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High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity

The KIR (killer-cell immunoglobulin-like receptor) region is characterized by structural variation and high sequence similarity among genes, imposing technical difficulties for analysis. We undertook the most comprehensive study to date of KIR genetic diversity in a large population sample, applying...

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Autores principales: Amorim, Leonardo M., Augusto, Danillo G., Nemat-Gorgani, Neda, Montero-Martin, Gonzalo, Marin, Wesley M., Shams, Hengameh, Dandekar, Ravi, Caillier, Stacy, Parham, Peter, Fernández-Viña, Marcelo A., Oksenberg, Jorge R., Norman, Paul J., Hollenbach, Jill A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137979/
https://www.ncbi.nlm.nih.gov/pubmed/34025673
http://dx.doi.org/10.3389/fimmu.2021.674778
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author Amorim, Leonardo M.
Augusto, Danillo G.
Nemat-Gorgani, Neda
Montero-Martin, Gonzalo
Marin, Wesley M.
Shams, Hengameh
Dandekar, Ravi
Caillier, Stacy
Parham, Peter
Fernández-Viña, Marcelo A.
Oksenberg, Jorge R.
Norman, Paul J.
Hollenbach, Jill A.
author_facet Amorim, Leonardo M.
Augusto, Danillo G.
Nemat-Gorgani, Neda
Montero-Martin, Gonzalo
Marin, Wesley M.
Shams, Hengameh
Dandekar, Ravi
Caillier, Stacy
Parham, Peter
Fernández-Viña, Marcelo A.
Oksenberg, Jorge R.
Norman, Paul J.
Hollenbach, Jill A.
author_sort Amorim, Leonardo M.
collection PubMed
description The KIR (killer-cell immunoglobulin-like receptor) region is characterized by structural variation and high sequence similarity among genes, imposing technical difficulties for analysis. We undertook the most comprehensive study to date of KIR genetic diversity in a large population sample, applying next-generation sequencing in 2,130 United States European-descendant individuals. Data were analyzed using our custom bioinformatics pipeline specifically designed to address technical obstacles in determining KIR genotypes. Precise gene copy number determination allowed us to identify a set of uncommon gene-content KIR haplotypes accounting for 5.2% of structural variation. In this cohort, KIR2DL4 is the framework gene that most varies in copy number (6.5% of all individuals). We identified phased high-resolution alleles in large multi-locus insertions and also likely founder haplotypes from which they were deleted. Additionally, we observed 250 alleles at 5-digit resolution, of which 90 have frequencies ≥1%. We found sequence patterns that were consistent with the presence of novel alleles in 398 (18.7%) individuals and contextualized multiple orphan dbSNPs within the KIR complex. We also identified a novel KIR2DL1 variant, Pro151Arg, and demonstrated by molecular dynamics that this substitution is predicted to affect interaction with HLA-C. No previous studies have fully explored the full range of structural and sequence variation of KIR as we present here. We demonstrate that pairing high-throughput sequencing with state-of-art computational tools in a large cohort permits exploration of all aspects of KIR variation including determination of population-level haplotype diversity, improving understanding of the KIR system, and providing an important reference for future studies.
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spelling pubmed-81379792021-05-22 High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity Amorim, Leonardo M. Augusto, Danillo G. Nemat-Gorgani, Neda Montero-Martin, Gonzalo Marin, Wesley M. Shams, Hengameh Dandekar, Ravi Caillier, Stacy Parham, Peter Fernández-Viña, Marcelo A. Oksenberg, Jorge R. Norman, Paul J. Hollenbach, Jill A. Front Immunol Immunology The KIR (killer-cell immunoglobulin-like receptor) region is characterized by structural variation and high sequence similarity among genes, imposing technical difficulties for analysis. We undertook the most comprehensive study to date of KIR genetic diversity in a large population sample, applying next-generation sequencing in 2,130 United States European-descendant individuals. Data were analyzed using our custom bioinformatics pipeline specifically designed to address technical obstacles in determining KIR genotypes. Precise gene copy number determination allowed us to identify a set of uncommon gene-content KIR haplotypes accounting for 5.2% of structural variation. In this cohort, KIR2DL4 is the framework gene that most varies in copy number (6.5% of all individuals). We identified phased high-resolution alleles in large multi-locus insertions and also likely founder haplotypes from which they were deleted. Additionally, we observed 250 alleles at 5-digit resolution, of which 90 have frequencies ≥1%. We found sequence patterns that were consistent with the presence of novel alleles in 398 (18.7%) individuals and contextualized multiple orphan dbSNPs within the KIR complex. We also identified a novel KIR2DL1 variant, Pro151Arg, and demonstrated by molecular dynamics that this substitution is predicted to affect interaction with HLA-C. No previous studies have fully explored the full range of structural and sequence variation of KIR as we present here. We demonstrate that pairing high-throughput sequencing with state-of-art computational tools in a large cohort permits exploration of all aspects of KIR variation including determination of population-level haplotype diversity, improving understanding of the KIR system, and providing an important reference for future studies. Frontiers Media S.A. 2021-05-07 /pmc/articles/PMC8137979/ /pubmed/34025673 http://dx.doi.org/10.3389/fimmu.2021.674778 Text en Copyright © 2021 Amorim, Augusto, Nemat-Gorgani, Montero-Martin, Marin, Shams, Dandekar, Caillier, Parham, Fernández-Viña, Oksenberg, Norman and Hollenbach https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Amorim, Leonardo M.
Augusto, Danillo G.
Nemat-Gorgani, Neda
Montero-Martin, Gonzalo
Marin, Wesley M.
Shams, Hengameh
Dandekar, Ravi
Caillier, Stacy
Parham, Peter
Fernández-Viña, Marcelo A.
Oksenberg, Jorge R.
Norman, Paul J.
Hollenbach, Jill A.
High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity
title High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity
title_full High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity
title_fullStr High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity
title_full_unstemmed High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity
title_short High-Resolution Characterization of KIR Genes in a Large North American Cohort Reveals Novel Details of Structural and Sequence Diversity
title_sort high-resolution characterization of kir genes in a large north american cohort reveals novel details of structural and sequence diversity
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137979/
https://www.ncbi.nlm.nih.gov/pubmed/34025673
http://dx.doi.org/10.3389/fimmu.2021.674778
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