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Building local capacity for genomics research in Africa: recommendations from analysis of publications in Sub-Saharan Africa from 2004 to 2013

Identifieur interne : 000978 ( Ncbi/Merge ); précédent : 000977; suivant : 000979

Building local capacity for genomics research in Africa: recommendations from analysis of publications in Sub-Saharan Africa from 2004 to 2013

Auteurs : Babatunde O. Adedokun [Nigeria] ; Christopher O. Olopade [États-Unis] ; Olufunmilayo I. Olopade [États-Unis]

Source :

RBID : PMC:4867048

Abstract

Background

The poor genomics research capacity of Sub-Saharan Africa (SSA) could prevent maximal benefits from the applications of genomics in the practice of medicine and research. The objective of this study is to examine the author affiliations of genomic epidemiology publications in order to make recommendations for building local genomics research capacity in SSA.

Design

SSA genomic epidemiology articles published between 2004 and 2013 were extracted from the Human Genome Epidemiology (HuGE) database. Data on authorship details, country of population studied, and phenotype or disease were extracted. Factors associated with the first author, who has an SSA institution affiliation (AIAFA), were determined using a Chi-square test and multiple logistic regression analysis.

Results

The most commonly studied population was South Africa, accounting for 31.1%, followed by Ghana (10.6%) and Kenya (7.5%). About one-tenth of the papers were related to non-communicable diseases (NCDs) such as cancer (6.1%) and cardiovascular diseases (CVDs) (4.3%). Fewer than half of the first authors (46.9%) were affiliated with an African institution. Among the 238 articles with an African first author, over three-quarters (79.8%) belonged to a university or medical school, 16.8% were affiliated with a research institute, and 3.4% had affiliations with other institutions.

Conclusions

Significant disparities currently exist among SSA countries in genomics research capacity. South Africa has the highest genomics research output, which is reflected in the investments made in its genomics and biotechnology sector. These findings underscore the need to focus on developing local capacity, especially among those affiliated with SSA universities where there are more opportunities for teaching and research.


Url:
DOI: 10.3402/gha.v9.31026
PubMed: 27178644
PubMed Central: 4867048

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PMC:4867048

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<title>Background</title>
<p>The poor genomics research capacity of Sub-Saharan Africa (SSA) could prevent maximal benefits from the applications of genomics in the practice of medicine and research. The objective of this study is to examine the author affiliations of genomic epidemiology publications in order to make recommendations for building local genomics research capacity in SSA.</p>
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<p>SSA genomic epidemiology articles published between 2004 and 2013 were extracted from the Human Genome Epidemiology (HuGE) database. Data on authorship details, country of population studied, and phenotype or disease were extracted. Factors associated with the first author, who has an SSA institution affiliation (AIAFA), were determined using a Chi-square test and multiple logistic regression analysis.</p>
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<p>The most commonly studied population was South Africa, accounting for 31.1%, followed by Ghana (10.6%) and Kenya (7.5%). About one-tenth of the papers were related to non-communicable diseases (NCDs) such as cancer (6.1%) and cardiovascular diseases (CVDs) (4.3%). Fewer than half of the first authors (46.9%) were affiliated with an African institution. Among the 238 articles with an African first author, over three-quarters (79.8%) belonged to a university or medical school, 16.8% were affiliated with a research institute, and 3.4% had affiliations with other institutions.</p>
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</author>
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<name sortKey="Mbondji, Pe" uniqKey="Mbondji P">PE Mbondji</name>
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<name sortKey="Sanou, I" uniqKey="Sanou I">I Sanou</name>
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<name sortKey="Kouvividila, W" uniqKey="Kouvividila W">W Kouvividila</name>
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<name sortKey="Sewankambo, N" uniqKey="Sewankambo N">N Sewankambo</name>
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<name sortKey="Chen, C" uniqKey="Chen C">C Chen</name>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Glob Health Action</journal-id>
<journal-id journal-id-type="iso-abbrev">Glob Health Action</journal-id>
<journal-id journal-id-type="publisher-id">GHA</journal-id>
<journal-title-group>
<journal-title>Global Health Action</journal-title>
</journal-title-group>
<issn pub-type="ppub">1654-9716</issn>
<issn pub-type="epub">1654-9880</issn>
<publisher>
<publisher-name>Co-Action Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">27178644</article-id>
<article-id pub-id-type="pmc">4867048</article-id>
<article-id pub-id-type="publisher-id">31026</article-id>
<article-id pub-id-type="doi">10.3402/gha.v9.31026</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Building local capacity for genomics research in Africa: recommendations from analysis of publications in Sub-Saharan Africa from 2004 to 2013</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Adedokun</surname>
<given-names>Babatunde O.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Olopade</surname>
<given-names>Christopher O.</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Olopade</surname>
<given-names>Olufunmilayo I.</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
</contrib-group>
<aff id="AF0001">
<label>1</label>
Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria</aff>
<aff id="AF0002">
<label>2</label>
Centre for Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA</aff>
<aff id="AF0003">
<label>3</label>
Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, IL, USA</aff>
<author-notes>
<corresp id="cor1">
<label>*</label>
Correspondence to: Babatunde O. Adedokun, Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria, Email:
<email xlink:href="tukankar@yahoo.co.uk">tukankar@yahoo.co.uk</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>5</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>9</volume>
<elocation-id content-type="doi">10.3402/gha.v9.31026</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>1</month>
<year>2016</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>3</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>3</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>© 2016 Babatunde O. Adedokun et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>The poor genomics research capacity of Sub-Saharan Africa (SSA) could prevent maximal benefits from the applications of genomics in the practice of medicine and research. The objective of this study is to examine the author affiliations of genomic epidemiology publications in order to make recommendations for building local genomics research capacity in SSA.</p>
</sec>
<sec id="st2">
<title>Design</title>
<p>SSA genomic epidemiology articles published between 2004 and 2013 were extracted from the Human Genome Epidemiology (HuGE) database. Data on authorship details, country of population studied, and phenotype or disease were extracted. Factors associated with the first author, who has an SSA institution affiliation (AIAFA), were determined using a Chi-square test and multiple logistic regression analysis.</p>
</sec>
<sec id="st3">
<title>Results</title>
<p>The most commonly studied population was South Africa, accounting for 31.1%, followed by Ghana (10.6%) and Kenya (7.5%). About one-tenth of the papers were related to non-communicable diseases (NCDs) such as cancer (6.1%) and cardiovascular diseases (CVDs) (4.3%). Fewer than half of the first authors (46.9%) were affiliated with an African institution. Among the 238 articles with an African first author, over three-quarters (79.8%) belonged to a university or medical school, 16.8% were affiliated with a research institute, and 3.4% had affiliations with other institutions.</p>
</sec>
<sec id="st4">
<title>Conclusions</title>
<p>Significant disparities currently exist among SSA countries in genomics research capacity. South Africa has the highest genomics research output, which is reflected in the investments made in its genomics and biotechnology sector. These findings underscore the need to focus on developing local capacity, especially among those affiliated with SSA universities where there are more opportunities for teaching and research.</p>
</sec>
</abstract>
<kwd-group>
<kwd>capacity building</kwd>
<kwd>genomics</kwd>
<kwd>health research</kwd>
<kwd>sub-Saharan Africa</kwd>
<kwd>bibliometric analysis</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Nigeria</li>
<li>États-Unis</li>
</country>
<region>
<li>Illinois</li>
<li>État d'Oyo</li>
</region>
<settlement>
<li>Ibadan</li>
</settlement>
<orgName>
<li>Université d'Ibadan</li>
</orgName>
</list>
<tree>
<country name="Nigeria">
<region name="État d'Oyo">
<name sortKey="Adedokun, Babatunde O" sort="Adedokun, Babatunde O" uniqKey="Adedokun B" first="Babatunde O." last="Adedokun">Babatunde O. Adedokun</name>
</region>
</country>
<country name="États-Unis">
<region name="Illinois">
<name sortKey="Olopade, Christopher O" sort="Olopade, Christopher O" uniqKey="Olopade C" first="Christopher O." last="Olopade">Christopher O. Olopade</name>
</region>
<name sortKey="Olopade, Olufunmilayo I" sort="Olopade, Olufunmilayo I" uniqKey="Olopade O" first="Olufunmilayo I." last="Olopade">Olufunmilayo I. Olopade</name>
</country>
</tree>
</affiliations>
</record>

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