The Khayelitsha Comorbidity Cohort: Establishing a multimorbidity cohort with integrated clinical, genomic and epidemiological data in South Africa.
The Khayelitsha Comorbidity Cohort: Establishing a multimorbidity cohort with integrated clinical, genomic and epidemiological data in South Africa.
批准号:
MC_PC_22007
负责人:
Nicki Tiffin
金额:
$25.37万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
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英文摘要
In the Western Cape Province of South Africa, there is a large burden of diseases including infectious diseases HIV and TB as well as chronic diseases like hypertension, diabetes and kidney disease. Often patients have more than one condition at the same time. The Provincial Health Data Centre (PHDC) at the Department of Health collects ongoing patient information about their visits to health facilities, medicines received and laboratory tests done, in order to provide health care. Where patients consent, these health data can be used for research to better understand health conditions. Genes and DNA are unique to each individual and can affect whether they will get some diseases, how ill they will get with those illnesses, and how they respond to treatment. By understanding this relationship between DNA and diseases, individual patients will be able to receive better health care tailored to their own DNA sequence. Most of the research done on DNA and diseases until now has been done on Caucasian populations, and African patients have been poorly represented in research. This means that most health care is not optimised for Africans, even though African populations have rich genetic diversity which can provide many insights into the mechanisms of disease through biomedical research. In addition, research about genetic effects on disease have generally been conducted from the perspective of looking at a single disease and doing the analysis on who has the disease or not without taking into consideration other health conditions that the participant might also be experiencing. Recently, the H3Africa Bioinformatics Network (H3ABioNet) developed the H3Africa Illumina genotyping chip, a tool that is specifically optimised for measuring DNA variation in Africans, across the whole human genome. With the consent of research participants, health data from the PHDC can be combined with genetic data generated using the H3Africa genotyping chip, making it possible to research the relationship between DNA and different diseases in African individuals. In the first instance, this project aims to collect 700 DNA samples from consenting participants and link their DNA data to their health data from the PHDC. In this first stage it will be possible to research the more common diseases - hypertension, diabetes and kidney disease; but as the number of research participants increases in the future it will also become possible to research the less common illnesses. Updated health information will be received from the PHDC twice a year, to document all health outcomes as they occur in participants going forward. An additional benefit to this research is that it will use a participant-based approach rather than a disease-based view, researching the whole health profile of the participant instead of only looking at whether they have a single disease or not. By working in collaboration with the Department of Health, a system will be set up to return useful findings from the research so that they can be used to provide better tailored health care by the Department of Health for individuals as well as the whole population. The information will also help to inform health care in other African countries, and well as providing research insights that can help improve our understanding of disease processes across the world.
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Multimorbidity research in Sub-Saharan Africa: Proceedings of an interdisciplinary workshop
撒哈拉以南非洲的多发病研究:跨学科研讨会论文集
DOI:
10.12688/wellcomeopenres.18850.1
发表时间:
2023
期刊:
Wellcome Open Research
影响因子:
--
作者:
[Banda G]
通讯作者:
Banda G
DOI:
10.1186/s13073-023-01245-9
发表时间:
2023-10-30
期刊:
GENOME MEDICINE
影响因子:
12.3
作者:
[Fatumo, Segun, Sathan, Dassen, Samtal, Chaimae, Isewon, Itunuoluwa, Tamuhla, Tsaone, Soremekun, Chisom, Jafali, James, Panji, Sumir, Tiffin, Nicki, Fakim, Yasmina Jaufeerally]
通讯作者:
Fakim, Yasmina Jaufeerally
DOI:
10.1371/journal.pgph.0002730
发表时间:
2023
期刊:
PLOS global public health
影响因子:
--
作者:
[]
通讯作者:
DOI:
10.1136/bmjgh-2023-013092
发表时间:
2023-10
期刊:
BMJ GLOBAL HEALTH
影响因子:
8.1
作者:
[Tamuhla, Tsaone, Lulamba, Eddie T., Mutemaringa, Themba, Tiffin, Nicki]
通讯作者:
Tiffin, Nicki
海外基金