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

Thomas R. Austin; Caitlin P. McHugh; Jennifer A. Brody; Joshua C. Bis; Colleen M. Sitlani; Traci M. Bartz; Mary L. Biggs; Nisha Bansal; Petra Buzkova; Steven A. Carr; Christopher R. deFilippi; Mitchell S.V. Elkind; Howard A. Fink; James S. Floyd; Alison E. Fohner; Robert E. Gerszten; Susan R. Heckbert; Daniel H. Katz; Jorge R. Kizer; Rozenn N. Lemaitre; W. T. Longstreth; Barbara McKnight; Hao Mei; Kenneth J. Mukamal; Anne B. Newman; Debby Ngo; Michelle C. Odden; Ramachandran S. Vasan; Ali Shojaie; Noah Simon; George Davey Smith; Neil M. Davies; David S. Siscovick; Nona Sotoodehnia; Russell P. Tracy; Kerri L. Wiggins; Jie Zheng; Bruce M. Psaty

doi:10.1007/s10654-022-00888-z

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

Thomas R. Austin, Caitlin P. McHugh, Jennifer A. Brody, Joshua C. Bis, Colleen M. Sitlani, Traci M. Bartz, Mary L. Biggs, Nisha Bansal, Petra Buzkova, Steven A. Carr, Christopher R. deFilippi, Mitchell S.V. Elkind, Howard A. Fink, James S. Floyd, Alison E. Fohner, Robert E. Gerszten, Susan R. Heckbert, Daniel H. Katz, Jorge R. Kizer, Rozenn N. LemaitreW. T. Longstreth, Barbara McKnight, Hao Mei, Kenneth J. Mukamal, Anne B. Newman, Debby Ngo, Michelle C. Odden, Ramachandran S. Vasan, Ali Shojaie, Noah Simon, George Davey Smith, Neil M. Davies, David S. Siscovick, Nona Sotoodehnia, Russell P. Tracy, Kerri L. Wiggins, Jie Zheng, Bruce M. Psaty

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English (US)
Pages (from-to)	755-765
Number of pages	11
Journal	European Journal of Epidemiology
Volume	37
Issue number	7
DOIs	https://doi.org/10.1007/s10654-022-00888-z
State	Published - Jul 2022

Bibliographical note

Funding Information:
This research was supported by contracts 75N92021D00006, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086 and R01HL132320, and grants U01HL080295, U01HL130114, and HL144483 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from RF1AG063507 from the national Institute of Aging, and from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS‐NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH). ND and GDS work in a Unit supported by the Medical Research Council (MC_UU_00011/1) and the University of Bristol. JZ is supported by the Academy of Medical Sciences (AMS) Springboard Award, the Wellcome Trust, the Government Department of Business, Energy and Industrial Strategy (BEIS), the British Heart Foundation and Diabetes UK (SBF006\1117).

Funding Information:
This research was supported by contracts 75N92021D00006, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086 and R01HL132320, and grants U01HL080295, U01HL130114, and HL144483 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from RF1AG063507 from the national Institute of Aging, and from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS‐NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH). ND and GDS work in a Unit supported by the Medical Research Council (MC_UU_00011/1) and the University of Bristol. JZ is supported by the Academy of Medical Sciences (AMS) Springboard Award, the Wellcome Trust, the Government Department of Business, Energy and Industrial Strategy (BEIS), the British Heart Foundation and Diabetes UK (SBF006\1117).

Publisher Copyright:
© 2022, Springer Nature B.V.

Keywords

Cardiovascular Disease
Cohort Study
Genomics
Proteomics

PubMed: MeSH publication types

Journal Article

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10654-022-00888-z

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Austin, T. R., McHugh, C. P., Brody, J. A., Bis, J. C., Sitlani, C. M., Bartz, T. M., Biggs, M. L., Bansal, N., Buzkova, P., Carr, S. A., deFilippi, C. R., Elkind, M. S. V., Fink, H. A., Floyd, J. S., Fohner, A. E., Gerszten, R. E., Heckbert, S. R., Katz, D. H., Kizer, J. R., ... Psaty, B. M. (2022). Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing. European Journal of Epidemiology, 37(7), 755-765. https://doi.org/10.1007/s10654-022-00888-z

Austin, TR, McHugh, CP, Brody, JA, Bis, JC, Sitlani, CM, Bartz, TM, Biggs, ML, Bansal, N, Buzkova, P, Carr, SA, deFilippi, CR, Elkind, MSV, Fink, HA, Floyd, JS, Fohner, AE, Gerszten, RE, Heckbert, SR, Katz, DH, Kizer, JR, Lemaitre, RN, Longstreth, WT, McKnight, B, Mei, H, Mukamal, KJ, Newman, AB, Ngo, D, Odden, MC, Vasan, RS, Shojaie, A, Simon, N, Smith, GD, Davies, NM, Siscovick, DS, Sotoodehnia, N, Tracy, RP, Wiggins, KL, Zheng, J & Psaty, BM 2022, 'Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing', European Journal of Epidemiology, vol. 37, no. 7, pp. 755-765. https://doi.org/10.1007/s10654-022-00888-z

@article{4ddbd50faddc40aea157b9ed8448ee04,

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

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.",

keywords = "Cardiovascular Disease, Cohort Study, Genomics, Proteomics",

author = "Austin, {Thomas R.} and McHugh, {Caitlin P.} and Brody, {Jennifer A.} and Bis, {Joshua C.} and Sitlani, {Colleen M.} and Bartz, {Traci M.} and Biggs, {Mary L.} and Nisha Bansal and Petra Buzkova and Carr, {Steven A.} and deFilippi, {Christopher R.} and Elkind, {Mitchell S.V.} and Fink, {Howard A.} and Floyd, {James S.} and Fohner, {Alison E.} and Gerszten, {Robert E.} and Heckbert, {Susan R.} and Katz, {Daniel H.} and Kizer, {Jorge R.} and Lemaitre, {Rozenn N.} and Longstreth, {W. T.} and Barbara McKnight and Hao Mei and Mukamal, {Kenneth J.} and Newman, {Anne B.} and Debby Ngo and Odden, {Michelle C.} and Vasan, {Ramachandran S.} and Ali Shojaie and Noah Simon and Smith, {George Davey} and Davies, {Neil M.} and Siscovick, {David S.} and Nona Sotoodehnia and Tracy, {Russell P.} and Wiggins, {Kerri L.} and Jie Zheng and Psaty, {Bruce M.}",

note = "Funding Information: This research was supported by contracts 75N92021D00006, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086 and R01HL132320, and grants U01HL080295, U01HL130114, and HL144483 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from RF1AG063507 from the national Institute of Aging, and from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS‐NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH). ND and GDS work in a Unit supported by the Medical Research Council (MC_UU_00011/1) and the University of Bristol. JZ is supported by the Academy of Medical Sciences (AMS) Springboard Award, the Wellcome Trust, the Government Department of Business, Energy and Industrial Strategy (BEIS), the British Heart Foundation and Diabetes UK (SBF006\1117). Funding Information: This research was supported by contracts 75N92021D00006, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086 and R01HL132320, and grants U01HL080295, U01HL130114, and HL144483 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from RF1AG063507 from the national Institute of Aging, and from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS‐NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH). ND and GDS work in a Unit supported by the Medical Research Council (MC_UU_00011/1) and the University of Bristol. JZ is supported by the Academy of Medical Sciences (AMS) Springboard Award, the Wellcome Trust, the Government Department of Business, Energy and Industrial Strategy (BEIS), the British Heart Foundation and Diabetes UK (SBF006\1117). Publisher Copyright: {\textcopyright} 2022, Springer Nature B.V.",

year = "2022",

month = jul,

doi = "10.1007/s10654-022-00888-z",

language = "English (US)",

volume = "37",

pages = "755--765",

journal = "European Journal of Epidemiology",

issn = "0393-2990",

publisher = "Springer Netherlands",

number = "7",

}

TY - JOUR

T1 - Proteomics and Population Biology in the Cardiovascular Health Study (CHS)

T2 - design of a study with mentored access and active data sharing

AU - Austin, Thomas R.

AU - McHugh, Caitlin P.

AU - Brody, Jennifer A.

AU - Bis, Joshua C.

AU - Sitlani, Colleen M.

AU - Bartz, Traci M.

AU - Biggs, Mary L.

AU - Bansal, Nisha

AU - Buzkova, Petra

AU - Carr, Steven A.

AU - deFilippi, Christopher R.

AU - Elkind, Mitchell S.V.

AU - Fink, Howard A.

AU - Floyd, James S.

AU - Fohner, Alison E.

AU - Gerszten, Robert E.

AU - Heckbert, Susan R.

AU - Katz, Daniel H.

AU - Kizer, Jorge R.

AU - Lemaitre, Rozenn N.

AU - Longstreth, W. T.

AU - McKnight, Barbara

AU - Mei, Hao

AU - Mukamal, Kenneth J.

AU - Newman, Anne B.

AU - Ngo, Debby

AU - Odden, Michelle C.

AU - Vasan, Ramachandran S.

AU - Shojaie, Ali

AU - Simon, Noah

AU - Smith, George Davey

AU - Davies, Neil M.

AU - Siscovick, David S.

AU - Sotoodehnia, Nona

AU - Tracy, Russell P.

AU - Wiggins, Kerri L.

AU - Zheng, Jie

AU - Psaty, Bruce M.

N1 - Funding Information: This research was supported by contracts 75N92021D00006, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086 and R01HL132320, and grants U01HL080295, U01HL130114, and HL144483 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from RF1AG063507 from the national Institute of Aging, and from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS‐NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH). ND and GDS work in a Unit supported by the Medical Research Council (MC_UU_00011/1) and the University of Bristol. JZ is supported by the Academy of Medical Sciences (AMS) Springboard Award, the Wellcome Trust, the Government Department of Business, Energy and Industrial Strategy (BEIS), the British Heart Foundation and Diabetes UK (SBF006\1117). Funding Information: This research was supported by contracts 75N92021D00006, HHSN268201200036C, HHSN268200800007C, HHSN268201800001C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086 and R01HL132320, and grants U01HL080295, U01HL130114, and HL144483 from the National Heart, Lung, and Blood Institute (NHLBI), with additional contribution from RF1AG063507 from the national Institute of Aging, and from the National Institute of Neurological Disorders and Stroke (NINDS). Additional support was provided by R01AG023629 from the National Institute on Aging (NIA). A full list of principal CHS investigators and institutions can be found at CHS‐NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH). ND and GDS work in a Unit supported by the Medical Research Council (MC_UU_00011/1) and the University of Bristol. JZ is supported by the Academy of Medical Sciences (AMS) Springboard Award, the Wellcome Trust, the Government Department of Business, Energy and Industrial Strategy (BEIS), the British Heart Foundation and Diabetes UK (SBF006\1117). Publisher Copyright: © 2022, Springer Nature B.V.

PY - 2022/7

Y1 - 2022/7

N2 - 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.

AB - 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.

KW - Cardiovascular Disease

KW - Cohort Study

KW - Genomics

KW - Proteomics

UR - http://www.scopus.com/inward/record.url?scp=85133433730&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85133433730&partnerID=8YFLogxK

U2 - 10.1007/s10654-022-00888-z

DO - 10.1007/s10654-022-00888-z

M3 - Article

C2 - 35790642

AN - SCOPUS:85133433730

SN - 0393-2990

VL - 37

SP - 755

EP - 765

JO - European Journal of Epidemiology

JF - European Journal of Epidemiology

IS - 7

ER -

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

Abstract

Bibliographical note

Keywords

PubMed: MeSH publication types

UN SDGs

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