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S44

AFRICA

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

GWAS has been employed to identify genetic loci for many

other cardiovascular diseases such as coronary heart disease,

diabetes and hypertension, and is just being applied to stroke.

The pitfalls of previous studies of genomic contributions

to stroke include poor phenotyping, underpowered studies,

confounders, winner’s curse, and non-validation in independent

populations.

88,90

For example, the Siblings With Ischemic Stroke

study (SWISS) did not demonstrate any significant genome-wide

association.

91

However, certain novel genetic variants have been

identified as risk factors in stroke populations, with some being

replicated in other populations.

The International Stroke Genetics Consortium and the

Wellcome Trust Case–Control Consortium published the

largest GWAS for ischaemic stroke carried out to date. This

study successfully demonstrated the importance of very large

multicentre study samples, identified a new associated genetic

variant and replicated findings of previous stroke GWAS. The

findings also demonstrated the value of clear phenotyping and

the fact that different stroke phenotypes may differ in their

genetic architectures. Table 2 summarises the findings of salient

recent GWAS studies in stroke, including a single study by Cole

et al

. in 2012, which utilised exome sequencing.

3,92-103

Genetic studies of stroke in Africa

To date, only a few stroke genetic studies (Table 3) have been

reported from North Africa and remarkably, none from sub-

Saharan Africa where the burden of stroke is disproportionately

heavy and the phenomics of stroke appears relatively different.

Saidi and colleagues working consistently with a growing

Tunisian stroke cohort have reported significant association

between ischaemic stroke and polymorphisms in several genes,

including plasminogen activator inhibitor,

APOE

ε

4, human

plasminogen activator, human platelet antigen, angiotensin

converting enzyme

Del/Del

genotype, angiotensinogen, endothe-

lial nitric oxide synthase and aldosterone synthase.

104-111

A single study from Egypt noted that the presence of the

ACE

D allele significantly predisposed to stroke in children with sickle

cell anaemia.

112

It is, however, significant to note that the people

of North Africa have a different ancestral origin (predominantly

Arabian and Berber) from sub-Saharan African populations.

9

Therefore, significant differences may be anticipated in the

genomic profile of stroke and subtypes in sub-Saharan Africans.

Problems and perspectives

Apart from the lack of community-based ideal stroke

epidemiological data sets and the challenge of accurate

phenotypic characterisation of cases in sub-Saharan Africa,

there are other inherent problems of genomic research ranging

from the negative impact of cultural and religious beliefs, issues

of autonomy of decision making and voluntary participation,

as well as poor understanding of the health impact of

genomics.

113-115

In a qualitative study assessing knowledge and

attitude towards personal genomics testing for complex diseases

among Nigerians, even though respondents felt the outcome

of genomic testing might aid healthful lifestyle modifications,

attitude was influenced by religion and culture, especially aspects

that might directly contradict beliefs and practices or lead to

actions contradicting religious beliefs.

115

All these aspects introduce critical ethical issues into the

framework of genomics research in Africa, which need to

be addressed in order to achieve success and popularise the

prospects of personalised genomic medicine. In addition, there

are also the challenges of adequate infrastructure for genomic

studies and analysis of genomic data, a paucity of appropriately

trained scientists and physicians who have the capacity to design,

implement and interpret such studies and lead translational

applications, and insufficient bio-informaticians with analysis

expertise and research managers. Unstable power supply and

political instability are other bottlenecks.

Opportunities through H3 Africa: SIREN chart-

ing new paths

Although African populations harbour the greatest human

genomic diversity, the potential of this for understanding human

evolutionary biology and disparities in health and disease are

Table 2. Recent GWAS andWES studies in stroke

First author

Study

type Phenotype

Sample size

Sample ancestry

Associated regions

Hata

et al.

(2011)

85

GWAS Ischaemic stroke

1 112 cases, 1 112 controls

Japanese

14q22 (PRKCH), 11q12 (AGTRL1)

Matarin

et al.

(2009)

89

GWAS Ischaemic stroke

249 cases, 268 controls

White

None

Gretasrdottri and Gudjarts-

son

et al.

(2008, 2009)

87,88

GWAS Ischaemic stroke

1 661 cases, 10 815 controls

Icelandic

4q25 (PITX2), 16q22.3 (ZFHX3)

Bilguvar

et al.

(2008)

89

GWAS lntracranial aneurysms

2 100 cases, 8 000 controls

Finish, Dutch,

Japanese

2q33 (PLCL1), 8q12 (SOX17), 9p21.3

(CDKN2A, CDK N2B, ANRIL)

lkram

et al.

(2009)

90

GWAS Ischaemic stroke

Cohort of 19 602, 1 164 events Caucasian

12p13.33 (NINJ2)

Yamada

et al.

(2009)

91

GWAS Ischaemic stroke

992 cases, 5 349 controls

Japanese

22q13 (CELSR1)

Zhang

et al.

(2012)

92

GWAS Ischaemic and haemor-

rhagic stroke

1 657 cases, 1 664 controls

Chinese

9p21.3 (ANRIL)

Matsushita

et al.

(2010)

93

GWAS Atherothrombotic stroke 2 775 cases, 2 839 controls

Japanese

ARHGEF 10

ISGC and WTCCC

(2012)

94

GWAS Large-vessel stroke

3 548 cases, 5 972 controls

European

7p21.1 (HDAC9); replicated previ-

ous finding for cardio-embolic stroke

near PITX2 and ZFHX3

Holliday

et al.

(2012)

95

GWAS Large-vessel stroke

1 162 cases, 1 244 controls

Australian

6p21.1

Cole

et al.

(2012)

3

WES Lacunar stroke

889 cases, 927 controls

(10 for exome sequencing)

African American

European American

4q21.1 (CSN3) **identified by exome

sequencing following previous GWAS

Zhou

et al.

(2014)

96

GWAS Lacunar strokes

systemic vasculopathy

9 subjects (exome sequencing) European American,

European

ADA

2 gene