Chapter title |
Indigenous Genetics and Rare Diseases: Harmony, Diversity and Equity
|
---|---|
Chapter number | 27 |
Book title |
Rare Diseases Epidemiology: Update and Overview
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-67144-4_27 |
Pubmed ID | |
Book ISBNs |
978-3-31-967142-0, 978-3-31-967144-4
|
Authors |
Gareth Baynam, Caron Molster, Alicia Bauskis, Emma Kowal, Ravi Savarirayan, Margaret Kelaher, Simon Easteal, Libby Massey, Gail Garvey, Jack Goldblatt, Nicholas Pachter, Tarun S. Weeramanthri, Hugh J. S. Dawkins, Baynam, Gareth, Molster, Caron, Bauskis, Alicia, Kowal, Emma, Savarirayan, Ravi, Kelaher, Margaret, Easteal, Simon, Massey, Libby, Garvey, Gail, Goldblatt, Jack, Pachter, Nicholas, Weeramanthri, Tarun S., Dawkins, Hugh J. S. |
Abstract |
Advances in our understanding of genetic and rare diseases are changing the face of healthcare. Crucially, the global community must implement these advances equitably to reduce health disparities, including between Indigenous and non-Indigenous peoples. We take an Australian perspective to illustrate some key areas that are fundamental to the equitable translation of new knowledge for the improved diagnosis of genetic and rare diseases for Indigenous people. Specifically, we focus on inequalities in access to clinical genetics services and the lack of genetic and phenomic reference data to inform diagnoses. We provide examples of ways in which these inequities are being addressed through Australian partnerships to support a harmonious and inclusive approach to ensure that benefits from traditional wisdom, community knowledge and shared experiences are interwoven to support and inform implementation of new knowledge from genomics and precision public health. This will serve to deliver benefits to all of our diverse citizens, including Indigenous populations. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Saint Lucia | 1 | 50% |
Montenegro | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 15% |
Student > Bachelor | 6 | 11% |
Other | 5 | 9% |
Researcher | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 9 | 16% |
Unknown | 18 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 18% |
Biochemistry, Genetics and Molecular Biology | 9 | 16% |
Nursing and Health Professions | 4 | 7% |
Psychology | 4 | 7% |
Agricultural and Biological Sciences | 3 | 5% |
Other | 6 | 11% |
Unknown | 19 | 35% |