other low- and middle-income countries (LMICs).

Plain language summary

IndoUSrare held its inaugural Annual Conference from 29 November to 2 December 2021. It was focused on the theme of cross-border collaborations for rare disease drug development, with each day dedicated to a specific patient-focused discussion topic, ranging from patient-led advocacy (Advocacy Day), research (Research Day), rare disease community support and engagement (Patients Alliance Day), to industry collaborations (Industry Day). The 4-day conference was held in virtual mode and attracted over 250 attendees from across the globe. This meeting report provides the key highlights of the event and summarizes learnings and future directions encouraging cross-border collaborations to increase diversity, equity, and inclusion (DEI) in rare disease research and clinical trials.

Analysis of the Status and Tendency of R&D Input in the Field of Rare Diseases Funded by the National Natural Science Foundation of China

Background: Through collection and sorting of rare disease projects funded by the National Natural Science Foundation of China, an understanding was gained of the categories of projects funded by the foundation in the field of rare diseases, types of diseases, categories of disease systems, regional distribution, distribution of supporting institutions, and their dynamic changes, followed by an analysis of focuses and influences of relevant state policies. This will help improve the rare disease-relating policies of the state in supporting the key fields, thus promoting healthy and sustainable development in the field of rare diseases.

Method: Through the website of inquiry of projects funded by the National Natural Science Foundation of China, a retrieval was made concerning the projects funded by the foundation in the field of rare diseases during the period from 1986 to 2019, followed by descriptive analysis of fund input of rare disease projects, number of projects, temporal and regional distribution, and the analysis of the law of their dynamic changes.

Result: As of the end of 2019, there were 57 rare diseases and 678 related projects funded by the National Natural Science Foundation of China, with accumulated total funding of ¥ 253,525,000. Among the categories of projects, the most-funded projects were general (¥ 150,145,000, 59.22%), followed by Youth Foundation projects (¥ 53,719,000, 21.19%) and key projects (¥ 15,870,000, 6.26%); among the categories of disease systems, the most funded disease system was the nervous system (¥ 93,186,000, 37.76%), followed by the respiratory system (¥ 35,444,000, 13.98%); the most funded diseases were multiple sclerosis (¥ 34,870,000, 13.75%), idiopathic pulmonary fibrosis (¥ 29,854,000, 11.78%), and retinitis pigmentosa (¥ 27,005,000, 10.65%); the most funded regions were East China (¥ 106,987,000, 42.20%) and North China (¥ 71,844,000, 28.34%), while the least funded region was Northwest China (¥ 7,295,000, 2.88%); among the supporting institutions, the most funded institutions were Peking University (¥ 24,720,000, 9.75%), and Sun Yat-sen University (¥ 14,505,000, 5.72%).

Conclusion: With the promulgation of more policies on encouragement of innovation and accelerated approval procedures, etc., the National Natural Science Foundation of China has been increasing its funding to rare diseases, covering increasingly more categories of funded projects, more types of diseases, and wider regions. Nonetheless, the support for scientific research in China is still relatively weak. Therefore, it is proposed that the healthy and sustainable development in the course of rare diseases should be promoted through the improvement of relevant rare disease policies, encouragement of R&D of medicine for rare diseases, the establishment of special funds for rare diseases, acceleration of fund circulation, and combination of balanced development and preferential funding to key regions and major diseases.

Functional characterization of novel variants in SMPD1 in Indian patients with acid sphingomyelinase deficiency

Pathogenic variations in SMPD1 lead to acid sphingomyelinase deficiency (ASMD), that is, Niemann-Pick disease (NPD) type A and B (NPA, NPB), which is a recessive lysosomal storage disease. The knowledge of variant spectrum in Indian patients is crucial for early and accurate NPD diagnosis and genetic counseling of families. In this study, we recruited 40 unrelated pediatric patients manifesting symptoms of ASMD and subnormal ASM enzyme activity. Variations in SMPD1 were studied using Sanger sequencing for all exons, followed by interpretation of variants based on American College of Medical Genetics and Genomics & Association for Molecular Pathology (ACMG/AMP) criteria. We identified 18 previously unreported variants and 21 known variants, including missense, nonsense, deletions, duplications, and splice site variations with disease-causing potential. Eight missense variants were functionally characterized using in silico molecular dynamic simulation and in vitro transient transfection in HEK293T cells, followed by ASM enzyme assay, immunoblot, and immunofluorescence studies. All the variants showed reduced ASM activity in transfected cells confirming their disease-causing potential. The study provides data for efficient prenatal diagnosis and genetic counseling of families with NPD type A and B.

Utility of clinical exome sequencing in the evaluation of neonates with suspected genetic condition - An observational study from tertiary neonatal care unit in South India

OBJECTIVES

To study the utility of clinical exome sequencing (CES) using next generation sequencing (NGS) in evaluating neonates with suspected genetic conditions.

METHODS

This is an observational study conducted in a tertiary care neonatal unit. We included neonates with suspected genetic conditions, for whom CES were done either by direct sampling or from stored DNA. Data was collected from the Sri Ramachandra centre of excellence in perinatal health (SCOPE) case records of 2016-2019. Yield of CES, percentage of pathogenic, non-pathogenic and variant of uncertain significance (VUS) and associated disorders were studied.

RESULTS

CES was done in 36 neonates. Variants were detected in 78% (28/36). However, significant variants with clinical correlation were present in 20 (56%) babies. Test was carried out from the stored sample in 10 (28%) babies. Mean turn-around time was 39 ± 7 days. Specialist was involved in 1 and treatment changes were done in 5 neonates. Five out of 8 VUS were clinically correlating. Inborn errors of metabolism were the commonest (60%). Two VUS were ascertained as likely pathogenic after parental segregation analysis.

CONCLUSION

CES has a definite role in evaluation of suspected genetic conditions for diagnosis and prognostication. It also helps scientific society to build in additional evidence so that the "VUS" could be asserted as "likely pathogenic" . Our experience reiterates the importance of storing and archiving DNA of the affected child.

A data set of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in Indians

Given the genomic uniqueness, a local data set is most desired for Indians, who are underrepresented in existing public databases. We hypothesize patients with rare monogenic disorders and their family members can provide a reliable source of common variants in the population. Exome sequencing (ES) data from families with rare Mendelian disorders was aggregated from five centers in India. The dataset was refined by excluding related individuals and removing the disease-causing variants (refined cohort). The efficiency of these data sets was assessed in a new set of 50 exomes against gnomAD and GenomeAsia. Our original cohort comprised 1455 individuals from 1203 families. The refined cohort had 836 unrelated individuals that retained 1,251,064 variants with 181,125 population-specific and 489,618 common variants. The allele frequencies from our cohort helped to define 97,609 rare variants in gnomAD and 44,520 rare variants in GenomeAsia as common variants in our population. Our variant dataset provided an additional 1.7% and 0.1% efficiency for prioritizing heterozygous and homozygous variants respectively for rare monogenic disorders. We observed additional 19 genes/human knockouts. We list carrier frequency for 142 recessive disorders. This is a large and useful resource of exonic variants for Indians. Despite limitations, datasets from patients are efficient tools for variant prioritization in a resource-limited setting.

V, Jain S, Dash D, Kumar NS, Vanlallawma A, Sarma R, Chhakchhuak L, Kalyanaraman S, Mahadevan R, Kandasamy S, B. M. P, Rajagopal RE, J. ER, P. ND, Bajaj A, Gupta V, Mathew S, Goswami S, Mangla M, Prakash S, Joshi K, S. S, Gajjar D, Soraisham R, Yadav R, Devi YS, Gupta A, Mukerji M, Ramalingam S, B. K. B, Scaria V, Sivasubbu S. IndiGenomes: a comprehensive resource of genetic variants from over 1000 Indian genomes

With the advent of next-generation sequencing, large-scale initiatives for mining whole genomes and exomes have been employed to better understand global or population-level genetic architecture. India encompasses more than 17% of the world population with extensive genetic diversity, but is under-represented in the global sequencing datasets. This gave us the impetus to perform and analyze the whole genome sequencing of 1029 healthy Indian individuals under the pilot phase of the 'IndiGen' program. We generated a compendium of 55,898,122 single allelic genetic variants from geographically distinct Indian genomes and calculated the allele frequency, allele count, allele number, along with the number of heterozygous or homozygous individuals. In the present study, these variants were systematically annotated using publicly available population databases and can be accessed through a browsable online database named as 'IndiGenomes' http://clingen.igib.res.in/indigen/. The IndiGenomes database will help clinicians and researchers in exploring the genetic component underlying medical conditions. Till date, this is the most comprehensive genetic variant resource for the Indian population and is made freely available for academic utility. The resource has also been accessed extensively by the worldwide community since it's launch.

A Report on a Family with TMTC3-Related Syndrome and Review

Recessive mutations in the TMTC3 gene have been reported in thirteen patients to date exhibiting development delay, intellectual disability (ID), seizures, and muscular hypotonia, accompanied occasionally by neuronal migration defects expressed as either cobblestone lissencephaly or periventricular hypertopia. Here, we report a new case of a TMTC3-related syndrome in a Lebanese family with two affected siblings showing severe psychomotor retardation, intellectual disability, microcephaly, absence of speech, muscular hypotonia, and seizures. Whole exome sequencing revealed a homozygous pathogenic variant c.211 C > T (p.R71C) in the TMTC3 gene in both siblings. A review of the literature on TMTC3-related syndrome and its causal mutations is provided.

A Review on the Challenges in Indian Genomics Research for Variant Identification and Interpretation

Today, genomic data holds great potential to improve healthcare strategies across various dimensions – be it disease prevention, enhanced diagnosis, or optimized treatment. The biggest hurdle faced by the medical and research community in India is the lack of genotype-phenotype correlations for Indians at a population-wide and an individual level. This leads to inefficient translation of genomic information during clinical decision making. Population-wide sequencing projects for Indian genomes help overcome hurdles and enable us to unearth and validate the genetic markers for different health conditions. Machine learning algorithms are essential to analyze huge amounts of genotype data in synergy with gene expression, demographic, clinical, and pathological data. Predictive models developed through these algorithms help in classifying the individuals into different risk groups, so that preventive measures and personalized therapies can be designed. They also help in identifying the impact of each genetic marker with the associated condition, from a clinical perspective. In India, genome sequencing technologies have now become more accessible to the general population. However, information on variants associated with several major diseases is not available in publicly-accessible databases. Creating a centralized database of variants facilitates early detection and mitigation of health risks in individuals. In this article, we discuss the challenges faced by genetic researchers and genomic testing facilities in India, in terms of dearth of public databases, people with knowledge on machine learning algorithms, computational resources and awareness in the medical community in interpreting genetic variants. Potential solutions to enhance genomic research in India, are also discussed.

Equitable Expanded Carrier Screening Needs Indigenous Clinical and Population Genomic Data

Expanded carrier screening (ECS) for recessive monogenic diseases requires prior knowledge of genomic variation, including DNA variants that cause disease. The composition of pathogenic variants differs greatly among human populations, but historically, research about monogenic diseases has focused mainly on people with European ancestry. By comparison, less is known about pathogenic DNA variants in people from other parts of the world. Consequently, inclusion of currently underrepresented Indigenous and other minority population groups in genomic research is essential to enable equitable outcomes in ECS and other areas of genomic medicine. Here, we discuss this issue in relation to the implementation of ECS in Australia, which is currently being evaluated as part of the national Government's Genomics Health Futures Mission. We argue that significant effort is required to build an evidence base and genomic reference data so that ECS can bring significant clinical benefit for many Aboriginal and/or Torres Strait Islander Australians. These efforts are essential steps to achieving the Australian Government's objectives and its commitment "to leveraging the benefits of genomics in the health system for all Australians." They require culturally safe, community-led research and community involvement embedded within national health and medical genomics programs to ensure that new knowledge is integrated into medicine and health services in ways that address the specific and articulated cultural and health needs of Indigenous people. Until this occurs, people who do not have European ancestry are at risk of being, in relative terms, further disadvantaged.

Comprehensive Rare Disease Care model for screening and diagnosis of rare genetic diseases - an experience of private medical college and hospital, South India

Rare diseases (RD) of genetic origin are raising public health concern contributing to a massive economic burden in India. Establishing Specialty Centers to bridge the RD community with apex centers is felt as a need in developing countries. Hence a Comprehensive Rare Disease Care (CRDC) model was set up at the department of pediatrics under Center for Human Genomics and Counseling at a medical college hospital in South India. The patients suspected to have genetic disease were evaluated as per the work flow of the designed model. The utilization statistics depict the outcome of this model. In the face of limited resources, it was possible to establish a functional RD unit with meticulous planning, supportive administration and trained interdisciplinary staff. A scalable prototype that could be replicated in other Medical colleges and Hospitals of India is described.