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Augusto DG, Murdolo LD, Chatzileontiadou DSM, Sabatino JJ, Yusufali T, Peyser ND, Butcher X, Kizer K, Guthrie K, Murray VW, Pae V, Sarvadhavabhatla S, Beltran F, Gill GS, Lynch KL, Yun C, Maguire CT, Peluso MJ, Hoh R, Henrich TJ, Deeks SG, Davidson M, Lu S, Goldberg SA, Kelly JD, Martin JN, Vierra-Green CA, Spellman SR, Langton DJ, Dewar-Oldis MJ, Smith C, Barnard PJ, Lee S, Marcus GM, Olgin JE, Pletcher MJ, Maiers M, Gras S, Hollenbach JA. A common allele of HLA is associated with asymptomatic SARS-CoV-2 infection. Nature 2023; 620:128-136. [PMID: 37468623 PMCID: PMC10396966 DOI: 10.1038/s41586-023-06331-x] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 06/15/2023] [Indexed: 07/21/2023]
Abstract
Studies have demonstrated that at least 20% of individuals infected with SARS-CoV-2 remain asymptomatic1-4. Although most global efforts have focused on severe illness in COVID-19, examining asymptomatic infection provides a unique opportunity to consider early immunological features that promote rapid viral clearance. Here, postulating that variation in the human leukocyte antigen (HLA) loci may underly processes mediating asymptomatic infection, we enrolled 29,947 individuals, for whom high-resolution HLA genotyping data were available, in a smartphone-based study designed to track COVID-19 symptoms and outcomes. Our discovery cohort (n = 1,428) comprised unvaccinated individuals who reported a positive test result for SARS-CoV-2. We tested for association of five HLA loci with disease course and identified a strong association between HLA-B*15:01 and asymptomatic infection, observed in two independent cohorts. Suggesting that this genetic association is due to pre-existing T cell immunity, we show that T cells from pre-pandemic samples from individuals carrying HLA-B*15:01 were reactive to the immunodominant SARS-CoV-2 S-derived peptide NQKLIANQF. The majority of the reactive T cells displayed a memory phenotype, were highly polyfunctional and were cross-reactive to a peptide derived from seasonal coronaviruses. The crystal structure of HLA-B*15:01-peptide complexes demonstrates that the peptides NQKLIANQF and NQKLIANAF (from OC43-CoV and HKU1-CoV) share a similar ability to be stabilized and presented by HLA-B*15:01. Finally, we show that the structural similarity of the peptides underpins T cell cross-reactivity of high-affinity public T cell receptors, providing the molecular basis for HLA-B*15:01-mediated pre-existing immunity.
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Affiliation(s)
- Danillo G Augusto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
- Department of Biological Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
| | - Lawton D Murdolo
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Demetra S M Chatzileontiadou
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Joseph J Sabatino
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Tasneem Yusufali
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Noah D Peyser
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Xochitl Butcher
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kerry Kizer
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Karoline Guthrie
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Victoria W Murray
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Vivian Pae
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Sannidhi Sarvadhavabhatla
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Fiona Beltran
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Gurjot S Gill
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Kara L Lynch
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Cassandra Yun
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Colin T Maguire
- Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA
| | - Michael J Peluso
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Timothy J Henrich
- Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Steven G Deeks
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Michelle Davidson
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sarah A Goldberg
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - J Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California, San Francisco, CA, USA
| | - Jeffrey N Martin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Cynthia A Vierra-Green
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephen R Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | | | - Michael J Dewar-Oldis
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Corey Smith
- QIMR Berghofer Centre for Immunotherapy and Vaccine Development Brisbane, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Peter J Barnard
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
| | - Sulggi Lee
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Gregory M Marcus
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Jeffrey E Olgin
- Division of Cardiology, Department of Medicine, University of California, San Francisco, CA, USA
| | - Mark J Pletcher
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
- Division of General Internal Medicine, University of California, San Francisco, CA, USA
| | - Martin Maiers
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, MN, USA
| | - Stephanie Gras
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Jill A Hollenbach
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
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Augusto DG, Yusufali T, Sabatino JJ, Peyser ND, Murdolo LD, Butcher X, Murray V, Pae V, Sarvadhavabhatla S, Beltran F, Gill G, Lynch K, Yun C, Maguire C, Peluso MJ, Hoh R, Henrich TJ, Deeks SG, Davidson M, Lu S, Goldberg SA, Kelly JD, Martin JN, Viera-Green CA, Spellman SR, Langton DJ, Lee S, Marcus GM, Olgin JE, Pletcher MJ, Gras S, Maiers M, Hollenbach JA. A common allele of HLA mediates asymptomatic SARS-CoV-2 infection. medRxiv 2022:2021.05.13.21257065. [PMID: 34031661 PMCID: PMC8142661 DOI: 10.1101/2021.05.13.21257065] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Despite some inconsistent reporting of symptoms, studies have demonstrated that at least 20% of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) will remain asymptomatic. Although most global efforts have focused on understanding factors underlying severe illness in COVID-19 (coronavirus disease of 2019), the examination of asymptomatic infection provides a unique opportunity to consider early disease and immunologic features promoting rapid viral clearance. Owing to its critical role in the immune response, we postulated that variation in the human leukocyte antigen (HLA) loci may underly processes mediating asymptomatic infection. We enrolled 29,947 individuals registered in the National Marrow Donor Program for whom high-resolution HLA genotyping data were available in the UCSF Citizen Science smartphone-based study designed to track COVID-19 symptoms and outcomes. Our discovery cohort (n=1428) was comprised of unvaccinated, self-identified subjects who reported a positive test result for SARS-CoV-2. We tested for association of five HLA loci (HLA-A, -B, -C, -DRB1, -DQB1) with disease course and identified a strong association of HLA-B*15:01 with asymptomatic infection, and reproduced this association in two independent cohorts. Suggesting that this genetic association is due to pre-existing T-cell immunity, we show that T cells from pre-pandemic individuals carrying HLA-B*15:01 were reactive to the immunodominant SARS-CoV-2 S-derived peptide NQKLIANQF, and 100% of the reactive cells displayed memory phenotype. Finally, we characterize the protein structure of HLA-B*15:01-peptide complexes, demonstrating that the NQKLIANQF peptide from SARS-CoV-2, and the highly homologous NQKLIANAF from seasonal coronaviruses OC43-CoV and HKU1-CoV, share similar ability to be stabilized and presented by HLA-B*15:01, providing the molecular basis for T-cell cross-reactivity and HLA-B*15:01-mediated pre-existing immunity.
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Affiliation(s)
- Danillo G. Augusto
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Programa de Pós-Graduação em Genética, Universidade Federal do Paraná, Curitiba, Brazil
- Department of Biological Sciences, The University of North Carolina at Charlotte, Charlotte, NC, USA
| | - Tasneem Yusufali
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Joseph J. Sabatino
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Noah D. Peyser
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Lawton D. Murdolo
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3086, Australia
| | - Xochitl Butcher
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Victoria Murray
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Vivian Pae
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Sannidhi Sarvadhavabhatla
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Fiona Beltran
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gurjot Gill
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Kara Lynch
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Cassandra Yun
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Colin Maguire
- University of Utah, Clinical and Translational Science Institute, Salt Lake City, UT
| | - Michael J. Peluso
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Rebecca Hoh
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Timothy J. Henrich
- Division of Experimental Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Steven G. Deeks
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Michelle Davidson
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Scott Lu
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Sarah A. Goldberg
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - J. Daniel Kelly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- F.I. Proctor Foundation, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Cynthia A. Viera-Green
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - Stephen R. Spellman
- CIBMTR (Center for International Blood and Marrow Transplant Research), National Marrow Donor Program/Be The Match, Minneapolis, Minnesota
| | - David J. Langton
- ExplantLab, The Biosphere, Newcastle Helix, Newcastle-upon-Tyne, UK
| | - Sulggi Lee
- Division of HIV, Infectious Diseases, and Global Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gregory M. Marcus
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey E. Olgin
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Mark J. Pletcher
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Division of General Internal Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Stephanie Gras
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3086, Australia
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | | | - Jill A. Hollenbach
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
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Nguyen A, Yusufali T, Hollenbach JA, Nellore A, Thompson RF. Minimal observed impact of HLA genotype on hospitalization and severity of SARS-CoV-2 infection. HLA 2022; 99:607-613. [PMID: 35118818 PMCID: PMC10464832 DOI: 10.1111/tan.14574] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/21/2022] [Indexed: 11/30/2022]
Abstract
HLA is a critical component of the viral antigen presentation pathway. We investigated the relationship between the severity of SARS-CoV-2 disease and HLA type in 3235 individuals with confirmed SARS-CoV-2 infection. We found only the DPB1 locus to be associated with the binary outcome of whether an individual developed any COVID-19 symptoms. The number of peptides predicted to bind to an HLA allele had no significant relationship with disease severity both when stratifying individuals by ancestry or age and in a pooled analysis. Overall, at the population level, we found HLA type is significantly less predictive of COVID-19 disease severity than certain demographic factors and clinical comorbidities.
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Affiliation(s)
- Austin Nguyen
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
| | - Tasneem Yusufali
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
| | - Jill A Hollenbach
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Abhinav Nellore
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
- Department of Surgery, Oregon Health & Science University, Portland, Oregon, USA
| | - Reid F Thompson
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, USA
- Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, USA
- Division of Hospital and Specialty Medicine, VA Portland Healthcare System, Portland, Oregon, USA
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Marin WM, Dandekar R, Augusto DG, Yusufali T, Heyn B, Hofmann J, Lange V, Sauter J, Norman PJ, Hollenbach JA. High-throughput Interpretation of Killer-cell Immunoglobulin-like Receptor Short-read Sequencing Data with PING. PLoS Comput Biol 2021; 17:e1008904. [PMID: 34339413 PMCID: PMC8360517 DOI: 10.1371/journal.pcbi.1008904] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 08/12/2021] [Accepted: 07/16/2021] [Indexed: 02/07/2023] Open
Abstract
The killer-cell immunoglobulin-like receptor (KIR) complex on chromosome 19 encodes receptors that modulate the activity of natural killer cells, and variation in these genes has been linked to infectious and autoimmune disease, as well as having bearing on pregnancy and transplant outcomes. The medical relevance and high variability of KIR genes makes short-read sequencing an attractive technology for interrogating the region, providing a high-throughput, high-fidelity sequencing method that is cost-effective. However, because this gene complex is characterized by extensive nucleotide polymorphism, structural variation including gene fusions and deletions, and a high level of homology between genes, its interrogation at high resolution has been thwarted by bioinformatic challenges, with most studies limited to examining presence or absence of specific genes. Here, we present the PING (Pushing Immunogenetics to the Next Generation) pipeline, which incorporates empirical data, novel alignment strategies and a custom alignment processing workflow to enable high-throughput KIR sequence analysis from short-read data. PING provides KIR gene copy number classification functionality for all KIR genes through use of a comprehensive alignment reference. The gene copy number determined per individual enables an innovative genotype determination workflow using genotype-matched references. Together, these methods address the challenges imposed by the structural complexity and overall homology of the KIR complex. To determine copy number and genotype determination accuracy, we applied PING to European and African validation cohorts and a synthetic dataset. PING demonstrated exceptional copy number determination performance across all datasets and robust genotype determination performance. Finally, an investigation into discordant genotypes for the synthetic dataset provides insight into misaligned reads, advancing our understanding in interpretation of short-read sequencing data in complex genomic regions. PING promises to support a new era of studies of KIR polymorphism, delivering high-resolution KIR genotypes that are highly accurate, enabling high-quality, high-throughput KIR genotyping for disease and population studies.
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Affiliation(s)
- Wesley M. Marin
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Ravi Dandekar
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Danillo G. Augusto
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | - Tasneem Yusufali
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
| | | | | | | | | | - Paul J. Norman
- Division of Biomedical Informatics and Personalized Medicine, and Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Jill A. Hollenbach
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, United States of America
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Anderson KM, Augusto DG, Dandekar R, Shams H, Zhao C, Yusufali T, Montero-Martín G, Marin WM, Nemat-Gorgani N, Creary LE, Caillier S, Mofrad MRK, Parham P, Fernández-Viña M, Oksenberg JR, Norman PJ, Hollenbach JA. Killer Cell Immunoglobulin-like Receptor Variants Are Associated with Protection from Symptoms Associated with More Severe Course in Parkinson Disease. J Immunol 2020; 205:1323-1330. [PMID: 32709660 DOI: 10.4049/jimmunol.2000144] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Accepted: 06/28/2020] [Indexed: 12/12/2022]
Abstract
Immune dysfunction plays a role in the development of Parkinson disease (PD). NK cells regulate immune functions and are modulated by killer cell immunoglobulin-like receptors (KIR). KIR are expressed on the surface of NK cells and interact with HLA class I ligands on the surface of all nucleated cells. We investigated KIR-allelic polymorphism to interrogate the role of NK cells in PD. We sequenced KIR genes from 1314 PD patients and 1978 controls using next-generation methods and identified KIR genotypes using custom bioinformatics. We examined associations of KIR with PD susceptibility and disease features, including age at disease onset and clinical symptoms. We identified two KIR3DL1 alleles encoding highly expressed inhibitory receptors associated with protection from PD clinical features in the presence of their cognate ligand: KIR3DL1*015/HLA-Bw4 from rigidity (p c = 0.02, odds ratio [OR] = 0.39, 95% confidence interval [CI] 0.23-0.69) and KIR3DL1*002/HLA-Bw4i from gait difficulties (p c = 0.05, OR = 0.62, 95% CI 0.44-0.88), as well as composite symptoms associated with more severe disease. We also developed a KIR3DL1/HLA interaction strength metric and found that weak KIR3DL1/HLA interactions were associated with rigidity (pc = 0.05, OR = 9.73, 95% CI 2.13-172.5). Highly expressed KIR3DL1 variants protect against more debilitating symptoms of PD, strongly implying a role of NK cells in PD progression and manifestation.
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Affiliation(s)
- Kirsten M Anderson
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Danillo G Augusto
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Ravi Dandekar
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Hengameh Shams
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Chao Zhao
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Tasneem Yusufali
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | | | - Wesley M Marin
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Neda Nemat-Gorgani
- Department of Structural Biology and Immunology, Stanford University, Palo Alto, CA 94305
| | - Lisa E Creary
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA 94304
| | - Stacy Caillier
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Mohammad R K Mofrad
- Molecular Cell Biomechanics Laboratory, Department of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA 94720; and
| | - Peter Parham
- Department of Structural Biology and Immunology, Stanford University, Palo Alto, CA 94305
| | | | - Jorge R Oksenberg
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158
| | - Paul J Norman
- Division of Biomedical Informatics and Personalized Medicine, Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045
| | - Jill A Hollenbach
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA 94158;
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