Loading…

Developing Clinical Phenotype Data Collection Standards for Research in Africa

Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regio...

Full description

Saved in:
Bibliographic Details
Published in:Global health, epidemiology and genomics epidemiology and genomics, 2023, Vol.2023, p.1-9
Main Authors: Zass, Lyndon, Johnston, Katherine, Benkahla, Alia, Chaouch, Melek, Kumuthini, Judit, Radouani, Fouzia, Mwita, Liberata Alexander, Alsayed, Nihad, Allie, Taryn, Sathan, Dassen, Masamu, Upendo, Seuneu Tchamga, Milaine Sergine, Tamuhla, Tsaone, Samtal, Chaimae, Nembaware, Victoria, Gill, Zoe, Ahmed, Samah, Hamdi, Yosr, Fadlelmola, Faisal, Tiffin, Nicki, Mulder, Nicola
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c449t-5d3b29957d241d445064e64f58c48e9fa6fc1f378364a6f499649643240577463
container_end_page 9
container_issue
container_start_page 1
container_title Global health, epidemiology and genomics
container_volume 2023
creator Zass, Lyndon
Johnston, Katherine
Benkahla, Alia
Chaouch, Melek
Kumuthini, Judit
Radouani, Fouzia
Mwita, Liberata Alexander
Alsayed, Nihad
Allie, Taryn
Sathan, Dassen
Masamu, Upendo
Seuneu Tchamga, Milaine Sergine
Tamuhla, Tsaone
Samtal, Chaimae
Nembaware, Victoria
Gill, Zoe
Ahmed, Samah
Hamdi, Yosr
Fadlelmola, Faisal
Tiffin, Nicki
Mulder, Nicola
description Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regions across the world. An increasing number of data harmonisation efforts are being undertaken by multistudy collaborations through either prospective standardised phenotype data collection or retrospective phenotype harmonisation. In this regard, the Phenotype Harmonisation Working Group (PHWG) of the Human Heredity and Health in Africa (H3Africa) consortium aimed to facilitate phenotype standardisation by both promoting the use of existing data collection standards (hosted by PhenX), adapting existing data collection standards for appropriate use in low- and middle-income regions such as Africa, and developing novel data collection standards where relevant gaps were identified. Ultimately, the PHWG produced 11 data collection kits, consisting of 82 protocols, 38 of which were existing protocols, 17 were adapted, and 27 were novel protocols. The data collection kits will facilitate phenotype standardisation and harmonisation not only in Africa but also across the larger research community. In addition, the PHWG aims to feed back adapted and novel protocols to existing reference platforms such as PhenX.
doi_str_mv 10.1155/2023/6693323
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_871f65ab4c9c4f8aac3762bb1f326fd6</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_871f65ab4c9c4f8aac3762bb1f326fd6</doaj_id><sourcerecordid>2870137295</sourcerecordid><originalsourceid>FETCH-LOGICAL-c449t-5d3b29957d241d445064e64f58c48e9fa6fc1f378364a6f499649643240577463</originalsourceid><addsrcrecordid>eNp9kV1LHDEUhgdRqKh3_oCAN4JdzcdJZnIlsvZDEFtaex0ymWQ3SzbZJrMW_32z7iK1F0LgHHKePBzyNs0pwZeEcH5FMWVXQkjGKNtrDinmMAGK8f4__YfmpJQFxph0lEmJD5uHW_tkQ1r5OEPT4KM3OqDvcxvT-Lyy6FaPGk1TCNaMPkX0c9Rx0HkoyKWMfthidTZz5CO6cbm-PW4OnA7FnuzqUfPr86fH6dfJ_bcvd9Ob-4kBkOOED6ynUvJ2oEAGAI4FWAGOdwY6K50WzhDH2o4JqD1IKaAeRgHztgXBjpq7rXdIeqFW2S91flZJe_VykfJM6Tx6E6zqWuIE1z0YacB1WhvWCtr31U-FGzau661rte6XdjA2jlmHN9K3k-jnapaeFMGcUqCkGs53hpx-r20Z1dIXY0PQ0aZ1UbRrMWEtlbyiZ_-hi7TOsf7VC9VhQtmG-rilTE6lZOtetyFYbdJWm7TVLu2KX2zxua_p_PHv038B3gGnHg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2870801235</pqid></control><display><type>article</type><title>Developing Clinical Phenotype Data Collection Standards for Research in Africa</title><source>PubMed Central (Open Access)</source><source>Wiley-Blackwell Open Access Collection</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Zass, Lyndon ; Johnston, Katherine ; Benkahla, Alia ; Chaouch, Melek ; Kumuthini, Judit ; Radouani, Fouzia ; Mwita, Liberata Alexander ; Alsayed, Nihad ; Allie, Taryn ; Sathan, Dassen ; Masamu, Upendo ; Seuneu Tchamga, Milaine Sergine ; Tamuhla, Tsaone ; Samtal, Chaimae ; Nembaware, Victoria ; Gill, Zoe ; Ahmed, Samah ; Hamdi, Yosr ; Fadlelmola, Faisal ; Tiffin, Nicki ; Mulder, Nicola</creator><contributor>Mboowa, Gerald ; Gerald Mboowa</contributor><creatorcontrib>Zass, Lyndon ; Johnston, Katherine ; Benkahla, Alia ; Chaouch, Melek ; Kumuthini, Judit ; Radouani, Fouzia ; Mwita, Liberata Alexander ; Alsayed, Nihad ; Allie, Taryn ; Sathan, Dassen ; Masamu, Upendo ; Seuneu Tchamga, Milaine Sergine ; Tamuhla, Tsaone ; Samtal, Chaimae ; Nembaware, Victoria ; Gill, Zoe ; Ahmed, Samah ; Hamdi, Yosr ; Fadlelmola, Faisal ; Tiffin, Nicki ; Mulder, Nicola ; Mboowa, Gerald ; Gerald Mboowa</creatorcontrib><description>Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regions across the world. An increasing number of data harmonisation efforts are being undertaken by multistudy collaborations through either prospective standardised phenotype data collection or retrospective phenotype harmonisation. In this regard, the Phenotype Harmonisation Working Group (PHWG) of the Human Heredity and Health in Africa (H3Africa) consortium aimed to facilitate phenotype standardisation by both promoting the use of existing data collection standards (hosted by PhenX), adapting existing data collection standards for appropriate use in low- and middle-income regions such as Africa, and developing novel data collection standards where relevant gaps were identified. Ultimately, the PHWG produced 11 data collection kits, consisting of 82 protocols, 38 of which were existing protocols, 17 were adapted, and 27 were novel protocols. The data collection kits will facilitate phenotype standardisation and harmonisation not only in Africa but also across the larger research community. In addition, the PHWG aims to feed back adapted and novel protocols to existing reference platforms such as PhenX.</description><identifier>ISSN: 2054-4200</identifier><identifier>EISSN: 2054-4200</identifier><identifier>DOI: 10.1155/2023/6693323</identifier><language>eng</language><publisher>London: Hindawi</publisher><subject>Bioinformatics ; Collaboration ; Consortia ; Data collection ; Data dictionaries ; Genomics ; Genotype &amp; phenotype ; Interoperability ; Knowledge discovery ; Medical research ; Missing data ; Ontology ; Phenotypes ; Software ; Working groups</subject><ispartof>Global health, epidemiology and genomics, 2023, Vol.2023, p.1-9</ispartof><rights>Copyright © 2023 Lyndon Zass et al.</rights><rights>Copyright © 2023 Lyndon Zass et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2023 Lyndon Zass et al. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c449t-5d3b29957d241d445064e64f58c48e9fa6fc1f378364a6f499649643240577463</cites><orcidid>0000-0001-8862-1706 ; 0000-0002-1682-0236 ; 0000-0002-2366-0154 ; 0000-0002-2815-1834 ; 0000-0002-5693-529X ; 0000-0001-8351-264X ; 0000-0002-8462-3277 ; 0000-0001-7966-4042 ; 0000-0002-8008-1917 ; 0000-0002-5960-2941 ; 0000-0002-6221-2661 ; 0000-0003-4905-0941 ; 0000-0002-5072-6761 ; 0000-0001-5083-2735 ; 0000-0003-4899-7463 ; 0000-0002-1782-7624 ; 0000-0001-5966-9153 ; 0000-0001-6688-1208 ; 0000-0001-9988-3250 ; 0000-0001-5868-4204 ; 0000-0002-0291-9964</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2870801235/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2870801235?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,4010,25734,27904,27905,27906,36993,36994,44571,53772,53774,74875</link.rule.ids></links><search><contributor>Mboowa, Gerald</contributor><contributor>Gerald Mboowa</contributor><creatorcontrib>Zass, Lyndon</creatorcontrib><creatorcontrib>Johnston, Katherine</creatorcontrib><creatorcontrib>Benkahla, Alia</creatorcontrib><creatorcontrib>Chaouch, Melek</creatorcontrib><creatorcontrib>Kumuthini, Judit</creatorcontrib><creatorcontrib>Radouani, Fouzia</creatorcontrib><creatorcontrib>Mwita, Liberata Alexander</creatorcontrib><creatorcontrib>Alsayed, Nihad</creatorcontrib><creatorcontrib>Allie, Taryn</creatorcontrib><creatorcontrib>Sathan, Dassen</creatorcontrib><creatorcontrib>Masamu, Upendo</creatorcontrib><creatorcontrib>Seuneu Tchamga, Milaine Sergine</creatorcontrib><creatorcontrib>Tamuhla, Tsaone</creatorcontrib><creatorcontrib>Samtal, Chaimae</creatorcontrib><creatorcontrib>Nembaware, Victoria</creatorcontrib><creatorcontrib>Gill, Zoe</creatorcontrib><creatorcontrib>Ahmed, Samah</creatorcontrib><creatorcontrib>Hamdi, Yosr</creatorcontrib><creatorcontrib>Fadlelmola, Faisal</creatorcontrib><creatorcontrib>Tiffin, Nicki</creatorcontrib><creatorcontrib>Mulder, Nicola</creatorcontrib><title>Developing Clinical Phenotype Data Collection Standards for Research in Africa</title><title>Global health, epidemiology and genomics</title><description>Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regions across the world. An increasing number of data harmonisation efforts are being undertaken by multistudy collaborations through either prospective standardised phenotype data collection or retrospective phenotype harmonisation. In this regard, the Phenotype Harmonisation Working Group (PHWG) of the Human Heredity and Health in Africa (H3Africa) consortium aimed to facilitate phenotype standardisation by both promoting the use of existing data collection standards (hosted by PhenX), adapting existing data collection standards for appropriate use in low- and middle-income regions such as Africa, and developing novel data collection standards where relevant gaps were identified. Ultimately, the PHWG produced 11 data collection kits, consisting of 82 protocols, 38 of which were existing protocols, 17 were adapted, and 27 were novel protocols. The data collection kits will facilitate phenotype standardisation and harmonisation not only in Africa but also across the larger research community. In addition, the PHWG aims to feed back adapted and novel protocols to existing reference platforms such as PhenX.</description><subject>Bioinformatics</subject><subject>Collaboration</subject><subject>Consortia</subject><subject>Data collection</subject><subject>Data dictionaries</subject><subject>Genomics</subject><subject>Genotype &amp; phenotype</subject><subject>Interoperability</subject><subject>Knowledge discovery</subject><subject>Medical research</subject><subject>Missing data</subject><subject>Ontology</subject><subject>Phenotypes</subject><subject>Software</subject><subject>Working groups</subject><issn>2054-4200</issn><issn>2054-4200</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kV1LHDEUhgdRqKh3_oCAN4JdzcdJZnIlsvZDEFtaex0ymWQ3SzbZJrMW_32z7iK1F0LgHHKePBzyNs0pwZeEcH5FMWVXQkjGKNtrDinmMAGK8f4__YfmpJQFxph0lEmJD5uHW_tkQ1r5OEPT4KM3OqDvcxvT-Lyy6FaPGk1TCNaMPkX0c9Rx0HkoyKWMfthidTZz5CO6cbm-PW4OnA7FnuzqUfPr86fH6dfJ_bcvd9Ob-4kBkOOED6ynUvJ2oEAGAI4FWAGOdwY6K50WzhDH2o4JqD1IKaAeRgHztgXBjpq7rXdIeqFW2S91flZJe_VykfJM6Tx6E6zqWuIE1z0YacB1WhvWCtr31U-FGzau661rte6XdjA2jlmHN9K3k-jnapaeFMGcUqCkGs53hpx-r20Z1dIXY0PQ0aZ1UbRrMWEtlbyiZ_-hi7TOsf7VC9VhQtmG-rilTE6lZOtetyFYbdJWm7TVLu2KX2zxua_p_PHv038B3gGnHg</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Zass, Lyndon</creator><creator>Johnston, Katherine</creator><creator>Benkahla, Alia</creator><creator>Chaouch, Melek</creator><creator>Kumuthini, Judit</creator><creator>Radouani, Fouzia</creator><creator>Mwita, Liberata Alexander</creator><creator>Alsayed, Nihad</creator><creator>Allie, Taryn</creator><creator>Sathan, Dassen</creator><creator>Masamu, Upendo</creator><creator>Seuneu Tchamga, Milaine Sergine</creator><creator>Tamuhla, Tsaone</creator><creator>Samtal, Chaimae</creator><creator>Nembaware, Victoria</creator><creator>Gill, Zoe</creator><creator>Ahmed, Samah</creator><creator>Hamdi, Yosr</creator><creator>Fadlelmola, Faisal</creator><creator>Tiffin, Nicki</creator><creator>Mulder, Nicola</creator><general>Hindawi</general><general>Hindawi Limited</general><general>Hindawi - Cambridge University Press</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8862-1706</orcidid><orcidid>https://orcid.org/0000-0002-1682-0236</orcidid><orcidid>https://orcid.org/0000-0002-2366-0154</orcidid><orcidid>https://orcid.org/0000-0002-2815-1834</orcidid><orcidid>https://orcid.org/0000-0002-5693-529X</orcidid><orcidid>https://orcid.org/0000-0001-8351-264X</orcidid><orcidid>https://orcid.org/0000-0002-8462-3277</orcidid><orcidid>https://orcid.org/0000-0001-7966-4042</orcidid><orcidid>https://orcid.org/0000-0002-8008-1917</orcidid><orcidid>https://orcid.org/0000-0002-5960-2941</orcidid><orcidid>https://orcid.org/0000-0002-6221-2661</orcidid><orcidid>https://orcid.org/0000-0003-4905-0941</orcidid><orcidid>https://orcid.org/0000-0002-5072-6761</orcidid><orcidid>https://orcid.org/0000-0001-5083-2735</orcidid><orcidid>https://orcid.org/0000-0003-4899-7463</orcidid><orcidid>https://orcid.org/0000-0002-1782-7624</orcidid><orcidid>https://orcid.org/0000-0001-5966-9153</orcidid><orcidid>https://orcid.org/0000-0001-6688-1208</orcidid><orcidid>https://orcid.org/0000-0001-9988-3250</orcidid><orcidid>https://orcid.org/0000-0001-5868-4204</orcidid><orcidid>https://orcid.org/0000-0002-0291-9964</orcidid></search><sort><creationdate>2023</creationdate><title>Developing Clinical Phenotype Data Collection Standards for Research in Africa</title><author>Zass, Lyndon ; Johnston, Katherine ; Benkahla, Alia ; Chaouch, Melek ; Kumuthini, Judit ; Radouani, Fouzia ; Mwita, Liberata Alexander ; Alsayed, Nihad ; Allie, Taryn ; Sathan, Dassen ; Masamu, Upendo ; Seuneu Tchamga, Milaine Sergine ; Tamuhla, Tsaone ; Samtal, Chaimae ; Nembaware, Victoria ; Gill, Zoe ; Ahmed, Samah ; Hamdi, Yosr ; Fadlelmola, Faisal ; Tiffin, Nicki ; Mulder, Nicola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-5d3b29957d241d445064e64f58c48e9fa6fc1f378364a6f499649643240577463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Bioinformatics</topic><topic>Collaboration</topic><topic>Consortia</topic><topic>Data collection</topic><topic>Data dictionaries</topic><topic>Genomics</topic><topic>Genotype &amp; phenotype</topic><topic>Interoperability</topic><topic>Knowledge discovery</topic><topic>Medical research</topic><topic>Missing data</topic><topic>Ontology</topic><topic>Phenotypes</topic><topic>Software</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zass, Lyndon</creatorcontrib><creatorcontrib>Johnston, Katherine</creatorcontrib><creatorcontrib>Benkahla, Alia</creatorcontrib><creatorcontrib>Chaouch, Melek</creatorcontrib><creatorcontrib>Kumuthini, Judit</creatorcontrib><creatorcontrib>Radouani, Fouzia</creatorcontrib><creatorcontrib>Mwita, Liberata Alexander</creatorcontrib><creatorcontrib>Alsayed, Nihad</creatorcontrib><creatorcontrib>Allie, Taryn</creatorcontrib><creatorcontrib>Sathan, Dassen</creatorcontrib><creatorcontrib>Masamu, Upendo</creatorcontrib><creatorcontrib>Seuneu Tchamga, Milaine Sergine</creatorcontrib><creatorcontrib>Tamuhla, Tsaone</creatorcontrib><creatorcontrib>Samtal, Chaimae</creatorcontrib><creatorcontrib>Nembaware, Victoria</creatorcontrib><creatorcontrib>Gill, Zoe</creatorcontrib><creatorcontrib>Ahmed, Samah</creatorcontrib><creatorcontrib>Hamdi, Yosr</creatorcontrib><creatorcontrib>Fadlelmola, Faisal</creatorcontrib><creatorcontrib>Tiffin, Nicki</creatorcontrib><creatorcontrib>Mulder, Nicola</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Global health, epidemiology and genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zass, Lyndon</au><au>Johnston, Katherine</au><au>Benkahla, Alia</au><au>Chaouch, Melek</au><au>Kumuthini, Judit</au><au>Radouani, Fouzia</au><au>Mwita, Liberata Alexander</au><au>Alsayed, Nihad</au><au>Allie, Taryn</au><au>Sathan, Dassen</au><au>Masamu, Upendo</au><au>Seuneu Tchamga, Milaine Sergine</au><au>Tamuhla, Tsaone</au><au>Samtal, Chaimae</au><au>Nembaware, Victoria</au><au>Gill, Zoe</au><au>Ahmed, Samah</au><au>Hamdi, Yosr</au><au>Fadlelmola, Faisal</au><au>Tiffin, Nicki</au><au>Mulder, Nicola</au><au>Mboowa, Gerald</au><au>Gerald Mboowa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Developing Clinical Phenotype Data Collection Standards for Research in Africa</atitle><jtitle>Global health, epidemiology and genomics</jtitle><date>2023</date><risdate>2023</risdate><volume>2023</volume><spage>1</spage><epage>9</epage><pages>1-9</pages><issn>2054-4200</issn><eissn>2054-4200</eissn><abstract>Modern biomedical research is characterised by its high-throughput and interdisciplinary nature. Multiproject and consortium-based collaborations requiring meaningful analysis of multiple heterogeneous phenotypic datasets have become the norm; however, such analysis remains a challenge in many regions across the world. An increasing number of data harmonisation efforts are being undertaken by multistudy collaborations through either prospective standardised phenotype data collection or retrospective phenotype harmonisation. In this regard, the Phenotype Harmonisation Working Group (PHWG) of the Human Heredity and Health in Africa (H3Africa) consortium aimed to facilitate phenotype standardisation by both promoting the use of existing data collection standards (hosted by PhenX), adapting existing data collection standards for appropriate use in low- and middle-income regions such as Africa, and developing novel data collection standards where relevant gaps were identified. Ultimately, the PHWG produced 11 data collection kits, consisting of 82 protocols, 38 of which were existing protocols, 17 were adapted, and 27 were novel protocols. The data collection kits will facilitate phenotype standardisation and harmonisation not only in Africa but also across the larger research community. In addition, the PHWG aims to feed back adapted and novel protocols to existing reference platforms such as PhenX.</abstract><cop>London</cop><pub>Hindawi</pub><doi>10.1155/2023/6693323</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8862-1706</orcidid><orcidid>https://orcid.org/0000-0002-1682-0236</orcidid><orcidid>https://orcid.org/0000-0002-2366-0154</orcidid><orcidid>https://orcid.org/0000-0002-2815-1834</orcidid><orcidid>https://orcid.org/0000-0002-5693-529X</orcidid><orcidid>https://orcid.org/0000-0001-8351-264X</orcidid><orcidid>https://orcid.org/0000-0002-8462-3277</orcidid><orcidid>https://orcid.org/0000-0001-7966-4042</orcidid><orcidid>https://orcid.org/0000-0002-8008-1917</orcidid><orcidid>https://orcid.org/0000-0002-5960-2941</orcidid><orcidid>https://orcid.org/0000-0002-6221-2661</orcidid><orcidid>https://orcid.org/0000-0003-4905-0941</orcidid><orcidid>https://orcid.org/0000-0002-5072-6761</orcidid><orcidid>https://orcid.org/0000-0001-5083-2735</orcidid><orcidid>https://orcid.org/0000-0003-4899-7463</orcidid><orcidid>https://orcid.org/0000-0002-1782-7624</orcidid><orcidid>https://orcid.org/0000-0001-5966-9153</orcidid><orcidid>https://orcid.org/0000-0001-6688-1208</orcidid><orcidid>https://orcid.org/0000-0001-9988-3250</orcidid><orcidid>https://orcid.org/0000-0001-5868-4204</orcidid><orcidid>https://orcid.org/0000-0002-0291-9964</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2054-4200
ispartof Global health, epidemiology and genomics, 2023, Vol.2023, p.1-9
issn 2054-4200
2054-4200
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_871f65ab4c9c4f8aac3762bb1f326fd6
source PubMed Central (Open Access); Wiley-Blackwell Open Access Collection; Publicly Available Content Database (Proquest) (PQ_SDU_P3)
subjects Bioinformatics
Collaboration
Consortia
Data collection
Data dictionaries
Genomics
Genotype & phenotype
Interoperability
Knowledge discovery
Medical research
Missing data
Ontology
Phenotypes
Software
Working groups
title Developing Clinical Phenotype Data Collection Standards for Research in Africa
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T11%3A04%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Developing%20Clinical%20Phenotype%20Data%20Collection%20Standards%20for%20Research%20in%20Africa&rft.jtitle=Global%20health,%20epidemiology%20and%20genomics&rft.au=Zass,%20Lyndon&rft.date=2023&rft.volume=2023&rft.spage=1&rft.epage=9&rft.pages=1-9&rft.issn=2054-4200&rft.eissn=2054-4200&rft_id=info:doi/10.1155/2023/6693323&rft_dat=%3Cproquest_doaj_%3E2870137295%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c449t-5d3b29957d241d445064e64f58c48e9fa6fc1f378364a6f499649643240577463%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2870801235&rft_id=info:pmid/&rfr_iscdi=true