Ancestral diversity is limited in published T cell receptor sequencing studies

Affiliations

¹ Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.
² Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
³ Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
⁴ Department of Pediatrics, Division of Pediatric Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
⁵ Institute for Neuroimmunology and Multiple Sclerosis, Universitätsklinikum Hamburg-Eppendorf, Hamburg, D-20246, Germany; Department of Psychiatry, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, D-12203, Germany; Medical Department, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, D-12203, Germany.
⁶ Human Evolutionary Genetics Unit, CNRS UMR2000, Institut Pasteur, Paris, 75015, France; Department of Human Genomics and Evolution, Collège de France, Paris, 75231, France.
⁷ Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000009, Chile.
⁸ Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Pirogov Russian National Research Medical University, Moscow, 117997, Russia.
⁹ Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, 0372, Norway.
¹⁰ Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: serghei.mangul@gmail.com.

PMID: 34644550
PMCID: PMC12023909
DOI: 10.1016/j.immuni.2021.09.015

Ancestral diversity is limited in published T cell receptor sequencing studies

Yu-Ning Huang et al. Immunity. 2021.

. 2021 Oct 12;54(10):2177-2179.

doi: 10.1016/j.immuni.2021.09.015.

Authors

Affiliations

¹ Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA.
² Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
³ Department of Translational Genomics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
⁴ Department of Pediatrics, Division of Pediatric Hematology/Oncology, University of California, Los Angeles, Los Angeles, CA 90095, USA.
⁵ Institute for Neuroimmunology and Multiple Sclerosis, Universitätsklinikum Hamburg-Eppendorf, Hamburg, D-20246, Germany; Department of Psychiatry, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, D-12203, Germany; Medical Department, Campus Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, D-12203, Germany.
⁶ Human Evolutionary Genetics Unit, CNRS UMR2000, Institut Pasteur, Paris, 75015, France; Department of Human Genomics and Evolution, Collège de France, Paris, 75231, France.
⁷ Departamento de Tecnología Médica, Facultad de Ciencias de la Salud, Universidad de Tarapacá, Arica, 1000009, Chile.
⁸ Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, 117997, Russia; Pirogov Russian National Research Medical University, Moscow, 117997, Russia.
⁹ Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, 0372, Norway.
¹⁰ Department of Clinical Pharmacy, School of Pharmacy, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: serghei.mangul@gmail.com.

PMID: 34644550
PMCID: PMC12023909
DOI: 10.1016/j.immuni.2021.09.015

No abstract available

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Conflict of interest statement

Declaration of interests V.G. declares advisory board positions in aiNET GmbH and Enpicom B.V. V.G. is a consultant for Roche/Genentech. S.M.G. declares honoraria from Mylan GmbH, Almirall S.A., and Celgene and research grants from Biogen outside the submitted work. He receives research funding from the Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Bundesministerium für Gesundheit, the National MS Society, and the European Commission.

References

1. Bradley P, and Thomas PG (2019). Using T Cell Receptor Repertoires to Understand the Principles of Adaptive Immune Recognition. Annu. Rev. Immunol. 37, 547–570. - PubMed
1. Greiff V, Yaari G, and Cowell LG (2020). Mining adaptive immune receptor repertoires for biological and clinical information using machine learning. Curr. Opin. Syst. Biol. 24, 109–119.
1. Jorde LB, and Bamshad MJ (2020). Genetic Ancestry Testing: What Is It and Why Is It Important? JAMA 323, 1089–1090. - PMC - PubMed
1. Morales J, Welter D, Bowler EH, Cerezo M, Harris LW, McMahon AC, Hall P, Junkins HA, Milano A, Hastings E, et al. (2018). A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog. Genome Biol. 19, 21. - PMC - PubMed
1. Nemat-Gorgani N, Guethlein LA, Henn BM, Norberg SJ, Chiaroni J, Sikora M, Quintana-Murci L, Mountain JL, Norman PJ, and Parham P (2019). Diversity of KIR, HLA Class I, and Their Interactions in Seven Populations of Sub-Saharan Africans. J. Immunol. 202, 2636–2647. - PMC - PubMed

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Ancestral diversity is limited in published T cell receptor sequencing studies

Affiliations

Ancestral diversity is limited in published T cell receptor sequencing studies

Authors

Affiliations

Conflict of interest statement

References

Publication types

MeSH terms

Substances

Grants and funding

LinkOut - more resources

Full Text Sources