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Phenotyping Stroke in Sub-Saharan Africa: Stroke Investigative Research and Education Network (SIREN) Phenomics Protocol
Author(s) -
Albert Akpalu,
Fred Stephen Sarfo,
Bruce Ovbiagele,
Rufus Akinyemi,
Mulugeta Gebregziabher,
Reginald Obiako,
Lukman Owolabi,
Kwamena W. Sagoe,
Carolyn Jenkins,
Oyedunni Arulogun,
Sheila Adamu,
Lambert Appiah,
Martin A. Adadey,
Francis Agyekum,
Joseph A. Quansah,
Yaw Boateng Mensah,
Abiodun M. Adeoye,
Arti Singh,
Aridegbe O. Tosin,
Osimhiarherhuo Ohifemen,
Abubabkar A. Sani,
Eric Tabi-Ajayi,
Ibinaiye O. Phillip,
Suleiman Yahaya Isah,
Nasir Abdulkadir Tabari,
Aliyu Mande,
Atinuke Agunloye,
Godwin Ogbole,
Joshua Akinyemi,
Onoja Akpa,
Ruth Laryea,
Ezinne Sylvia Melikam,
Dorcas Adinku,
Ezinne Uvere,
Nina-Serena Burkett,
Gregory Adekunle,
Salaam Kehinde,
Paschal Azuh,
Abdul Dambatta,
Naser A. Ishaq,
Donna K. Arnett,
Hemant K. Tiwari,
Dan Lackland,
Mayowa Owolabi
Publication year - 2015
Publication title -
neuroepidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.217
H-Index - 87
eISSN - 1423-0208
pISSN - 0251-5350
DOI - 10.1159/000437372
Subject(s) - medicine , stroke (engine) , biobank , biostatistics , etiology , cause of death , psychological intervention , epidemiology , gerontology , environmental health , intensive care medicine , pathology , bioinformatics , disease , nursing , mechanical engineering , engineering , biology
As the second leading cause of death and the leading cause of adult-onset disability, stroke is a major public health concern particularly pertinent in Sub-Saharan Africa (SSA), where nearly 80% of all global stroke mortalities occur, and stroke burden is projected to increase in the coming decades. However, traditional and emerging risk factors for stroke in SSA have not been well characterized, thus limiting efforts at curbing its devastating toll. The Stroke Investigative Research and Education Network (SIREN) project is aimed at comprehensively evaluating the key environmental and genomic risk factors for stroke (and its subtypes) in SSA while simultaneously building capacities in phenomics, biobanking, genomics, biostatistics, and bioinformatics for brain research.

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