The extent and impact of variation in ADME genes in sub-Saharan African populations
- da Rocha, Jorge E B, Othman, Houcemeddine, Botha, Gerrit, Cottino, Laura, Twesigomwe, David, Ahmed, Samah, Drögemöller, Britt I, Fadlelmola, Faisal M, Machanick, Philip, Mbiyavanga, Mamana, Panji, Sumir, Wright, Galen E B, Adebamowo, Clement, Matshaba, Mogomotsi, Ramsay, Michéle, Simo, Gustave, Simuunza, Martin C, Tiemessen, Caroline T, Baldwin, Sandra, Chiano, Mathias, Cox, Charles, Gross, Annette S, Thomas, Pamela, Gamo, Francisco-Javier, Scott Hazelhurst
- Authors: da Rocha, Jorge E B , Othman, Houcemeddine , Botha, Gerrit , Cottino, Laura , Twesigomwe, David , Ahmed, Samah , Drögemöller, Britt I , Fadlelmola, Faisal M , Machanick, Philip , Mbiyavanga, Mamana , Panji, Sumir , Wright, Galen E B , Adebamowo, Clement , Matshaba, Mogomotsi , Ramsay, Michéle , Simo, Gustave , Simuunza, Martin C , Tiemessen, Caroline T , Baldwin, Sandra , Chiano, Mathias , Cox, Charles , Gross, Annette S , Thomas, Pamela , Gamo, Francisco-Javier , Scott Hazelhurst
- Date: 2022
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/439202 , vital:73555 , https://homes.cs.ru.ac.za/philip/Courses/CSHonsArch/HonsArchNotes2022.pdf
- Description: Investigating variation in genes involved in the absorption, distribution, metabolism, and excretion (ADME) of drugs are key to characterizing pharmacogenomic (PGx) relationships. ADME gene variation is relatively well characterized in European and Asian populations, but data from African populations are under-studied—which has implications for drug safety and effective use in Africa.
- Full Text:
- Date Issued: 2022
- Authors: da Rocha, Jorge E B , Othman, Houcemeddine , Botha, Gerrit , Cottino, Laura , Twesigomwe, David , Ahmed, Samah , Drögemöller, Britt I , Fadlelmola, Faisal M , Machanick, Philip , Mbiyavanga, Mamana , Panji, Sumir , Wright, Galen E B , Adebamowo, Clement , Matshaba, Mogomotsi , Ramsay, Michéle , Simo, Gustave , Simuunza, Martin C , Tiemessen, Caroline T , Baldwin, Sandra , Chiano, Mathias , Cox, Charles , Gross, Annette S , Thomas, Pamela , Gamo, Francisco-Javier , Scott Hazelhurst
- Date: 2022
- Subjects: To be catalogued
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/439202 , vital:73555 , https://homes.cs.ru.ac.za/philip/Courses/CSHonsArch/HonsArchNotes2022.pdf
- Description: Investigating variation in genes involved in the absorption, distribution, metabolism, and excretion (ADME) of drugs are key to characterizing pharmacogenomic (PGx) relationships. ADME gene variation is relatively well characterized in European and Asian populations, but data from African populations are under-studied—which has implications for drug safety and effective use in Africa.
- Full Text:
- Date Issued: 2022
Development of Bioinformatics Infrastructure for Genomics Research:
- Mulder, Nicola J, Adebiyi, Ezekiel, Adebiyi, Marion, Adeyemi, Seun, Ahmed, Azza, Ahmed, Rehab, Akanle, Bola, Alibi, Mohamed, Armstrong, Don L, Aron, Shaun, Ashano, Efejiro, Baichoo, Shakuntala, Benkahla, Alia, Brown, David K, Chimusa, Emile Rugamika, Fadlelmola, Faisal M, Falola, Dare, Fatumo, Segun, Ghedira, Kais, Ghouila, Amel, Hazelhurst, Scott, Itunuoluwa Isewon, Segun Jung, Kassim, Samar Kamal, Kayondo, Jonathan K, Mbiyavanga, Mamana, Meintjes, Ayton, Mohammed, Somia, Mosaku, Abayomi, Moussa, Ahmed, Muhammd, Mustafa, Mungloo-Dilmohamud, Zahra, Nashiru, Oyekanmi, Odia, Trust, Okafor, Adaobi, Oladipo, Olaleye, Osamor, Victor, Oyelade, Jellili, Sadki, Khalid, Salifu, Samson Pandam, Soyemi, Jumoke, Panji, Sumir, Radouani, Fouzia, Souiai, Oussama, Tastan Bishop, Özlem
- Authors: Mulder, Nicola J , Adebiyi, Ezekiel , Adebiyi, Marion , Adeyemi, Seun , Ahmed, Azza , Ahmed, Rehab , Akanle, Bola , Alibi, Mohamed , Armstrong, Don L , Aron, Shaun , Ashano, Efejiro , Baichoo, Shakuntala , Benkahla, Alia , Brown, David K , Chimusa, Emile Rugamika , Fadlelmola, Faisal M , Falola, Dare , Fatumo, Segun , Ghedira, Kais , Ghouila, Amel , Hazelhurst, Scott , Itunuoluwa Isewon , Segun Jung , Kassim, Samar Kamal , Kayondo, Jonathan K , Mbiyavanga, Mamana , Meintjes, Ayton , Mohammed, Somia , Mosaku, Abayomi , Moussa, Ahmed , Muhammd, Mustafa , Mungloo-Dilmohamud, Zahra , Nashiru, Oyekanmi , Odia, Trust , Okafor, Adaobi , Oladipo, Olaleye , Osamor, Victor , Oyelade, Jellili , Sadki, Khalid , Salifu, Samson Pandam , Soyemi, Jumoke , Panji, Sumir , Radouani, Fouzia , Souiai, Oussama , Tastan Bishop, Özlem
- Date: 2017
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/148239 , vital:38722 , DOI: 10.1016/j.gheart.2017.01.005
- Description: Although pockets of bioinformatics excellence have developed in Africa, generally, large-scale genomic data analysis has been limited by the availability of expertise and infrastructure. H3ABioNet, a pan-African bioinformatics network, was established to build capacity specifically to enable H3Africa (Human Heredity and Health in Africa) researchers to analyze their data in Africa. Since the inception of the H3Africa initiative, H3ABioNet's role has evolved in response to changing needs from the consortium and the African bioinformatics community.
- Full Text:
- Date Issued: 2017
- Authors: Mulder, Nicola J , Adebiyi, Ezekiel , Adebiyi, Marion , Adeyemi, Seun , Ahmed, Azza , Ahmed, Rehab , Akanle, Bola , Alibi, Mohamed , Armstrong, Don L , Aron, Shaun , Ashano, Efejiro , Baichoo, Shakuntala , Benkahla, Alia , Brown, David K , Chimusa, Emile Rugamika , Fadlelmola, Faisal M , Falola, Dare , Fatumo, Segun , Ghedira, Kais , Ghouila, Amel , Hazelhurst, Scott , Itunuoluwa Isewon , Segun Jung , Kassim, Samar Kamal , Kayondo, Jonathan K , Mbiyavanga, Mamana , Meintjes, Ayton , Mohammed, Somia , Mosaku, Abayomi , Moussa, Ahmed , Muhammd, Mustafa , Mungloo-Dilmohamud, Zahra , Nashiru, Oyekanmi , Odia, Trust , Okafor, Adaobi , Oladipo, Olaleye , Osamor, Victor , Oyelade, Jellili , Sadki, Khalid , Salifu, Samson Pandam , Soyemi, Jumoke , Panji, Sumir , Radouani, Fouzia , Souiai, Oussama , Tastan Bishop, Özlem
- Date: 2017
- Language: English
- Type: text , article
- Identifier: http://hdl.handle.net/10962/148239 , vital:38722 , DOI: 10.1016/j.gheart.2017.01.005
- Description: Although pockets of bioinformatics excellence have developed in Africa, generally, large-scale genomic data analysis has been limited by the availability of expertise and infrastructure. H3ABioNet, a pan-African bioinformatics network, was established to build capacity specifically to enable H3Africa (Human Heredity and Health in Africa) researchers to analyze their data in Africa. Since the inception of the H3Africa initiative, H3ABioNet's role has evolved in response to changing needs from the consortium and the African bioinformatics community.
- Full Text:
- Date Issued: 2017
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