ASSAf consensus study on the ethical, legal and social implications of genetics and genomics in South Africa

CITATION: Pepper, M. S., et al. 2018. ASSAf consensus study on the ethical, legal and social implications of genetics and genomics in South Africa. South African Journal of Science, 114(11/12), Art. #a0302, doi:10.17159/sajs.2018/a0302.The original publication is available at http://sajs.co.zaNo abstract available.https://www.sajs.co.za/article/view/5822Publisher's versio

Ethical and practical issues to consider in the governance of genomic and human research data and data sharing in South Africa: a meeting report

Genomic research and biobanking has undergone exponential growth in Africa and at the heart of this research is the sharing of biospecimens and associated clinical data amongst researchers in Africa and across the world. While this move towards open science is progressing, there has been a strengthening internationally of data protection regulations that seek to safeguard the rights of data subjects while promoting the movement of data for the benefit of research. In line with this global shift, many jurisdictions in Africa are introducing data protection regulations, but there has been limited consideration of the regulation of data sharing for genomic research and biobanking in Africa. South Africa (SA) is one country that has sought to regulate the international sharing of data and has enacted the Protection of Personal Information Act (POPIA) 2013 that will change the governance and regulation of data in SA, including health research data, once it is in force. To identify and discuss challenges and opportunities in the governance of data sharing for genomic and health research data in SA, a two-day meeting was convened in February 2019 in Cape Town, SA with over 30 participants with expertise in law, ethics, genomics and biobanking science, drawn from academia, industry, and government. This report sets out some of the key challenges identified during the workshop and the opportunities and limitations of the current regulatory framework in SA

Privacy rights of human research participants in South Africa must be taken seriously

The Protection of Personal Information Act 4 of 2013 (POPIA) was enacted by the South African (SA) parliament in 2013 after a long process of public consultation. To allow all sectors of SA society sufficient time to prepare to be compliant with POPIA, the SA government deferred the entering into force of the substantive provisions of POPIA for several years. Throughout this hiatus period, POPIA was widely publicised in the SA media, as is evident from any internet search.http://www.samj.org.zaam2021Immunolog

POPIA Code of Conduct for Research

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Corrigendum: POPIA Code of Conduct for Research

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Books: Autoimmune liver diseases

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Data Commercialisation in the South African Health Care Context

Realisation of the value and the commercialisation potential of data is gaining exponential momentum. The combination of historical data exploitations and the use of technologies that allow for the triangulation of data results in the collection, storage, and processing of massive amounts of data require diligent data management, including adherence to privacy and other laws, both nationally and internationally. The intrinsic value of scientific data, especially in genomics, becomes apparent when data are shared, often in collaboration with international partners, and compiled into big data sets that are subsequently used for benefit, including commercial benefit. The purpose of this article is to explore the commercialisation of data in South Africa against the backdrop of the legal framework governing the protection of personal information, confidentiality and privacy, with a specific focus on genetic and genomic information. Related issues, such as the collection and sharing of data, ownership of data and challenges about informed consent are also considered. After a brief evaluation of the African regulatory landscape relating to the protection of personal information, the article concludes with a few recommendations aimed at improving the status quo and sensitising the South African public as to the value of their data and personal information, as well as the potential uses and abuses to which their personal information may be subjecte

mtDNA Variation in the South African Kung and Khwe—and Their Genetic Relationships to Other African Populations

The mtDNA variation of 74 Khoisan-speaking individuals (Kung and Khwe) from Schmidtsdrift, in the Northern Cape Province of South Africa, was examined by high-resolution RFLP analysis and control region (CR) sequencing. The resulting data were combined with published RFLP haplotype and CR sequence data from sub-Saharan African populations and then were subjected to phylogenetic analysis to deduce the evolutionary relationships among them. More than 77% of the Kung and Khwe mtDNA samples were found to belong to the major mtDNA lineage, macrohaplogroup L* (defined by a HpaI site at nucleotide position 3592), which is prevalent in sub-Saharan African populations. Additional sets of RFLPs subdivided macrohaplogroup L* into two extended haplogroups—L1 and L2—both of which appeared in the Kung and Khwe. Besides revealing the significant substructure of macrohaplogroup L* in African populations, these data showed that the Biaka Pygmies have one of the most ancient RFLP sublineages observed in African mtDNA and, thus, that they could represent one of the oldest human populations. In addition, the Kung exhibited a set of related haplotypes that were positioned closest to the root of the human mtDNA phylogeny, suggesting that they, too, represent one of the most ancient African populations. Comparison of Kung and Khwe CR sequences with those from other African populations confirmed the genetic association of the Kung with other Khoisan-speaking peoples, whereas the Khwe were more closely linked to non–Khoisan-speaking (Bantu) populations. Finally, the overall sequence divergence of 214 African RFLP haplotypes defined in both this and an earlier study was 0.364%, giving an estimated age, for all African mtDNAs, of 125,500–165,500 years before the present, a date that is concordant with all previous estimates derived from mtDNA and other genetic data, for the time of origin of modern humans in Africa