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S4

AFRICA

CVJAFRICA • Volume 26, No 2, H3Africa Supplement, March/April 2015

mortality has been accomplished by reducing population levels

of risk factors.

8,9

A similarly dramatic decline in CVD mortality

resulting from population-level reductions of risk factors cannot

be demonstrated for sub-Saharan Africa for a variety of reasons.

First, reliable survey data on CVD risk factors and incidence

and mortality are virtually non-existent in sub-Saharan Africa

(SSA), with the exception of the Republic of South Africa,

Mauritius and the Seychelles.

10

A recent meta-analysis of

sample surveys however documented the substantial burden of

hypertension, and the all-too-obvious low rates of treatment and

control.

11

Likewise, as documented in three articles in this issue,

stroke imposes an enormous burden on the population of SSA.

Therefore, while the attempt is being made to drive biomedical

research forward into wholly unchartered territory through

the use of genomic technology, we must not lose sight of the

historical context of the evolution of CVD and the requirement

in the short run to use what we already know will spare patients

premature mortality, morbidity and misery.

For reasons too obvious to require elaboration, the

infrastructure of public health surveillance for CVD risk factors

and primary care systems that can provide long-term treatment

are missing in most of SSA. Establishing these essential

components of a healthcare system must therefore rank as the

most urgent priority.

How then can we situate the research agenda for genomics

and the H3 programme within the real-world context of SSA? As

noted above, this question weighed heavily on the minds of the

scientists and staff who designed H3Africa, and the White Paper

and other related documents provide insightful responses to this

question. Science is a broad social movement and consistent

improvement in the health and economic opportunity of any

country requires a vibrant scientific community.

H3Africa has clearly injected tremendous enthusiasm into the

biomedical community in Africa and has led to rapid intellectual

and technical advances in many areas of biomedicine. As

editorialists, we respond to the question ‘what role for genomics?’

not with skepticism but rather a plea for an appreciation of the

full breadth of scientific achievement now available to those

who work to reduce the burden of CVD, and a reminder that

we must never forget that curiosity and skepticism are co-equal

ingredients of the research process.

Progress into the translational sphere is already being made

and genomics has led to multiple breakthroughs in CVD

research in recent years. The discovery of genetic variants of the

gene coding for PCSK9 has led directly to a major new treatment

modality for hyperlipidaemia.

12

Notably, the mutation underlying

this discovery was found in an Afro-origin population, where it

occurs at a frequency of 1–2%, and underscores the importance

of genetic research in the highly diverse societies of SSA.

Identification of a variant in APOL1 has greatly improved

our understanding of the excess rates of renal failure in Afro-

origin populations,

13-15

again based on a mutation occurring

primarily in Africans. Genomic research is also generating

mounting evidence that levels of high-density lipoprotein

(HDL) cholesterol are not causally related to risk of CVD.

16

If

fully verified, a demonstration of a non-causal role for HDL

cholesterol would have a major impact on the approach of

physicians to the treatment of serum lipid levels and re-direct

an enormous research effort away from drugs intended to raise

levels of this lipoprotein.

We are on the threshold of the discoveries of the molecular

mechanisms underlying CVD that can improve the life of

patients everywhere, and, although only on the threshold, we can

confidently say that the door has been unlocked. For instance,

what if in this process we were able to realise a stroke-free

generation of individuals living with sickle cell disease?

17

What

if we were able to identify genetic or bio-molecular targets that

help transform the outcomes of CVD? Compelling research

questions such as these must be part of the strategic visioning in

biomedical research over the next decade.

17

Many opportunities for important discoveries of the

mechanism of disease in CVD will surely be found in Africa.

In the interim, however, we must endeavour to also implement

evidence-based interventions that are feasible, affordable and

appropriate to implement within the constraints of the SSA

setting for the prevention and control of cardiovascular diseases

in Africa. A priority among these interventions is those that

address hypertension, diabetes, unhealthy diet, physical inactivity

and tobacco use. Additionally, investments to improve the

systematic collection, analysis and reporting of survey data

on CVD incidence, prevalence, magnitude and trends in risk

exposure, disease burden and mortality will be necessary.

The current myriad of clinical and public health challenges

cannot await the promises of the genomic revolution. Active

dissemination and implementation of effective interventions

for prevention, treatment and control of CVD and other

non-communicable diseases must be prioritised. Herein, the

words of Dr Martin Luther King ring loud and true because

indeed ‘… we are confronted with the fierce urgency of now...

there is such a thing as being too late… this is a time for vigorous

and positive action.’

The views expressed in this article are those of the authors and do not neces-

sarily represent the views of the National Heart, Lung, and Blood Institute,

National Institutes of Health, or the US Department of Health and Human

Services.

References

1.

Gabriel SB, Schaffner SF, Nguyen H,

et al

. The structure of haplotype

blocks in the human genome.

Science

2002;

296

(5576): 2225–2229.

2.

McVean G, Spencer CC, Chaix R. Perspectives on human genetic varia-

tion from the HapMap Project.

PLoS Genet

2005;

1

(4): e54.

3.

Abecasis GR, Auton A, Brooks LD,

et al.

An integrated map of genetic

variation from 1,092 human genomes.

Nature

2012;

491

(7422): 56–65.

4.

Gurdasani D, Carstensen T, Tekola-Ayele F,

et al.

The African Genome

Variation Project shapes medical genetics in Africa.

Nature

2015;

517

(7534): 327–332.

5.

National Institutes of Health. NIH and Wellcome Trust announce

partnership to support population-based genome studies in Africa.

NIH

News

2010 June 22; Available at: URL:

http://www.nih.gov/news/health/ jun2010/nhgri-22.htm

.

6.

Owolabi MO, Mensah GA, Kimmel PL,

et al.

Understanding the rise

in cardiovascular diseases in Africa: harmonising H3Africa genomic

epidemiological teams and tools.

Cardiovasc J Afr

2014;

25

(3): 134–136.

7.

H3Africa Working Group. Harnessing genomic technologies

toward improving health in Africa: Opportunities and challenges.

Recommendations for the Human Heredity and Health in Africa

(H3Africa) Initiative to the Wellcome Trust and the National Institutes

of Health. National Human Genome Research Institute/National