PMID- 34136572
OWN - NLM
STAT- MEDLINE
DCOM- 20210624
LR  - 20231111
IS  - 2314-6141 (Electronic)
IS  - 2314-6133 (Print)
VI  - 2021
DP  - 2021
TI  - Bioinformatic HLA Studies in the Context of SARS-CoV-2 Pandemic and Review on 
      Association of HLA Alleles with Preexisting Medical Conditions.
PG  - 6693909
LID - 10.1155/2021/6693909 [doi]
LID - 6693909
AB  - After the announcement of a new coronavirus in China in December 2019, which was 
      then called SARS-CoV-2, this virus changed to a global concern and it was then 
      declared as a pandemic by WHO. Human leukocyte antigen (HLA) alleles, which are 
      one of the most polymorphic genes, play a pivotal role in both resistance and 
      vulnerability of the body against viruses and other infections as well as chronic 
      diseases. The association between HLA alleles and preexisting medical conditions 
      such as cardiovascular diseases and diabetes mellitus is reported in various 
      studies. In this review, we focused on the bioinformatic HLA studies to summarize 
      the HLA alleles which responded to SARS-CoV-2 peptides and have been used to 
      design vaccines. We also reviewed HLA alleles that are associated with 
      comorbidities and might be related to the high mortality rate among COVID-19 
      patients. Since both genes and patients' medical conditions play a key role in 
      both severity of the disease and the mortality rate in COVID-19 patients, a 
      better understanding of the connection between HLA alleles and SARS-CoV-2 can 
      provide a wider perspective on the behavior of the virus. Such understanding can 
      help scientists, especially in terms of protecting healthcare workers and 
      designing effective vaccines.
CI  - Copyright (c) 2021 Mina Mobini Kesheh et al.
FAU - Mobini Kesheh, Mina
AU  - Mobini Kesheh M
AUID- ORCID: 0000-0003-0529-9163
AD  - Department of Virology, School of Medicine, Iran University of Medical Sciences, 
      Tehran, Iran.
FAU - Shavandi, Sara
AU  - Shavandi S
AUID- ORCID: 0000-0002-3712-562X
AD  - Department of Industrial and Environmental Biotechnology, National Institute of 
      Genetic Engineering and Biotechnology, Tehran, Iran.
FAU - Hosseini, Parastoo
AU  - Hosseini P
AUID- ORCID: 0000-0003-2788-5796
AD  - Department of Virology, School of Public Health, Tehran University of Medical 
      Sciences, Tehran, Iran.
FAU - Kakavand-Ghalehnoei, Rezvan
AU  - Kakavand-Ghalehnoei R
AUID- ORCID: 0000-0001-8918-2506
AD  - Department of Virology, Faculty of Medical Sciences, Tarbiat Modares University, 
      Tehran, Iran.
FAU - Keyvani, Hossein
AU  - Keyvani H
AUID- ORCID: 0000-0003-2132-5982
AD  - Department of Virology, School of Medicine, Iran University of Medical Sciences, 
      Tehran, Iran.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20210528
PL  - United States
TA  - Biomed Res Int
JT  - BioMed research international
JID - 101600173
RN  - 0 (COVID-19 Vaccines)
RN  - 0 (HLA Antigens)
SB  - IM
MH  - Alleles
MH  - *COVID-19/epidemiology/genetics/virology
MH  - *COVID-19 Vaccines
MH  - Comorbidity
MH  - Computational Biology
MH  - *HLA Antigens
MH  - Humans
MH  - Pandemics
MH  - *SARS-CoV-2
PMC - PMC8162251
COIS- The authors declare that they have no conflicts of interest.
EDAT- 2021/06/18 06:00
MHDA- 2021/06/25 06:00
PMCR- 2021/05/28
CRDT- 2021/06/17 06:49
PHST- 2020/11/16 00:00 [received]
PHST- 2021/02/10 00:00 [revised]
PHST- 2021/05/06 00:00 [accepted]
PHST- 2021/06/17 06:49 [entrez]
PHST- 2021/06/18 06:00 [pubmed]
PHST- 2021/06/25 06:00 [medline]
PHST- 2021/05/28 00:00 [pmc-release]
AID - 10.1155/2021/6693909 [doi]
PST - epublish
SO  - Biomed Res Int. 2021 May 28;2021:6693909. doi: 10.1155/2021/6693909. eCollection 
      2021.