Title |
Harmonizing the interpretation of genetic variants across the world: the Malaysian experience
|
---|---|
Published in |
BMC Research Notes, February 2016
|
DOI | 10.1186/s13104-015-1798-0 |
Pubmed ID | |
Authors |
Nik Norliza Nik Hassan, John-Paul Plazzer, Timothy D. Smith, Hashim Halim-Fikri, Finlay Macrae, A. Zubaidi AL, Bin Alwi Zilfalil |
Abstract |
Databases for gene variants are very useful for sharing genetic data and to facilitate the understanding of the genetic basis of diseases. This report summarises the issues surrounding the development of the Malaysian Human Variome Project Country Node. The focus is on human germline variants. Somatic variants, mitochondrial variants and other types of genetic variation have corresponding databases which are not covered here, as they have specific issues that do not necessarily apply to germline variations. The ethical, legal, social issues, intellectual property, ownership of the data, information technology implementation, and efforts to improve the standards and systems used in data sharing are discussed. An overarching framework such as provided by the Human Variome Project to co-ordinate activities is invaluable. Country Nodes, such as MyHVP, enable human gene variation associated with human diseases to be collected, stored and shared by all disciplines (clinicians, molecular biologists, pathologists, bioinformaticians) for a consistent interpretation of genetic variants locally and across the world. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Librarian | 2 | 18% |
Other | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Student > Master | 1 | 9% |
Other | 1 | 9% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 18% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Computer Science | 1 | 9% |
Agricultural and Biological Sciences | 1 | 9% |
Social Sciences | 1 | 9% |
Other | 1 | 9% |
Unknown | 4 | 36% |