In Africa, sickle cell disease phenotypes' genetic contributors remain understudied due to the dearth of databases that pair biospecimens with demographic and clinical details. The absence of biorepositories in these settings can exacerbate this issue. This article documents the physical verification process of biospecimens in the biorepository, connecting them to patient clinical and demographic data and aiding in the planning of future genomic and clinical research studies' experience from the Muhimbili Sickle Cell Program in Dar es Salaam, Tanzania. The biospecimen database was updated with the current biospecimen position following the physical verification and then mapping this information to its demographic and clinical data using demographic identifiers. The biorepository stored 74,079 biospecimens in three -80°C freezers, including 63,345 from 5159 patients enrolled in the cohort between 2004 and 2016. Patients were identified by a control (first visit), entry (when confirmed sickle cell homozygous), admission (when hospitalized), and follow-up numbers (subsequent visits). Of 63,345 biospecimens, follow-ups were 46,915 (74.06%), control 8067 (12.74%), admission 5517 (8.71%), and entry 2846 (4.49%). Of these registered patients, females were 2521 (48.87%) and males were 2638 (51.13%). The age distribution was 1-59 years, with those older than 18 years being 577 (11.18%) and children 4582 (88.82%) of registered patients. The notable findings during the process include a lack of automated biospecimen checks, laboratory information management system, and tubes with volume calibration; this caused the verification process to be tedious and manual. Biospecimens not linked to clinical and demographic data, date format inconsistencies, and lack of regular updating of a database on exhausted biospecimens and updates when biospecimens are moved between positions within freezers were other findings that were found. A well-organized biorepository plays a crucial role in answering future research questions. Enforcing standard operating procedures and quality control will ensure that laboratory users adhere to the best biospecimen management procedures.
Keywords: REDCap; biorepository; genomic; quality assurance; sickle cell disease.