{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T17:17:07Z","timestamp":1767892627580,"version":"3.49.0"},"reference-count":37,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Genet."],"abstract":"<jats:p>The declared aim of \u201cpersonalized\u201d, \u201cstratified\u201d or \u201cprecision\u201d approaches is to place individual variation, as ascertained through genomic and various other biomarkers, at the heart of Scientific Medicine using it to predict risk of disease or response to therapy and to tailor interventions and target therapies so as to maximize benefit and minimize risk for individual patients and efficiency for the health care system overall. It is often contrasted to current practices for which the scientific base is rooted in concepts of a \u201cuniversal biology\u201d and a \u201ctypical\u201d or \u201caverage patient\u201d and in which variation is ignored. Yet both approaches equally overlook the hierarchical nature of human variation and the critical importance of differences between populations. Impact of genetic heterogeneity has to be seen within that context to be meaningful and subsequently useful. In Africa such complexity is compounded by the high effective size of its populations, their diverse histories and the diversity of the environmental terrains they occupy, rendering analysis of gene environment interactions including the establishment of phenotype genotype correlations even more cumbersome. Henceforth \u201cIndividualized\u201d methods and approaches can only magnify the shortcomings of universal approaches if adopted without due regard to these complexities. In the current perspective we review examples of potential hurdles that may confront biomedical scientists and analysts in genomic medicine in clinical and public health genomics in Africa citing specific examples from the current SARS-COV2 pandemic and the challenges of establishing reference biobanks and pharmacogenomics reference values.<\/jats:p>","DOI":"10.3389\/fgene.2022.853969","type":"journal-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T10:41:34Z","timestamp":1649932894000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Individualized Medicine in Africa: Bringing the Practice Into the Realms of Population Heterogeneity"],"prefix":"10.3389","volume":"13","author":[{"given":"Ayman A.","family":"Hussein","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Reem","family":"Hamad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Melanie J.","family":"Newport","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muntaser E.","family":"Ibrahim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2018.00316","article-title":"EBV Associated Breast Cancer Whole Methylome Analysis Reveals Viral and Developmental Enriched Pathways","volume":"8","author":"Abdallah","year":"2018","journal-title":"Front. 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