Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing

被引：13

作者：

Austin, Thomas R. ^{[1
,2
]}

McHugh, Caitlin P. ^{[3
]}

Brody, Jennifer A. ^{[1
,4
]}

Bis, Joshua C. ^{[1
,4
]}

Sitlani, Colleen M. ^{[1
,4
]}

Bartz, Traci M. ^{[1
,4
,5
]}

Biggs, Mary L. ^{[1
,5
]}

Bansal, Nisha ^{[6
]}

Buzkova, Petra ^{[5
]}

Carr, Steven A. ^{[7
]}

deFilippi, Christopher R. ^{[8
]}

Elkind, Mitchell S., V ^{[9
]}

Fink, Howard A. ^{[10
]}

Floyd, James S. ^{[1
,2
,4
]}

Fohner, Alison E. ^{[1
,2
,11
]}

Gerszten, Robert E. ^{[12
]}

Heckbert, Susan R. ^{[1
,2
]}

Katz, Daniel H. ^{[12
]}

Kizer, Jorge R. ^{[13
,14
,15
,16
]}

Lemaitre, Rozenn N. ^{[1
,4
]}

Longstreth, W. T. ^{[2
,17
]}

McKnight, Barbara ^{[4
]}

Mei, Hao ^{[18
]}

Mukamal, Kenneth J. ^{[19
]}

Newman, Anne B. ^{[20
]}

Ngo, Debby ^{[19
]}

Odden, Michelle C. ^{[21
]}

Vasan, Ramachandran S. ^{[22
,23
]}

Shojaie, Ali ^{[5
]}

Simon, Noah ^{[5
]}

Smith, George Davey ^{[24
]}

Davies, Neil M. ^{[24
,25
,26
]}

Siscovick, David S. ^{[27
]}

Sotoodehnia, Nona ^{[1
,28
]}

Tracy, Russell P. ^{[29
,30
]}

Wiggins, Kerri L. ^{[1
,4
]}

Zheng, Jie ^{[24
]}

Psaty, Bruce M. ^{[1
,2
,4
,31
]}

机构：

[1] Univ Washington, Cardiovasc Hlth Res Unit, Seattle, WA 98195 USA

[2] Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA

[3] Alzheimers Dis Data Initiat, Kirkland, WA USA

[4] Univ Washington, Dept Med, Seattle, WA USA

[5] Univ Washington, Dept Biostat, Seattle, WA 98195 USA

[6] Univ Washington, Div Nephrol, Seattle, WA USA

[7] Broad Inst MIT & Harvard, Boston, MA USA

[8] Inova Heart & Vasc Inst, Falls Church, VA USA

[9] Columbia Univ, Dept Neurol, New York, NY USA

[10] Minneapolis VA Healthcare Syst, Geriatr Res Educ & Clin Ctr, Minneapolis, MN USA

[11] Univ Washington, Inst Publ Hlth Genet, Seattle, WA 98195 USA

[12] Beth Israel Deaconess Med Ctr, Div Cardiovasc Med, Boston, MA 02215 USA

[13] San Francisco VA Hlth Care Syst, Cardiol Sect, San Francisco, CA USA

[14] Univ Calif San Francisco, Dept Biostat, San Francisco, CA 94143 USA

[15] Univ Calif San Francisco, Dept Epidemol, San Francisco, CA 94143 USA

[16] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA

[17] Univ Washington, Dept Neurol, Seattle, WA 98195 USA

[18] Univ Mississippi, Med Ctr, Dept Data Sci, Jackson, MS 39216 USA

[19] Beth Israel Deaconess Med Ctr, Boston, MA 02215 USA

[20] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Epidemiol, Pittsburgh, PA 15260 USA

[21] Stanford Univ, Dept Epidemiol & Populat Hlth, Stanford, CA 94305 USA

[22] Boston Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA USA

[23] Boston Univ, Sch Med, Dept Med, Boston, MA 02118 USA

[24] Univ Bristol, Bristol Med Sch, MRC Integrat Epidemiol Unit, Bristol, Avon, England

[25] Norwegian Univ Sci & Technol, NTNU, Dept Publ Hlth & Nursing, KG Jebsen Ctr Genet Epidemiol, Norwegian, Norway

[26] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England

[27] New York Acad Med, New York, NY USA

[28] Univ Washington, Div Cardiol, Seattle, WA 98195 USA

[29] Univ Vermont, Larner Coll Med, Dept Pathol & Lab Med, Burlington, VT USA

[30] Univ Vermont, Larner Coll Med, Dept Biochem, Burlington, VT USA

[31] Univ Washington, Dept Hlth Syst & Populat Hlth, Seattle, WA 98195 USA

来源：

EUROPEAN JOURNAL OF EPIDEMIOLOGY | 2022年 / 37卷 / 07期

基金：

英国惠康基金; 英国医学研究理事会;

关键词：

Proteomics; Genomics; Cohort Study; Cardiovascular Disease; MENDELIAN RANDOMIZATION; ANTIPEPTIDE ANTIBODIES; RISK; INSTRUMENTS; BIOMARKERS; DISEASE; HEART; QUANTIFICATION; ASSOCIATION; PREDICTORS;

D O I：

10.1007/s10654-022-00888-z

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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.

引用

页码：755 / 765

页数：11

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