“…Six types of approaches were observed when it came to data sourcing for analysis, including both dry lab and wet lab, which are briefly discussed here—(i) HLA typing for both patient and control group were carried out in wet lab, frequency of different alleles were compared between two groups for any significant differences with different outcomes ( n = 9) 2,14,17,18,25,27,29,31,42 ; (ii) the most frequent HLA alleles were retrieved from AFND for the concerned countries of respected studies, SARS‐CoV‐2 genome was downloaded from NCBI or national databases and peptide binding capacity of frequent alleles was then evaluated using different version of NetMHCpan web server, association of strongly or weakly bound peptides with COVID cases and deaths per million (from worldometer, WHO situation report) were analyzed further through frequency analysis of HLA alleles, as it is established that strongly bound peptide are better presented and weakly bound peptides are poorly presented by MHC to T‐cells and thus can play a major role in adequate immune responses against COVID ( n = 6) 12,13,19–22 ; (iii) HLA allele frequency data for both patient and control group were obtained from national organ donor registry and COVID data from worldometer or national COVID registry, compared allele frequency between healthy and COVID group for identifying any association with COVID susceptibility or among mild, moderate or severe groups of COVID patients to associate HLA with COVID severity and/or mortality ( n = 9) 6,11,28,33,36,38,41,43,44 ; (iv) HLA typing in wet lab was opted for the patient group but reference group were selected from the population with known HLA type through donor registry and after that association with COVID susceptibility, severity or mortality were analyzed ( n = 6) 5,24,26,32,34,45 ; (v) in this approach, metagenomics data from patients were used to predict HLA type using HLA prediction software (HLAminer, OptiType, Seq2HLA, etc.) with or without control group ( n = 4) 1,23,35,40 ; (vi) lastly, two studies observed human monocyte HLA‐DR (mHLA‐DR) expression among healthy people and different clinical stages of COVID patients to identify any impact of altered mHLA‐DR expression with COVID‐19 prognosis ( n = 2) 37,39 (Tables 1 and 2).…”