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Comparison of Proteomic Assessment Methods in Multiple Cohort Studies.
Raffield, Laura M; Dang, Hong; Pratte, Katherine A; Jacobson, Sean; Gillenwater, Lucas A; Ampleford, Elizabeth; Barjaktarevic, Igor; Basta, Patricia; Clish, Clary B; Comellas, Alejandro P; Cornell, Elaine; Curtis, Jeffrey L; Doerschuk, Claire; Durda, Peter; Emson, Claire; Freeman, Christine M; Guo, Xiuqing; Hastie, Annette T; Hawkins, Gregory A; Herrera, Julio; Johnson, W Craig; Labaki, Wassim W; Liu, Yongmei; Masters, Brett; Miller, Michael; Ortega, Victor E; Papanicolaou, George; Peters, Stephen; Taylor, Kent D; Rich, Stephen S; Rotter, Jerome I; Auer, Paul; Reiner, Alex P; Tracy, Russell P; Ngo, Debby; Gerszten, Robert E; O'Neal, Wanda K; Bowler, Russell P.
Afiliação
  • Raffield LM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599.
  • Dang H; Marsico Lung Institute , University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599.
  • Pratte KA; Division of Pulmonary Medicine , Department of Medicine, National Jewish Health (NJH), Denver, CO, 80206.
  • Jacobson S; Division of Pulmonary Medicine , Department of Medicine, National Jewish Health (NJH), Denver, CO, 80206.
  • Gillenwater LA; Division of Pulmonary Medicine , Department of Medicine, National Jewish Health (NJH), Denver, CO, 80206.
  • Ampleford E; Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergic and Immunologic Diseases, School of Medicine, Wake Forest University, Winston-Salem, NC, 27157.
  • Barjaktarevic I; UCLA Division of Pulmonary and Critical Care, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095.
  • Basta P; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599.
  • Clish CB; Metabolomics Platform, Broad Institute, MIT and Harvard, Cambridge, MA, 02142.
  • Comellas AP; Department of Internal Medicine, University of Iowa, Iowa City, IA, 52242.
  • Cornell E; Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, 05405.
  • Curtis JL; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, 48109.
  • Doerschuk C; VA Ann Arbor Healthcare System, Ann Arbor, MI, 48105.
  • Durda P; Marsico Lung Institute , University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599.
  • Emson C; Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, 05405.
  • Freeman CM; Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZenenca, Gaithersburg, MD, 20878.
  • Guo X; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, 48109.
  • Hastie AT; VA Ann Arbor Healthcare System, Ann Arbor, MI, 48105.
  • Hawkins GA; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, 90502.
  • Herrera J; Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergic and Immunologic Diseases, School of Medicine, Wake Forest University, Winston-Salem, NC, 27157.
  • Johnson WC; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, 27517.
  • Labaki WW; ProterixBio, LLC, Billerica, MA, 01821.
  • Liu Y; Department of Biostatistics, University of Washington, Seattle, WA, 98195.
  • Masters B; Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, 48109.
  • Miller M; Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, 27517.
  • Ortega VE; ProterixBio, LLC, Billerica, MA, 01821.
  • Papanicolaou G; ProterixBio, LLC, Billerica, MA, 01821.
  • Peters S; Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergic and Immunologic Diseases, School of Medicine, Wake Forest University, Winston-Salem, NC, 27157.
  • Taylor KD; Epidemiology Branch, Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, Bethesda, MD, 20892.
  • Rich SS; Department of Internal Medicine, Section for Pulmonary, Critical Care, Allergic and Immunologic Diseases, School of Medicine, Wake Forest University, Winston-Salem, NC, 27157.
  • Rotter JI; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, 90502.
  • Auer P; Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908.
  • Reiner AP; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, 90502.
  • Tracy RP; Zilber School of Public Health, University of Wisconsin Milwaukee, Milwaukee, WI, 53201.
  • Ngo D; Fred Hutchinson Cancer Research Center, Seattle, WA, 98109.
  • Gerszten RE; Department of Epidemiology, University of Washington, Seattle, WA, 98195.
  • O'Neal WK; Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, 05405.
  • Bowler RP; Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, VT, 05405.
Proteomics ; 20(12): e1900278, 2020 06.
Article em En | MEDLINE | ID: mdl-32386347
Novel proteomics platforms, such as the aptamer-based SOMAscan platform, can quantify large numbers of proteins efficiently and cost-effectively and are rapidly growing in popularity. However, comparisons to conventional immunoassays remain underexplored, leaving investigators unsure when cross-assay comparisons are appropriate. The correlation of results from immunoassays with relative protein quantification is explored by SOMAscan. For 63 proteins assessed in two chronic obstructive pulmonary disease (COPD) cohorts, subpopulations and intermediate outcome measures in COPD Study (SPIROMICS), and COPDGene, using myriad rules based medicine multiplex immunoassays and SOMAscan, Spearman correlation coefficients range from -0.13 to 0.97, with a median correlation coefficient of ≈0.5 and consistent results across cohorts. A similar range is observed for immunoassays in the population-based Multi-Ethnic Study of Atherosclerosis and for other assays in COPDGene and SPIROMICS. Comparisons of relative quantification from the antibody-based Olink platform and SOMAscan in a small cohort of myocardial infarction patients also show a wide correlation range. Finally, cis pQTL data, mass spectrometry aptamer confirmation, and other publicly available data are integrated to assess relationships with observed correlations. Correlation between proteomics assays shows a wide range and should be carefully considered when comparing and meta-analyzing proteomics data across assays and studies.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Proteoma / Doença Pulmonar Obstrutiva Crônica / Proteômica / Fumantes / Infarto do Miocárdio Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Proteomics Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Proteoma / Doença Pulmonar Obstrutiva Crônica / Proteômica / Fumantes / Infarto do Miocárdio Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Proteomics Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article