Prevalence and Risk Factors for Type 2 Diabetes Complications and Comorbidity in Sub-Saharan Africans

2019 ◽  
Author(s):  
Kenneth Ekoru ◽  
Ayo Doumatey ◽  
Amy R. Bentley ◽  
Guanjie Chen ◽  
Jie Zhou ◽  
...  
2019 ◽  
Vol 16 ◽  
pp. 30-41 ◽  
Author(s):  
Kenneth Ekoru ◽  
Ayo Doumatey ◽  
Amy R. Bentley ◽  
Guanjie Chen ◽  
Jie Zhou ◽  
...  

2019 ◽  
Author(s):  
Kenneth Ekoru ◽  
Ayo Doumatey ◽  
Amy R. Bentley ◽  
Guanjie Chen ◽  
Jie Zhou ◽  
...  

2019 ◽  
Vol 229 (4) ◽  
pp. e136
Author(s):  
Paddy Ssentongo ◽  
Laura Keeney ◽  
Anna E. Ssentongo ◽  
Sarah Peiffer ◽  
Eustina Kwon ◽  
...  

2017 ◽  
Vol 11 ◽  
pp. S1047-S1051 ◽  
Author(s):  
Heitham Awadalla ◽  
Sufian K. Noor ◽  
Wadie M. Elmadhoun ◽  
Ahmed O. Almobarak ◽  
Nehad E. Elmak ◽  
...  

Author(s):  
K. Ekoru ◽  
E. H. Young ◽  
C. Adebamowo ◽  
N. Balde ◽  
B. J. Hennig ◽  
...  

SummaryThe 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.


2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Youssra Dakroury ◽  
Stephen L. Atkin ◽  
Soha R. Dargham ◽  
Amal Robay ◽  
Juan Rodriguez-Flores ◽  
...  

Objective. There is increasing evidence of a strong genetic component in type 2 diabetes (T2DM) that may contribute to diabetes complications. Given the high prevalence of diabetes with its associated complications in the Middle East, we sought to determine if the genotype within a Middle East population may be contributory. Therefore, three genotype-based Qatari ancestral groups, Q1 Arab Bedouin, Q2 Asian/Persian, and Q3 sub-Saharan African, with a fourth admixed group were correlated with T2DM prevalence and its complications to determine if they differed between the 4 Qatari ancestries, particularly for the SLMAP allele-associated diabetic retinopathy. Methods. In this cross-sectional study, 398 Qatari subjects, 220 with and 178 without T2DM, were genotyped by Affymetrix 500k SNP arrays. Ancestry was correlated with diabetes complications. Results. 398 subjects were included, the mean age was 49.8 years, and 56.8% were male. The genotype-based ancestry and T2DM prevalence were as follows: 164 (41.2%) with ancestry Q1, 60.4% with T2DM; 149 (37.4%) with ancestry Q2, 49.7% with T2DM; 31 (7.8%) with ancestry Q3, 61.3% with T2DM; and 54 (13.6%) with “admixed” ancestry, 51.9% with T2DM. For patients with diabetes, hypertension (p<0.035) and retinopathy (p<0.016) were greater in the Q3 ancestry. Conclusion. These data suggest that the genotype may contribute to complication risk, as exemplified by the increase in hypertension and retinopathy in the Q3 ancestry, though the SLMAP allele was not implicated; however, diabetes prevalence did not differ between the four Qatari ancestries.


2018 ◽  
Vol 10 (9) ◽  
pp. 744-752 ◽  
Author(s):  
Maryam Tabesh ◽  
Jonathan E. Shaw ◽  
Paul Z. Zimmet ◽  
Stefan Söderberg ◽  
Digsu N. Koye ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document