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Romics L, Ingham A, Sophia S, Mansell J, Arthur L, Campbell J, Seth A, Reid J, Loane J, Wilson C, Doughty J. Targeted axillary dissection or sentinel node biopsy after neo-adjuvant treatment in clinically node positive patients – the West of Scotland experience. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01391-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, Ingham A, McClain MT, Tsalik EL, Ko ER, Ginsburg GS, DeLong MR, Shen X, Woods CW, Hauser ER, Ko DC. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. Genome Med 2021; 13:83. [PMID: 34001247 PMCID: PMC8127495 DOI: 10.1186/s13073-021-00904-z] [Citation(s) in RCA: 32] [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] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/05/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND While genome-wide associations studies (GWAS) have successfully elucidated the genetic architecture of complex human traits and diseases, understanding mechanisms that lead from genetic variation to pathophysiology remains an important challenge. Methods are needed to systematically bridge this crucial gap to facilitate experimental testing of hypotheses and translation to clinical utility. RESULTS Here, we leveraged cross-phenotype associations to identify traits with shared genetic architecture, using linkage disequilibrium (LD) information to accurately capture shared SNPs by proxy, and calculate significance of enrichment. This shared genetic architecture was examined across differing biological scales through incorporating data from catalogs of clinical, cellular, and molecular GWAS. We have created an interactive web database (interactive Cross-Phenotype Analysis of GWAS database (iCPAGdb)) to facilitate exploration and allow rapid analysis of user-uploaded GWAS summary statistics. This database revealed well-known relationships among phenotypes, as well as the generation of novel hypotheses to explain the pathophysiology of common diseases. Application of iCPAGdb to a recent GWAS of severe COVID-19 demonstrated unexpected overlap of GWAS signals between COVID-19 and human diseases, including with idiopathic pulmonary fibrosis driven by the DPP9 locus. Transcriptomics from peripheral blood of COVID-19 patients demonstrated that DPP9 was induced in SARS-CoV-2 compared to healthy controls or those with bacterial infection. Further investigation of cross-phenotype SNPs associated with both severe COVID-19 and other human traits demonstrated colocalization of the GWAS signal at the ABO locus with plasma protein levels of a reported receptor of SARS-CoV-2, CD209 (DC-SIGN). This finding points to a possible mechanism whereby glycosylation of CD209 by ABO may regulate COVID-19 disease severity. CONCLUSIONS Thus, connecting genetically related traits across phenotypic scales links human diseases to molecular and cellular measurements that can reveal mechanisms and lead to novel biomarkers and therapeutic approaches. The iCPAGdb web portal is accessible at http://cpag.oit.duke.edu and the software code at https://github.com/tbalmat/iCPAGdb .
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Affiliation(s)
- Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA
| | - Thomas J Balmat
- Duke Research Computing, Duke University, Durham, NC, 27710, USA
| | - Alejandro L Antonia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA
| | - Florica J Constantine
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Ricardo Henao
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Thomas W Burke
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Andy Ingham
- Duke Research Computing, Duke University, Durham, NC, 27710, USA
| | - Micah T McClain
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC, 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Ephraim L Tsalik
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC, 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Emily R Ko
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Department of Hospital Medicine, Duke Regional Hospital, Durham, NC, 27705, USA
| | - Geoffrey S Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
| | - Mark R DeLong
- Duke Research Computing, Duke University, Durham, NC, 27710, USA
| | - Xiling Shen
- Department of Biomedical Engineering, Woo Center for Big Data and Precision Health, Duke University, Durham, NC, 27710, USA
| | - Christopher W Woods
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC, 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC, 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute and Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, 27710, USA
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, 27705, USA
| | - Dennis C Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, 0049 CARL Building Box 3053, 213 Research Drive, Durham, NC, 27710, USA.
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC, 27710, USA.
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la Cour Freiesleben N, Egerup P, Hviid KVR, Severinsen ER, Kolte AM, Westergaard D, Fich Olsen L, Prætorius L, Zedeler A, Christiansen AMH, Nielsen JR, Bang D, Berntsen S, Ollé-López J, Ingham A, Bello-Rodríguez J, Storm DM, Ethelberg-Findsen J, Hoffmann ER, Wilken-Jensen C, Jørgensen FS, Westh H, Jørgensen HL, Nielsen HS. SARS-CoV-2 in first trimester pregnancy: a cohort study. Hum Reprod 2021; 36:40-47. [PMID: 33145598 PMCID: PMC7665455 DOI: 10.1093/humrep/deaa311] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 10/16/2020] [Indexed: 12/22/2022] Open
Abstract
Study question Does maternal infection with SARS-CoV-2 in first trimester pregnancy have an impact on the fetal development as measured by nuchal translucency thickness and pregnancy loss? Summary answer Nuchal translucency thickness at the first trimester scan was not significantly different in pregnant women with versus without SARS-CoV-2 infection in early pregnancy and there was no significant increased risk of pregnancy loss in women with SARS-CoV-2 infection in the first trimester. What is known already Pregnant women are more vulnerable to viral infections. Previous coronavirus epidemics have been associated with increased maternal morbidity, mortality and adverse obstetric outcomes. Currently, no evidence exists regarding possible effects of SARS-CoV-2 in first trimester pregnancies. Study design, size, duration Cohort study of 1,019 women with a double test taken between Feb. 17 and Apr. 23, 2020, as a part of the combined first trimester risk assessment, and 36 women with a first trimester pregnancy loss between Apr. 14 and May 21, 2020, prior to the double test. The study period was during the first SARS-CoV-2 epidemic wave in Denmark. Participants/materials, setting, methods Cohort 1 included pregnant women with a double test taken within the study period. The excess serum from each double test was analyzed for SARS-CoV-2 antibodies. Results were correlated to the nuchal translucency thickness and the number of pregnancy losses before or at the time of the first trimester scan. Cohort 2 included women with a pregnancy loss before the gestational age for double test sample. Serum from a blood test taken the day the pregnancy loss was identified was analyzed for SARS-CoV-2 antibodies. The study was conducted at a public university hospital serving approximately 12% of pregnant women and births in Denmark. All participants in the study provided written informed consent. Main results and the role of chance Eighteen (1.8%) women had SARS-CoV-2 antibodies in the serum from the double test suggestive of SARS-CoV-2 infection in early pregnancy. There was no significant difference in nuchal translucency thickness for women testing positive for previous SARS-CoV-2 infection (n = 18) versus negative (n = 994) (p = 0.62). There was no significant increased risk of pregnancy loss for women with positive antibodies (n = 1) (OR 3.4, 0.08-24.3 95% CI, p = 0.27). None of the women had been hospitalized due to SARS-CoV-2 infection. None of the women with pregnancy loss prior to the double test (Cohort 2) had SARS-CoV-2 antibodies. Limitations, reasons for caution These results may only apply to similar populations and to patients who do not require hospitalization due to SARS-CoV-2 infection. A limitation of the study is that only 1.8% of the study population had SARS-CoV-2 antibodies suggestive of previous infection. Wider implication of the findings Maternal SARS-CoV-2 infection had no effect on the nuchal translucency thickness and there was no significant increased risk of pregnancy loss for women with SARS-CoV-2 infection in first trimester pregnancy. Evidence concerning Covid-19 in pregnancy is still limited. These data indicate that infection with SARS-CoV-2 in not hospitalized women does not pose a significant threat in first trimester pregnancies. Follow up studies are needed to establish any risk to a fetus exposed to maternal SARS-CoV-2 infection. Study funding/competing interest(s) Prof. Henriette Svarre Nielsen (HSN) and colleagues received a grant from the Danish Government for research of Covid-19 among pregnant women. The Danish government was not involved in the study design, data collection, analysis, interpretation of data, writing of the report or decision to submit the paper for publication. AI, JOL, JBR, DMS, JEF, and ERH received funding from a Novo Nordisk Foundation (NNF) Young Investigator Grant (NNF15OC0016662) and a Danish National Science Foundation Center Grant (6110-00344B). AI received a Novo Scholarship. JOL is funded by an NNF Pregraduate Fellowship (NNF19OC0058982). DW is funded by the NNF (NNF18SA0034956, NNF14CC0001, NNF17OC0027594). AMK is funded by a grant from the Rigshospitalet’s research fund. Henriette Svarre Nielsen has received speakeŕs fees from Ferring Pharmaceuticals, Merck Denmark A/S and Ibsa Nordic (outside the submitted work). Nina la Cour Freiesleben has received a grant from Gedeon Richter (outside the submitted work). Astrid Marie Kolte has received speakeŕs from Merck (outside the submitted work). The other authors did not report any potential conflicts of interest.
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Affiliation(s)
- N la Cour Freiesleben
- Department of Obstetrics and Gynaecology, The Fertility Clinic, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - P Egerup
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - K V R Hviid
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - E R Severinsen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - A M Kolte
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark.,The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals Rigshospitalet & Hvidovre Hospital, Denmark
| | - D Westergaard
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark.,Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, DK-2200 Copenhagen, Denmark.,Methods and Analysis, Statistics Denmark, DK-2100, Copenhagen, Denmark
| | - L Fich Olsen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - L Prætorius
- Department of Obstetrics and Gynaecology, The Fertility Clinic, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - A Zedeler
- Department of Obstetrics and Gynaecology, The Fertility Clinic, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - A-M H Christiansen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - J R Nielsen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - D Bang
- Department of Clinical Microbiology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - S Berntsen
- Department of Obstetrics and Gynaecology, The Fertility Clinic, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - J Ollé-López
- DNRF Center for Chromosome Stability (CCS), Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - A Ingham
- DNRF Center for Chromosome Stability (CCS), Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - J Bello-Rodríguez
- DNRF Center for Chromosome Stability (CCS), Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - D M Storm
- DNRF Center for Chromosome Stability (CCS), Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - J Ethelberg-Findsen
- DNRF Center for Chromosome Stability (CCS), Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - E R Hoffmann
- DNRF Center for Chromosome Stability (CCS), Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
| | - C Wilken-Jensen
- Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - F S Jørgensen
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark.,Fetal Medicine Unit, Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - H Westh
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark.,Department of Clinical Microbiology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - H L Jørgensen
- Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark.,Department of Clinical Biochemistry, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - H S Nielsen
- Department of Obstetrics and Gynaecology, The Fertility Clinic, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark.,Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark.,Department of Obstetrics and Gynaecology, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark.,The Recurrent Pregnancy Loss Unit, The Capital Region, Copenhagen University Hospitals Rigshospitalet & Hvidovre Hospital, Denmark
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Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, Ingham A, McClain MT, Tsalik EL, Ko ER, Ginsburg GS, DeLong MR, Shen X, Woods CW, Hauser ER, Ko DC. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. medRxiv 2020:2020.12.20.20248572. [PMID: 33398303 PMCID: PMC7781346 DOI: 10.1101/2020.12.20.20248572] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
While genome-wide associations studies (GWAS) have successfully elucidated the genetic architecture of complex human traits and diseases, understanding mechanisms that lead from genetic variation to pathophysiology remains an important challenge. Methods are needed to systematically bridge this crucial gap to facilitate experimental testing of hypotheses and translation to clinical utility. Here, we leveraged cross-phenotype associations to identify traits with shared genetic architecture, using linkage disequilibrium (LD) information to accurately capture shared SNPs by proxy, and calculate significance of enrichment. This shared genetic architecture was examined across differing biological scales through incorporating data from catalogs of clinical, cellular, and molecular GWAS. We have created an interactive web database (interactive Cross-Phenotype Analysis of GWAS database (iCPAGdb); http://cpag.oit.duke.edu) to facilitate exploration and allow rapid analysis of user-uploaded GWAS summary statistics. This database revealed well-known relationships among phenotypes, as well as the generation of novel hypotheses to explain the pathophysiology of common diseases. Application of iCPAGdb to a recent GWAS of severe COVID-19 demonstrated unexpected overlap of GWAS signals between COVID-19 and human diseases, including with idiopathic pulmonary fibrosis driven by the DPP9 locus. Transcriptomics from peripheral blood of COVID-19 patients demonstrated that DPP9 was induced in SARS-CoV-2 compared to healthy controls or those with bacterial infection. Further investigation of cross-phenotype SNPs with severe COVID-19 demonstrated colocalization of the GWAS signal of the ABO locus with plasma protein levels of a reported receptor of SARS-CoV-2, CD209 (DC-SIGN), pointing to a possible mechanism whereby glycosylation of CD209 by ABO may regulate COVID-19 disease severity. Thus, connecting genetically related traits across phenotypic scales links human diseases to molecular and cellular measurements that can reveal mechanisms and lead to novel biomarkers and therapeutic approaches.
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Affiliation(s)
- Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | | | - Alejandro L. Antonia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Florica J. Constantine
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Ricardo Henao
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Thomas W. Burke
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Andy Ingham
- Duke Research Computing, Duke University, Durham, NC 27710, USA
| | - Micah T. McClain
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Ephraim L. Tsalik
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Emily R. Ko
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Department of Hospital Medicine, Duke Regional Hospital, Durham, NC, 27705, USA
| | - Geoffrey S. Ginsburg
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
| | - Mark R. DeLong
- Duke Research Computing, Duke University, Durham, NC 27710, USA
| | - Xiling Shen
- Department of Biomedical Engineering, Woo Center for Big Data and Precision Health, Duke University, Durham, NC 27710, USA
| | - Christopher W. Woods
- Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA
- Durham Veterans Affairs Health Care System, Durham, NC 27705, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Elizabeth R. Hauser
- Duke Molecular Physiology Institute and Department of Biostatistics and Bioinformatics, Duke University Medical Center Durham, NC 27710, USA
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC 27705, USA
| | - Dennis C. Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
- Lead contact
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Madden S, Collett D, Walton P, Empson K, Forsythe J, Ingham A, Morgan K, Murphy P, Neuberger J, Gardiner D. The effect on consent rates for deceased organ donation in Wales after the introduction of an opt-out system. Anaesthesia 2020; 75:1146-1152. [PMID: 32372409 PMCID: PMC7496553 DOI: 10.1111/anae.15055] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2020] [Indexed: 01/19/2023]
Abstract
Organ transplantation saves and transforms lives. Failure to secure consent for organ retrieval is widely regarded as the single most important obstacle to transplantation. A soft opt‐out system of consent for deceased organ donation was introduced into Wales in December 2015, whilst England maintained the existing opt‐in system. Cumulative data on consent rates in Wales were compared with those in England, using a two‐sided sequential procedure that was powered to detect an absolute difference in consent rates between England and Wales of 10%. Supplementary risk‐adjusted logistic regression analysis examined whether any difference in consent rates between the two nations could be attributed to variations in factors known to influence UK consent rates. Between 1 January 2016 and 31 December 2018, 8192 families of eligible donors in England and 474 in Wales were approached regarding organ donation, with overall consent rates of 65% and 68%, respectively. There was a steady upward trend in the proportion of families consenting to donation after brain death in Wales as compared with England and after 33 months, this reached statistical significance. No evidence of any change in the donation after circulatory death consent rate was observed. Risk‐adjusted logistic regression analysis revealed that by the end of the study period the probability of consent to organ donation in Wales was higher than in England (OR [95%CI] 2.1 [1.26–3.41]). The introduction of a soft opt‐out system of consent in Wales significantly increased organ donation consent though the impact was not immediate.
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Affiliation(s)
- S Madden
- NHS Blood and Transplant, Bristol, UK
| | - D Collett
- NHS Blood and Transplant, Bristol, UK
| | - P Walton
- NHS Blood and Transplant, Bristol, UK
| | - K Empson
- Cardiff and Vale University Health Board, Cardiff, UK
| | | | - A Ingham
- Betsi Cadwaladr University Health Board, Bangor, UK
| | - K Morgan
- Public Health Wales, Cardiff, UK
| | - P Murphy
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
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Wang L, Pittman KJ, Barker JR, Salinas RE, Stanaway IB, Williams GD, Carroll RJ, Balmat T, Ingham A, Gopalakrishnan AM, Gibbs KD, Antonia AL, Heitman J, Lee SC, Jarvik GP, Denny JC, Horner SM, DeLong MR, Valdivia RH, Crosslin DR, Ko DC. An Atlas of Genetic Variation Linking Pathogen-Induced Cellular Traits to Human Disease. Cell Host Microbe 2018; 24:308-323.e6. [PMID: 30092202 PMCID: PMC6093297 DOI: 10.1016/j.chom.2018.07.007] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [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: 03/05/2018] [Revised: 05/28/2018] [Accepted: 07/05/2018] [Indexed: 12/18/2022]
Abstract
Pathogens have been a strong driving force for natural selection. Therefore, understanding how human genetic differences impact infection-related cellular traits can mechanistically link genetic variation to disease susceptibility. Here we report the Hi-HOST Phenome Project (H2P2): a catalog of cellular genome-wide association studies (GWAS) comprising 79 infection-related phenotypes in response to 8 pathogens in 528 lymphoblastoid cell lines. Seventeen loci surpass genome-wide significance for infection-associated phenotypes ranging from pathogen replication to cytokine production. We combined H2P2 with clinical association data from patients to identify a SNP near CXCL10 as a risk factor for inflammatory bowel disease. A SNP in the transcriptional repressor ZBTB20 demonstrated pleiotropy, likely through suppression of multiple target genes, and was associated with viral hepatitis. These data are available on a web portal to facilitate interpreting human genome variation through the lens of cell biology and should serve as a rich resource for the research community.
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Affiliation(s)
- Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Kelly J Pittman
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Jeffrey R Barker
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Raul E Salinas
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Ian B Stanaway
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Graham D Williams
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Robert J Carroll
- Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN 37212, USA
| | - Tom Balmat
- Social Science Research Institute, Duke University, Durham, NC 27710, USA
| | - Andy Ingham
- Duke Research Computing, Duke University, Durham, NC 27710, USA
| | - Anusha M Gopalakrishnan
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Kyle D Gibbs
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Alejandro L Antonia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Joseph Heitman
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA; Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Soo Chan Lee
- South Texas Center for Emerging Infectious Diseases (STCEID), Department of Biology, College of Sciences, the University of Texas at San Antonio, San Antonio, TX 78249, USA
| | - Gail P Jarvik
- Department of Medicine, Division of Medical Genetics, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Joshua C Denny
- Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN 37212, USA
| | - Stacy M Horner
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA; Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA
| | - Mark R DeLong
- Duke Research Computing, Duke University, Durham, NC 27710, USA
| | - Raphael H Valdivia
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Dennis C Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA; Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC 27710, USA.
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Davies J, Ingham A. An in-vitro-in-vivo model for the transdermal delivery of cholecalciferol for the purposes of rodent management. Int J Pharm 2015; 487:101-9. [PMID: 25835266 PMCID: PMC4441109 DOI: 10.1016/j.ijpharm.2015.03.055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2014] [Revised: 03/24/2015] [Accepted: 03/27/2015] [Indexed: 11/17/2022]
Abstract
The natural selection of anticoagulant resistant rats has resulted in a need for an alternative to anticoagulant rodenticides which differs in both active ingredient and in the method of dosing. Cholecalciferol toxicity to rodents using the dermal route is demonstrated using a variety of penetration enhancing formulations in two in-vitro models and finally in-vivo. A 1 ml dose of 50/50 (v/v) DMSO/ethanol containing 15% (v/v) PEG 200 and 20% (w/v) cholecalciferol was judged as 'sufficiently effective' in line with the European Union's Biocidal Products Regulation (No. 528/2012) during in-vivo studies. This dose was found to cause 100% mortality in a rat population in 64.4h (± 22h).
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Affiliation(s)
- J Davies
- School of Life and Health Sciences, Aston University, Aston Triangle, Birmingham B4 7ET, UK
| | - A Ingham
- School of Pharmacy, School of Life and Health Sciences, Aston University, Aston Triangle, Birmingham B4 7ET, UK.
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Menzies M, Reverter A, Andronicos N, Hunt P, Windon R, Ingham A. Nematode challenge induces differential expression of oxidant, antioxidant and mucous genes down the longitudinal axis of the sheep gut. Parasite Immunol 2010; 32:36-46. [PMID: 20042006 DOI: 10.1111/j.1365-3024.2009.01156.x] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
To characterize the role of a range of oxidant, antioxidant and mucous-related genes in the primary response to gastrointestinal nematodes, groups of genetically resistant sheep were challenged with either Haemonchus contortus or Trichostrongylus colubriformis and necropsied for retrieval of tissue at days 0, 3, 7, 14 and 21. To determine if the response was localized to the site of parasite infection, four different gut tissues were sampled: the abomasum, proximal and distal jejunum and ileum. Basal expression patterns of all candidate genes were determined using the day 0 (pre-challenge) samples. A conserved innate response involving elevated expression of dual oxidase, glutathione peroxidase and trefoil factor was initiated within 3 days of challenge and extended out to 21 days. An increase in host gene expression levels at the preferred site of infection (the abomasum for H. contortus and the proximal jejunum for T. colubriformis) was also common to both nematodes. However, these increases were concomitant with reduced expression in other areas of the gut suggesting a compartmentalized response. Other aspects of the response were parasite-specific, with T. colubriformis challenge inducing expression peaks at times corresponding to nematode life-stage transitions.
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Affiliation(s)
- M Menzies
- CSIRO Livestock Industries, St Lucia, Qld 4067, Australia
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9
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Wang YH, Reverter A, Kemp D, McWilliam SM, Ingham A, Davis CA, Moore RJ, Lehnert SA. Gene expression profiling of Hereford Shorthorn cattle following challenge with Boophilus microplus tick larvae. ACTA ACUST UNITED AC 2007. [DOI: 10.1071/ea07012] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The ability of cattle to resist tick infestations is partly genetically determined. In order to better define the nature of Bos taurus resistance to the cattle tick Boophilus microplus, skin gene expression was studied using a cattle skin derived cDNA microarray. Expression profiles were determined in skin biopsies sampled from three highly tick resistant animals (HR) and two animals with lower tick resistance (LR) at time 0, immediately before challenge, and again 24 h after challenge. The analysis of the resulting expression data addressed two biological questions: first, for any animal exposed to ticks, which genes are differentially expressed in the 24 h following challenge; and second, which genes are differentially expressed between animals of high and low resistance at 24 h after challenge? In total, 214 genes were found to be differentially expressed in response to larval challenge across all the animals. Seventy-two genes were upregulated and 76 were downregulated at 24 h after challenge. Genes with significantly altered gene expression levels following tick infestation were predominantly keratin genes or mitochondrial genes, as well as odorant binding protein (OBP) and Bos taurus major allergen BDA20. In addition, we identified 66 genes with differential expression between HR and LR animals at 24 h. Of these, genes representing the extracellular matrix and immunoglobulin gene expression pathways were overrepresented. Three differentially expressed genes, OBP, Bos taurus major allergen BDA20 and dendritic cell protein HFL-B5 were further analysed by quantitative reverse transcription PCR (qRT-PCR). The qRT-PCR assay results closely mirrored the expression profiles found in the microarray experiment.
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10
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Abstract
Experiments that aim to identify genes of importance in sheep are currently inhibited by a paucity of genomic resources. One approach, therefore, is to exploit the wealth of data and associated capabilities becoming available for the bovine genome. Cross-species application of microarrays and comparative sequencing to identify single nucleotide polymorphisms are two possibilities; however, both are dependant on the level of nucleotide sequence similarity between the two species. This study used 120 gene orthologues consisting of over 60 kb of aligned sequence to estimate the gene diversity between cattle and sheep. Less than 3% of protein-coding nucleotide positions were found to be different, indicating that the prospect for successfully using cross-species strategies is high. Substitution at synonymous sites ranged between 6.9 and 7.7% (+/- 0.3%), and was higher than at non-synonymous sites (1.4-1.7 +/- 0.1%). The relative rate test was used to determine whether the observed mutation rates were constant between the two lineages. While the rate at synonymous sites appeared constant, the rate at non-synonymous sites was significantly higher within the caprinae lineage (sheep) when compared with bovinae (cattle; chi2 = 10.03; d.f. = 1, P < 0.01). This is the first demonstration that variable rates of molecular evolution may be present within the family Bovidae.
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Affiliation(s)
- J W Kijas
- CSIRO Livestock Industries, Level 5 Queensland Bioscience Precinct, 306 Carmody Road, St Lucia 4067, Australia.
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12
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Abstract
Type 4 fimbriae have been identified on the cell surface of Actinobacillus pleuropneumoniae by electron microscopy and N-terminal sequencing analysis. A. pleuropneumoniae type 4 fimbrial subunit protein, purified from cell cultures and from outer membrane preparations, reacted with polyclonal antibody raised against type 4 fimbriae of Moraxella bovis on Western blots. N-terminal sequence analysis of the purified 17 kDa type 4 fimbrial subunit protein, named ApfA, revealed the first 12 amino acids to be identical to those of other type 4 fimbrial subunit proteins.
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Affiliation(s)
- Y Zhang
- CSIRO Animal Health, Australian Animal Health Laboratory, Private Bag 24, 3220, Geelong, Vic., Australia.
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13
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Abstract
This literature review is an exploration of the available literature on and surrounding the subject of touch in order to help nurses to understand this subject and use touch effectively in nursing care. The study is focused particularly on the use of touch in intensive care as this is the area of interest of the author, and several writers have suggested touch is of great importance in this area. The literature on communication in all its forms and particularly in intensive care is discussed first as this explains the framework in which touch occurs and how it fits into nursing care. Theories about touch and studies of the use of touch are linked to try to show the human need, and taboos about touch. This is related to the use of touch by nurses and other health care workers particularly in intensive care. Recommendations are made, from the information gained from the literature, about how nurses' use of touch as part of nursing care can be improved.
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Ingham A. The psychological response of patients to admission to coronary care for heart disease, and its' effects on rehabilitation. Intensive Care Nurs 1988; 4:24-33. [PMID: 3351277 DOI: 10.1016/0266-612x(88)90020-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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Ingham A, Tietz R. Aspiration Levels in Bargaining and Economic Decision Making. J R Stat Soc Ser C Appl Stat 1984. [DOI: 10.2307/2347718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Carwardine PC, Ingham A. Metronidazole and melanoma. Vet Rec 1978; 102:110-1. [PMID: 636252 DOI: 10.1136/vr.102.5.110] [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: 12/23/2022]
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Ingham A. Immune Suppression, Gliomas, and Tuberculosis. West J Med 1972. [DOI: 10.1136/bmj.1.5796.375-c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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