GA Mensah . Descriptive epidemiology of cardiovascular risk factors and diabetes in sub-Saharan Africa. Progress in Cardiovascular Diseases
2013; 56: 240–250.
S Dalal , et al.
Non-communicable diseases in sub-Saharan Africa: what we know now. International Journal of Epidemiology
2011; 40: 885–901.
NJ Crowther , SA Norris . The current waist circumference cut point used for the diagnosis of metabolic syndrome in sub-Saharan African women is not appropriate. PLoS ONE
2012; 7: e48883.
M Ramsay , O Sankoh , As members of the AWIGs, the HAC. African partnerships through the H3Africa Consortium bring a genomic dimension to longitudinal population studies on the continent. International Journal of Epidemiology
2015; 45: 305–308.
K Derra , et al.
Profile: Nanoro Health and Demographic Surveillance system. International Journal of Epidemiology
2012; 41: 1293–1301.
AR Oduro , et al.
Profile of the Navrongo health and demographic surveillance system. International Journal of Epidemiology
2012; 41: 968–976.
D Beguy , et al.
Health & demographic surveillance system profile: the Nairobi urban health and demographic surveillance system (NUHDSS). International Journal of Epidemiology
2015; 44: 462–471.
K Kahn , et al.
Profile: Agincourt health and socio-demographic surveillance system. International Journal of Epidemiology
2012; 41: 988–1001.
M Alberts , et al.
Health & demographic surveillance system profile: the Dikgale health and demographic surveillance system. International Journal of Epidemiology
2015; 44: 1565–1571.
L Richter , et al.
Cohort profile: Mandela's children: the 1990 Birth to Twenty study in South Africa. International Journal of Epidemiology
2007; 36: 504–511.
NG Jaff , et al.
Body composition in the study of women entering and in endocrine transition (SWEET): a perspective of African women who have a high prevalence of obesity and HIV infection. Metabolism
2015; 64: 1031–1041.
RA Beraldo , et al.
Proposed ratios and cutoffs for the assessment of lipodystrophy in HIV-seropositive individuals. European Journal of Clinical Nutrition
2015; 69: 274–278.
K Kahn , et al.
Validation and application of verbal autopsies in a rural area of South Africa. Tropical Medicine & International Health
2000; 5: 824–831.
WJ Gauderman , JM Morrison . QUANTO 1.1: a computer program for power and sample size calculations for genetic-epidemiology studies. 2006. (http://biostats.usc.edu/software). Accessed 19 September 2016.
D Gurdasani , et al.
The African Genome Variation Project shapes medical genetics in Africa. Nature
2015; 517: 327–332.
CM Schlebusch , H Soodyall . Extensive population structure in San, Khoe, and mixed ancestry populations from southern Africa revealed by 44 short 5-SNP haplotypes. Human Biology
2012; 84: 695–724.
J Lachance , et al.
Evolutionary history and adaptation from high-coverage whole-genome sequences of diverse African hunter-gatherers. Cell
2012; 150: 457–469.
A May , et al.
Genetic diversity in black South Africans from Soweto. BMC Genomics
2013; 14: 644.
ER Chimusa , et al.
A genomic portrait of haplotype diversity and signatures of selection in indigenous southern African populations. PLoS Genetics
2015; 11: e1005052.
M Ramsay . Africa: continent of genome contrasts with implications for biomedical research and health. FEBS Letters
2012; 586: 2813–2819.
M Ramsay , et al.
Ethical issues in genomic research on the African continent: experiences and challenges to ethics review committees. Human Genomics
2014; 8: 15.
J de Vries , et al.
The H3Africa policy framework: negotiating fairness in genomics. Trends in Genetics
2015; 31: 117–119.
F Tekola-Ayele , AA Adeyemo , CN Rotimi . Genetic epidemiology of type 2 diabetes and cardiovascular diseases in Africa. Progress in Cardiovascular Diseases
2013; 56: 251–260.
The H3Africa Consortium, et al.
Research capacity. Enabling the genomic revolution in Africa. Science
2014; 344: 1346–1348.
PA Harris , et al.
Research electronic data capture (REDCap) – a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics
2009; 42: 377–381.
E Peprah , et al.
Building a platform to enable NCD research to address population health in Africa: CVD working group discussion at the sixth H3Africa consortium meeting in Zambia. Global Heart
2016; 11: 165–170.
O Hamdy , S Porramatikul , E Al-Ozairi . Metabolic obesity: the paradox between visceral and subcutaneous fat. Current Diabetes Reviews
2006; 2: 367–373.
D Schleinitz , et al.
The genetics of fat distribution. Diabetologia
2014; 57: 1276–1286.
CS Fox , et al.
Genome-wide association for abdominal subcutaneous and visceral adipose reveals a novel locus for visceral fat in women. PLoS Genetics
2012; 8: e1002695.
C Gao , et al.
A comprehensive analysis of common and rare variants to identify adiposity loci in hispanic Americans: the IRAS Family Study (IRASFS). PLoS ONE
2015; 10: e0134649.
MT van der Merwe , et al.
Evidence for insulin resistance in black women from South Africa. International Journal of Obesity and Related Metabolic Disorders
2000; 24: 1340–1346.
JH Goedecke , et al.
Differential effects of abdominal adipose tissue distribution on insulin sensitivity in black and white South African women. Obesity (Silver Spring)
2009; 17: 1506–1512.
DG Dillon , et al.
Association of HIV and ART with cardiometabolic traits in sub-Saharan Africa: a systematic review and meta-analysis. International Journal of Epidemiology
2013; 42: 1754–1771.
O Sankoh , INDEPTH Network. CHESS: an innovative concept for a new generation of population surveillance. Lancet Global Health
2015; 3: e742.