Publicação:
Approaching Genetics Through the MHC Lens: Tools and Methods for HLA Research

dc.contributor.authorDouillard, Venceslas
dc.contributor.authorCastelli, Erick C. [UNESP]
dc.contributor.authorMack, Steven J.
dc.contributor.authorHollenbach, Jill A.
dc.contributor.authorGourraud, Pierre-Antoine
dc.contributor.authorVince, Nicolas
dc.contributor.authorLimou, Sophie
dc.contributor.institutionUniversité de Nantes
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionSan Francisco
dc.contributor.institutionEcole Centrale de Nantes
dc.date.accessioned2022-04-28T19:48:26Z
dc.date.available2022-04-28T19:48:26Z
dc.date.issued2021-12-02
dc.description.abstractThe current SARS-CoV-2 pandemic era launched an immediate and broad response of the research community with studies both about the virus and host genetics. Research in genetics investigated HLA association with COVID-19 based on in silico, population, and individual data. However, they were conducted with variable scale and success; convincing results were mostly obtained with broader whole-genome association studies. Here, we propose a technical review of HLA analysis, including basic HLA knowledge as well as available tools and advice. We notably describe recent algorithms to infer and call HLA genotypes from GWAS SNPs and NGS data, respectively, which opens the possibility to investigate HLA from large datasets without a specific initial focus on this region. We thus hope this overview will empower geneticists who were unfamiliar with HLA to run MHC-focused analyses following the footsteps of the Covid-19|HLA & Immunogenetics Consortium.en
dc.description.affiliationCentre de Recherche en Transplantation et Immunologie CHU Nantes Inserm Centre de Recherche en Transplantation et Immunologie Université de Nantes
dc.description.affiliationUnesp—Universidade Estadual Paulista
dc.description.affiliationDivision of Allergy Immunology and Bone Marrow Transplantation Department of Pediatrics School of Medicine University of California San Francisco
dc.description.affiliationDepartment of Neurology University of California San Francisco
dc.description.affiliationDepartment of Epidemiology and Biostatistics University of California San Francisco
dc.description.affiliationEcole Centrale de Nantes Department of Computer Sciences and Mathematics in Biology
dc.description.affiliationUnespUnesp—Universidade Estadual Paulista
dc.identifierhttp://dx.doi.org/10.3389/fgene.2021.774916
dc.identifier.citationFrontiers in Genetics, v. 12.
dc.identifier.doi10.3389/fgene.2021.774916
dc.identifier.issn1664-8021
dc.identifier.scopus2-s2.0-85121387880
dc.identifier.urihttp://hdl.handle.net/11449/223075
dc.language.isoeng
dc.relation.ispartofFrontiers in Genetics
dc.sourceScopus
dc.subjectassociation analysis
dc.subjectHLA
dc.subjectimmunogenetics
dc.subjectimputation
dc.subjectMajor Histocompatibility Complex (MHC)
dc.titleApproaching Genetics Through the MHC Lens: Tools and Methods for HLA Researchen
dc.typeResenha
dspace.entity.typePublication

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