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Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing.
Austin, Thomas R; McHugh, Caitlin P; Brody, Jennifer A; Bis, Joshua C; Sitlani, Colleen M; Bartz, Traci M; Biggs, Mary L; Bansal, Nisha; Buzkova, Petra; Carr, Steven A; deFilippi, Christopher R; Elkind, Mitchell S V; Fink, Howard A; Floyd, James S; Fohner, Alison E; Gerszten, Robert E; Heckbert, Susan R; Katz, Daniel H; Kizer, Jorge R; Lemaitre, Rozenn N; Longstreth, W T; McKnight, Barbara; Mei, Hao; Mukamal, Kenneth J; Newman, Anne B; Ngo, Debby; Odden, Michelle C; Vasan, Ramachandran S; Shojaie, Ali; Simon, Noah; Smith, George Davey; Davies, Neil M; Siscovick, David S; Sotoodehnia, Nona; Tracy, Russell P; Wiggins, Kerri L; Zheng, Jie; Psaty, Bruce M.
  • Austin TR; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA. austintr@uw.edu.
  • McHugh CP; Department of Epidemiology, University of Washington, Seattle, WA, USA. austintr@uw.edu.
  • Brody JA; Alzheimer's Disease Data Initiative, Kirkland, WA, USA.
  • Bis JC; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Sitlani CM; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Bartz TM; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Biggs ML; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Bansal N; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Buzkova P; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Carr SA; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • deFilippi CR; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Elkind MSV; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Fink HA; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Floyd JS; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Fohner AE; Division of Nephrology, University of Washington, Seattle, WA, USA.
  • Gerszten RE; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Heckbert SR; Broad Institute of MIT and Harvard, Boston, MA, USA.
  • Katz DH; Inova Heart and Vascular Institute, Falls Church, VA, USA.
  • Kizer JR; Department of Neurology, Columbia University, New York, NY, USA.
  • Lemaitre RN; Geriatric Research Education & Clinical Center, Minneapolis VA Healthcare System, Minneapolis, MN, USA.
  • Longstreth WT; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • McKnight B; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Mei H; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Mukamal KJ; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Newman AB; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Ngo D; Institute of Public Health Genetics, University of Washington, Seattle, WA, USA.
  • Odden MC; Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Vasan RS; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Shojaie A; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Simon N; Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Smith GD; Cardiology Section, San Francisco VA Health Care System, San Francisco, CA, USA.
  • Davies NM; Department of Biostatistics, University of California San Francisco, San Francisco, CA, USA.
  • Siscovick DS; Department of Epidemology, University of California San Francisco, San Francisco, CA, USA.
  • Sotoodehnia N; Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Tracy RP; Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.
  • Wiggins KL; Department of Medicine, University of Washington, Seattle, WA, USA.
  • Zheng J; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Psaty BM; Department of Neurology, University of Washington, Seattle, WA, USA.
Eur J Epidemiol ; 37(7): 755-765, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35790642
ABSTRACT

BACKGROUND:

In the last decade, genomic studies have identified and replicated thousands of genetic associations with measures of health and disease and contributed to the understanding of the etiology of a variety of health conditions. Proteins are key biomarkers in clinical medicine and often drug-therapy targets. Like genomics, proteomics can advance our understanding of biology. METHODS AND

RESULTS:

In the setting of the Cardiovascular Health Study (CHS), a cohort study of older adults, an aptamer-based method that has high sensitivity for low-abundance proteins was used to assay 4979 proteins in frozen, stored plasma from 3188 participants (61% women, mean age 74 years). CHS provides active support, including central analysis, for seven phenotype-specific working groups (WGs). Each CHS WG is led by one or two senior investigators and includes 10 to 20 early or mid-career scientists. In this setting of mentored access, the proteomic data and analytic methods are widely shared with the WGs and investigators so that they may evaluate associations between baseline levels of circulating proteins and the incidence of a variety of health outcomes in prospective cohort analyses. We describe the design of CHS, the CHS Proteomics Study, characteristics of participants, quality control measures, and structural characteristics of the data provided to CHS WGs. We additionally highlight plans for validation and replication of novel proteomic associations.

CONCLUSION:

The CHS Proteomics Study offers an opportunity for collaborative data sharing to improve our understanding of the etiology of a variety of health conditions in older adults.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Difusión de la Información / Proteómica Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Difusión de la Información / Proteómica Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male Idioma: En Año: 2022 Tipo del documento: Article