| Literature DB >> 33836792 |
Mohammad Jakir Hosen1, Saeed Anwar2, Jarin Taslem Mourosi3, Sourav Chakraborty4, Md Faruque Miah5, Olivier M Vanakker6.
Abstract
With the advancements in genetics and genomics in the twenty-first century, genetic services have become an integral part of medical practices in high-income and upper-middle-income countries. However, people living in low and lower-middle-income countries (LICs and LIMCs), including Bangladesh, are rather underprivileged in receiving genetic services. Consequently, genetic disorders are emerging as a significant public health concern in these countries. Lack of expertise, high expense, the dearth of epidemiological data, insufficiently updated medical education system, poor infrastructure, and the absence of comprehensive health policies are the main factors causing people living in these countries not having access to genetic services. In this article, the authors took benefit from their professional experience of practicing medical genetics in the area and reviewed existing literature to provide their opinions. Particularly, it reviews the current knowledge of genetic disorders' burden and their causative factors in Bangladesh. It focuses on why providing genetic services is challenging in the context of the country's cultural and religious sentiment. Finally, it proposes a physician-academician collaborative framework within the existing facility that aims to tackle the challenges. Such a framework could also be useful for other LICs and LMICs to address the challenges associated with providing genetic services.Entities:
Keywords: Collaborative research; Disease burden in Bangladesh; Genetic counseling; Genetic service; Legal and social issues; Neonatal screening
Mesh:
Year: 2021 PMID: 33836792 PMCID: PMC8034097 DOI: 10.1186/s13023-021-01804-6
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.123
Health-related socio-demographic features of Bangladesh
| Broad area | Indicators | Value |
|---|---|---|
| Population | Total | 162.6 million [ |
| Density (population/km2) | 1015 [ | |
| Average death per 1000 people | 5.4 [ | |
| Life expectancy | Male | 66.64 years [ |
| Female | 68.79 years [ | |
| No. of doctors | Per per 10,000 people | 3.9 [ |
| No. of hospital beds | Per 10,000 people | 4 [ |
| No. of physicians | Total | 11,300 [ |
| Nurses | Per 10,000 people | 1.07 [ |
| Health services | GDP spent on healthcare | 2.8% [ |
| Health expenditure as a % government budget | 7.4 [ | |
| Out-of-pocket expenditure for health | 65.9% [ | |
| Percent coming from development aid/partners | 8 [ | |
| Per capita total expenditure on health | 23 [ |
GDP gross domestic product, no number
Fig. 1Patient education and infrastructure development on a genetic service implementation perspective in Bangladesh
Fig. 2Model for implementing genetic diagnostics and counseling in Bangladesh. Patients will be identified, and histopathological and biochemical tests will be performed using the available facilities of the collaborating medical colleges. The molecular analysis will be performed at the genetic facilities of the university and foreign collaborators. This “Medical College-University-Foreign expert” model can be an effective model for setting up genetic counseling service provision systems in low-income and lower-middle-income countries. GDR genetic disease resource
Strategies for gene discovery
| Characteristics | Approach to analysis |
|---|---|
| Unrelated individuals or families affected by the same very rare but highly relatable clinical condition | Identify a common disease-associated gene or pathway shared between unrelated affected individuals |
| Inbred (e.g., consanguineous) families | Map based on homozygosity to exclude most of the genome |
| Autosomal-dominant families | Map to exclude most of the genome |
| Non-inbred families with two or more affected siblings | Identify compound-heterozygous variants (in the same gene) shared between affected siblings |
| Single affected individuals with no family history | Identify deleterious variants in genes with disease associations |