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AFRICA

S45

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

not yet fully explored. The H3Africa Consortium, with funding

support from the National Institutes of Health (NIH) and the

Wellcome Trust, is currently executing 24 different disease-based

projects involving 50 000 to 75 000 participants across the African

continent.

11

This initiative will deeply enhance our understanding

of human genomic variation while unravelling the genomic

bases of several communicable and non-communicable diseases

on the continent, while facilitating genomic infrastructural

development and capacity building.

The H3Africa Consortium is revolutionising genomic research

in Africa and closing the huge genomics gap between Africa and

the developed world. The initiative will reduce health disparities

and enhance understanding of health issues for the benefit of

Africans and the human race through the discovery of new

genes and disease pathways with therapeutic and preventative

potentials.

The Stroke Investigative Research and Education Network

(SIREN) project is one of the H3Africa-funded projects. The

SIREN investigators propose to explore genomic factors in

stroke in 6 000 native West Africans (3 000 case–control pairs)

in comparison with 1 000 African Americans (80% of whom

are of West African ancestral origin) and 12 000 Americans

of European ancestry in the REGARDS study (comparison

among three tracks).

116,117

The wide genomic variation of African

populations offers a unique opportunity to identify novel

genomic variants with causal relationships to stroke across

different ethnic groups.

The SIREN project has three main streams: phenomics

(including community engagement), genomics, and

bio-informatics (Fig. 1). An ethnically diverse sample increases

the scope and generalisability of findings, because pan-ethnic

SIBS –

phenomics

SIBS –

genomics

SIBS –

Bio-informatics

Genomic

banking for

future analysis

Replication

phase

Discovery

phase

SIREN

Further analysis

with emerging

techniques

Accurate

phenotyping

of cases

Validate new

SNPs and CNVs

in REGARDS

black sub-cohort

WES

GWAS

Candidate gene

Pathway/Network

analysis

3 000 case-control pairs

Fig 1.

SIREN component projects.

Table 3. Genetic studies of stroke in Africa

First author (year) Study type Stroke phenotype Sample

Salient findings

Saidi

et al.

(2007)

97

Genotyping lschaemic stroke 135 cases,

118 controls

(Tunisian)

Altered plasminogen activator inhibitor 1 (PAI-1) and tissue-type plasminogen

activator (tPA) levels:

Significant

in PAI-1 and marked

in tPA levels correlated with 4G/5G, but not

with -844G/A, PAI-1 variants

4G/4G carriers had reduced risk of stroke compared with other genotypes

Saidi

et al.

(2007)

98

Genotyping lschaemic stroke 216 cases,

282 controls

(Tunisian)

ApoE

ε

3 lower (0.546 vs 0.736;

p

<

0.001) in stroke vs control

ApoE

ε

4 higher (0.370 vs 0.181;

p

<

0.001) in stroke vs control

Prevalence of Apo

ε

4-containing phenotypes higher in:

• ischaemic versus haemorrhagic (

p

<

0.001)

• small-vessel versus large-vessel stroke cases (

p

<

0.001)

• increased need for statin drugs (

p

=

0.040).

Mourad

et al.

(2008)

105

Genotyping Sickle cell

anaemia

20 SCA cases, 10

controls (Egyptian)

Presence or ACE D allele significantly predisposed to stroke in children with

sickle cell anaemia (SCA).

Saidi

et al.

(2008)

99

Genotyping lschaemic stroke 216 stroke patients,

318 controls

(Tunisian)

Human platelet alloantigen (HPA) – 1 a/b (

p

<

0.001) and HPA-5 a/b (

p

<

0.001)

alleles were associated with stroke-susceptible genotypes: 1a/b-2a/a-3a/b-4a/a-5a/b

protective genotypes: 1a/a-2a/a-3a/a-4a/a-5a/a; 1a/a-2a/a-3a/b-4a/a-5a/a; 1a/b

-2a/a-3a/a-4a/a-5a/a; 1a/b-2a/a-3a/b-4a/a-5a/a)

Saidi

et al.

(2008)

100

Genotyping lschaemic stroke 329 cases,

444 controls

Lower human platelet alloantigen, HPA-1a (

p

<

0.001) and higher HPA-1b (

p

<

0.001) allele frequencies were seen in cases than control subjects.

Homozygosity for HPA-1b (

p

<

0.001) alleles was more prevalent in stroke cases

than in controls.

Saidi

et al.

(2009)

101

Genotyping lschaemic stroke 228 cases,

323 controls

Frequency of APOE

ε

3 allele and Apo E3/E3 genotype lower (

p

<

0.001) in stroke

vs controls

Frequency of Apo

ε

4 allele and genotypes (E3/E4 and E4/E4) elevated (

p

<

0.001)

in stroke vs controls

Higher proportion of Apo

ε

4-carrying + ACE Del/Del positive cases seen in

young (

<

50 years) patients (

p

=

0.012) and associated with large-vessel stroke (

p

=

0.035).

Saidi

et al.

(2009)

102

Genotyping lschaemic stroke 329 cases,

444 controls

Angiotensinogen AGT 174T/235M/-6A, AGT 174T/235T/-6G. AGT 174T/235T/-

6A and AGT 174M/235T/-6A haplotypes were significantly associated with an

increased risk of stroke.

Saidi

et al.

(2010)

103

329 IS patients,

444 controls

Endothelial nitric oxide synthase (eNOS) gene polymorphisms (298Asp allele and

298Asp/4b/-786T and 298Asp/4b/-786C haplotypes, and in addition identified

298Asp/4a/-786T haplotypes) were significantly associated with ischaemic stroke.