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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.
Wednesday,2022-07-20 16:21 America/Los_Angeles — ecterry
| Title | Proteomics and Population Biology in the Cardiovascular Health Study (CHS): design of a study with mentored access and active data sharing. |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Authors | Austin, TR, McHugh, CP, Brody, JA, Bis, JC, Sitlani, CM, Bartz, TM, Biggs, ML, Bansal, N, Bůzková, 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 |
| Journal | Eur J Epidemiol |
| Date Published | 2022 Jul 05 |
| ISSN | 1573-7284 |
| Abstract | <p><b>BACKGROUND: </b>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.</p><p><b>METHODS AND RESULTS: </b>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.</p><p><b>CONCLUSION: </b>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.</p> |
| DOI | 10.1007/s10654-022-00888-z |
| Alternate Journal | Eur J Epidemiol |
| PubMed ID | 35790642 |
| PubMed Central ID | PMC9255954 |
| Grant List | 75N92021D00006 / HL / NHLBI NIH HHS / United States HHSN268201200036C / HL / NHLBI NIH HHS / United States HHSN268200800007C / HL / NHLBI NIH HHS / United States HHSN268201800001C / HL / NHLBI NIH HHS / United States N01HC55222 / HL / NHLBI NIH HHS / United States N01HC85079 / HL / NHLBI NIH HHS / United States N01HC85080 / HL / NHLBI NIH HHS / United States N01HC85081 / HL / NHLBI NIH HHS / United States N01HC85082 / HL / NHLBI NIH HHS / United States N01HC85083 / HL / NHLBI NIH HHS / United States N01HC85086 / HL / NHLBI NIH HHS / United States R01HL132320 / HL / NHLBI NIH HHS / United States U01HL080295 / HL / NHLBI NIH HHS / United States U01HL130114 / HL / NHLBI NIH HHS / United States HL144483 / HL / NHLBI NIH HHS / United States RF1AG063507 / AG / NIA NIH HHS / United States R01AG023629 / AG / NIA NIH HHS / United States |
ePub date:
22/07