1
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Georgakis MK, Malik R, Bounkari OE, Hasbani NR, Li J, Huffman JE, Shakt G, Tack RWP, Kimball TN, Asare Y, Morrison AC, Tsao NL, Judy R, Mitchell BD, Xu H, Montasser ME, Do R, Kenny EE, Loos RJ, Terry JG, Carr JJ, Bis JC, Psaty BM, Longstreth WT, Young KA, Lutz SM, Cho MH, Broome J, Khan AT, Wang FF, Heard-Costa N, Seshadri S, Vasan RS, Palmer ND, Freedman BI, Bowden DW, Yanek LR, Kral BG, Becker LC, Peyser PA, Bielak LF, Ammous F, Carson AP, Hall ME, Raffield LM, Rich SS, Post WS, Tracy RP, Taylor KD, Guo X, Mahaney MC, Curran JE, Blangero J, Clarke SL, Haessler JW, Hu Y, Assimes TL, Kooperberg C, Bernhagen J, Anderson CD, Damrauer SM, Zand R, Rotter JI, de Vries PS, Dichgans M. A loss-of-function CCR2 variant is associated with lower cardiovascular risk. medRxiv 2024:2023.08.14.23294063. [PMID: 37645892 PMCID: PMC10462211 DOI: 10.1101/2023.08.14.23294063] [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: 08/31/2023]
Abstract
Background and Aims Ample evidence links CCL2, a key chemokine governing monocyte trafficking, with atherosclerosis. However, it remains unknown whether targeting the CCL2 receptor CCR2 could provide protection against cardiovascular disease. Methods Computationally predicted damaging (REVEL>0.5) variants within CCR2 were detected in whole-exome-sequencing data from 454,775 UK Biobank participants and tested for association with cardiovascular endpoints in gene-burden tests. Given the key role of CCR2 in monocyte mobilization, variants associated with lower monocyte count were prioritized for experimental validation. The response to CCL2 of human cells transfected with these variants was tested in migration and cAMP assays. Validated loss-of-function variants were tested for association with cardiovascular endpoints, atherosclerosis burden, and vascular risk factors. Significant associations were replicated in six independent datasets (n=1,062,595). Results Carriers of 45 predicted damaging CCR2 variants were at lower risk of myocardial infarction and coronary artery disease. One of these variants (M249K) was associated with lower monocyte count and decreased signaling and chemoattraction in response to CCL2. While M249K showed no association with conventional vascular risk factors, it was consistently associated with a lower risk of myocardial infarction (Odds Ratio: 0.66 95% Confidence Interval: 0.54-0.81,p=6.1x10-5) and coronary artery disease(Odds Ratio: 0.74 95% Confidence Interval: 0.62-0.87, p=2.9x10-4) in the UK Biobank and in six replication cohorts. In a phenome-wide association study, there was no evidence of higher infections risk among M249K carriers. Conclusions Carriers of an experimentally confirmed loss-of-function CCR2 variant are at a lower lifetime risk of myocardial infarction and coronary artery disease without carrying a higher infection risk. Our findings provide genetic support for the translational potential of CCR2-targeting as an atheroprotective approach.
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Affiliation(s)
- Marios K. Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Omar El Bounkari
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Natalie R. Hasbani
- 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, USA
| | - Jiang Li
- Department of Molecular and Functional Genomics, Geisinger Health System, Danville, Pennsylvania, USA
| | | | - Gabrielle Shakt
- Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Reinier W. P. Tack
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Tamara N. Kimball
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Yaw Asare
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
| | - Alanna C. Morrison
- 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, USA
| | - Noah L. Tsao
- Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Renae Judy
- Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD
| | - Huichun Xu
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - May E. Montasser
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eimear E. Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James G. Terry
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - W. T. Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora CO, USA
| | - Sharon M Lutz
- Department of Population Medicine, PRecisiOn Medicine Translational Research (PROMoTeR) Center, Harvard Pilgrim Health Care and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Alyna T. Khan
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Fei Fei Wang
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Nancy Heard-Costa
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Boston University and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
| | - Sudha Seshadri
- Bigg’s Institute for Alzheimer’s Disease and neurodegenerative disorders, University of Texas Health Science Center, San Antonio, TX, USA
| | - Ramachandran S. Vasan
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Boston University and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Barry I. Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lisa R. Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brian G. Kral
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Lewis C. Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Michael E. Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA USA
| | - Wendy S. Post
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins School of Medicine, Baltimore, MD USA
| | - Russel P. Tracy
- Departments of Pathology & Laboratory Medicine, and Biochemistry, Larner College of Medicine, University of Vermont, Burlington, VT USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Michael C. Mahaney
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville TX USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville TX USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville TX USA
| | - Shoa L. Clarke
- Department of Medicine (Division of Cardiovascular Medicine), Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Jeffrey W. Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA 98109 USA
| | - Yao Hu
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA 98109 USA
| | - Themistocles L. Assimes
- Department of Medicine (Division of Cardiovascular Medicine), Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cardiovascular Institute, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle WA 98109 USA
| | - Jürgen Bernhagen
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Centre for Cardiovascular Research (DZHK, Munich), partner site Munich Heart Alliance, Munich, Germany
| | - Christopher D. Anderson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Scott M. Damrauer
- Department of Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ramin Zand
- Department of Neurology, Pennsylvania State University, Hershey, Pennsylvania, USA
- Department of Neurology, Neuroscience Institute, Geisinger Health System, Danville, PA, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA USA
| | - Paul S. de Vries
- 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, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU), Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Munich, Germany
- German Centre for Cardiovascular Research (DZHK, Munich), partner site Munich Heart Alliance, Munich, Germany
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2
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Kingston H, Stilp AM, Gordon W, Broome J, Gogarten SM, Ling H, Barnard J, Dugan-Perez S, Ellinor PT, Gabriel S, Germer S, Gibbs RA, Gupta N, Rice K, Smith AV, Zody MC, Blackman SM, Cutting G, Knowles MR, Zhou YH, Rosenfeld M, Gibson RL, Bamshad M, Fohner A, Blue EE. Accounting for population structure in genetic studies of cystic fibrosis. HGG Adv 2022; 3:100117. [PMID: 35647563 PMCID: PMC9136666 DOI: 10.1016/j.xhgg.2022.100117] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 05/09/2022] [Indexed: 11/28/2022] Open
Abstract
CFTR F508del (c.1521_1523delCTT, p.Phe508delPhe) is the most common pathogenic allele underlying cystic fibrosis (CF), and its frequency varies in a geographic cline across Europe. We hypothesized that genetic variation associated with this cline is overrepresented in a large cohort (N > 5,000) of persons with CF who underwent whole-genome sequencing and that this pattern could result in spurious associations between variants correlated with both the F508del genotype and CF-related outcomes. Using principal-component (PC) analyses, we showed that variation in the CFTR region disproportionately contributes to a PC explaining a relatively high proportion of genetic variance. Variation near CFTR was correlated with population structure among persons with CF, and this correlation was driven by a subset of the sample inferred to have European ancestry. We performed genome-wide association studies comparing persons with CF with one versus two copies of the F508del allele; this allowed us to identify genetic variation associated with the F508del allele and to determine that standard PC-adjustment strategies eliminated the significant association signals. Our results suggest that PC adjustment can adequately prevent spurious associations between genetic variants and CF-related traits and are therefore effective tools to control for population structure even when population structure is confounded with disease severity and a common pathogenic variant.
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Affiliation(s)
- Hanley Kingston
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - William Gordon
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jai Broome
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
| | | | - Hua Ling
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - John Barnard
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Shannon Dugan-Perez
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Patrick T. Ellinor
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - The Cystic Fibrosis Genome Project
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- New York Genome Center, New York, NY 10013, USA
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA 02124, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- New York Genome Center, New York, NY 10013, USA
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Scott M. Blackman
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Garry Cutting
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael R. Knowles
- Marsico Lung Institute/UNC CF Research Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yi-Hui Zhou
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27797, USA
| | - Margaret Rosenfeld
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Ronald L. Gibson
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Michael Bamshad
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
- Center for Clinical and Translational Research, Seattle Children’s Hospital, Seattle, WA 98105, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
| | - Alison Fohner
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Elizabeth E. Blue
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, USA
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA
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3
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Nakao T, Bick AG, Taub MA, Zekavat SM, Uddin MM, Niroula A, Carty CL, Lane J, Honigberg MC, Weinstock JS, Pampana A, Gibson CJ, Griffin GK, Clarke SL, Bhattacharya R, Assimes TL, Emery LS, Stilp AM, Wong Q, Broome J, Laurie CA, Khan AT, Smith AV, Blackwell TW, Codd V, Nelson CP, Yoneda ZT, Peralta JM, Bowden DW, Irvin MR, Boorgula M, Zhao W, Yanek LR, Wiggins KL, Hixson JE, Gu CC, Peloso GM, Roden DM, Reupena MS, Hwu CM, DeMeo DL, North KE, Kelly S, Musani SK, Bis JC, Lloyd-Jones DM, Johnsen JM, Preuss M, Tracy RP, Peyser PA, Qiao D, Desai P, Curran JE, Freedman BI, Tiwari HK, Chavan S, Smith JA, Smith NL, Kelly TN, Hidalgo B, Cupples LA, Weeks DE, Hawley NL, Minster RL, Deka R, Naseri TT, de las Fuentes L, Raffield LM, Morrison AC, Vries PS, Ballantyne CM, Kenny EE, Rich SS, Whitsel EA, Cho MH, Shoemaker MB, Pace BS, Blangero J, Palmer ND, Mitchell BD, Shuldiner AR, Barnes KC, Redline S, Kardia SL, Abecasis GR, Becker LC, Heckbert SR, He J, Post W, Arnett DK, Vasan RS, Darbar D, Weiss ST, McGarvey ST, de Andrade M, Chen YDI, Kaplan RC, Meyers DA, Custer BS, Correa A, Psaty BM, Fornage M, Manson JE, Boerwinkle E, Konkle BA, Loos RJ, Rotter JI, Silverman EK, Kooperberg C, Danesh J, Samani NJ, Jaiswal S, Libby P, Ellinor PT, Pankratz N, Ebert BL, Reiner AP, Mathias RA, Do R, Natarajan P. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential. Sci Adv 2022; 8:eabl6579. [PMID: 35385311 PMCID: PMC8986098 DOI: 10.1126/sciadv.abl6579] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 02/16/2022] [Indexed: 05/24/2023]
Abstract
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program (n = 63,302) and UK Biobank (n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.
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Affiliation(s)
- Tetsushi Nakao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Alexander G. Bick
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Md M. Uddin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Abhishek Niroula
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Cara L. Carty
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
| | - John Lane
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Michael C. Honigberg
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Joshua S. Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Akhil Pampana
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Gabriel K. Griffin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Shoa L. Clarke
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Romit Bhattacharya
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Themistocles L. Assimes
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Leslie S. Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Alyna T. Khan
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Albert V. Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Thomas W. Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Christopher P. Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Zachary T. Yoneda
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Juan M. Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marguerite R. Irvin
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - Meher Boorgula
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kerri L. Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - James E. Hixson
- 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, USA
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dan M. Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
| | - Solomon K. Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Donald M. Lloyd-Jones
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Barry I. Freedman
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Hemant K. Tiwari
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - Sameer Chavan
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
| | - Daniel E. Weeks
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nicola L. Hawley
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
| | - Ryan L. Minster
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- 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, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Ministry of Health, Government of Samoa, Apia, Samoa
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Bloodworks Northwest, Seattle, WA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Department of Pathology, Stanford University, Stanford, CA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ranjan Deka
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Take T. Naseri
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Alanna C. Morrison
- 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, USA
| | - Paul S. Vries
- 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, USA
| | | | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Michael H. Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Betty S. Pace
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kathleen C. Barnes
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Gonçalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Wendy Post
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Donna K. Arnett
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Ramachandran S. Vasan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Scott T. Weiss
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Stephen T. McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
| | - Mariza de Andrade
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
| | | | - Adolfo Correa
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Myriam Fornage
- 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, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - JoAnn E. Manson
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric Boerwinkle
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Barbara A. Konkle
- Department of Medicine, University of Washington, Seattle, WA, USA
- Bloodworks Northwest, Seattle, WA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Patrick T. Ellinor
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Benjamin L. Ebert
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | | | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- 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, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Ministry of Health, Government of Samoa, Apia, Samoa
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Bloodworks Northwest, Seattle, WA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Department of Pathology, Stanford University, Stanford, CA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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4
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Aly K, Aly M, Broome J. 93 Are NSAIDs Being Prescribed First Line to Manage Renal Colic Pain? A Complete Audit. Br J Surg 2022. [DOI: 10.1093/bjs/znac039.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Introduction
NICE recommends NSAIDs as first line analgesia for renal colic pain. The aim of this audit was to evaluate NSAID prescribing at Salford Royal Hospital in this patient cohort against NICE guidelines.
Method
Using electronic patient records, patients admitted with renal colic pain over a 3-week period were identified. Data regarding the type and order of analgesia prescriptions from the time of surgical clerking were collected retrospectively. Patients with a documented contraindication to NSAIDs were excluded. A local renal colic pathway was published by the Urology Department, and we followed this with additional interventions, namely an email reminder to the juniors and a poster with a renal colic analgesia ladder illustration as an aide-memoire. Subsequently, a re-audit was undertaken.
Results
Cycle 1 identified 22 patients admitted with renal colic pain with most diagnoses supported radiologically. Only 38% of patients were found to be prescribed an NSAID for analgesia around the time of surgical clerking. In the re-audit, 50% of patients had an NSAID prescribed at the time of surgical clerking.
Conclusions
NSAIDs are clearly being underused as first line analgesia in renal colic pain despite NICE guidelines. A newly published trust renal colic pathway and targeted interventions have shown to increase their use, but further QI work is needed.
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Affiliation(s)
- K. Aly
- Wythenshawe Hospital, Manchester, United Kingdom
| | - M. Aly
- Forth Valley Royal Hospital, Larbert, United Kingdom
| | - J. Broome
- Salford Royal NHS Foundation Trust, Salford, United Kingdom
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5
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Little A, Hu Y, Sun Q, Jain D, Broome J, Chen MH, Thibord F, McHugh C, Surendran P, Blackwell TW, Brody JA, Bhan A, Chami N, de Vries PS, Ekunwe L, Heard-Costa N, Hobbs BD, Manichaikul A, Moon JY, Preuss MH, Ryan K, Wang Z, Wheeler M, Yanek LR, Abecasis GR, Almasy L, Beaty TH, Becker LC, Blangero J, Boerwinkle E, Butterworth AS, Choquet H, Correa A, Curran JE, Faraday N, Fornage M, Glahn DC, Hou L, Jorgenson E, Kooperberg C, Lewis JP, Lloyd-Jones DM, Loos RJF, Min YI, Mitchell BD, Morrison AC, Nickerson DA, North KE, O'Connell JR, Pankratz N, Psaty BM, Vasan RS, Rich SS, Rotter JI, Smith AV, Smith NL, Tang H, Tracy RP, Conomos MP, Laurie CA, Mathias RA, Li Y, Auer PL, Thornton T, Reiner AP, Johnson AD, Raffield LM. Whole genome sequence analysis of platelet traits in the NHLBI Trans-Omics for Precision Medicine (TOPMed) initiative. Hum Mol Genet 2022; 31:347-361. [PMID: 34553764 PMCID: PMC8825339 DOI: 10.1093/hmg/ddab252] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 12/15/2022] Open
Abstract
Platelets play a key role in thrombosis and hemostasis. Platelet count (PLT) and mean platelet volume (MPV) are highly heritable quantitative traits, with hundreds of genetic signals previously identified, mostly in European ancestry populations. We here utilize whole genome sequencing (WGS) from NHLBI's Trans-Omics for Precision Medicine initiative (TOPMed) in a large multi-ethnic sample to further explore common and rare variation contributing to PLT (n = 61 200) and MPV (n = 23 485). We identified and replicated secondary signals at MPL (rs532784633) and PECAM1 (rs73345162), both more common in African ancestry populations. We also observed rare variation in Mendelian platelet-related disorder genes influencing variation in platelet traits in TOPMed cohorts (not enriched for blood disorders). For example, association of GP9 with lower PLT and higher MPV was partly driven by a pathogenic Bernard-Soulier syndrome variant (rs5030764, p.Asn61Ser), and the signals at TUBB1 and CD36 were partly driven by loss of function variants not annotated as pathogenic in ClinVar (rs199948010 and rs571975065). However, residual signal remained for these gene-based signals after adjusting for lead variants, suggesting that additional variants in Mendelian genes with impacts in general population cohorts remain to be identified. Gene-based signals were also identified at several genome-wide association study identified loci for genes not annotated for Mendelian platelet disorders (PTPRH, TET2, CHEK2), with somatic variation driving the result at TET2. These results highlight the value of WGS in populations of diverse genetic ancestry to identify novel regulatory and coding signals, even for well-studied traits like platelet traits.
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Affiliation(s)
- Amarise Little
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Ming-Huei Chen
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01702, USA
| | - Florian Thibord
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01702, USA
| | - Caitlin McHugh
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK
- Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Thomas W Blackwell
- TOPMed Informatics Research Center, University of Michigan, Department of Biostatistics, Ann Arbor, MI 48109, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | | | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Paul S de Vries
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Lynette Ekunwe
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Nancy Heard-Costa
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01702, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ani Manichaikul
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Kathleen Ryan
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Marsha Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Goncalo R Abecasis
- TOPMed Informatics Research Center, University of Michigan, Department of Biostatistics, Ann Arbor, MI 48109, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | | | - Lewis C Becker
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge CB1 8RN, UK
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Myriam Fornage
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Joshua P Lewis
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Yuan-I Min
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Alanna C Morrison
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Jeffrey R O'Connell
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle WA 98101, USA
| | - Ramachandran S Vasan
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01702, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Stephen S Rich
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Albert V Smith
- TOPMed Informatics Research Center, University of Michigan, Department of Biostatistics, Ann Arbor, MI 48109, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle WA 98101, USA
- Department of Veterans Affairs Office of Research and Development, Seattle Epidemiologic Research and Information Center, Seattle, WA 98108, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine and Biochemistry, University of Vermont Larner College of Medicine, Colchester, VT 05446, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yun Li
- Departments of Biostatistics, Genetics, Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
| | | | - Timothy Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98195, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01702, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
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6
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Mikhaylova AV, McHugh CP, Polfus LM, Raffield LM, Boorgula MP, Blackwell TW, Brody JA, Broome J, Chami N, Chen MH, Conomos MP, Cox C, Curran JE, Daya M, Ekunwe L, Glahn DC, Heard-Costa N, Highland HM, Hobbs BD, Ilboudo Y, Jain D, Lange LA, Miller-Fleming TW, Min N, Moon JY, Preuss MH, Rosen J, Ryan K, Smith AV, Sun Q, Surendran P, de Vries PS, Walter K, Wang Z, Wheeler M, Yanek LR, Zhong X, Abecasis GR, Almasy L, Barnes KC, Beaty TH, Becker LC, Blangero J, Boerwinkle E, Butterworth AS, Chavan S, Cho MH, Choquet H, Correa A, Cox N, DeMeo DL, Faraday N, Fornage M, Gerszten RE, Hou L, Johnson AD, Jorgenson E, Kaplan R, Kooperberg C, Kundu K, Laurie CA, Lettre G, Lewis JP, Li B, Li Y, Lloyd-Jones DM, Loos RJF, Manichaikul A, Meyers DA, Mitchell BD, Morrison AC, Ngo D, Nickerson DA, Nongmaithem S, North KE, O'Connell JR, Ortega VE, Pankratz N, Perry JA, Psaty BM, Rich SS, Soranzo N, Rotter JI, Silverman EK, Smith NL, Tang H, Tracy RP, Thornton TA, Vasan RS, Zein J, Mathias RA, Reiner AP, Auer PL. Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program. Am J Hum Genet 2021; 108:1836-1851. [PMID: 34582791 PMCID: PMC8546043 DOI: 10.1016/j.ajhg.2021.08.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 04/16/2021] [Accepted: 08/11/2021] [Indexed: 12/15/2022] Open
Abstract
Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.
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MESH Headings
- Asthma/epidemiology
- Asthma/genetics
- Asthma/metabolism
- Asthma/pathology
- Biomarkers/metabolism
- Dermatitis, Atopic/epidemiology
- Dermatitis, Atopic/genetics
- Dermatitis, Atopic/metabolism
- Dermatitis, Atopic/pathology
- Genetic Predisposition to Disease
- Genome, Human
- Genome-Wide Association Study
- Humans
- Leukocytes/pathology
- National Heart, Lung, and Blood Institute (U.S.)
- Phenotype
- Polymorphism, Single Nucleotide
- Prognosis
- Proteome/analysis
- Proteome/metabolism
- Pulmonary Disease, Chronic Obstructive/epidemiology
- Pulmonary Disease, Chronic Obstructive/genetics
- Pulmonary Disease, Chronic Obstructive/metabolism
- Pulmonary Disease, Chronic Obstructive/pathology
- Quantitative Trait Loci
- United Kingdom/epidemiology
- United States/epidemiology
- Whole Genome Sequencing
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Affiliation(s)
- Anna V Mikhaylova
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Caitlin P McHugh
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Linda M Polfus
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Meher Preethi Boorgula
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Thomas W Blackwell
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Ming-Huei Chen
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Corey Cox
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Lynette Ekunwe
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02155, USA
| | - Nancy Heard-Costa
- National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Yann Ilboudo
- Montréal Heart Institute, Montréal, Québec H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, Québec H1T 1C8, Canada
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Tyne W Miller-Fleming
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Nancy Min
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Jonathon Rosen
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Kathleen Ryan
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Albert V Smith
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Paul S de Vries
- 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 77030, USA
| | - Klaudia Walter
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Marsha Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Xue Zhong
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Goncalo R Abecasis
- TOPMed Informatics Research Center, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, the Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Terri H Beaty
- School of Public Health, John Hopkins University, Baltimore, MD 21205, USA
| | - Lewis C Becker
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Eric Boerwinkle
- 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 77030, USA
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge CB1 8RN, UK
| | - Sameer Chavan
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94601, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Nancy Cox
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Myriam Fornage
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University, Chicago, IL 60661, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | | | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Kousik Kundu
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge CB1 8RN, UK
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Guillaume Lettre
- Montréal Heart Institute, Montréal, Québec H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, Québec H1T 1C8, Canada
| | - Joshua P Lewis
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232, USA
| | - Yun Li
- Departments of Biostatistics, Genetics, and Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Donald M Lloyd-Jones
- Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60661, USA; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60661, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY 10029, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD 21201, USA
| | - Alanna C Morrison
- 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 77030, USA
| | - Debby Ngo
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Suraj Nongmaithem
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jeffrey R O'Connell
- Department of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Victor E Ortega
- Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - James A Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Department of Health Service, University of Washington, Seattle, WA 98105, USA; Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Nicole Soranzo
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge CB1 8RN, UK
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Department of Health Service, University of Washington, Seattle, WA 98105, USA; Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98105, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine and Department of Biochemistry, University of Vermont Larner College of Medicine, Colchester, VT 05446, USA
| | - Timothy A Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA; Regeneron Genetics Center, Tarrytown, NY 10591, USA
| | - Ramachandran S Vasan
- National Heart, Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA 02118, USA
| | - Joe Zein
- Respiratory Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alexander P Reiner
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin, Milwaukee, Milwaukee, WI 53205, USA.
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Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, Méric de Bellefon S, Raffield LM, Chen MH, Yanek LR, Wheeler M, Yao Y, Ren C, Broome J, Moon JY, de Vries PS, Hobbs BD, Sun Q, Surendran P, Brody JA, Blackwell TW, Choquet H, Ryan K, Duggirala R, Heard-Costa N, Wang Z, Chami N, Preuss MH, Min N, Ekunwe L, Lange LA, Cushman M, Faraday N, Curran JE, Almasy L, Kundu K, Smith AV, Gabriel S, Rotter JI, Fornage M, Lloyd-Jones DM, Vasan RS, Smith NL, North KE, Boerwinkle E, Becker LC, Lewis JP, Abecasis GR, Hou L, O’Connell JR, Morrison AC, Beaty TH, Kaplan R, Correa A, Blangero J, Jorgenson E, Psaty BM, Kooperberg C, Walton RT, Kleinstiver BP, Tang H, Loos RJ, Soranzo N, Butterworth AS, Nickerson D, Rich SS, Mitchell BD, Johnson AD, Auer PL, Li Y, Mathias RA, Lettre G, Pankratz N, Laurie CC, Laurie CA, Bauer DE, Conomos MP, Reiner AP. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet 2021; 108:1165. [PMID: 34087167 PMCID: PMC8206380 DOI: 10.1016/j.ajhg.2021.04.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
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8
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Hu Y, Stilp AM, McHugh CP, Rao S, Jain D, Zheng X, Lane J, Méric de Bellefon S, Raffield LM, Chen MH, Yanek LR, Wheeler M, Yao Y, Ren C, Broome J, Moon JY, de Vries PS, Hobbs BD, Sun Q, Surendran P, Brody JA, Blackwell TW, Choquet H, Ryan K, Duggirala R, Heard-Costa N, Wang Z, Chami N, Preuss MH, Min N, Ekunwe L, Lange LA, Cushman M, Faraday N, Curran JE, Almasy L, Kundu K, Smith AV, Gabriel S, Rotter JI, Fornage M, Lloyd-Jones DM, Vasan RS, Smith NL, North KE, Boerwinkle E, Becker LC, Lewis JP, Abecasis GR, Hou L, O'Connell JR, Morrison AC, Beaty TH, Kaplan R, Correa A, Blangero J, Jorgenson E, Psaty BM, Kooperberg C, Walton RT, Kleinstiver BP, Tang H, Loos RJF, Soranzo N, Butterworth AS, Nickerson D, Rich SS, Mitchell BD, Johnson AD, Auer PL, Li Y, Mathias RA, Lettre G, Pankratz N, Laurie CC, Laurie CA, Bauer DE, Conomos MP, Reiner AP. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program. Am J Hum Genet 2021; 108:874-893. [PMID: 33887194 DOI: 10.1016/j.ajhg.2021.04.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 12/19/2020] [Accepted: 03/30/2021] [Indexed: 02/06/2023] Open
Abstract
Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3 bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.
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Affiliation(s)
- Yao Hu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98105, USA
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Caitlin P McHugh
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Shuquan Rao
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Xiuwen Zheng
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - John Lane
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | | | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Ming-Huei Chen
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Marsha Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Yao Yao
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA
| | - Chunyan Ren
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Paul S de Vries
- 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 77030, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Quan Sun
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Praveen Surendran
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; Rutherford Fund Fellow, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Thomas W Blackwell
- TOPMed Informatics Research Center, University of Michigan, Department of Biostatistics, Ann Arbor, MI 48109, USA
| | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94601, USA
| | - Kathleen Ryan
- Department of Medicine, Division of Endocrinology, Diabetes & Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Nancy Heard-Costa
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA; National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Zhe Wang
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nathalie Chami
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nancy Min
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Lynette Ekunwe
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Mary Cushman
- Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT 05405, USA
| | - Nauder Faraday
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Laura Almasy
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia and Department of Genetics University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kousik Kundu
- Department of Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK
| | - Albert V Smith
- TOPMed Informatics Research Center, University of Michigan, Department of Biostatistics, Ann Arbor, MI 48109, USA
| | | | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Myriam Fornage
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | | | - Ramachandran S Vasan
- National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA; Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98105, USA; Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA 98105, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Eric Boerwinkle
- 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 77030, USA
| | - Lewis C Becker
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Joshua P Lewis
- Department of Medicine, Division of Endocrinology, Diabetes & Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Goncalo R Abecasis
- TOPMed Informatics Research Center, University of Michigan, Department of Biostatistics, Ann Arbor, MI 48109, USA
| | - Lifang Hou
- Northwestern University, Chicago, IL 60208, USA
| | - Jeffrey R O'Connell
- Department of Medicine, Division of Endocrinology, Diabetes & Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Alanna C Morrison
- 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 77030, USA
| | - Terri H Beaty
- School of Public Health, John Hopkins University, Baltimore, MD 21205, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78539, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94601, USA
| | - Bruce M Psaty
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98105, USA; Department of Medicine, University of Washington, Seattle, WA 98105, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98105, USA
| | - Russell T Walton
- Center for Genomic Medicine and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Benjamin P Kleinstiver
- Center for Genomic Medicine and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nicole Soranzo
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Department of Human Genetics, Wellcome Sanger Institute, Hinxton CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge CB2 0PT, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge CB1 8RN, UK
| | - Debbie Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98105, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA 22903, USA
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology, Diabetes & Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Andrew D Johnson
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA; National Heart Lung and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA 01701, USA
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI 53205, USA
| | - Yun Li
- Departments of Biostatistics, Genetics, Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rasika A Mathias
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MA 21205, USA
| | - Guillaume Lettre
- Montreal Heart Institute, Montréal, QC H1T 1C8, Canada; Faculté de Médecine, Université de Montréal, Montréal, QC H1T 1C8, Canada
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Daniel E Bauer
- Division of Hematology/Oncology, Boston Children's Hospital, Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Department of Pediatrics, Harvard Medical School, Boston, MA 02215, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA 98105, USA.
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Shakya HB, Stafford D, Hughes DA, Keegan T, Negron R, Broome J, McKnight M, Nicoll L, Nelson J, Iriarte E, Ordonez M, Airoldi E, Fowler JH, Christakis NA. Exploiting social influence to magnify population-level behaviour change in maternal and child health: study protocol for a randomised controlled trial of network targeting algorithms in rural Honduras. BMJ Open 2017; 7:e012996. [PMID: 28289044 PMCID: PMC5353315 DOI: 10.1136/bmjopen-2016-012996] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [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] [Indexed: 11/28/2022] Open
Abstract
INTRODUCTION Despite global progress on many measures of child health, rates of neonatal mortality remain high in the developing world. Evidence suggests that substantial improvements can be achieved with simple, low-cost interventions within family and community settings, particularly those designed to change knowledge and behaviour at the community level. Using social network analysis to identify structurally influential community members and then targeting them for intervention shows promise for the implementation of sustainable community-wide behaviour change. METHODS AND ANALYSIS We will use a detailed understanding of social network structure and function to identify novel ways of targeting influential individuals to foster cascades of behavioural change at a population level. Our work will involve experimental and observational analyses. We will map face-to-face social networks of 30 000 people in 176 villages in Western Honduras, and then conduct a randomised controlled trial of a friendship-based network-targeting algorithm with a set of well-established care interventions. We will also test whether the proportion of the population targeted affects the degree to which the intervention spreads throughout the network. We will test scalable methods of network targeting that would not, in the future, require the actual mapping of social networks but would still offer the prospect of rapidly identifying influential targets for public health interventions. ETHICS AND DISSEMINATION The Yale IRB and the Honduran Ministry of Health approved all data collection procedures (Protocol number 1506016012) and all participants will provide informed consent before enrolment. We will publish our findings in peer-reviewed journals as well as engage non-governmental organisations and other actors through venues for exchanging practical methods for behavioural health interventions, such as global health conferences. We will also develop a 'toolkit' for practitioners to use in network-based intervention efforts, including public release of our network mapping software. TRIAL REGISTRATION NUMBER NCT02694679; Pre-results.
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Affiliation(s)
- Holly B Shakya
- Division of Global Public Health, School of Medicine, Center on Gender Equity and Health, University of California San Diego, San Diego, California, USA
| | | | - D Alex Hughes
- Department of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA
| | - Thomas Keegan
- School of Information, University of California Berkeley, Berkeley, California, USA
| | - Rennie Negron
- Department of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA
| | - Jai Broome
- Department of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA
| | - Mark McKnight
- Department of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA
| | - Liza Nicoll
- Department of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA
| | - Jennifer Nelson
- Salud Mesoamerica Initiative, Inter-American Development, Washington, District of Columbia, USA
| | - Emma Iriarte
- Salud Mesoamerica Initiative, Inter-American Development, Washington, District of Columbia, USA
| | | | - Edo Airoldi
- Department of Statistics, Harvard University, Cambridge, Massachusetts, USA
| | - James H Fowler
- Division of Global Public Health, School of Medicine, University of California San Diego, San Diego, California, USA
| | - Nicholas A Christakis
- Department of Sociology, Yale Institute for Network Science, Yale University, New Haven, Connecticut, USA
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10
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Sasson S, Busby G, Broome J. Laparoscopic hysteropexy: the initial results of a uterine suspension procedure for uterovaginal prolapse. BJOG 2010; 117:1166. [PMID: 20604790 DOI: 10.1111/j.1471-0528.2010.02617.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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12
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Affiliation(s)
- G Busby
- Department of Obstetrics and Gynaecology, Royal Bolton Hospital, Bolton, Lancashire, UK.
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13
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Affiliation(s)
- J. Broome
- a Current, Inc. , Philadelphia, Pennsylvania
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14
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Walker C, Haylock B, Husband D, Joyce KA, Fildes D, Jenkinson MD, Smith T, Broome J, Kopitzki K, du Plessis DG, Prosser J, Vinjamuri S, Warnke PC. Genetic and metabolic predictors of chemosensitivity in oligodendroglial neoplasms. Br J Cancer 2006; 95:1424-31. [PMID: 17031404 PMCID: PMC2360602 DOI: 10.1038/sj.bjc.6603390] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The −1p/−19q genotype predicts chemosensitivity in oligodendroglial neoplasms, but some with intact 1p/19q also respond and not all with 1p/19q loss derive durable benefit from chemotherapy. We have evaluated the predictive and prognostic significance of pretherapy 201Tl and 18F-FDG SPECT and genotype in 38 primary and 10 recurrent oligodendroglial neoplasms following PCV chemotherapy. 1p/19q loss was seen in 8/15 OII, 6/15 OAII, 7/7 OIII, 3/11 OAIII and was associated with response (Fisher-Exact: P=0.000) and prolonged progression-free (log-rank: P=0.002) and overall survival (OS) (log-rank: P=0.0048). Response was unrelated to metabolism, with tumours with high or low metabolism showing response. Increased 18F-FDG or 201Tl uptake predicted shorter progression-free survival (PFS) in the series (log-rank: 201Tl P=0.0097, 18F-FDG P=0.0170) and in cases with or without the −1p/−19q genotype. Elevated metabolism was associated with shorter OS in cases with intact 1p/19q (log-rank: 18F-FDG P=0.0077; 201Tl P=0.0004) and shorter PFS in responders (log-rank: 18F-FDG P=0.005; 201Tl P=0.0132). 201Tl uptake and 1p/19q loss were independent predictors of survival in multivariate analysis. In this initial study, 201Tl and 18F-FDG uptake did not predict response to PCV, but may be associated with poor survival following therapy irrespective of genotype. This may be clinically useful warranting further study.
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MESH Headings
- Adult
- Aged
- Alleles
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Brain Neoplasms/drug therapy
- Brain Neoplasms/genetics
- Brain Neoplasms/pathology
- Chromosomes, Human, Pair 1/genetics
- Chromosomes, Human, Pair 19/genetics
- Disease Progression
- Female
- Fluorodeoxyglucose F18/metabolism
- Genetic Predisposition to Disease
- Genotype
- Humans
- Lomustine/therapeutic use
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Neoplasm Recurrence, Local/drug therapy
- Neoplasm Recurrence, Local/genetics
- Neoplasm Recurrence, Local/pathology
- Oligodendroglioma/drug therapy
- Oligodendroglioma/genetics
- Oligodendroglioma/pathology
- Procarbazine/therapeutic use
- Prospective Studies
- Survival Rate
- Tomography, Emission-Computed, Single-Photon
- Tomography, X-Ray Computed
- Treatment Outcome
- Vincristine/therapeutic use
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Affiliation(s)
- C Walker
- JK Douglas Laboratories, Clatterbridge Hospital, Bebington, Wirral, UK.
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15
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Karabatsou K, Pal P, Dodd S, Mat A, Haylock B, Aguirreburualde M, Moxam N, Pinson-Ellis W, Broome J, Rainov NG. Expression of survivin, platelet-derived growth factor A (PDGF-A) and PDGF receptor α in primary central nervous system lymphoma. J Neurooncol 2006; 79:171-9. [PMID: 16850112 DOI: 10.1007/s11060-005-9102-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [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: 11/11/2005] [Accepted: 12/07/2005] [Indexed: 10/24/2022]
Abstract
PURPOSE Primary central nervous system lymphomas (PCNSL) are rare tumours occurring in the brain. Their biology and the factors predicting survival are not well known. This study investigated expression of the antiapoptotic protein survivin and platelet-derived growth factor A (PDGF-A) and receptor (PDGFRalpha) in PCNSL. EXPERIMENTAL DESIGN A total of 44 patients with histologically confirmed PCNSL treated between 1992 and 2004 were included in this study, and tumour specimens were investigated immunohistochemically for expression of survivin, PDGF-A and PDGFRalpha. Protein expression and clinical variables were analyzed statistically. RESULTS Of the 44 tumours 43(98%) were diffuse large B-cell non-Hodgkin's lymphomas (NHL) and one was a T-cell NHL. Around 37 (84%) of the examined PCNSL specimens showed expression of survivin, 16 (36%) of PDGF-A and 34 (77%) of PDGFRalpha. Tumours expressing surviving co-expressed PDGFRalpha frequently and PDGF-A occasionally. Expression of the above proteins was not predictive for survival in this patient group. Except for age and therapy, no other clinical variables correlated significantly with overall survival. CONCLUSIONS PCNSL express survivin and PDGFRalpha in the majority of investigated cases. PDGF-A is expressed less frequently. Immunohistochemical detection of these proteins does not correlate with overall survival and cannot be used as a prognostic factor.
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Affiliation(s)
- K Karabatsou
- Department of Neurosurgery, The Walton Centre for Neurology and Neurosurgery NHS Trust, L9 7LJ, Liverpool, UK
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16
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Walker C, Haylock B, Husband D, Joyce KA, Fildes D, Jenkinson MD, Smith T, Broome J, du Plessis DG, Warnke PC. Clinical use of genotype to predict chemosensitivity in oligodendroglial tumors. Neurology 2006; 66:1661-7. [PMID: 16769937 DOI: 10.1212/01.wnl.0000218270.12495.9a] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.1] [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: 11/15/2022] Open
Abstract
BACKGROUND The -1p/-19q genotype has been associated with prolonged survival and chemosensitivity in oligodendroglial neoplasms, but the predictive and prognostic significance of genotype in the routine clinic is not established. METHODS The authors investigated allelic imbalance in 1p36, 19q13, 17p13, 10p12-15, and 10q22-26 and p53 mutation in a cohort representative of clinical practice at their center (50 primary, 26 recurrent cases) given PCV chemotherapy between 2000 and 2003 and compared with response and outcome following PCV. RESULTS 1p/19q loss was found in 12/19 OII, 10/23 OAII, 11/13 OIII, and 6/21 OAIII. Response, seen in 92% with 1p/19q loss, was associated with the -1p/-19q genotype (Fisher exact: p < 0.001) regardless of WHO grade or whether primary or recurrent. 1p/19q loss was an independent prognostic factor associated with longer progression-free (PFS) and overall survival (OS) (Cox regression: PFS and OS p < 0.001), with greater impact on PFS than OS in primary tumors, and OS at recurrence. 17p13 loss and p53 mutation were associated with poor prognosis in recurrent tumors and chromosome 10 loss was associated with short PFS and OS in primary tumors. Histologic subtype did not influence outcome in tumors of equivalent genotype. Genotype had greater association with response and outcome than conventional clinical factors. A total of 29% with intact 1p/19q and a variety of genetic or clinicopathologic characteristics responded in association with increased PFS and OS. CONCLUSIONS The -1p/-19q genotype predicted response and favorable outcome following PCV chemotherapy corroborating genetic analysis to guide routine clinical management. However, some cases with intact 1p/19q also had clinical benefit.
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Affiliation(s)
- C Walker
- J.K. Douglas Laboratories, Clatterbridge Hospital, Bebington, Wirral, UK.
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17
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Abstract
OBJECTIVES To evaluate the use of ultrasound in the quantification of prolapse and compare findings with clinical assessments obtained in a blind study. METHODS In a prospective comparative clinical study, 145 patients referred for urogynecological assessment were examined clinically by one operator and by translabial ultrasound by another operator. RESULTS Clinical staging and International Continence Society coordinates were obtained for all 145 patients, as were ultrasound coordinates for descent of the anterior and posterior vaginal walls. Eighteen percent of the uteri of those women who had not had a hysterectomy in the past could not be seen; none of these women suffered from uterine prolapse clinically. Correlation with the prolapse assessment system recently endorsed by the International Continence Society was good (r = 0.77 for uterine prolapse, r = 0.72 for anterior vaginal wall and r = 0.53 for posterior vaginal wall descent). CONCLUSIONS This study demonstrates that translabial ultrasound can be used to quantify female pelvic organ prolapse. Correlation with the International Continence Society prolapse assessment system is good. The method may be particularly suitable for objective outcome assessment after surgical intervention.
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Affiliation(s)
- H P Dietz
- St. Vincent's Hospital, Sydney, Australia.
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18
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Walker C, Joyce KA, Thompson-Hehir J, Davies MP, Gibbs FE, Halliwell N, Lloyd BH, Machell Y, Roebuck MM, Salisbury J, Sibson DR, Du Plessis D, Broome J, Rossi ML. Characterisation of molecular alterations in microdissected archival gliomas. Acta Neuropathol 2001; 101:321-33. [PMID: 11355303 DOI: 10.1007/s004010000259] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [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: 11/26/2022]
Abstract
Classification of gliomas according to their molecular characteristics may be important in future histopathological diagnosis. However, gliomas frequently display heterogeneity at the histological, biological and molecular level. In this study of archival diagnostic gliomas, precision microdissection was used to enrich samples in the most malignant cells or to investigate intratumoural histological heterogeneity. Analysis of tumour samples microdissected from the most aggressive regions, representative of the histopathological diagnosis, revealed PTEN mutations in 4/14 anaplastic astrocytomas, 4/13 glioblastomas and 1 gliosarcoma, but not in 19 low-grade gliomas. Using a novel PCR procedure and direct sequence analysis of the entire coding sequence, TP53 mutations were detected in 1/3 pilocytic astrocytomas, 3/13 astrocytomas, 4/14 anaplastic astrocytomas, 5/13 glioblastomas and 1 gliosarcoma. All but one of the tumours with TP53 mutation showed p53 immunopositivity, but 5 low-grade and 10 high-grade gliomas had p53 protein nuclear accumulation in the absence of detectable mutation. p53 status was unrelated to p21 expression. Neither PTEN nor TP53 mutations influenced the proliferative index or microvessel density of high-grade astrocytomas. Unusual findings include: TP53 mutation in a juvenile pilocytic astrocytoma; TP53 and PTEN mutations in a de novo glioblastoma, a gliosarcoma with identical mutations in gliomatous and sarcomatous components, and an infratentorial anaplastic astrocytoma with an earlier supratentorial grade II astrocytoma bearing the same TP53 mutation but not the PTEN mutation or loss of heterozygosity (LOH) of 10q23. Similarly, the transition to high-grade histology was associated with acquisition of PTEN mutations and 10q23.3 LOH in two de novo high-grade tumours with regions of low-grade histology.
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Affiliation(s)
- C Walker
- Clatterbridge Cancer Research Trust, J.K. Douglas Laboratories, Clatterbridge Hospital, Bebington, Wirral CH63 4JY, UK.
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19
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Pritchard J, Anand P, Broome J, Davis C, Gothard L, Hall E, Maher J, McKinna F, Millington J, Misra VP, Pitkin A, Yarnold JR. Double-blind randomized phase II study of hyperbaric oxygen in patients with radiation-induced brachial plexopathy. Radiother Oncol 2001; 58:279-86. [PMID: 11230889 DOI: 10.1016/s0167-8140(00)00319-4] [Citation(s) in RCA: 62] [Impact Index Per Article: 2.7] [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: 10/18/2022]
Abstract
BACKGROUND Radiation-induced brachial plexopathy (RIBP) is an untreatable complication of curative radiotherapy for early breast cancer, characterized by chronic neuropathic pain and limb paralysis. Hyperbaric oxygen (HBO2) therapy is known to promote healing of tissue rendered ischaemic by radiotherapy, but is untested in RIBP. METHODS Thirty four eligible research volunteers suffering from RIBP were randomized to HBO2 or control group. The HBO2 group breathed 100% oxygen for 100 min in a multiplace hyperbaric chamber on 30 occasions over a period of 6 weeks. The control group accompanied the HBO2 group and breathed a gas mixture equivalent to breathing 100% oxygen at surface pressure. All volunteers and investigators, except the operators of the hyperbaric chamber and the trial statistician, were blind to treatment assignments. The warm sensory threshold, which measures the function of small sensory fibres, was selected as the primary endpoint. FINDINGS Pre-treatment neurophysiological tests were grossly abnormal in the affected hand compared to the unaffected hand in both HBO2 and control groups, as expected, but no statistically significant differences were noted in either group at any time up to 12 months post-treatment. However, normalization of the warm sensory threshold in two of the HBO2 group was reliably recorded. Two cases with marked chronic arm lymphoedema reported major and persistent improvements in arm volume for at least 12 months after treatment with HBO2. IINTERPRETATION: There is no reliable evidence to support the hypothesis that HBO2 therapy slows or reverses RIBP in a substantial proportion of affected individuals, although improvements in warm sensory threshold offer some suggestion of therapeutic effect. Improvement in long-standing arm lymphoedema was not anticipated, and justifies further investigation.
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Affiliation(s)
- J Pritchard
- Radiotherapy Action Group Exposure, 24 Edgeborough Way, Bromley, Kent BR1 2UA, UK
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20
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Abstract
OBJECTIVE AND IMPORTANCE The exact origin of rare intradural chondrosarcomas remains obscure. We present a case report of an intradural classic chondrosarcoma (a very rare subtype of chondrosarcoma in this location), with a review of the literature, in an attempt to clarify the histogenesis of these tumors. CLINICAL PRESENTATION A 48-year-old man presented with a 12-month history of progressive right hemiparesis. Computed tomography and magnetic resonance imaging demonstrated a left parietal space-occupying lesion. INTERVENTION The patient underwent an image-guided, left parietal parasagittal craniotomy. An extrinsic tumor, which seemed to arise from the dura, was macroscopically removed. There was no bone involvement. The histological examination revealed a Grade II classic chondrosarcoma with tumor infiltration into the dura. Adjuvant radiotherapy was administered. CONCLUSION Intradural chondrosarcomas are rare tumors, the majority of which are mesenchymal. Classic chondrosarcomas in this location are much rarer. Their histogenesis is uncertain. In this case, the origin seems to be from the dura. Because of the malignant potential of these tumors, radical extirpation whenever possible, followed by radiotherapy, is indicated.
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Affiliation(s)
- J J Bosma
- Department of Neurosurgery, Walton Centre for Neurology and Neurosurgery, Liverpool, England.
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21
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Day GA, Swanson C, Yelland C, Broome J, Dimitri K, Massey L, Richardson H, Marsh A. Surgical outcomes of a randomized prospective trial involving patients with a proximal femoral fracture. ANZ J Surg 2001; 71:11-4. [PMID: 11167590 DOI: 10.1046/j.1440-1622.2001.02019.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [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: 11/20/2022]
Abstract
BACKGROUND An orthopaedic management/patient-focused care unit (OMPFCU) involving a dedicated orthopaedic-geriatrics liaison team was established at the Royal Brisbane Hospital in 1994 in an effort to safely accelerate rehabilitation of patients with proximal femoral fractures. METHODS The surgical outcomes of the patients were monitored in order to determine whether accelerated rehabilitation had any significant adverse effects on the surgical outcomes, measured by mortality, readmission to hospital, deep wound infection, fracture union delay, mobility and the revision surgery rate. RESULTS No significant difference was recorded in mortality and morbidity, deep wound infection and revision surgery rates between patients in the Royal Brisbane Hospital OMPFCU and those in standard care in the orthopaedic surgery wards. CONCLUSION Accelerated rehabilitation for patients with a proximal femoral fracture in a major teaching hospital can be accomplished safely.
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Affiliation(s)
- G A Day
- Division of Orthopaedic Surgery, University of Queensland, Brisbane, Australia.
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22
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Abstract
Investigation of the clinical significance of genetic alterations in gliomas requires molecular genetic analysis using samples from retrospective or prospective clinical studies. However, diagnostic tissue is often severely limited and because of fixation, paraffin-embedded tissues (PET) contain degraded DNA. Intra-operative cytological preparations (smears) archived after diagnosis may represent an additional source of clinical material for genetic analysis. In this study, tissue samples were obtained by precision microdissection of archived diagnostic smears from 20 cases (1961-1999). All samples produced polymerase chain reaction (PCR) products for the beta globin gene, but the most recent samples amplified best and gave longer amplimers. For six cases, direct comparison was made between samples microdissected from smears and the corresponding PET. Samples from smears showed improved PCR performance and similar alleles on microsatellite marker analysis. One case, with smears of uninvolved cortex and tumour tissue available for microdissection, showed allelic imbalance at 10q23 on the basis of the smear results alone. PCR products from smears were shown to be suitable for direct sequence analysis (p53 gene). A PTEN mutation, found previously in an anaplastic astrocytoma by analysis of PET, was detected in the corresponding diagnostic smear. The results of this study indicate that tissue samples microdissected from diagnostic intra-operative cytological preparations may be suitable for molecular genetic analysis of gliomas.
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Affiliation(s)
- C Walker
- Clatterbridge Cancer Research Trust, JK Douglas Laboratories, Clatterbridge Hospital, Bebington, Merseyside, UK.
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23
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von Wolff M, Thaler CJ, Strowitzki T, Broome J, Stolz W, Tabibzadeh S. Regulated expression of cytokines in human endometrium throughout the menstrual cycle: dysregulation in habitual abortion. Mol Hum Reprod 2000; 6:627-34. [PMID: 10871650 DOI: 10.1093/molehr/6.7.627] [Citation(s) in RCA: 149] [Impact Index Per Article: 6.2] [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] [Indexed: 11/12/2022] Open
Abstract
It is widely assumed that, after ovulation, the human endometrium undergoes specific changes and becomes receptive to the implantation of embryo during the mid-secretory phase. When implantation does not take place, further changes occur which eventually result in the shedding of human endometrium. The present study was carried out to examine whether there are changes in the cytokine gene expression in human endometrium which are correlated with endometrial function in various phases of the menstrual cycle. The RNase protection assay was performed on carefully dated endometria from normal subjects to characterize the expression of cytokines which potentially contribute to endometrial function. These included: tumour necrosis factor (TNF), interleukin (IL)-1beta, IL-6, IL-8, leukaemia inhibitory factor (LIF), transforming growth factor beta1 (TGF-beta1), macrophage colony stimulating factor (MCSF or colony stimulating factor-1), and vascular endothelial growth factor (VEGF) mRNAs. A low level of expression of these cytokine mRNAs was found during the proliferative and early secretory phase. Expression of cytokine mRNA increased during the mid-secretory phase and rose to a peak in the late secretory phase. The level of cytokine mRNA expression during gestation was most akin to that observed during the mid-secretory phase. Individuals with habitual abortion presented with an abnormal expression of IL-1beta and IL-6 mRNA in endometrium, during the mid-secretory phase. Taken together, these findings are consistent with a progressive rise in the expression of cytokines in human endometrium during the secretory phase in natural cycles. Furthermore, the findings show that habitual abortion is associated with the abnormal expression of IL-1beta and IL-6 in the mid-secretory phase.
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Affiliation(s)
- M von Wolff
- Department of Pathology, North Shore University Hospital, Biomedical Science Research Center, Manhasset, NY 11030, USA
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24
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Abstract
Implantation of the blastocyst in endometrium requires establishment of a coordinated molecular dialogue between the embryo and the endometrium. Factors instrumental in the preparation of a receptive endometrium are derived from the hypothalamic-pituitary-gonadal axis. These factors modulate the expression of genes that drive the endometrium throughout the characteristic menstrual cycles. During each menstrual cycle, a series of coordinated, architectural, morphological, cytochemical, and molecular changes ultimately lead to the preparation of a receptive endometrium during the putative "receptive period" or "implantation window." It is during this critical period that a proper dialogue can be established between an intrusive blastocyst and a receptive endometrium. If, for any reason, this dialogue is not established or is perturbed, the embryo is aborted. The natural fate of the receptive endometrium, in the absence of implantation, is development of a second set of changes that ultimately lead to menstruation. The identity of the molecular repertoire that makes endometrium receptive to implantation and/or lead to menstruation is being revealed and broadly includes cytokines, heat shock factors, adhesion molecules and matrix metalloproteases. We identified a novel gene of the transforming growth factor-beta, superfamily of molecules, the so-called endometrial bleeding--associated factor or ebaf, whose expression is confined to the late secretory and menstrual phases. Various forms of female infertility were associated with dysregulated expression of ebaf during the implantation window. The findings show an occult molecular defect of endometrial receptivity that seems to be due to dysregulated and premature expression of a member of the premenstrual molecular repertoire. The dysregulated expression of ebaf may assist in the identification, prognostication, and monitoring of treatment of infertile women.
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Affiliation(s)
- S Tabibzadeh
- North Shore University Hospital, Biomedical Science Research Center, Manhasset, NY 10030, USA
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25
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Yuan L, Shan J, De Risi D, Broome J, Lovecchio J, Gal D, Vinciguerra V, Xu HP. Isolation of a novel gene, TSP50, by a hypomethylated DNA fragment in human breast cancer. Cancer Res 1999; 59:3215-21. [PMID: 10397268] [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] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
A novel gene, testes-specific protease 50 (TSP50), was isolated from a human testes cDNA library by using a genomic DNA probe, BR50. BR50 was isolated by a modified representational difference analysis (RDA) technique due to its hypomethylated feature in a breast cancer biopsy. This altered DNA methylation status was also detected by BR50 in other breast and some ovarian cancer tissues. The TSP50 gene product is a homologue to several human proteases, which indicates that it may encode a protease-like protein. Northern analysis of 16 different types of normal human tissues suggests that TSP50 was highly and specifically expressed in human testes, which indicates that it might possess a unique biological function(s) in that organ. Methylation status analysis in normal human testes and other tissues showed a correlation between DNA methylation and gene expression. Most importantly, reverse transcription-PCR analysis of 18 paired breast cancer tissues found that in 28% of the cancer samples, the TSP50 gene was differentially expressed. The possibility that TSP50 may be an oncogene is presently under investigation.
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Affiliation(s)
- L Yuan
- Molecular Oncology, Hematology/Oncology Medicine, North Shore-Long Island Jewish Health System, New York University School of Medicine, Manhasset 11030, USA
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Abstract
Human endometrium, in response to steroid hormones, undergoes characteristic cycles of proliferation, secretory changes, and tissue shedding. Human endometrium expresses a molecular repertoire which includes the heat shock proteins (Hsps) Hsp27, Hsp60, Hsp70, Hsp90, and alpha crystallin B chain. The expression of Hsp27, Hsp60, and the constitutive form of Hsp70 (Hsc70) shows a sharp increase in human endometrium after ovulation. The maximal expression of the molecular chaperone, alpha crystallin B chain, occurs during the secretory phase. In view of known functions of the Hsps, it is likely that these proteins are involved in protection of the endometrial proteins against factors with the potential to lead to protein denaturation. Tumor necrosis factor-alpha (TNF-alpha) is a cytotoxic cytokine that is produced in progressive amounts during the secretory phase. The function of the Hsps may be to protect cells against the cytotoxic damage of TNF-alpha, particularly during the critical period of "implantation window."
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Affiliation(s)
- S Tabibzadeh
- Department of Pathology, North Shore University Hospital, Biomedical Research Center, Manhasset, NY 11030, USA.
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Abstract
BACKGROUND Although the clinical presentation and imaging techniques can raise suspicion for placenta previa percreta, this potentially catastrophic condition may remain undiagnosed or its extent underappreciated until delivery. The decision to proceed with definitive surgery in cases of placenta previa percreta should be carefully considered. CASE A case of placenta previa percreta with bladder invasion was diagnosed prenatally. This case illustrates the magnitude of complications that can arise despite aggressive multidisciplinary perioperative management. CONCLUSION When possible, hysterectomy performed for placenta previa percreta is best avoided under anything other than ideal conditions. A multidisciplinary approach for preoperative, intraoperative, and postoperative management of placenta previa percreta optimizes maternal outcome.
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Affiliation(s)
- W L Leaphart
- Department of Obstetrics and Gynecology, University of Vermont, Fletcher Allen Health Care, Burlington, USA
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29
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Broome J. The value of life and the value of population. J Popul Econ 1996; 9:3-18. [PMID: 12291404 DOI: 10.1007/pl00003826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
"This paper first distinguishes structured and unstructured approaches to valuing life. The unstructured approach bases its valuations on people's raw preferences, whereas the structured approach imposes a theoretical framework about the structure of value. The paper recommends the structured approach. This opens the way to considering the value of adding people to the population. The paper examines a common intuition that adding people is not in itself valuable, and explains the difficulties this intuition encounters."
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30
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Elexpuru-Camiruaga J, Buxton N, Kandula V, Dias PS, Campbell D, McIntosh J, Broome J, Jones P, Inskip A, Alldersea J. Susceptibility to astrocytoma and meningioma: influence of allelism at glutathione S-transferase (GSTT1 and GSTM1) and cytochrome P-450 (CYP2D6) loci. Cancer Res 1995; 55:4237-9. [PMID: 7671227] [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] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
We describe a case-control study to identify associations between polymorphism at the cytochrome P-450 (CYP2D6) and glutathione S-transferase (GSTT1 and GSTM1) loci and susceptibility to astrocytoma and meningioma. Accordingly, genotype frequencies in 112 astrocytoma and 50 meningioma patients were compared with frequencies in 577 controls. GSTM1 genotype frequencies in these groups were not different. Logistic regression analysis showed GSTT1 null and CYP2D6 poor metabolizer were risk factors in astrocytoma (odds ratio = 2.67 P = 0.0005 and odds ratio = 4.17 P = 0.0043, respectively) and meningioma (odds ratio = 4.52, P = 0.0001 and odds ratio = 4.90, P = 0.0132, respectively) when corrected for the other variables. No interactive effects between genotypes were identified. The data suggest polymorphism at loci encoding carcinogen-metabolizing enzymes influences susceptibility to astrocytoma and meningioma, possibly by determining effectiveness in the detoxification of environmental carcinogens.
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31
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Zimmerman GA, Meistrell M, Bloom O, Cockroft KM, Bianchi M, Risucci D, Broome J, Farmer P, Cerami A, Vlassara H. Neurotoxicity of advanced glycation endproducts during focal stroke and neuroprotective effects of aminoguanidine. Proc Natl Acad Sci U S A 1995; 92:3744-8. [PMID: 7731977 PMCID: PMC42038 DOI: 10.1073/pnas.92.9.3744] [Citation(s) in RCA: 81] [Impact Index Per Article: 2.8] [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] [Indexed: 01/26/2023] Open
Abstract
Cerebral infarction (stroke) is a potentially disastrous complication of diabetes mellitus, principally because the extent of cortical loss is greater in diabetic patients than in nondiabetic patients. The etiology of this enhanced neurotoxicity is poorly understood. We hypothesized that advanced glycation endproducts (AGEs), which have previously been implicated in the development of other diabetic complications, might contribute to neurotoxicity and brain damage during ischemic stroke. Using a rat model of focal cerebral ischemia, we show that systemically administered AGE-modified bovine serum albumin (AGE-BSA) significantly increased cerebral infarct size. The neurotoxic effects of AGE-BSA administration were dose- and time-related and associated with a paradoxical increase in cerebral blood flow. Aminoguanidine, an inhibitor of AGE cross-linking, attenuated infarct volume in AGE-treated animals. We conclude that AGEs may contribute to the increased severity of stroke associated with diabetes and other conditions characterized by AGE accumulation.
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Affiliation(s)
- G A Zimmerman
- Department of Surgery, North Shore University Hospital, Manhasset, NY 11030, USA
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Broome J. Fairness versus doing the most good. Hastings Cent Rep 1994; 24:36-9. [PMID: 7960705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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Strange RC, Fryer AA, Matharoo B, Zhao L, Broome J, Campbell DA, Jones P, Pastor IC, Singh RV. The human glutathione S-transferases: comparison of isoenzyme expression in normal and astrocytoma brain. Biochim Biophys Acta 1992; 1139:222-8. [PMID: 1627661 DOI: 10.1016/0925-4439(92)90138-d] [Citation(s) in RCA: 30] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
We describe expression of alpha, mu and pi class glutathione S-transferases (GST) in brain tissue from 21 controls and uninfiltrated and tumour tissue from 17 glioma patients. GST were sequentially resolved by chromatofocusing into the GST2, GST1, GST5, GST2 (5.5), GST3, GST6 sets and the contribution of each to total activity determined. The immunological identity of these isoforms was studied using immunoblotting. The pi class GST3 isoform was the major contributor to activity in control tissue (70.9%) and, uninfiltrated (75.1%) and tumour samples (82.4%). Expression was significantly greater in the tumours (P less than 0.05). Expression of alpha isoforms GST2 and GST2 (5.5) was variable with most subjects demonstrating no detectable GST2 (B1 and B2 chromatofocused monomers). An isoform termed GST2 (5.5) chromatofocussed at pH 5.5 and cross-reacted with antisera to B1. It was detected in most control and glioma patients and comprised about 5% of total activity. The contribution of GST2 and GST2 (5.5) to activity was similar in control, uninfiltrated and tumour tissue. Two mu class enzymes, GST1 and GST5, were identified. GST1 isoforms were detected in 9 of 21 control samples, the phenotype of these and matched liver samples were identical. GST1 isoforms were detected in 4 of 16 tumour samples, a significantly lower incidence than in a previously established control group. GST5 was expressed in most samples, the contribution of this locus to activity was significantly reduced in the tumours (5.2%) compared with control samples (14.5%).
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Affiliation(s)
- R C Strange
- Clinical Biochemistry Research Laboratory, School of Postgraduate Medicine and Biological Sciences, University of Keele, North Staffordshire Hospital Centre, Hartshill, Stoke-on-Trent, UK
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Sun T, Schulman P, Kolitz J, Susin M, Brody J, Koduru P, Muuse W, Hombal S, Teichberg S, Broome J. A study of lymphoma of large granular lymphocytes with modern modalities: report of two cases and review of the literature. Am J Hematol 1992; 40:135-45. [PMID: 1585911 DOI: 10.1002/ajh.2830400211] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.9] [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: 12/27/2022]
Abstract
Two cases of lymphoma of large granular lymphocytes are reported. The first case expressed natural killer (NK) cell, some T-cell (CD 2, CD 5, CD 8), and HLA-DR antigens, but was negative for other T-cell (CD 3, CD 4, CD 7), T-cell receptor (TCR), B-cell, and myeloid antigens. Germline configuration was demonstrated for TCR, and immunoglobulin heavy and light chain genes. The second case expressed NK cell, some T-cell (CD 3, CD 7, CD 8), and TCR antigens, but was negative for other T-cell (CD 4, CD 5), B-cell, myeloid, and HLA-DR antigens. Rearrangement of TCR alpha and beta chains were detected. Thus, the findings of case 1 were consistent with true NK cell lineage and case 2 with NK-like T-cell lineage. Our report underscores the heterogeneity of this newly recognized lymphoma, which nevertheless carries a consistently poor prognosis and is probably more prevalent in the Asian population. This study also provides information concerning immunophenotypes of cellular infiltrates in internal organs and cytogenetic abnormalities in this lymphoma; neither has been reported frequently in the literature. The importance of detecting cytoplasmic granules in tissue imprints or electron micrographs for differentiating other T-cell lymphomas is emphasized, and the classification of large granular lymphoproliferative disorders is discussed.
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Affiliation(s)
- T Sun
- Department of Laboratories, North Shore University Hospital-Cornell University Medical College, Manhasset 11030
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Milledge JS, Beeley JM, Broome J, Luff N, Pelling M, Smith D. Acute mountain sickness susceptibility, fitness and hypoxic ventilatory response. Eur Respir J 1991. [DOI: 10.1183/09031936.93.04081000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In a party of 17 subjects who travelled together to 4,500 m, hypoxic ventilatory response (HVR) and maximum oxygen consumption (VO2max) were measured before departure. HVR was measured under constant and varying alveolar carbon dioxide tension (PACO2) conditions. VO2max was measured by both standard expired gas collection technique on a treadmill and using the "shuttle run" technique. On arrival at altitude, symptoms of acute mountain sickness (AMS) were scored daily for three days. There were no cases of severe AMS but half of the party had mild to moderate degrees of AMS. There was no correlation between AMS scores and HVR by either method of measurement or with VO2max measured by either method of measurement or with VO2max measured by treadmill or shuttle run.
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Milledge JS, Beeley JM, Broome J, Luff N, Pelling M, Smith D. Acute mountain sickness susceptibility, fitness and hypoxic ventilatory response. Eur Respir J 1991; 4:1000-3. [PMID: 1783072] [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] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In a party of 17 subjects who travelled together to 4,500 m, hypoxic ventilatory response (HVR) and maximum oxygen consumption (VO2max) were measured before departure. HVR was measured under constant and varying alveolar carbon dioxide tension (PACO2) conditions. VO2max was measured by both standard expired gas collection technique on a treadmill and using the "shuttle run" technique. On arrival at altitude, symptoms of acute mountain sickness (AMS) were scored daily for three days. There were no cases of severe AMS but half of the party had mild to moderate degrees of AMS. There was no correlation between AMS scores and HVR by either method of measurement or with VO2max measured by either method of measurement or with VO2max measured by treadmill or shuttle run.
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Affiliation(s)
- J S Milledge
- Division of Anaesthesia, Northwick Park Hospital, Harrow, UK
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Broome J. Cholesterol screening in the workplace. Occup Health (Lond) 1990; 42:72-3. [PMID: 2325977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Anagnoste B, Freedman LS, Goldstein M, Broome J, Fuxe K. Dopamine- -hydroxylase activity in mouse neuroblastoma tumors and in cell cultures. Proc Natl Acad Sci U S A 1972; 69:1883-6. [PMID: 4505666 PMCID: PMC426824 DOI: 10.1073/pnas.69.7.1883] [Citation(s) in RCA: 34] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Dopamine-beta-hydroxylase activity is present in mouse neuroblastoma C-1300 tumors. The activity is proportional to the weight of the tumor. Serum activity is markedly increased in mice that bear the tumors. Treatment of mice with 5-bromodeoxyuridine causes marked inhibition of tumor growth and decrease of dopamine-beta-hydroxylase activity in the serum. The histochemical studies reveal that 1-5% of the cells in mouse C-1300 neuroblastoma tumors contain catecholamines and that catecholamine-containing processes terminate mainly around blood vessels of the tumor. Dopamine-beta-hydroxylase is present in clonal neuroblastoma cell lines. The cell line with the greater tendency to form axon-like processes has a higher activity of this enzyme.
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Abstract
A protein mixture can be separated in a flow column by application of a transverse electrophoretic field to carry faster-migrating components of the mixture into a fixed gel bed at one side of the column, so that slower components move along in a buffer stream. The field is then reversed to returnthe faster-moving components to the buffer stream. The cycle is repeated many times to complete the separation.
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Broome J, Brown BR, Roberts A, White AMS, Goldberg AA, Wragg AH, Angus HJF, Bryce-Smith D, Amin ES, Cameron GG, Grassie N, Thomson SJ. Notes. ACTA ACUST UNITED AC 1960. [DOI: 10.1039/jr9600001406] [Citation(s) in RCA: 26] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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