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Otero CE, Petkova S, Ebermann M, Taher H, John N, Hoffmann K, Davalos A, Moström MJ, Gilbride RM, Papen CR, Barber-Axthelm A, Scheef EA, Barfield R, Sprehe LM, Kendall S, Manuel TD, Vande Burgt NH, Chan C, Denton M, Streblow ZJ, Streblow DN, Hansen SG, Kaur A, Permar S, Früh K, Hengel H, Malouli D, Kolb P. Rhesus Cytomegalovirus-encoded Fcγ-binding glycoproteins facilitate viral evasion from IgG-mediated humoral immunity. bioRxiv 2024:2024.02.27.582371. [PMID: 38464092 PMCID: PMC10925275 DOI: 10.1101/2024.02.27.582371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Human cytomegalovirus (HCMV) encodes four viral Fc-gamma receptors (vFcγRs) that counteract antibody-mediated activation in vitro , but their role in infection and pathogenesis is unknown. To examine the in vivo function of vFcγRs in animal hosts closely related to humans, we identified and characterized vFcγRs encoded by rhesus CMV (RhCMV). We demonstrate that Rh05, Rh152/151 and Rh173 represent the complete set of RhCMV vFcγRs, each displaying functional similarities to their respective HCMV orthologs with respect to antagonizing host FcγR activation in vitro . When RhCMV-naïve rhesus macaques were infected with vFcγR-deleted RhCMV, peak plasma viremia levels and anti-RhCMV antibody responses were comparable to wildtype infections. However, the duration of plasma viremia was significantly shortened in immunocompetent, but not in CD4+ T cell-depleted animals. Since vFcγRs were not required for superinfection, we conclude that vFcγRs delay control by virus-specific adaptive immune responses, particularly antibodies, during primary infection.
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Wang HY, Li L, Nelson CS, Barfield R, Valencia S, Chan C, Muramatsu H, Lin PJC, Pardi N, An Z, Weissman D, Permar SR. Multivalent cytomegalovirus glycoprotein B nucleoside modified mRNA vaccines did not demonstrate a greater antibody breadth. NPJ Vaccines 2024; 9:38. [PMID: 38378950 PMCID: PMC10879498 DOI: 10.1038/s41541-024-00821-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/30/2024] [Indexed: 02/22/2024] Open
Abstract
Human cytomegalovirus (HCMV) remains the most common congenital infection and infectious complication in immunocompromised patients. The most successful HCMV vaccine to date, an HCMV glycoprotein B (gB) subunit vaccine adjuvanted with MF59, achieved 50% efficacy against primary HCMV infection. A previous study demonstrated that gB/MF59 vaccinees were less frequently infected with HCMV gB genotype strains most similar to the vaccine strain than strains encoding genetically distinct gB genotypes, suggesting strain-specific immunity accounted for the limited efficacy. To determine whether vaccination with multiple HCMV gB genotypes could increase the breadth of anti-HCMV gB humoral and cellular responses, we immunized 18 female rabbits with monovalent (gB-1), bivalent (gB-1+gB-3), or pentavalent (gB-1+gB-2+gB-3+gB-4+gB-5) gB lipid nanoparticle-encapsulated nucleoside-modified RNA (mRNA-LNP) vaccines. The multivalent vaccine groups did not demonstrate a higher magnitude or breadth of the IgG response to the gB ectodomain or cell-associated gB compared to that of the monovalent vaccine. Also, the multivalent vaccines did not show an increase in the breadth of neutralization activity and antibody-dependent cellular phagocytosis against HCMV strains encoding distinct gB genotypes. Interestingly, peripheral blood mononuclear cell-derived gB-2-specific T-cell responses elicited by multivalent vaccines were of a higher magnitude compared to that of monovalent vaccinated animals against a vaccine-mismatched gB genotype at peak immunogenicity. Yet, no statistical differences were observed in T cell response against gB-3 and gB-5 variable regions among the three vaccine groups. Our data suggests that the inclusion of multivalent gB antigens is not an effective strategy to increase the breadth of anti-HCMV gB antibody and T cell responses. Understanding how to increase the HCMV vaccine protection breadth will be essential to improve the vaccine efficacy.
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Affiliation(s)
- Hsuan-Yuan Wang
- Department of Pediatrics, Weill Cornell Medicine, New York, NY, 10065, USA
- Duke University Medical Center, Duke Human Vaccine Institute, Durham, NC, 27710, USA
| | - Leike Li
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Takeda Pharmaceutical, San Diego, CA, 92121, USA
| | - Cody S Nelson
- Division of Allergy and Clinical Immunology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
- Center for Human Systems Immunology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Sarah Valencia
- Duke University Medical Center, Duke Human Vaccine Institute, Durham, NC, 27710, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
- Center for Human Systems Immunology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Hiromi Muramatsu
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Paulo J C Lin
- Acuitas Therapeutics, Vancouver, BC, V6T 1Z3, Canada
| | - Norbert Pardi
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Drew Weissman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sallie R Permar
- Department of Pediatrics, Weill Cornell Medicine, New York, NY, 10065, USA.
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Tuyishime M, Spreng RL, Hueber B, Nohara J, Goodman D, Chan C, Barfield R, Beck WE, Jha S, Asdell S, Wiehe K, He MM, Easterhoff D, Conley HE, Hoxie T, Gurley T, Jones C, Adhikary ND, Villinger F, Thomas R, Denny TN, Moody MA, Tomaras GD, Pollara J, Reeves RK, Ferrari G. Multivariate analysis of FcR-mediated NK cell functions identifies unique clustering among humans and rhesus macaques. Front Immunol 2023; 14:1260377. [PMID: 38124734 PMCID: PMC10732150 DOI: 10.3389/fimmu.2023.1260377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/04/2023] [Indexed: 12/23/2023] Open
Abstract
Rhesus macaques (RMs) are a common pre-clinical model used to test HIV vaccine efficacy and passive immunization strategies. Yet, it remains unclear to what extent the Fc-Fc receptor (FcR) interactions impacting antiviral activities of antibodies in RMs recapitulate those in humans. Here, we evaluated the FcR-related functionality of natural killer cells (NKs) from peripheral blood of uninfected humans and RMs to identify intra- and inter-species variation. NKs were screened for FcγRIIIa (human) and FcγRIII (RM) genotypes (FcγRIII(a)), receptor signaling, and antibody-dependent cellular cytotoxicity (ADCC), the latter mediated by a cocktail of monoclonal IgG1 antibodies with human or RM Fc. FcγRIII(a) genetic polymorphisms alone did not explain differences in NK effector functionality in either species cohort. Using the same parameters, hierarchical clustering separated each species into two clusters. Importantly, in principal components analyses, ADCC magnitude, NK contribution to ADCC, FcγRIII(a) cell-surface expression, and frequency of phosphorylated CD3ζ NK cells all contributed similarly to the first principal component within each species, demonstrating the importance of measuring multiple facets of NK cell function. Although ADCC potency was similar between species, we detected significant differences in frequencies of NK cells and pCD3ζ+ cells, level of cell-surface FcγRIII(a) expression, and NK-mediated ADCC (P<0.001), indicating that a combination of Fc-FcR parameters contribute to overall inter-species functional differences. These data strongly support the importance of multi-parameter analyses of Fc-FcR NK-mediated functions when evaluating efficacy of passive and active immunizations in pre- and clinical trials and identifying correlates of protection. The results also suggest that pre-screening animals for multiple FcR-mediated NK function would ensure even distribution of animals among treatment groups in future preclinical trials.
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Affiliation(s)
- Marina Tuyishime
- Department of Surgery, Duke University, Durham, NC, United States
| | - Rachel L. Spreng
- Duke Human Vaccine Institute, Durham, NC, United States
- Center for Human Systems Immunology, Durham, NC, United States
| | - Brady Hueber
- Center for Human Systems Immunology, Durham, NC, United States
| | - Junsuke Nohara
- Department of Surgery, Duke University, Durham, NC, United States
| | - Derrick Goodman
- Department of Surgery, Duke University, Durham, NC, United States
- Center for Human Systems Immunology, Durham, NC, United States
| | - Cliburn Chan
- Center for Human Systems Immunology, Durham, NC, United States
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States
| | - Richard Barfield
- Center for Human Systems Immunology, Durham, NC, United States
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, United States
| | - Whitney E. Beck
- Department of Surgery, Duke University, Durham, NC, United States
| | - Shalini Jha
- Department of Surgery, Duke University, Durham, NC, United States
| | - Stephanie Asdell
- Department of Surgery, Duke University, Durham, NC, United States
| | - Kevin Wiehe
- Duke Human Vaccine Institute, Durham, NC, United States
- Department of Medicine, Duke University, Durham, NC, United States
| | - Max M. He
- Duke Human Vaccine Institute, Durham, NC, United States
| | | | | | - Taylor Hoxie
- Duke Human Vaccine Institute, Durham, NC, United States
| | | | | | - Nihar Deb Adhikary
- New Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA, United States
| | - Francois Villinger
- New Iberia Research Center, University of Louisiana at Lafayette, New Iberia, LA, United States
| | - Rasmi Thomas
- U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, United States
| | - Thomas N. Denny
- Duke Human Vaccine Institute, Durham, NC, United States
- Department of Medicine, Duke University, Durham, NC, United States
| | - Michael Anthony Moody
- Duke Human Vaccine Institute, Durham, NC, United States
- Department of Pediatrics, Duke University, Durham, NC, United States
- Department of Integrative Immunobiology, Duke University, Durham, NC, United States
| | - Georgia D. Tomaras
- Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Durham, NC, United States
- Center for Human Systems Immunology, Durham, NC, United States
- Department of Integrative Immunobiology, Duke University, Durham, NC, United States
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, United States
| | - Justin Pollara
- Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Durham, NC, United States
- Center for Human Systems Immunology, Durham, NC, United States
| | - R. Keith Reeves
- Department of Surgery, Duke University, Durham, NC, United States
- Center for Human Systems Immunology, Durham, NC, United States
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Guido Ferrari
- Department of Surgery, Duke University, Durham, NC, United States
- Duke Human Vaccine Institute, Durham, NC, United States
- Center for Human Systems Immunology, Durham, NC, United States
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Moris D, Barfield R, Chan C, Chasse S, Stempora L, Xie J, Plichta JK, Thacker J, Harpole DH, Purves T, Lagoo-Deenadayalan S, Hwang ESS, Kirk AD. Immune Phenotype and Postoperative Complications After Elective Surgery. Ann Surg 2023; 278:873-882. [PMID: 37051915 DOI: 10.1097/sla.0000000000005864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
OBJECTIVES To characterize and quantify accumulating immunologic alterations, pre and postoperatively in patients undergoing elective surgical procedures. BACKGROUND Elective surgery is an anticipatable, controlled human injury. Although the human response to injury is generally stereotyped, individual variability exists. This makes surgical outcomes less predictable, even after standardized procedures, and may provoke complications in patients unable to compensate for their injury. One potential source of variation is found in immune cell maturation, with phenotypic changes dependent on an individual's unique, lifelong response to environmental antigens. METHODS We enrolled 248 patients in a prospective trial facilitating comprehensive biospecimen and clinical data collection in patients scheduled to undergo elective surgery. Peripheral blood was collected preoperatively, and immediately on return to the postanesthesia care unit. Postoperative complications that occurred within 30 days after surgery were captured. RESULTS As this was an elective surgical cohort, outcomes were generally favorable. With a median follow-up of 6 months, the overall survival at 30 days was 100%. However, 20.5% of the cohort experienced a postoperative complication (infection, readmission, or system dysfunction). We identified substantial heterogeneity of immune senescence and terminal differentiation phenotypes in surgical patients. More importantly, phenotypes indicating increased T-cell maturation and senescence were associated with postoperative complications and were evident preoperatively. CONCLUSIONS The baseline immune repertoire may define an immune signature of resilience to surgical injury and help predict risk for surgical complications.
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Affiliation(s)
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University; Durham, NC
- Duke Center for Genomic and Computational Biology, Duke University; Durham, NC
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University; Durham, NC
- Duke Center for Genomic and Computational Biology, Duke University; Durham, NC
| | - Scott Chasse
- Department of Surgery, Duke University; Durham, NC
| | | | - Jichun Xie
- Department of Biostatistics and Bioinformatics, Duke University; Durham, NC
- Duke Center for Genomic and Computational Biology, Duke University; Durham, NC
| | | | | | | | - Todd Purves
- Department of Surgery, Duke University; Durham, NC
| | | | | | - Allan D Kirk
- Department of Surgery, Duke University; Durham, NC
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5
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Swaminathan AC, Barfield R, Zhang M, Povysil G, Chen C, Frankel C, Kelly F, McKinney M, Todd JL, Allen A, Palmer SM. Prevalence and significance of clonal hematopoiesis of indeterminate potential in lung transplant recipients. BMC Pulm Med 2023; 23:414. [PMID: 37904125 PMCID: PMC10614406 DOI: 10.1186/s12890-023-02703-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 10/11/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Clonal hematopoiesis of indeterminate potential (CHIP), the age-related acquisition of somatic mutations that leads to an expanded blood cell clone, has been associated with development of a pro-inflammatory state. An enhanced or dysregulated inflammatory response may contribute to rejection after lung transplantation, however the prevalence of CHIP in lung recipients and influence of CHIP on allograft outcomes is unknown. METHODS We analyzed whole-exome sequencing data in 279 lung recipients to detect CHIP, defined by pre-specified somatic mutations in 74 genes known to promote clonal expansion of hematopoietic stem cells. We compared the burden of acute rejection (AR) over the first post-transplant year in lung recipients with vs. without CHIP using multivariable ordinal regression. Multivariate Cox proportional hazards models were used to assess the association between CHIP and CLAD-free survival. An exploratory analysis evaluated the association between the number of CHIP-associated variants and chronic lung allograft dysfunction (CLAD)-free survival. RESULTS We detected 64 CHIP-associated mutations in 45 individuals (15.7%), most commonly in TET2 (10.8%), DNMT3A (9.2%), and U2AF1 (9.2%). Patients with CHIP tended to be older but did not significantly differ from patients without CHIP in terms of race or native lung disease. Patients with CHIP did not have a higher incidence of AR over the first post-transplant year (p = 0.45) or a significantly increased risk of death or CLAD (adjusted HR 1.25, 95% CI 0.88-1.78). We did observe a significant association between the number of CHIP variants and CLAD-free survival, specifically patients with 2 or more CHIP-associated variants had an increased risk for death or CLAD (adjusted HR 3.79, 95% CI 1.98-7.27). CONCLUSIONS Lung recipients have a higher prevalence of CHIP and a larger variety of genes with CHIP-associated mutations compared with previous reports for the general population. CHIP did not increase the risk of AR, CLAD, or death in lung recipients.
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Affiliation(s)
- Aparna C Swaminathan
- Duke Clinical Research Institute, Durham, NC, USA.
- Department of Medicine, Duke University Medical Center, Durham, NC, USA.
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, USA
- Center for Human Systems Immunology, School of Medicine, Duke University, Durham, USA
| | - Mengqi Zhang
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, USA
| | - Gundula Povysil
- Institute for Genomic Medicine, Columbia University Medical Center, New York, NY, USA
| | - Cliburn Chen
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, USA
- Center for Human Systems Immunology, School of Medicine, Duke University, Durham, USA
| | - Courtney Frankel
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Francine Kelly
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Matthew McKinney
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Jamie L Todd
- Duke Clinical Research Institute, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Andrew Allen
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, USA
| | - Scott M Palmer
- Duke Clinical Research Institute, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
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6
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Otero CE, Barfield R, Scheef E, Nelson CS, Rodgers N, Wang HY, Moström MJ, Manuel TD, Sass J, Schmidt K, Taher H, Papen C, Sprehe L, Kendall S, Davalos A, Barry PA, Früh K, Pollara J, Malouli D, Chan C, Kaur A, Permar SR. Relationship of maternal cytomegalovirus-specific antibody responses and viral load to vertical transmission risk following primary maternal infection in a rhesus macaque model. PLoS Pathog 2023; 19:e1011378. [PMID: 37871009 PMCID: PMC10621917 DOI: 10.1371/journal.ppat.1011378] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 11/02/2023] [Accepted: 09/29/2023] [Indexed: 10/25/2023] Open
Abstract
Cytomegalovirus (CMV) is the most common congenital infection and cause of birth defects worldwide. Primary CMV infection during pregnancy leads to a higher frequency of congenital CMV (cCMV) than maternal re-infection, suggesting that maternal immunity confers partial protection. However, poorly understood immune correlates of protection against placental transmission contributes to the current lack of an approved vaccine to prevent cCMV. In this study, we characterized the kinetics of maternal plasma rhesus CMV (RhCMV) viral load (VL) and RhCMV-specific antibody binding and functional responses in a group of 12 immunocompetent dams with acute, primary RhCMV infection. We defined cCMV transmission as RhCMV detection in amniotic fluid (AF) by qPCR. We then leveraged a large group of past and current primary RhCMV infection studies in late-first/early-second trimester RhCMV-seronegative rhesus macaque dams, including immunocompetent (n = 15), CD4+ T cell-depleted with (n = 6) and without (n = 6) RhCMV-specific polyclonal IgG infusion before infection to evaluate differences between RhCMV AF-positive and AF-negative dams. During the first 3 weeks after infection, the magnitude of RhCMV VL in maternal plasma was higher in AF-positive dams in the combined cohort, while RhCMV glycoprotein B (gB)- and pentamer-specific binding IgG responses were lower magnitude compared to AF-negative dams. However, these observed differences were driven by the CD4+ T cell-depleted dams, as there were no differences in plasma VL or antibody responses between immunocompetent AF-positive vs AF-negative dams. Overall, these results suggest that levels of neither maternal plasma viremia nor humoral responses are associated with cCMV following primary maternal infection in healthy individuals. We speculate that other factors related to innate immunity are more important in this context as antibody responses to acute infection likely develop too late to influence vertical transmission. Yet, pre-existing CMV glycoprotein-specific and neutralizing IgG may provide protection against cCMV following primary maternal CMV infection even in high-risk, immunocompromised settings.
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Affiliation(s)
- Claire E. Otero
- Department of Pathology, Duke University, Durham, North Carolina, United States of America
- Department of Pediatrics, Weill Cornell Medical College, New York, New York, United States of America
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
| | - Elizabeth Scheef
- Tulane National Primate Research Center, Covington, Louisiana, United States of America
| | - Cody S. Nelson
- Division of Allergy and Clinical Immunology, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Nicole Rodgers
- Duke Human Vaccine Institute & Department of Surgery, Duke University, Durham, North Carolina, United States of America
| | - Hsuan-Yuan Wang
- Department of Pediatrics, Weill Cornell Medical College, New York, New York, United States of America
- Department of Immunology, Duke University, Durham, North Carolina, United States of America
| | - Matilda J. Moström
- Tulane National Primate Research Center, Covington, Louisiana, United States of America
| | - Tabitha D. Manuel
- Tulane National Primate Research Center, Covington, Louisiana, United States of America
| | - Julian Sass
- Department of Mathematics, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Kimberli Schmidt
- Center for Immunology and Infectious Diseases, University of California, Davis, California, United States of America
| | - Husam Taher
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, Oregon, United States of America
| | - Courtney Papen
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, Oregon, United States of America
| | - Lesli Sprehe
- Tulane National Primate Research Center, Covington, Louisiana, United States of America
| | - Savannah Kendall
- Tulane National Primate Research Center, Covington, Louisiana, United States of America
| | - Angel Davalos
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
| | - Peter A. Barry
- Center for Immunology and Infectious Diseases, University of California, Davis, California, United States of America
| | - Klaus Früh
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, Oregon, United States of America
| | - Justin Pollara
- Duke Human Vaccine Institute & Department of Surgery, Duke University, Durham, North Carolina, United States of America
| | - Daniel Malouli
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, Oregon, United States of America
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
| | - Amitinder Kaur
- Tulane National Primate Research Center, Covington, Louisiana, United States of America
| | - Sallie R. Permar
- Department of Pediatrics, Weill Cornell Medical College, New York, New York, United States of America
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7
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Wang HY, Taher H, Kreklywich CN, Schmidt KA, Scheef EA, Barfield R, Otero CE, Valencia SM, Crooks CM, Mirza A, Woods K, Burgt NV, Kowalik TF, Barry PA, Hansen SG, Tarantal AF, Chan C, Streblow DN, Picker LJ, Kaur A, Früh K, Permar SR, Malouli D. The pentameric complex is not required for vertical transmission of cytomegalovirus in seronegative pregnant rhesus macaques. bioRxiv 2023:2023.06.15.545169. [PMID: 37398229 PMCID: PMC10312687 DOI: 10.1101/2023.06.15.545169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Congenital cytomegalovirus (cCMV) infection is the leading infectious cause of neonatal neurological impairment but essential virological determinants of transplacental CMV transmission remain unclear. The pentameric complex (PC), composed of five subunits, glycoproteins H (gH), gL, UL128, UL130, and UL131A, is essential for efficient entry into non-fibroblast cells in vitro . Based on this role in cell tropism, the PC is considered a possible target for CMV vaccines and immunotherapies to prevent cCMV. To determine the role of the PC in transplacental CMV transmission in a non-human primate model of cCMV, we constructed a PC-deficient rhesus CMV (RhCMV) by deleting the homologues of the HCMV PC subunits UL128 and UL130 and compared congenital transmission to PC-intact RhCMV in CD4+ T cell-depleted or immunocompetent RhCMV-seronegative, pregnant rhesus macaques (RM). Surprisingly, we found that the transplacental transmission rate was similar for PC-intact and PC-deleted RhCMV based on viral genomic DNA detection in amniotic fluid. Moreover, PC-deleted and PC-intact RhCMV acute infection led to similar peak maternal plasma viremia. However, there was less viral shedding in maternal urine and saliva and less viral dissemination in fetal tissues in the PC-deleted group. As expected, dams inoculated with PC-deleted RhCMV demonstrated lower plasma IgG binding to PC-intact RhCMV virions and soluble PC, as well as reduced neutralization of PC-dependent entry of the PC-intact RhCMV isolate UCD52 into epithelial cells. In contrast, binding to gH expressed on the cell surface and neutralization of entry into fibroblasts by the PC-intact RhCMV was higher for dams infected with PC-deleted RhCMV compared to those infected with PC-intact RhCMV. Our data demonstrates that the PC is dispensable for transplacental CMV infection in our non-human primate model. One Sentence Summary Congenital CMV transmission frequency in seronegative rhesus macaques is not affected by the deletion of the viral pentameric complex.
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8
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Otero CE, Barfield R, Scheef E, Nelson CS, Rodgers N, Wang HY, Moström MJ, Manuel TD, Sass J, Schmidt K, Taher H, Papen C, Sprehe L, Kendall S, Davalos A, Barry PA, Früh K, Pollara J, Malouli D, Chan C, Kaur A, Permar SR. Relationship of maternal cytomegalovirus-specific antibody responses and viral load to vertical transmission risk following primary maternal infection in a rhesus macaque model. bioRxiv 2023:2023.04.21.537769. [PMID: 37131785 PMCID: PMC10153280 DOI: 10.1101/2023.04.21.537769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Cytomegalovirus (CMV) is the most common congenital infection and cause of birth defects worldwide. Primary CMV infection during pregnancy leads to a higher frequency of congenital CMV (cCMV) than maternal re-infection, suggesting that maternal immunity confers partial protection. However, poorly understood immune correlates of protection against placental transmission contributes to the current lack of an approved vaccine to prevent cCMV. In this study, we characterized the kinetics of maternal plasma rhesus CMV (RhCMV) viral load (VL) and RhCMV-specific antibody binding and functional responses in a group of 12 immunocompetent dams with acute, primary RhCMV infection. We defined cCMV transmission as RhCMV detection in amniotic fluid (AF) by qPCR. We then leveraged a large group of past and current primary RhCMV infection studies in late-first/early-second trimester RhCMV-seronegative rhesus macaque dams, including immunocompetent (n=15), CD4+ T cell-depleted with (n=6) and without (n=6) RhCMV-specific polyclonal IgG infusion before infection to evaluate differences between RhCMV AF-positive and AF-negative dams. During the first 3 weeks after infection, the magnitude of RhCMV VL in maternal plasma was higher in AF-positive dams in the combined cohort, while RhCMV glycoprotein B (gB)- and pentamer-specific binding IgG responses were lower magnitude compared to AF-negative dams. However, these observed differences were driven by the CD4+ T cell-depleted dams, as there were no differences in plasma VL or antibody responses between immunocompetent AF-positive vs AF-negative dams. Overall, these results suggest that levels of neither maternal plasma viremia nor humoral responses are associated with cCMV following primary maternal infection in healthy individuals. We speculate that other factors related to innate immunity are more important in this context as antibody responses to acute infection likely develop too late to influence vertical transmission. Yet, pre-existing CMV glycoprotein-specific and neutralizing IgG may provide protection against cCMV following primary maternal CMV infection even in high-risk, immunocompromised settings.
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Affiliation(s)
- Claire E Otero
- Department of Pathology, Duke University, Durham, NC
- Department of Pediatrics, Weill Cornell Medical College, New York, NY
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | | | - Cody S Nelson
- Division of Allergy and Clinical Immunology, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Nicole Rodgers
- Duke Human Vaccine Institute & Department of Surgery, Duke University, Durham, NC
| | - Hsuan-Yuan Wang
- Department of Pediatrics, Weill Cornell Medical College, New York, NY
- Department of Immunology, Duke University, Durham, NC
| | | | | | - Julian Sass
- Department of Mathematics, North Carolina State University, Raleigh, NC
| | - Kimberli Schmidt
- Center for Immunology and Infectious Diseases, University of California, Davis, CA
| | - Husam Taher
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, OR
| | - Courtney Papen
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, OR
| | - Lesli Sprehe
- Tulane National Primate Research Center, Covington, LA
| | | | - Angel Davalos
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | - Peter A Barry
- Center for Immunology and Infectious Diseases, University of California, Davis, CA
| | - Klaus Früh
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, OR
| | - Justin Pollara
- Duke Human Vaccine Institute & Department of Surgery, Duke University, Durham, NC
| | - Daniel Malouli
- Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, OR
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | | | - Sallie R Permar
- Department of Pediatrics, Weill Cornell Medical College, New York, NY
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9
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Harnois M, Barfield R, Palmer S, Snyder L, Chan C, Jackson A, Permar S. Cytomegalovirus (CMV)-Specific Humoral Immune Responses Pre-Transplantation are Associated with Risk of Post-Transplant CMV DNAemia. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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10
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Hansen SG, Womack JL, Perez W, Schmidt KA, Marshall E, Iyer RF, Cleveland Rubeor H, Otero CE, Taher H, Vande Burgt NH, Barfield R, Randall KT, Morrow D, Hughes CM, Selseth AN, Gilbride RM, Ford JC, Caposio P, Tarantal AF, Chan C, Malouli D, Barry PA, Permar SR, Picker LJ, Früh K. Late gene expression-deficient cytomegalovirus vectors elicit conventional T cells that do not protect against SIV. JCI Insight 2023; 8:e164692. [PMID: 36749635 PMCID: PMC10070102 DOI: 10.1172/jci.insight.164692] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 08/30/2022] [Accepted: 02/01/2023] [Indexed: 02/08/2023] Open
Abstract
Rhesus cytomegalovirus-based (RhCMV-based) vaccine vectors induce immune responses that protect ~60% of rhesus macaques (RMs) from SIVmac239 challenge. This efficacy depends on induction of effector memory-based (EM-biased) CD8+ T cells recognizing SIV peptides presented by major histocompatibility complex-E (MHC-E) instead of MHC-Ia. The phenotype, durability, and efficacy of RhCMV/SIV-elicited cellular immune responses were maintained when vector spread was severely reduced by deleting the antihost intrinsic immunity factor phosphoprotein 71 (pp71). Here, we examined the impact of an even more stringent attenuation strategy on vector-induced immune protection against SIV. Fusion of the FK506-binding protein (FKBP) degradation domain to Rh108, the orthologue of the essential human CMV (HCMV) late gene transcription factor UL79, generated RhCMV/SIV vectors that conditionally replicate only when the FK506 analog Shield-1 is present. Despite lacking in vivo dissemination and reduced innate and B cell responses to vaccination, Rh108-deficient 68-1 RhCMV/SIV vectors elicited high-frequency, durable, EM-biased, SIV-specific T cell responses in RhCMV-seropositive RMs at doses of ≥ 1 × 106 PFU. Strikingly, elicited CD8+ T cells exclusively targeted MHC-Ia-restricted epitopes and failed to protect against SIVmac239 challenge. Thus, Rh108-dependent late gene expression is required for both induction of MHC-E-restricted T cells and protection against SIV.
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Affiliation(s)
- Scott G. Hansen
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Jennie L. Womack
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Wilma Perez
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | | | - Emily Marshall
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Ravi F. Iyer
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Hillary Cleveland Rubeor
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Claire E. Otero
- Duke Human Vaccine Institute, Duke University Medical School, Durham, North Carolina, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, New York, USA
| | - Husam Taher
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Nathan H. Vande Burgt
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA
- Center for Human Systems Immunology, School of Medicine, Duke University, Durham, North Carolina, USA
| | - Kurt T. Randall
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - David Morrow
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Colette M. Hughes
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Andrea N. Selseth
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Roxanne M. Gilbride
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Julia C. Ford
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Patrizia Caposio
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Alice F. Tarantal
- California National Primate Research Center, UCD, Davis, California, USA
- Departments of Pediatrics and Cell Biology and Human Anatomy, School of Medicine, UCD, Davis, California, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina, USA
- Center for Human Systems Immunology, School of Medicine, Duke University, Durham, North Carolina, USA
| | - Daniel Malouli
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Peter A. Barry
- California National Primate Research Center, UCD, Davis, California, USA
| | - Sallie R. Permar
- Duke Human Vaccine Institute, Duke University Medical School, Durham, North Carolina, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, New York, USA
| | - Louis J. Picker
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
| | - Klaus Früh
- Vaccine and Gene Therapy Institute and Oregon National Primate Research Center, Oregon Health & Science University, Beaverton, Oregon, USA
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11
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Murdoch DM, Barfield R, Chan C, Towe SL, Bell RP, Volkheimer A, Choe J, Hall SA, Berger M, Xie J, Meade CS. Neuroimaging and immunological features of neurocognitive function related to substance use in people with HIV. J Neurovirol 2022; 29:78-93. [PMID: 36348233 PMCID: PMC10089970 DOI: 10.1007/s13365-022-01102-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/17/2022] [Accepted: 10/20/2022] [Indexed: 11/11/2022]
Abstract
This study sought to identify neuroimaging and immunological factors associated with substance use and that contribute to neurocognitive impairment (NCI) in people with HIV (PWH). We performed cross-sectional immunological phenotyping, neuroimaging, and neurocognitive testing on virally suppressed PWH in four substance groups: cocaine only users (COC), marijuana only users (MJ), dual users (Dual), and Non-users. Participants completed substance use assessments, multimodal MRI brain scan, neuropsychological testing, and blood and CSF sampling. We employed a two-stage analysis of 305 possible biomarkers of cognitive function associated with substance use. Feature reduction (Kruskal Wallis p-value < 0.05) identified 53 biomarkers associated with substance use (22 MRI and 31 immunological) for model inclusion along with clinical and demographic variables. We employed eXtreme Gradient Boosting (XGBoost) with these markers to predict cognitive function (global T-score). SHapley Additive exPlanations (SHAP) values were calculated to rank features for impact on model output and NCI. Participants were 110 PWH with sustained HIV viral suppression (33 MJ, 12 COC, 22 Dual, and 43 Non-users). The ten highest ranking biomarkers for predicting global T-score were 4 neuroimaging biomarkers including functional connectivity, gray matter volume, and white matter integrity; 5 soluble biomarkers (plasma glycine, alanine, lyso-phosphatidylcholine (lysoPC) aC17.0, hydroxy-sphingomyelin (SM.OH) C14.1, and phosphatidylcholinediacyl (PC aa) C28.1); and 1 clinical variable (nadir CD4 count). The results of our machine learning model suggest that substance use may indirectly contribute to NCI in PWH through both metabolomic and neuropathological mechanisms.
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Affiliation(s)
- David M Murdoch
- Department of Medicine, Duke University Medical Center, DUMC Box 2629, Durham, NC, 27710, USA.
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.,Center for Human Systems Immunology, School of Medicine, Duke University, Durham, NC, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.,Center for Human Systems Immunology, School of Medicine, Duke University, Durham, NC, USA
| | - Sheri L Towe
- Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Ryan P Bell
- Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Alicia Volkheimer
- Department of Medicine, Duke University Medical Center, DUMC Box 2629, Durham, NC, 27710, USA
| | - Joyce Choe
- Department of Medicine, Duke University Medical Center, DUMC Box 2629, Durham, NC, 27710, USA
| | - Shana A Hall
- Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Miles Berger
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Jichun Xie
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.,Center for Human Systems Immunology, School of Medicine, Duke University, Durham, NC, USA.,Department of Mathematics, Duke University, Durham, NC, USA
| | - Christina S Meade
- Department of Psychiatry & Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
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12
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Harnois MJ, Dennis M, Stöhr D, Valencia SM, Rodgers N, Semmes EC, Webster HS, Jenks JA, Barfield R, Pollara J, Chan C, Sinzger C, Permar SR. Characterization of Plasma Immunoglobulin G Responses in Elite Neutralizers of Human Cytomegalovirus. J Infect Dis 2022; 226:1667-1677. [PMID: 35970817 PMCID: PMC10205896 DOI: 10.1093/infdis/jiac341] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 05/06/2022] [Accepted: 08/11/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Human cytomegalovirus (HCMV) is the most common infectious complication of organ transplantation and cause of birth defects worldwide. There are limited therapeutic options and no licensed vaccine to prevent HCMV infection or disease. To inform development of HCMV antibody-based interventions, a previous study identified individuals with potent and broad plasma HCMV-neutralizing activity, termed elite neutralizers (ENs), from a cohort of HCMV-seropositive (SP) blood donors. However, the specificities and functions of plasma antibodies associated with EN status remained undefined. METHODS We sought to determine the plasma antibody specificities, breadth, and Fc-mediated antibody effector functions associated with the most potent HCMV-neutralizing responses in plasma from ENs (n = 25) relative to that from SP donors (n = 19). We measured antibody binding against various HCMV strains and glycoprotein targets and evaluated Fc-mediated effector functions, antibody-dependent cellular cytotoxicity (ADCC), and antibody-dependent cellular phagocytosis (ADCP). RESULTS We demonstrate that ENs have elevated immunoglobulin G binding responses against multiple viral glycoproteins, relative to SP donors. Our study also revealed potent HCMV-specific antibody-dependent cellular cytotoxicity and antibody-dependent cellular phagocytosis activity of plasma from ENs. CONCLUSIONS We conclude that antibody responses against multiple glycoprotein specificities may be needed to achieve potent plasma neutralization and that potently HCMV elite-neutralizing plasma antibodies can also mediate polyfunctional responses.
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Affiliation(s)
- Melissa J Harnois
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
- Department of Immunology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Maria Dennis
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Dagmar Stöhr
- Institute for Virology, Ulm University Medical Center, Ulm, Baden-Württemberg, Germany
| | - Sarah M Valencia
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Nicole Rodgers
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Eleanor C Semmes
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
- Medical Scientist Training Program, Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Helen S Webster
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Jennifer A Jenks
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
- Medical Scientist Training Program, Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
- Center for Human Systems Immunology, Duke University Medical Center, Durham, North Carolina, USA
| | - Justin Pollara
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
- Center for Human Systems Immunology, Duke University Medical Center, Durham, North Carolina, USA
| | - Christian Sinzger
- Institute for Virology, Ulm University Medical Center, Ulm, Baden-Württemberg, Germany
| | - Sallie R Permar
- Duke Human Vaccine Institute, Duke University Medical Center, Durham, North Carolina, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, New York, USA
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13
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Chen JL, Fries CN, Berendam SJ, Rodgers NS, Roe EF, Wu Y, Li SH, Jain R, Watts B, Eudailey J, Barfield R, Chan C, Moody MA, Saunders KO, Pollara J, Permar SR, Collier JH, Fouda GG. Self-assembling peptide nanofiber HIV vaccine elicits robust vaccine-induced antibody functions and modulates Fc glycosylation. Sci Adv 2022; 8:eabq0273. [PMID: 36149967 PMCID: PMC9506727 DOI: 10.1126/sciadv.abq0273] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 08/04/2022] [Indexed: 06/16/2023]
Abstract
To develop vaccines for certain key global pathogens such as HIV, it is crucial to elicit both neutralizing and non-neutralizing Fc-mediated effector antibody functions. Clinical evidence indicates that non-neutralizing antibody functions including antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP) contribute to protection against several pathogens. In this study, we demonstrated that conjugation of HIV Envelope (Env) antigen gp120 to a self-assembling nanofiber material named Q11 induced antibodies with higher breadth and functionality when compared to soluble gp120. Immunization with Q11-conjugated gp120 vaccine (gp120-Q11) demonstrated higher tier 1 neutralization, ADCP, and ADCC as compared to soluble gp120. Moreover, Q11 conjugation altered the Fc N-glycosylation profile of antigen-specific antibodies, leading to a phenotype associated with increased ADCC in animals immunized with gp120-Q11. Thus, this nanomaterial vaccine strategy can enhance non-neutralizing antibody functions possibly through modulation of immunoglobulin G Fc N-glycosylation.
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Affiliation(s)
- Jui-Lin Chen
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Chelsea N. Fries
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Stella J. Berendam
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Nicole S. Rodgers
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Emily F. Roe
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Yaoying Wu
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Shuk Hang Li
- The Cell and Molecular Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rishabh Jain
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Brian Watts
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Joshua Eudailey
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham NC 27710, USA
- Center for Human Systems Immunology, Duke University School of Medicine, Durham, NC 27707, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham NC 27710, USA
- Center for Human Systems Immunology, Duke University School of Medicine, Durham, NC 27707, USA
| | - M. Anthony Moody
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Kevin O. Saunders
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Justin Pollara
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Sallie R. Permar
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Joel H. Collier
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Genevieve G. Fouda
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710, USA
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14
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Barfield R, Qu C, Steinfelder RS, Zeng C, Harrison TA, Brezina S, Buchanan DD, Campbell PT, Casey G, Gallinger S, Giannakis M, Gruber SB, Gsur A, Hsu L, Huyghe JR, Moreno V, Newcomb PA, Ogino S, Phipps AI, Slattery ML, Thibodeau SN, Trinh QM, Toland AE, Hudson TJ, Sun W, Zaidi SH, Peters U. Association between germline variants and somatic mutations in colorectal cancer. Sci Rep 2022; 12:10207. [PMID: 35715570 PMCID: PMC9205954 DOI: 10.1038/s41598-022-14408-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 06/07/2022] [Indexed: 01/11/2023] Open
Abstract
Colorectal cancer (CRC) is a heterogeneous disease with evidence of distinct tumor types that develop through different somatically altered pathways. To better understand the impact of the host genome on somatically mutated genes and pathways, we assessed associations of germline variations with somatic events via two complementary approaches. We first analyzed the association between individual germline genetic variants and the presence of non-silent somatic mutations in genes in 1375 CRC cases with genome-wide SNPs data and a tumor sequencing panel targeting 205 genes. In the second analysis, we tested if germline variants located within previously identified regions of somatic allelic imbalance were associated with overall CRC risk using summary statistics from a recent large scale GWAS (n≃125 k CRC cases and controls). The first analysis revealed that a variant (rs78963230) located within a CNA region associated with TLR3 was also associated with a non-silent mutation within gene FBXW7. In the secondary analysis, the variant rs2302274 located in CDX1/PDGFRB frequently gained/lost in colorectal tumors was associated with overall CRC risk (OR = 0.96, p = 7.50e-7). In summary, we demonstrate that an integrative analysis of somatic and germline variation can lead to new insights about CRC.
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Affiliation(s)
- Richard Barfield
- grid.26009.3d0000 0004 1936 7961Department of Biostatistics and Bioinformatics, Duke University, 11028A Hock Plaza, 2424 Erwin Road Suite 1106, Durham, NC 27705 USA
| | - Conghui Qu
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Robert S. Steinfelder
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Chenjie Zeng
- grid.280128.10000 0001 2233 9230National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Tabitha A. Harrison
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Stefanie Brezina
- grid.22937.3d0000 0000 9259 8492Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Daniel D. Buchanan
- grid.1008.90000 0001 2179 088XColorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3010 Australia ,grid.1008.90000 0001 2179 088XUniversity of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC 3010 Australia ,grid.416153.40000 0004 0624 1200Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, VIC Australia
| | - Peter T. Campbell
- grid.251993.50000000121791997Department of Epidemiology and Population Science, Albert Einstein College of Medicine, Bronx, NY USA
| | - Graham Casey
- grid.27755.320000 0000 9136 933XCenter for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Steven Gallinger
- grid.250674.20000 0004 0626 6184Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, ON Canada
| | - Marios Giannakis
- grid.65499.370000 0001 2106 9910Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA USA ,grid.66859.340000 0004 0546 1623The Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Stephen B. Gruber
- grid.42505.360000 0001 2156 6853Department of Medical Oncology and Therapeuytic, University of Southern California, Los Angeles, CA USA
| | - Andrea Gsur
- grid.22937.3d0000 0000 9259 8492Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Li Hsu
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA ,grid.34477.330000000122986657Department of Biostatistics, University of Washington, Seattle, WA USA
| | - Jeroen R. Huyghe
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Victor Moreno
- grid.418701.b0000 0001 2097 8389Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain ,grid.466571.70000 0004 1756 6246CIBER Epidemiología Y Salud Pública (CIBERESP), Madrid, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain ,grid.418284.30000 0004 0427 2257ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Polly A. Newcomb
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA ,grid.34477.330000000122986657School of Public Health, University of Washington, Seattle, WA USA
| | - Shuji Ogino
- grid.66859.340000 0004 0546 1623The Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.38142.3c000000041936754XProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Amanda I. Phipps
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA ,Department of Epidemiology, Fred Hutchinson Cancer Research Center, University of Washington, 1100 Fairview Ave N, Mail Stop M4-B402, Seattle, WA 98109 USA
| | - Martha L. Slattery
- grid.223827.e0000 0001 2193 0096Department of Internal Medicine, University of Utah, Salt Lake City, UT USA
| | - Stephen N. Thibodeau
- grid.66875.3a0000 0004 0459 167XDivision of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
| | - Quang M. Trinh
- grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, ON Canada
| | - Amanda E. Toland
- grid.261331.40000 0001 2285 7943Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, OH USA
| | - Thomas J. Hudson
- grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, ON Canada
| | - Wei Sun
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA ,grid.34477.330000000122986657Department of Biostatistics, University of Washington, Seattle, WA USA ,grid.410711.20000 0001 1034 1720Department of Biostatistics, University of North Carolina, Chapel Hill, NC USA
| | - Syed H. Zaidi
- grid.419890.d0000 0004 0626 690XOntario Institute for Cancer Research, Toronto, ON Canada
| | - Ulrike Peters
- grid.270240.30000 0001 2180 1622Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA ,Department of Epidemiology, Fred Hutchinson Cancer Research Center, University of Washington, 1100 Fairview Ave N, Mail Stop M4-B402, Seattle, WA 98109 USA
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15
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Barfield R, Huyghe JR, Lemire M, Dong X, Su YR, Brezina S, Buchanan DD, Figueiredo JC, Gallinger S, Giannakis M, Gsur A, Gunter MJ, Hampel H, Harrison TA, Hopper JL, Hudson TJ, Li CI, Moreno V, Newcomb PA, Pai RK, Pharoah PDP, Phipps AI, Qu C, Steinfelder RS, Sun W, Win AK, Zaidi SH, Campbell PT, Peters U, Hsu L. Genetic Regulation of DNA Methylation Yields Novel Discoveries in GWAS of Colorectal Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:1068-1076. [PMID: 35247911 PMCID: PMC9081265 DOI: 10.1158/1055-9965.epi-21-0724] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 06/15/2021] [Revised: 10/05/2021] [Accepted: 02/23/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Colorectal cancer has a strong epigenetic component that is accompanied by frequent DNA methylation (DNAm) alterations in addition to heritable genetic risk. It is of interest to understand the interrelationship of germline genetics, DNAm, and colorectal cancer risk. METHODS We performed a genome-wide methylation quantitative trait locus (meQTL) analysis in 1,355 people, assessing the pairwise associations between genetic variants and lymphocytes methylation data. In addition, we used penalized regression with cis-genetic variants ± 1 Mb of methylation to identify genome-wide heritable DNAm. We evaluated the association of genetically predicted methylation with colorectal cancer risk based on genome-wide association studies (GWAS) of over 125,000 cases and controls using the multivariate sMiST as well as univariately via examination of marginal association with colorectal cancer risk. RESULTS Of the 142 known colorectal cancer GWAS loci, 47 were identified as meQTLs. We identified four novel colorectal cancer-associated loci (NID2, ATXN10, KLHDC10, and CEP41) that reside over 1 Mb outside of known colorectal cancer loci and 10 secondary signals within 1 Mb of known loci. CONCLUSIONS Leveraging information of DNAm regulation into genetic association of colorectal cancer risk reveals novel pathways in colorectal cancer tumorigenesis. Our summary statistics-based framework sMiST provides a powerful approach by combining information from the effect through methylation and residual direct effects of the meQTLs on disease risk. Further validation and functional follow-up of these novel pathways are needed. IMPACT Using genotype, DNAm, and GWAS, we identified four new colorectal cancer risk loci. We studied the landscape of genetic regulation of DNAm via single-SNP and multi-SNP meQTL analyses.
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Affiliation(s)
- Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University, Durham NC USA
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Mathieu Lemire
- Neurosciences & Mental Health Program, Hospital for Sick Children, Toronto, ON, Canada
| | - Xinyuan Dong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Yu-Ru Su
- Biostatistics Unit, Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria 3010 Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria 3010 Australia
- Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Marc J Gunter
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- School of Public Health, University of Washington, Seattle, Washington, USA
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Aung Ko Win
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Peter T Campbell
- Department of Population Science, American Cancer Society, Atlanta, Georgia, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
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16
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Fries CN, Chen JL, Dennis ML, Votaw NL, Eudailey J, Watts BE, Hainline KM, Cain DW, Barfield R, Chan C, Moody MA, Haynes BF, Saunders KO, Permar SR, Fouda GG, Collier JH. HIV envelope antigen valency on peptide nanofibers modulates antibody magnitude and binding breadth. Sci Rep 2021; 11:14494. [PMID: 34262096 PMCID: PMC8280189 DOI: 10.1038/s41598-021-93702-x] [Citation(s) in RCA: 3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 06/23/2021] [Indexed: 01/02/2023] Open
Abstract
A major challenge in developing an effective vaccine against HIV-1 is the genetic diversity of its viral envelope. Because of the broad range of sequences exhibited by HIV-1 strains, protective antibodies must be able to bind and neutralize a widely mutated viral envelope protein. No vaccine has yet been designed which induces broadly neutralizing or protective immune responses against HIV in humans. Nanomaterial-based vaccines have shown the ability to generate antibody and cellular immune responses of increased breadth and neutralization potency. Thus, we have developed supramolecular nanofiber-based immunogens bearing the HIV gp120 envelope glycoprotein. These immunogens generated antibody responses that had increased magnitude and binding breadth compared to soluble gp120. By varying gp120 density on nanofibers, we determined that increased antigen valency was associated with increased antibody magnitude and germinal center responses. This study presents a proof-of-concept for a nanofiber vaccine platform generating broad, high binding antibody responses against the HIV-1 envelope glycoprotein.
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Affiliation(s)
- Chelsea N Fries
- Department of Biomedical Engineering, Duke University, 101 Science Dr., Campus, Box 90281, Durham, NC, 27708, USA
| | - Jui-Lin Chen
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, 27710, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Maria L Dennis
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Nicole L Votaw
- Department of Biomedical Engineering, Duke University, 101 Science Dr., Campus, Box 90281, Durham, NC, 27708, USA
| | - Joshua Eudailey
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Brian E Watts
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Kelly M Hainline
- Department of Biomedical Engineering, Duke University, 101 Science Dr., Campus, Box 90281, Durham, NC, 27708, USA
| | - Derek W Cain
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - M Anthony Moody
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
- Department of Pediatrics, Duke University Medical Center, Duke University School of Medicine, Box 103020, Durham, NC, 27710, USA
- Department of Immunology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Barton F Haynes
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
- Department of Immunology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Kevin O Saunders
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, 27710, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
- Department of Immunology, Duke University School of Medicine, Durham, NC, 27710, USA
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Sallie R Permar
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, 27710, USA
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA
- Department of Pediatrics, Duke University Medical Center, Duke University School of Medicine, Box 103020, Durham, NC, 27710, USA
- Department of Immunology, Duke University School of Medicine, Durham, NC, 27710, USA
- Department of Pediatrics, New York-Presbyterian/Weill Cornell Medicine, New York, NY, 10065, USA
| | - Genevieve G Fouda
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, 27710, USA.
- Duke Human Vaccine Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
- Department of Pediatrics, Duke University Medical Center, Duke University School of Medicine, Box 103020, Durham, NC, 27710, USA.
| | - Joel H Collier
- Department of Biomedical Engineering, Duke University, 101 Science Dr., Campus, Box 90281, Durham, NC, 27708, USA.
- Department of Immunology, Duke University School of Medicine, Durham, NC, 27710, USA.
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17
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Huyghe JR, Harrison TA, Bien SA, Hampel H, Figueiredo JC, Schmit SL, Conti DV, Chen S, Qu C, Lin Y, Barfield R, Baron JA, Cross AJ, Diergaarde B, Duggan D, Harlid S, Imaz L, Kang HM, Levine DM, Perduca V, Perez-Cornago A, Sakoda LC, Schumacher FR, Slattery ML, Toland AE, van Duijnhoven FJB, Van Guelpen B, Agudo A, Albanes D, Alonso MH, Anderson K, Arnau-Collell C, Arndt V, Banbury BL, Bassik MC, Berndt SI, Bézieau S, Bishop DT, Boehm J, Boeing H, Boutron-Ruault MC, Brenner H, Brezina S, Buch S, Buchanan DD, Burnett-Hartman A, Caan BJ, Campbell PT, Carr PR, Castells A, Castellví-Bel S, Chan AT, Chang-Claude J, Chanock SJ, Curtis KR, de la Chapelle A, Easton DF, English DR, Feskens EJM, Gala M, Gallinger SJ, Gauderman WJ, Giles GG, Goodman PJ, Grady WM, Grove JS, Gsur A, Gunter MJ, Haile RW, Hampe J, Hoffmeister M, Hopper JL, Hsu WL, Huang WY, Hudson TJ, Jenab M, Jenkins MA, Joshi AD, Keku TO, Kooperberg C, Kühn T, Küry S, Le Marchand L, Lejbkowicz F, Li CI, Li L, Lieb W, Lindblom A, Lindor NM, Männistö S, Markowitz SD, Milne RL, Moreno L, Murphy N, Nassir R, Offit K, Ogino S, Panico S, Parfrey PS, Pearlman R, Pharoah PDP, Phipps AI, Platz EA, Potter JD, Prentice RL, Qi L, Raskin L, Rennert G, Rennert HS, Riboli E, Schafmayer C, Schoen RE, Seminara D, Song M, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Trichopoulou A, Ulrich CM, Visvanathan K, Vodicka P, Vodickova L, Vymetalkova V, Weigl K, Weinstein SJ, White E, Wolk A, Woods MO, Wu AH, Abecasis GR, Nickerson DA, Scacheri PC, Kundaje A, Casey G, Gruber SB, Hsu L, Moreno V, Hayes RB, Newcomb PA, Peters U. Genetic architectures of proximal and distal colorectal cancer are partly distinct. Gut 2021; 70:1325-1334. [PMID: 33632709 PMCID: PMC8223655 DOI: 10.1136/gutjnl-2020-321534] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 11/26/2020] [Accepted: 12/18/2020] [Indexed: 01/14/2023]
Abstract
OBJECTIVE An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
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Affiliation(s)
- Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Jane C Figueiredo
- Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - David V Conti
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Sai Chen
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Richard Barfield
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - John A Baron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA
| | - David Duggan
- Translational Genomics Research Institute - An Affiliate of City of Hope, Phoenix, Arizona, USA
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Liher Imaz
- Public Health Division of Gipuzkoa, Health Department of Basque Country, San Sebastian, Spain
| | - Hyun Min Kang
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - David M Levine
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Vittorio Perduca
- Laboratoire de Mathématiques Appliquées MAP5 (UMR CNRS 8145), Université Paris Descartes, Paris, France
- Centre for Research in Epidemiology and Population Health (CESP), Institut pour la Santé et la Recherche Médicale (INSERM) U1018, Université Paris-Saclay, Villejuif, France
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Fredrick R Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah Health, Salt Lake City, Utah, USA
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, The Ohio State University, Columbus, Ohio, USA
| | | | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - M Henar Alonso
- Cancer Prevention and Control Program, Catalan Institute of Oncology - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Kristin Anderson
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Coral Arnau-Collell
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Barbara L Banbury
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University, Stanford, California, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) de Nantes, Nantes, France
| | - D Timothy Bishop
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Juergen Boehm
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - Marie-Christine Boutron-Ruault
- Centre for Research in Epidemiology and Population Health (CESP), Institut pour la Santé et la Recherche Médicale (INSERM) U1018, Université Paris-Saclay, Villejuif, France
- Institut Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Centre (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Stephan Buch
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Daniel D Buchanan
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Colorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Clinical Pathology, The University of Melbourne, Melbourne, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | | | - Bette J Caan
- Division of Research, Kaiser Permanente Medical Care Program, Oakland, California, USA
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, USA
| | - Prudence R Carr
- Division of Clinical Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Antoni Castells
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Keith R Curtis
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Albert de la Chapelle
- Department of Cancer Biology and Genetics and the Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Douglas F Easton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dallas R English
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Edith J M Feskens
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - Manish Gala
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Steven J Gallinger
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - W James Gauderman
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Medicine, University of Washington School of Medicine, Seattle, Washington, USA
| | - John S Grove
- University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Robert W Haile
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Wan-Ling Hsu
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Thomas J Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Mazda Jenab
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Tilman Kühn
- Division of Cancer Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
| | - Sébastien Küry
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) de Nantes, Nantes, France
| | | | - Flavio Lejbkowicz
- The Clalit Health Services, Personalized Genomic Service, Carmel Medical Center, Haifa, Israel
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Christopher I Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Wolfgang Lieb
- Institute of Epidemiology, PopGen Biobank, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Noralane M Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, Arizona, USA
| | - Satu Männistö
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Sanford D Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio, USA
| | - Roger L Milne
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Lorena Moreno
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of Barcelona, Barcelona, Spain
| | - Neil Murphy
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Rami Nassir
- Department of Pathology, School of Medicine, Umm Al-Qura'a University, Mecca, Saudi Arabia
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, University of Naples Federico II, Naples, Italy
| | - Patrick S Parfrey
- Clinical Epidemiology Unit, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Newfoundland, Canada
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Ross L Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Lihong Qi
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, California, USA
| | - Leon Raskin
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Hedy S Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Clemens Schafmayer
- Department of General Surgery, University Hospital Rostock, Rostock, Germany
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Daniela Seminara
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland, USA
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, MayoClinic, Rochester, Minnesota, USA
| | - Duncan C Thomas
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Cornelia M Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Korbinian Weigl
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty, University of Heidelberg, Heidelberg, Germany
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Michael O Woods
- Discipline of Genetics, Memorial University of Newfoundland, St. John's, Newfoundland, Canada
| | - Anna H Wu
- Department of Preventive Medicine and USC Norris Comprehensive Cancer Center, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA
| | - Goncalo R Abecasis
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Peter C Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine, Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, California, USA
- Department of Computer Science, Stanford University, Stanford, California, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, USA
| | - Stephen B Gruber
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, University of Southern California Keck School of Medicine, Los Angeles, California, USA
- City of Hope National Medical Center, Duarte, California, USA
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Victor Moreno
- Cancer Prevention and Control Program, Catalan Institute of Oncology - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Richard B Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York, USA
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
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18
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Liu Z, Shen J, Barfield R, Schwartz J, Baccarelli AA, Lin X. Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies. J Am Stat Assoc 2021; 117:67-81. [PMID: 35989709 PMCID: PMC9385159 DOI: 10.1080/01621459.2021.1914634] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 04/04/2021] [Accepted: 04/04/2021] [Indexed: 01/03/2023]
Abstract
In genome-wide epigenetic studies, it is of great scientific interest to assess whether the effect of an exposure on a clinical outcome is mediated through DNA methylations. However, statistical inference for causal mediation effects is challenged by the fact that one needs to test a large number of composite null hypotheses across the whole epigenome. Two popular tests, the Wald-type Sobel's test and the joint significant test using the traditional null distribution are underpowered and thus can miss important scientific discoveries. In this paper, we show that the null distribution of Sobel's test is not the standard normal distribution and the null distribution of the joint significant test is not uniform under the composite null of no mediation effect, especially in finite samples and under the singular point null case that the exposure has no effect on the mediator and the mediator has no effect on the outcome. Our results explain why these two tests are underpowered, and more importantly motivate us to develop a more powerful Divide-Aggregate Composite-null Test (DACT) for the composite null hypothesis of no mediation effect by leveraging epigenome-wide data. We adopted Efron's empirical null framework for assessing statistical significance of the DACT test. We showed analytically that the proposed DACT method had improved power, and could well control type I error rate. Our extensive simulation studies showed that, in finite samples, the DACT method properly controlled the type I error rate and outperformed Sobel's test and the joint significance test for detecting mediation effects. We applied the DACT method to the US Department of Veterans Affairs Normative Aging Study, an ongoing prospective cohort study which included men who were aged 21 to 80 years at entry. We identified multiple DNA methylation CpG sites that might mediate the effect of smoking on lung function with effect sizes ranging from -0.18 to -0.79 and false discovery rate controlled at level 0.05, including the CpG sites in the genes AHRR and F2RL3. Our sensitivity analysis found small residual correlations (less than 0.01) of the error terms between the outcome and mediator regressions, suggesting that our results are robust to unmeasured confounding factors.
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Affiliation(s)
- Zhonghua Liu
- Department of Statistics and Actuarial Science, University of Hong Kong
| | - Jincheng Shen
- Department of Population Health Sciences, University of Utah School of Medicine
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine
| | - Joel Schwartz
- Environmental Epidemiology, Harvard T.H. Chan School of Public Health
| | - Andrea A. Baccarelli
- Environmental Health Sciences, Mailman School of Public Health, Columbia University
| | - Xihong Lin
- Biostatistics at Harvard T.H. Chan School of Public Health and Statistics at Faculty of Arts and Sciences, Harvard University
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19
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DuBruille G, Straw L, Mardis C, Scalese M, Barfield R, McCann P, Napier R, Mardis A. Optimizing Utilization of SGLT2 Inhibitors in an Outpatient LVAD Population. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.1247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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20
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Guptill JT, Barfield R, Chan C, Russo MA, Emmett D, Raja S, Massey JM, Juel VC, Hobson-Webb LD, Gable KL, Gonzalez N, Hammett A, Howard JF, Chopra M, Kaminski HJ, Siddiqi ZA, Migdal M, Yi JS. Reduced plasmablast frequency is associated with seronegative myasthenia gravis. Muscle Nerve 2020; 63:577-585. [PMID: 33294984 DOI: 10.1002/mus.27140] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 12/01/2020] [Accepted: 12/06/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The immunopathology of autoimmune seronegative myasthenia gravis (SN MG) is poorly understood. Our objective was to determine immune profiles associated with a diagnosis of SN MG. METHODS We performed high-dimensional flow cytometry on blood samples from SN MG patients (N = 68), healthy controls (N = 46), and acetylcholine receptor antibody (AChR+) MG patients (N = 27). We compared 12 immune cell subsets in SN MG to controls using logistic modeling via a discovery-replication design. An exploratory analysis fit a multinomial model comparing AChR+ MG and controls to SN MG. RESULTS An increase in CD19+ CD20- CD38hi plasmablast frequencies was associated with lower odds of being a SN MG case in both the discovery and replication analyses (discovery P-value = .0003, replication P-value = .0021). Interleukin (IL) -21 producing helper T cell frequencies were associated with a diagnosis of AChR+ MG (P = .004). CONCLUSIONS Reduced plasmablast frequencies are strongly associated with a SN MG diagnosis and may be a useful diagnostic biomarker in the future.
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Affiliation(s)
- Jeffrey T Guptill
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA.,Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Richard Barfield
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
| | - Cliburn Chan
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
| | - Melissa A Russo
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Doug Emmett
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Shruti Raja
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Janice M Massey
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Vern C Juel
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Lisa D Hobson-Webb
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Karissa L Gable
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Natalia Gonzalez
- Neuromuscular Division, Department of Neurology, Duke University Medical Center, Durham, North Carolina, USA
| | - Alex Hammett
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | - James F Howard
- Neuromuscular Disorders Section, Department of Neurology, The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Manisha Chopra
- Neuromuscular Disorders Section, Department of Neurology, The University of North Carolina, Chapel Hill, North Carolina, USA
| | - Henry J Kaminski
- Department of Neurology, George Washington University, Washington, District of Columbia, USA
| | - Zaeem A Siddiqi
- Division of Neurology, University of Alberta, Edmonton, Alberta, Canada
| | - Mattingly Migdal
- The University of North Carolina, Chapel Hill, North Carolina, USA
| | - John S Yi
- Division of Surgical Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
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21
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Hidaka A, Harrison TA, Cao Y, Sakoda LC, Barfield R, Giannakis M, Song M, Phipps AI, Figueiredo JC, Zaidi SH, Toland AE, Amitay EL, Berndt SI, Borozan I, Chan AT, Gallinger S, Gunter MJ, Guinter MA, Harlid S, Hampel H, Jenkins MA, Lin Y, Moreno V, Newcomb PA, Nishihara R, Ogino S, Obón-Santacana M, Parfrey PS, Potter JD, Slattery ML, Steinfelder RS, Um CY, Wang X, Woods MO, Van Guelpen B, Thibodeau SN, Hoffmeister M, Sun W, Hsu L, Buchanan DD, Campbell PT, Peters U. Intake of Dietary Fruit, Vegetables, and Fiber and Risk of Colorectal Cancer According to Molecular Subtypes: A Pooled Analysis of 9 Studies. Cancer Res 2020; 80:4578-4590. [PMID: 32816852 PMCID: PMC7572895 DOI: 10.1158/0008-5472.can-20-0168] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/12/2020] [Accepted: 07/31/2020] [Indexed: 12/13/2022]
Abstract
Protective associations of fruits, vegetables, and fiber intake with colorectal cancer risk have been shown in many, but not all epidemiologic studies. One possible reason for study heterogeneity is that dietary factors may have distinct effects by colorectal cancer molecular subtypes. Here, we investigate the association of fruit, vegetables, and fiber intake with four well-established colorectal cancer molecular subtypes separately and in combination. Nine observational studies including 9,592 cases with molecular subtypes for microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and somatic mutations in BRAF and KRAS genes, and 7,869 controls were analyzed. Both case-only logistic regression analyses and polytomous logistic regression analyses (with one control set and multiple case groups) were used. Higher fruit intake was associated with a trend toward decreased risk of BRAF-mutated tumors [OR 4th vs. 1st quartile = 0.82 (95% confidence interval, 0.65-1.04)] but not BRAF-wildtype tumors [1.09 (0.97-1.22); P difference as shown in case-only analysis = 0.02]. This difference was observed in case-control studies and not in cohort studies. Compared with controls, higher fiber intake showed negative association with colorectal cancer risk for cases with microsatellite stable/MSI-low, CIMP-negative, BRAF-wildtype, and KRAS-wildtype tumors (P trend range from 0.03 to 3.4e-03), which is consistent with the traditional adenoma-colorectal cancer pathway. These negative associations were stronger compared with MSI-high, CIMP-positive, BRAF-mutated, or KRAS-mutated tumors, but the differences were not statistically significant. These inverse associations for fruit and fiber intake may explain, in part, inconsistent findings between fruit or fiber intake and colorectal cancer risk that have previously been reported. SIGNIFICANCE: These analyses by colorectal cancer molecular subtypes potentially explain the inconsistent findings between dietary fruit or fiber intake and overall colorectal cancer risk that have previously been reported.
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Affiliation(s)
- Akihisa Hidaka
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri
- Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri
- Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Lori C Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Richard Barfield
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mingyang Song
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Syed H Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Amanda E Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Efrat L Amitay
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Ivan Borozan
- Ontario Institute for Cancer Research, Toronto, Canada
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Marc J Gunter
- Nutrition and Metabolism Section, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Mark A Guinter
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Sophia Harlid
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
| | - Heather Hampel
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Polly A Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- School of Public Health, University of Washington, Seattle, Washington
| | - Reiko Nishihara
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Shuji Ogino
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Mireia Obón-Santacana
- Oncology Data Analytics Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- ONCOBEL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | | | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Martha L Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Robert S Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Caroline Y Um
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Xiaoliang Wang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Stephen N Thibodeau
- Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wei Sun
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Daniel D Buchanan
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Victoria, Australia
| | - Peter T Campbell
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
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22
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Dong X, Su YR, Barfield R, Bien SA, He Q, Harrison TA, Huyghe JR, Keku TO, Lindor NM, Schafmayer C, Chan AT, Gruber SB, Jenkins MA, Kooperberg C, Peters U, Hsu L. A general framework for functionally informed set-based analysis: Application to a large-scale colorectal cancer study. PLoS Genet 2020; 16:e1008947. [PMID: 32833970 PMCID: PMC7470748 DOI: 10.1371/journal.pgen.1008947] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 11/18/2019] [Revised: 09/03/2020] [Accepted: 06/22/2020] [Indexed: 11/18/2022] Open
Abstract
Genome-wide association studies (GWAS) have successfully identified tens of thousands of genetic variants associated with various phenotypes, but together they explain only a fraction of heritability, suggesting many variants have yet to be discovered. Recently it has been recognized that incorporating functional information of genetic variants can improve power for identifying novel loci. For example, S-PrediXcan and TWAS tested the association of predicted gene expression with phenotypes based on GWAS summary statistics by leveraging the information on genetic regulation of gene expression and found many novel loci. However, as genetic variants may have effects on more than one gene and through different mechanisms, these methods likely only capture part of the total effects of these variants. In this paper, we propose a summary statistics-based mixed effects score test (sMiST) that tests for the total effect of both the effect of the mediator by imputing genetically predicted gene expression, like S-PrediXcan and TWAS, and the direct effects of individual variants. It allows for multiple functional annotations and multiple genetically predicted mediators. It can also perform conditional association analysis while adjusting for other genetic variants (e.g., known loci for the phenotype). Extensive simulation and real data analyses demonstrate that sMiST yields p-values that agree well with those obtained from individual level data but with substantively improved computational speed. Importantly, a broad application of sMiST to GWAS is possible, as only summary statistics of genetic variant associations are required. We apply sMiST to a large-scale GWAS of colorectal cancer using summary statistics from ∼120, 000 study participants and gene expression data from the Genotype-Tissue Expression (GTEx) project. We identify several novel and secondary independent genetic loci.
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Affiliation(s)
- Xinyuan Dong
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Yu-Ru Su
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Richard Barfield
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephanie A. Bien
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Qianchuan He
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tabitha A. Harrison
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeroen R. Huyghe
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Temitope O. Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Noralane M. Lindor
- Department of Health Science Research, Mayo Clinic, Scottsdale, Arizona, USA
| | - Clemens Schafmayer
- Department of General Surgery, University Hospital Rostock, Rostock, Germany
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Stephen B. Gruber
- City of Hope National Medical Center, Duarte, and Department of Preventive Medicine & USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Ulrike Peters
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Li Hsu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
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Barfield R, Wang H, Liu Y, Brody JA, Swenson B, Li R, Bartz TM, Sotoodehnia N, Chen YDI, Cade BE, Chen H, Patel SR, Zhu X, Gharib SA, Johnson WC, Rotter JI, Saxena R, Purcell S, Lin X, Redline S, Sofer T. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations. Sleep 2019; 42:zsz101. [PMID: 31139831 PMCID: PMC6685317 DOI: 10.1093/sleep/zsz101] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Revised: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
STUDY OBJECTIVES Daytime sleepiness is a consequence of inadequate sleep, sleep-wake control disorder, or other medical conditions. Population variability in prevalence of daytime sleepiness is likely due to genetic and biological factors as well as social and environmental influences. DNA methylation (DNAm) potentially influences multiple health outcomes. Here, we explored the association between DNAm and daytime sleepiness quantified by the Epworth Sleepiness Scale (ESS). METHODS We performed multi-ethnic and ethnic-specific epigenome-wide association studies for DNAm and ESS in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 619) and the Cardiovascular Health Study (n = 483), with cross-study replication and meta-analysis. Genetic variants near ESS-associated DNAm were analyzed for methylation quantitative trait loci and followed with replication of genotype-sleepiness associations in the UK Biobank. RESULTS In MESA only, we detected four DNAm-ESS associations: one across all race/ethnic groups; three in African-Americans (AA) only. Two of the MESA AA associations, in genes KCTD5 and RXRA, nominally replicated in CHS (p-value < 0.05). In the AA meta-analysis, we detected 14 DNAm-ESS associations (FDR q-value < 0.05, top association p-value = 4.26 × 10-8). Three DNAm sites mapped to genes (CPLX3, GFAP, and C7orf50) with biological relevance. We also found evidence for associations with DNAm sites in RAI1, a gene associated with sleep and circadian phenotypes. UK Biobank follow-up analyses detected SNPs in RAI1, RXRA, and CPLX3 with nominal sleepiness associations. CONCLUSIONS We identified methylation sites in multiple genes possibly implicated in daytime sleepiness. Most significant DNAm-ESS associations were specific to AA. Future work is needed to identify mechanisms driving ancestry-specific methylation effects.
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Affiliation(s)
- Richard Barfield
- Department of Epidemiology, University of Washington, Seattle, WA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Heming Wang
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Brenton Swenson
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Institute for Public Health Genetics, University of Washington, Seattle, WA
| | - Ruitong Li
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Institute for Public Health Genetics, University of Washington, Seattle, WA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Yii-der I Chen
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Brian E Cade
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
| | - Han Chen
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX
| | - Sanjay R Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, University of Washington Medicine Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington, Seattle, WA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA
| | - Shaun Purcell
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
- Department of Psychiatry, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA
| | - Xihong Lin
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
- Department of Statistics, Harvard University, Cambridge, MA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA
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24
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Cade BE, Chen H, Stilp AM, Louie T, Ancoli-Israel S, Arens R, Barfield R, Below JE, Cai J, Conomos MP, Evans DS, Frazier-Wood AC, Gharib SA, Gleason KJ, Gottlieb DJ, Hillman DR, Johnson WC, Lederer DJ, Lee J, Loredo JS, Mei H, Mukherjee S, Patel SR, Post WS, Purcell SM, Ramos AR, Reid KJ, Rice K, Shah NA, Sofer T, Taylor KD, Thornton TA, Wang H, Yaffe K, Zee PC, Hanis CL, Palmer LJ, Rotter JI, Stone KL, Tranah GJ, Wilson JG, Sunyaev SR, Laurie CC, Zhu X, Saxena R, Lin X, Redline S. Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep. PLoS Genet 2019; 15:e1007739. [PMID: 30990817 PMCID: PMC6467367 DOI: 10.1371/journal.pgen.1007739] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [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: 04/17/2018] [Accepted: 10/03/2018] [Indexed: 12/12/2022] Open
Abstract
Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.
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Affiliation(s)
- Brian E. Cade
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX United States of America
- Center for Precision Health, School of Public Health and School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, CA, United States of America
| | - Raanan Arens
- The Children’s Hospital at Montefiore, Division of Respiratory and Sleep Medicine, Albert Einstein College of Medicine, Bronx, NY, United States of America
| | - Richard Barfield
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jennifer E. Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States of America
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Alexis C. Frazier-Wood
- USDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States of America
| | - Sina A. Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle WA, United States of America
| | - Kevin J. Gleason
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States of America
| | - Daniel J. Gottlieb
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- VA Boston Healthcare System, Boston, MA, United States of America
| | - David R. Hillman
- Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - David J. Lederer
- Departments of Medicine and Epidemiology, Columbia University, New York, NY, United States of America
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Jose S. Loredo
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Medicine, UC San Diego School of Medicine, La Jolla, CA, United States of America
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Sutapa Mukherjee
- Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, South Australia
- Adelaide Institute for Sleep Health, Flinders University, Adelaide, South Australia
| | - Sanjay R. Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University, Baltimore, MD, United States of America
| | - Shaun M. Purcell
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Kathryn J. Reid
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Ken Rice
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Neomi A. Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Timothy A. Thornton
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
| | - Kristine Yaffe
- Department of Psychiatry, Neurology, and Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA, United States of America
- San Francisco VA Medical Center, San Francisco, CA, United States of America
| | - Phyllis C. Zee
- Department of Neurology, Center for Circadian and Sleep Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America
| | - Craig L. Hanis
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX United States of America
| | - Lyle J. Palmer
- School of Public Health, University of Adelaide, South Australia, Australia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson MS, United States of America
| | - Shamil R. Sunyaev
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, United States of America
- Division of Medical Sciences, Harvard Medical School, Boston, MA, United States of America
| | - Cathy C. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA United States of America
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States of America
| | - Richa Saxena
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, United States of America
- Center for Genomic Medicine and Department of Anesthesia, Pain, and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, United States of America
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States of America
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
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25
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Barfield R, Feng H, Gusev A, Wu L, Zheng W, Pasaniuc B, Kraft P. Transcriptome-wide association studies accounting for colocalization using Egger regression. Genet Epidemiol 2018; 42:418-433. [PMID: 29808603 PMCID: PMC6342197 DOI: 10.1002/gepi.22131] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [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: 11/04/2017] [Revised: 03/31/2018] [Accepted: 04/30/2018] [Indexed: 12/23/2022]
Abstract
Integrating genome-wide association (GWAS) and expression quantitative trait locus (eQTL) data into transcriptome-wide association studies (TWAS) based on predicted expression can boost power to detect novel disease loci or pinpoint the susceptibility gene at a known disease locus. However, it is often the case that multiple eQTL genes colocalize at disease loci, making the identification of the true susceptibility gene challenging, due to confounding through linkage disequilibrium (LD). To distinguish between true susceptibility genes (where the genetic effect on phenotype is mediated through expression) and colocalization due to LD, we examine an extension of the Mendelian randomization (MR) egger regression method that allows for LD while only requiring summary association data for both GWAS and eQTL. We derive the standard TWAS approach in the context of MR and show in simulations that the standard TWAS does not control type I error for causal gene identification when eQTLs have pleiotropic or LD-confounded effects on disease. In contrast, LD-aware MR-Egger (LDA MR-Egger) regression can control type I error in this case while attaining similar power as other methods in situations where these provide valid tests. However, when the direct effects of genetic variants on traits are correlated with the eQTL associations, all of the methods we examined including LDA MR-Egger regression can have inflated type I error. We illustrate these methods by integrating gene expression within a recent large-scale breast cancer GWAS to provide guidance on susceptibility gene identification.
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Affiliation(s)
- Richard Barfield
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Helian Feng
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Alexander Gusev
- Division of Population Sciences, Dana-Farber Cancer Institute, Boston, Massachusetts
- Division of Genetics, Brigham and Women's Hospital, Boston, Massachusetts
| | - Lang Wu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Bogdan Pasaniuc
- Department of Pathology & Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, California
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, California
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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26
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Barfield R, Shen J, Just AC, Vokonas PS, Schwartz J, Baccarelli AA, VanderWeele TJ, Lin X. Testing for the indirect effect under the null for genome-wide mediation analyses. Genet Epidemiol 2017; 41:824-833. [PMID: 29082545 DOI: 10.1002/gepi.22084] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 08/02/2017] [Accepted: 08/30/2017] [Indexed: 01/07/2023]
Abstract
Mediation analysis helps researchers assess whether part or all of an exposure's effect on an outcome is due to an intermediate variable. The indirect effect can help in designing interventions on the mediator as opposed to the exposure and better understanding the outcome's mechanisms. Mediation analysis has seen increased use in genome-wide epidemiological studies to test for an exposure of interest being mediated through a genomic measure such as gene expression or DNA methylation (DNAm). Testing for the indirect effect is challenged by the fact that the null hypothesis is composite. We examined the performance of commonly used mediation testing methods for the indirect effect in genome-wide mediation studies. When there is no association between the exposure and the mediator and no association between the mediator and the outcome, we show that these common tests are overly conservative. This is a case that will arise frequently in genome-wide mediation studies. Caution is hence needed when applying the commonly used mediation tests in genome-wide mediation studies. We evaluated the performance of these methods using simulation studies, and performed an epigenome-wide mediation association study in the Normative Aging Study, analyzing DNAm as a mediator of the effect of pack-years on FEV1 .
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Affiliation(s)
- Richard Barfield
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Jincheng Shen
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Allan C Just
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York City, New York, United States of America
| | - Pantel S Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System, The Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Joel Schwartz
- Departments of Environmental Health and Program in Quantitative Genomics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Andrea A Baccarelli
- Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York City, New York, United States of America
| | - Tyler J VanderWeele
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.,Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America
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27
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Krier J, Barfield R, Green RC, Kraft P. Reclassification of genetic-based risk predictions as GWAS data accumulate. Genome Med 2016; 8:20. [PMID: 26884246 PMCID: PMC4756503 DOI: 10.1186/s13073-016-0272-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 01/25/2016] [Indexed: 12/21/2022] Open
Abstract
Background Disease risk assessments based on common genetic variation have gained widespread attention and use in recent years. The clinical utility of genetic risk profiles depends on the number and effect size of identified loci, and how stable the predicted risks are as additional loci are discovered. Changes in risk classification for individuals over time would undermine the validity of common genetic variation for risk prediction. In this analysis, we quantified reclassification of genetic risk based on past and anticipated future GWAS data. Methods We identified disease-associated SNPs via the NHGRI GWAS catalog and recent large scale genome-wide association study (GWAS). We calculated the genomic risk for a simulated cohort of 100,000 individuals based on a multiplicative odds ratio model using cumulative GWAS-identified SNPs at four time points: 2007, 2009, 2011, and 2013. Individuals were classified as Higher Risk (population adjusted odds >2), Average Risk (between 0.5 and 2), and Lower Risk (<0.5) for each time point and we compared classifications between time points for breast cancer (BrCa), prostate cancer (PrCa), diabetes mellitus type 2 (T2D), and cardiovascular heart disease (CHD). We estimated future reclassification using the anticipated number of undiscovered SNPs. Results Risk reclassification occurred for all four phenotypes from 2007 to 2013. During the most recent interval (2011-2013), the degree of risk reclassification ranged from 16.3 % for CHD to 24.4 % for PrCa. Many individuals classified as Higher Risk at earlier time points were subsequently reclassified into a lower risk category. From 2011 to 2013, the degree of such downward risk reclassification ranged from 24.9 % for T2D to 55 % for CHD. The percent of individuals classified as Higher Risk increased as more SNPs were discovered, ranging from an increase of 5 % for CHD to 9 % for PrCa from 2007 to 2013. Reclassification continued to occur when we modeled the discovery of anticipated SNPs based on doubling current sample size. Conclusion Risk estimates from common genetic variation show large reclassification rates. Identifying disease-associated SNPs facilitates the clinically relevant task of identifying higher-risk individuals. However, the large amount of reclassification that we demonstrated in individuals initially classified as Higher Risk but later as Average Risk or Lower Risk, suggests that caution is currently warranted in basing clinical decisions on common genetic variation for many complex diseases. Electronic supplementary material The online version of this article (doi:10.1186/s13073-016-0272-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Joel Krier
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. .,Harvard Medical School, Boston, MA, USA.
| | - Richard Barfield
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Robert C Green
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. .,Harvard Medical School, Boston, MA, USA. .,Partners Personalized Medicine, Cambridge, MA, USA. .,Broad Institute, Cambridge, MA, USA.
| | - Peter Kraft
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. .,Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Wolpin BM, Rizzato C, Kraft P, Kooperberg C, Petersen GM, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Buring J, Canzian F, Duell EJ, Gallinger S, Giles GG, Goodman GE, Goodman PJ, Jacobs EJ, Kamineni A, Klein AP, Kolonel LN, Kulke MH, Li D, Malats N, Olson SH, Risch HA, Sesso HD, Visvanathan K, White E, Zheng W, Abnet CC, Albanes D, Andreotti G, Austin MA, Barfield R, Basso D, Berndt SI, Boutron-Ruault MC, Brotzman M, Büchler MW, Bueno-de-Mesquita HB, Bugert P, Burdette L, Campa D, Caporaso NE, Capurso G, Chung C, Cotterchio M, Costello E, Elena J, Funel N, Gaziano JM, Giese NA, Giovannucci EL, Goggins M, Gorman MJ, Gross M, Haiman CA, Hassan M, Helzlsouer KJ, Henderson BE, Holly EA, Hu N, Hunter DJ, Innocenti F, Jenab M, Kaaks R, Key TJ, Khaw KT, Klein EA, Kogevinas M, Krogh V, Kupcinskas J, Kurtz RC, LaCroix A, Landi MT, Landi S, Le Marchand L, Mambrini A, Mannisto S, Milne RL, Nakamura Y, Oberg AL, Owzar K, Patel AV, Peeters PHM, Peters U, Pezzilli R, Piepoli A, Porta M, Real FX, Riboli E, Rothman N, Scarpa A, Shu XO, Silverman DT, Soucek P, Sund M, Talar-Wojnarowska R, Taylor PR, Theodoropoulos GE, Thornquist M, Tjønneland A, Tobias GS, Trichopoulos D, Vodicka P, Wactawski-Wende J, Wentzensen N, Wu C, Yu H, Yu K, Zeleniuch-Jacquotte A, Hoover R, Hartge P, Fuchs C, Chanock SJ, Stolzenberg-Solomon RS, Amundadottir LT. Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer. Nat Genet 2014; 46:994-1000. [PMID: 25086665 PMCID: PMC4191666 DOI: 10.1038/ng.3052] [Citation(s) in RCA: 242] [Impact Index Per Article: 24.2] [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: 02/26/2014] [Accepted: 07/10/2014] [Indexed: 02/06/2023]
Abstract
We performed a multistage genome-wide association study including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT, per-allele odds ratio (OR) = 0.79, 95% confidence interval (CI) 0.74-0.84, P = 3.0 × 10(-12)), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2, OR = 1.46, 95% CI 1.30-1.65, P = 1.1 × 10(-10)), rs9581943 at 13q12.2 (PDX1, OR = 1.15, 95% CI 1.10-1.20, P = 2.4 × 10(-9)) and rs16986825 at 22q12.1 (ZNRF3, OR = 1.18, 95% CI 1.12-1.25, P = 1.2 × 10(-8)). We identified an independent signal in exon 2 of TERT at the established region 5p15.33 (rs2736098, OR = 0.80, 95% CI 0.76-0.85, P = 9.8 × 10(-14)). We also identified a locus at 8q24.21 (rs1561927, P = 1.3 × 10(-7)) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies.
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Affiliation(s)
- Brian M Wolpin
- 1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. [2] Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3]
| | - Cosmeri Rizzato
- 1] Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany. [2]
| | - Peter Kraft
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA. [3]
| | - Charles Kooperberg
- 1] Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. [2]
| | - Gloria M Petersen
- 1] Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA. [2]
| | - Zhaoming Wang
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2] Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Alan A Arslan
- 1] Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York, USA. [2] Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA. [3] New York University Cancer Institute, New York, New York, USA
| | - Laura Beane-Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Julie Buring
- 1] Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [2] Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eric J Duell
- Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Steven Gallinger
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Graham G Giles
- 1] Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia. [2] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia. [3] Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Gary E Goodman
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Phyllis J Goodman
- Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Eric J Jacobs
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Aruna Kamineni
- Group Health Research Institute, Seattle, Washington, USA
| | - Alison P Klein
- 1] Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2] Department of Epidemiology, Bloomberg School of Public Health, Baltimore, Maryland, USA
| | | | - Matthew H Kulke
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, CNIO-Spanish National Cancer Research Centre, Madrid, Spain
| | - Sara H Olson
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Harvey A Risch
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Howard D Sesso
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3] Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Emily White
- 1] Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. [2] Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Wei Zheng
- 1] Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. [2] Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Melissa A Austin
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Richard Barfield
- Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Daniela Basso
- Department of Laboratory Medicine, University Hospital of Padova, Padua, Italy
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Marie-Christine Boutron-Ruault
- 1] INSERM, Centre for Research in Epidemiology and Population Health (CESP), Nutrition, Hormones and Women's Health Team, Villejuif, France. [2] University Paris Sud, UMRS 1018, Villejuif, France. [3] Institut Gustave Roussy (IGR), Villejuif, France
| | | | - Markus W Büchler
- Department of General Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - H Bas Bueno-de-Mesquita
- 1] National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands. [2] Department of Gastroenterology and Hepatology, University Medical Centre Utrecht, Utrecht, the Netherlands. [3] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Peter Bugert
- Institute of Transfusion Medicine and Immunology, Medical Faculty Mannheim, Heidelberg University, German Red Cross Blood Service Baden-Württemberg-Hessen, Mannheim, Germany
| | - Laurie Burdette
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2] Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Daniele Campa
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Gabriele Capurso
- Digestive and Liver Disease Unit, 'Sapienza' University of Rome, Rome, Italy
| | - Charles Chung
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2] Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Michelle Cotterchio
- 1] Cancer Care Ontario, University of Toronto, Toronto, Ontario, Canada. [2] Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Eithne Costello
- National Institute for Health Research Liverpool Pancreas Biomedical Research Unit, University of Liverpool, Liverpool, UK
| | - Joanne Elena
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Niccola Funel
- Department of Surgery, Unit of Experimental Surgical Pathology, University Hospital of Pisa, Pisa, Italy
| | - J Michael Gaziano
- 1] Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [2] Division of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3] Massachusetts Veteran's Epidemiology, Research and Information Center, Geriatric Research Education and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA
| | - Nathalia A Giese
- Department of General Surgery, University Hospital Heidelberg, Heidelberg, Germany
| | - Edward L Giovannucci
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3] Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Michael Goggins
- 1] Department of Pathology, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA. [2] Department of Medicine, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA. [3] Department of Oncology, Sidney Kimmel Cancer Center and Johns Hopkins University, Baltimore, Maryland, USA
| | - Megan J Gorman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Myron Gross
- Laboratory of Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Christopher A Haiman
- Preventive Medicine, University of Southern California, Los Angeles, California, USA
| | - Manal Hassan
- Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Kathy J Helzlsouer
- Prevention and Research Center, Mercy Medical Center, Baltimore, Maryland, USA
| | - Brian E Henderson
- Cancer Prevention, University of Southern California, Los Angeles, California, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Nan Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - David J Hunter
- 1] Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [2] Harvard School of Public Health, Boston, Massachusetts, USA. [3] Harvard Medical School, Boston, Massachusetts, USA
| | - Federico Innocenti
- The University of North Carolina Eshelman School of Pharmacy, Center for Pharmacogenomics and Individualized Therapy, Lineberger Comprehensive Cancer Center, School of Medicine, Chapel Hill, North Carolina, USA
| | - Mazda Jenab
- International Agency for Research on Cancer, Lyon, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, DKFZ, Heidelberg, Germany
| | - Timothy J Key
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Kay-Tee Khaw
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Eric A Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Manolis Kogevinas
- 1] Centre de Recerca en Epidemiologia Ambiental (CREAL), CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain. [2] Hospital del Mar Institute of Medical Research (IMIM), Barcelona, Spain. [3] Department of Nutrition, National School of Public Health, Athens, Greece
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Juozas Kupcinskas
- Department of Gastroenterology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Robert C Kurtz
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Andrea LaCroix
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Maria T Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Stefano Landi
- Department of Biology, University of Pisa, Pisa, Italy
| | - Loic Le Marchand
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Andrea Mambrini
- Oncology Department, ASL1 Massa Carrara, Massa Carrara, Italy
| | - Satu Mannisto
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
| | - Roger L Milne
- 1] Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Victoria, Australia. [2] Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Yusuke Nakamura
- Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Ann L Oberg
- Alliance Statistics and Data Center, Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Kouros Owzar
- Alliance Statistics and Data Center, Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Alpa V Patel
- Epidemiology Research Program, American Cancer Society, Atlanta, Georgia, USA
| | - Petra H M Peeters
- 1] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands. [2] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ulrike Peters
- Department of Epidemiology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Raffaele Pezzilli
- Pancreas Unit, Department of Digestive Diseases and Internal Medicine, Sant'Orsola-Malpighi Hospital, Bologna, Italy
| | - Ada Piepoli
- Department of Gastroenterology, Scientific Institute and Regional General Hospital 'Casa Sollievo della Sofferenza', Opera di Padre Pio da Pietrelcina, San Giovanni Rotondo, Italy
| | - Miquel Porta
- 1] Hospital del Mar Institute of Medical Research (IMIM), Barcelona, Spain. [2] Department of Epidemiology, School of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain. [3] CIBERESP, Madrid, Spain
| | - Francisco X Real
- 1] Epithelial Carcinogenesis Group, CNIO-Spanish National Cancer Research Centre, Madrid, Spain. [2] Departament de Ciències i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Aldo Scarpa
- ARC-NET: Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona, Italy
| | - Xiao-Ou Shu
- 1] Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. [2] Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Pavel Soucek
- Toxicogenomics Unit, Center for Toxicology and Safety, National Institute of Public Health, Prague, Czech Republic
| | - Malin Sund
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | | | - Philip R Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Mark Thornquist
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark
| | - Geoffrey S Tobias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Dimitrios Trichopoulos
- 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. [2] Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece. [3] Hellenic Health Foundation, Athens, Greece
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Jean Wactawski-Wende
- Department of Social and Preventive Medicine, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Chen Wu
- Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Anne Zeleniuch-Jacquotte
- 1] Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA. [2] New York University Cancer Institute, New York, New York, USA
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Patricia Hartge
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2]
| | - Charles Fuchs
- 1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. [3]
| | - Stephen J Chanock
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2] Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA. [3]
| | - Rachael S Stolzenberg-Solomon
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2]
| | - Laufey T Amundadottir
- 1] Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA. [2]
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Caraher R, Little K, Kurtzberg J, Guess C, Barfield R, Saini S, Paul M. Quality of Life Project – An Oral Presentation. Biol Blood Marrow Transplant 2011. [DOI: 10.1016/j.bbmt.2010.12.648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Affiliation(s)
- F T Muijres
- Department of Theoretical Ecology, Lund University, SE-223 62 Lund, Sweden
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Kasow K, Madden R, Barfield R, Leung W, Hale G. 211: Haploidentical Stem Cell Transplantation Using T- and B-Lymphocyte Depleted Grafts Following Reduced Intensity Conditioning for Wiskott-Aldrich Syndrome. Biol Blood Marrow Transplant 2008. [DOI: 10.1016/j.bbmt.2007.12.220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Call S, Kasow K, Barfield R, Leung W, Madden R, Horwitz E, Woodard P, Yusuf U, Panetta J, Baker S, Handgretinger R, Rodman J, Hale G. 473: Rabbit ATG (thymoglobulin r) Pharmacokinetics in Pediatric Patients Receiving a Matched Unrelated Donor Bone Marrow Transplantation. Biol Blood Marrow Transplant 2008. [DOI: 10.1016/j.bbmt.2007.12.483] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Pring K, Hale G, Barfield R, Horwitz E, Kasow K, Leung W, Woodard P, Yusuf U, Handgretinger R. A review of the use of topotecan for mobilization of peripheral blood stem cells in autologous hematopoietic stem cell transplantation. Biol Blood Marrow Transplant 2006. [DOI: 10.1016/j.bbmt.2005.11.308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Hale G, Call S, Handgretinger R, Horwitz E, Kasow K, Barfield R, Yusuf U, Woodard P, Leung W, Rodman J. Rabbit anti-thymocyte globulin (rATG;thymoglobulin®) pharmacokinetics in pediatric patients receiving a hematopoietic stem cell transplant (HSCT). Biol Blood Marrow Transplant 2006. [DOI: 10.1016/j.bbmt.2005.12.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abstract
A noninvasive radiotelemetry system was developed to monitor heart rates of cows and to view and analyze data. The system was validated by comparing heart rate data of two restrained heifers collected simultaneously using telemetric and direct electrocardiogram measurements and by acquiring data over 72 h from two dry cows housed in an experimental handling facility consisting of a free-stall pen, a holding pen, a pass-through stall, and a second holding pen. Telemetric and direct measurements in response to pharmacological elevation of heart rates were essentially identical. For cows in the experimental facility, peristimulus-time histograms indexed to standing or lying showed that average heart rates for cows increased 4.0 +/- 1.4 beats/min after cows stood and decreased 4.8 +/- 1.0 beats/min after cows lay. Similarly, the average heart rate for the cow naive to the facility increased from 60 to 86 beats/min and remained elevated for 6.3 min when heart rate was indexed to maximal heart rate within +/- 3 min of entry into the pass-through stall. Heart rate for the naive cow increased consistently from around 60 to over 160 beats/min during repeated agonistic encounters between animals. Heart rate for the other cow was not affected by the encounters. These results show clearly that heart rate can be used to monitor animal anxiety.
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Affiliation(s)
- A M Lefcourt
- Livestock and Poultry Sciences Institute, Agricultural Research Service, USDA, Beltsville, MD 20705, USA
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Barr RG, McMullan SJ, Spiess H, Leduc DG, Yaremko J, Barfield R, Francoeur TE, Hunziker UA. Carrying as colic "therapy": a randomized controlled trial. Pediatrics 1991; 87:623-30. [PMID: 2020506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
In healthy infants, crying behavior is reduced significantly by "supplemental" carrying; that is, increased carrying throughout the day in addition to that which occurs during feeding and in response to crying. To determine whether the recommendation to increase carrying would be effective as a therapy for colic, 66 mothers of infants 4 weeks of age or less who came to their pediatricians with complaints of crying problems ("colic") were randomized to receive standard pediatric advice (standard group) or standard advice plus the recommendation to increase supplemental carrying by 50% (supplemental group). Overall, the supplemental group carried their infants 6.1 hours/d throughout the intervention period, an increase of 2.2 hours/d (56%) more than that provided by the standard group. Despite this significant increase in carrying, there was no difference between groups in the duration or frequency of crying, fussing, or cry/fuss at any time throughout the intervention period. When the greatest treatment effect was expected at 6 weeks, the supplemental group infants cried only 3 minutes less per day (95% confidence interval: 37 minutes less to 32 minutes more per day). We conclude that, compared with standard pediatric advice to be "responsive," supplemental carrying does not reduce crying and fussing behavior further in infants who have colic. In marked contrast to healthy infants, this apparent resistance to increased carrying may indicate an important difference in state regulation and control in infants with colic.
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Affiliation(s)
- R G Barr
- Department of Pediatrics, McGill University Faculty of Medicine, Montreal, Quebec, Canada
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Abstract
A simple method for drying virus on inanimate objects (cover slips) under vacuum in the cold is described. Following this procedure virus maintains high titers (10(6-7)) for periods of 1-3 wk at -70 degrees C depending on the virus. For virucidal assay of disinfectants, cover slips are exposed to medium simulating the disinfectant (virus control) or disinfectant in an upright position in an Ultra-Vu cuvette. Cover slips are readily removed and placed in tissue culture medium for dilution of virus and determination of virus titer. Cytotoxicity of disinfectant is determined by exposing cover slip without virus to disinfectant, then placing it in medium, diluting the medium and incubating with the indicator cells. The use of this technique results in high titers of virus on cover slips, which are inanimate objects requiring minimal manipulation. The titration of virus or cytotoxicity in microplates is cell, medium, serum, and labware economical.
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Affiliation(s)
- L B Allen
- Department of Microbiology and Immunology, Texas College of Osteopathic Medicine, Fort Worth
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