2018
Yandiswa Y Yako; Eric V Balti; Tandi E Matsha; Anastase Dzudie; Deirdre Kruger; Eugene Sobngwi; Charles Agyemang; Andre P Kengne
Genetic factors contributing to hypertension in African-based populations: A systematic review and meta-analysis. Article de journal
Dans: Journal of clinical hypertension (Greenwich, Conn.), vol. 20, iss. 3, p. 485-495, 2018, ISSN: 1751-7176.
Résumé | Liens | BibTeX | Étiquettes: Africa, blood pressure, diastolic, genetics, hypertension, systolic
@article{Yako2018,
title = {Genetic factors contributing to hypertension in African-based populations: A systematic review and meta-analysis.},
author = {Yandiswa Y Yako and Eric V Balti and Tandi E Matsha and Anastase Dzudie and Deirdre Kruger and Eugene Sobngwi and Charles Agyemang and Andre P Kengne},
url = {http://www.ncbi.nlm.nih.gov/pubmed/29520984},
doi = {10.1111/jch.13225},
issn = {1751-7176},
year = {2018},
date = {2018-01-01},
journal = {Journal of clinical hypertension (Greenwich, Conn.)},
volume = {20},
issue = {3},
pages = {485-495},
abstract = {In a systematic review, the authors explored genetic association studies of essential hypertension in African populations. Studies reporting on the association of polymorphism(s) with hypertension in African populations were included. Appropriate studies were pooled using random effects model meta-analysis, under six potential inheritance models. In all, 46 polymorphisms in 33 genes were investigated for their association with hypertension or blood pressure levels. Meta-analysis was possible for three single nucleotide polymorphisms: rs4340, rs699, and rs5186. An association was found between rs5186, rs699, and hypertension under allele contrast and homozygous codominant models (odds ratio, 1.63 [95% confidence interval, 1.04-2.54] and 4.01 [95% confidence interval, 1.17-13.80] for rs5186, respectively; and 1.80 [95% confidence interval, 1.13-2.87] for rs699). Findings were mostly robust in sensitivity analyses. According to the systematic review, there is currently insufficient evidence on the specific polymorphisms that pose the risk of hypertension in African populations. Large-scale genetic studies are warranted to better understand susceptibility polymorphisms that may be specific to African populations.},
keywords = {Africa, blood pressure, diastolic, genetics, hypertension, systolic},
pubstate = {published},
tppubtype = {article}
}
Jean Jacques Noubiap; Edith Pascale M Mato; Magellan Guewo-Fokeng; Arnaud D Kaze; Houssam Boulenouar; Ambroise Wonkam
Genetic Determinants of Dyslipidemia in African-Based Populations: A Systematic Review. Article de journal
Dans: Omics : a journal of integrative biology, vol. 22, iss. 12, p. 749-758, 2018, ISSN: 1557-8100.
Résumé | Liens | BibTeX | Étiquettes: Africa, biomarkers, cardiovascular health and disease, dyslipidemia, genetics, genomics, polymorphism
@article{Noubiap2018,
title = {Genetic Determinants of Dyslipidemia in African-Based Populations: A Systematic Review.},
author = {Jean Jacques Noubiap and Edith Pascale M Mato and Magellan Guewo-Fokeng and Arnaud D Kaze and Houssam Boulenouar and Ambroise Wonkam},
url = {http://www.ncbi.nlm.nih.gov/pubmed/30571611 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC7001384},
doi = {10.1089/omi.2018.0158},
issn = {1557-8100},
year = {2018},
date = {2018-01-01},
journal = {Omics : a journal of integrative biology},
volume = {22},
issue = {12},
pages = {749-758},
abstract = {Identification of genetic/genomic factors contributing to dyslipidemia is of great interest to prevention and reduction of the onset and burden of cardiovascular diseases in Africa. This systematic review summarizes available data on genetic variants associated with dyslipidemia in populations within Africa. A PubMed and EMBASE database search was conducted to identify all studies published until June 2018 on genetic susceptibility to dyslipidemia in African-based populations, excluding familial hypercholesterolemia. All studies on genetic predispositions of dyslipidemia and respecting the preestablished inclusion criteria were included in this systematic review. Because of high heterogeneity, the data were summarized narratively. Twenty-two studies investigated mostly the targeted genetic variants. A total of 51 polymorphisms in 28 susceptibility genes to dyslipidemia have been associated with a particular trait in the African populations, and through variable effects. Most polymorphisms investigated in Northern Africa seemed to have consistent effects on increasing the level of low-density lipoprotein cholesterol (LDL-C), total cholesterol, and triglycerides in patients with diabetes, myocardial infarction, coronary artery disease, and metabolic syndrome. By contrast, only Ser447Ter and C49620T variants were associated with increased LDL-C in sub-Saharan Africa. Despite few studies available in this context in the literature, certain genetic variants were consistently associated with dyslipidemia especially in Northern Africa as highlighted in this analysis. Further data, particularly from genome-wide association studies, would help establish an African-specific reference for genetic susceptibility markers of dyslipidemia.},
keywords = {Africa, biomarkers, cardiovascular health and disease, dyslipidemia, genetics, genomics, polymorphism},
pubstate = {published},
tppubtype = {article}
}
2016
K. Ekoru; E. H. Young; C. Adebamowo; N. Balde; B. J. Hennig; P. Kaleebu; S. Kapiga; N. S. Levitt; M. Mayige; J. C. Mbanya; M. I. McCarthy; O. Nyan; M. Nyirenda; J. Oli; K. Ramaiya; L. Smeeth; E. Sobngwi; C. N. Rotimi; M. S. Sandhu; A. A. Motala
H3Africa multi-centre study of the prevalence and environmental and genetic determinants of type 2 diabetes in sub-Saharan Africa: study protocol Article de journal
Dans: Global Health, Epidemiology and Genomics, vol. 1, p. e5, 2016, ISSN: 2054-4200.
Résumé | Liens | BibTeX | Étiquettes: Epidemiology, genetics, H3Africa, Sub-Saharan Africa, type 2 diabetes
@article{Ekoru2016,
title = {H3Africa multi-centre study of the prevalence and environmental and genetic determinants of type 2 diabetes in sub-Saharan Africa: study protocol},
author = {K. Ekoru and E. H. Young and C. Adebamowo and N. Balde and B. J. Hennig and P. Kaleebu and S. Kapiga and N. S. Levitt and M. Mayige and J. C. Mbanya and M. I. McCarthy and O. Nyan and M. Nyirenda and J. Oli and K. Ramaiya and L. Smeeth and E. Sobngwi and C. N. Rotimi and M. S. Sandhu and A. A. Motala},
url = {https://www.cambridge.org/core/product/identifier/S2054420015000068/type/journal_article},
doi = {10.1017/gheg.2015.6},
issn = {2054-4200},
year = {2016},
date = {2016-01-01},
journal = {Global Health, Epidemiology and Genomics},
volume = {1},
pages = {e5},
abstract = {The burden and aetiology of type 2 diabetes (T2D) and its microvascular complications may be influenced by varying behavioural and lifestyle environments as well as by genetic susceptibility. These aspects of the epidemiology of T2D have not been reliably clarified in sub-Saharan Africa (SSA), highlighting the need for context-specific epidemiological studies with the statistical resolution to inform potential preventative and therapeutic strategies. Therefore, as part of the Human Heredity and Health in Africa (H3Africa) initiative, we designed a multi-site study comprising case collections and population-based surveys at 11 sites in eight countries across SSA. The goal is to recruit up to 6000 T2D participants and 6000 control participants. We will collect questionnaire data, biophysical measurements and biological samples for chronic disease traits, risk factors and genetic data on all study participants. Through integrating epidemiological and genomic techniques, the study provides a framework for assessing the burden, spectrum and environmental and genetic risk factors for T2D and its complications across SSA. With established mechanisms for fieldwork, data and sample collection and management, data-sharing and consent for re-approaching participants, the study will be a resource for future research studies, including longitudinal studies, prospective case ascertainment of incident disease and interventional studies.},
keywords = {Epidemiology, genetics, H3Africa, Sub-Saharan Africa, type 2 diabetes},
pubstate = {published},
tppubtype = {article}
}

