Integrative Genomic Analysis Reveals Four Protein Biomarkers for Platelet Traits. Issue 9 (9th October 2020)
- Record Type:
- Journal Article
- Title:
- Integrative Genomic Analysis Reveals Four Protein Biomarkers for Platelet Traits. Issue 9 (9th October 2020)
- Main Title:
- Integrative Genomic Analysis Reveals Four Protein Biomarkers for Platelet Traits
- Authors:
- Lee, Dong Heon
Yao, Chen
Bhan, Arunoday
Schlaeger, Thorsten
Keefe, Joshua
Rodriguez, Benjamin A.T.
Hwang, Shih-Jen
Chen, Ming-Huei
Levy, Daniel
Johnson, Andrew D. - Abstract:
- Abstract : Rationale: Mean platelet volume (MPV) and platelet count (PLT) are platelet measures that have been linked to cardiovascular disease (CVD) and mortality risk. Identifying protein biomarkers for these measures may yield insights into CVD mechanisms. Objective: We aimed to identify causal protein biomarkers for MPV and PLT among 71 CVD-related plasma proteins measured in FHS (Framingham Heart Study) participants. Methods and Results: We conducted integrative analyses of genetic variants associated with PLT/MPV with protein quantitative trait locus variants associated with plasma proteins followed by Mendelian randomization to infer causal relations of proteins for PLT/MPV. We also tested protein-PLT/MPV association in FHS participants. Using induced pluripotent stem cell-derived megakaryocyte clones that produce functional platelets, we conducted RNA-sequencing and analyzed expression differences between low- and high-platelet producing clones. We then performed small interfering RNA gene knockdown experiments targeting genes encoding proteins with putatively causal platelet effects in megakaryocyte clones to examine effects on platelet production. In protein-trait association analyses, ten proteins were associated with MPV and 31 with PLT. Mendelian randomization identified 4 putatively causal proteins for MPV and 4 for PLT. GP-5 (Glycoprotein V), GRN (granulin), and MCAM (melanoma cell adhesion molecule) were associated with PLT, while MPO (myeloperoxidase) showedAbstract : Rationale: Mean platelet volume (MPV) and platelet count (PLT) are platelet measures that have been linked to cardiovascular disease (CVD) and mortality risk. Identifying protein biomarkers for these measures may yield insights into CVD mechanisms. Objective: We aimed to identify causal protein biomarkers for MPV and PLT among 71 CVD-related plasma proteins measured in FHS (Framingham Heart Study) participants. Methods and Results: We conducted integrative analyses of genetic variants associated with PLT/MPV with protein quantitative trait locus variants associated with plasma proteins followed by Mendelian randomization to infer causal relations of proteins for PLT/MPV. We also tested protein-PLT/MPV association in FHS participants. Using induced pluripotent stem cell-derived megakaryocyte clones that produce functional platelets, we conducted RNA-sequencing and analyzed expression differences between low- and high-platelet producing clones. We then performed small interfering RNA gene knockdown experiments targeting genes encoding proteins with putatively causal platelet effects in megakaryocyte clones to examine effects on platelet production. In protein-trait association analyses, ten proteins were associated with MPV and 31 with PLT. Mendelian randomization identified 4 putatively causal proteins for MPV and 4 for PLT. GP-5 (Glycoprotein V), GRN (granulin), and MCAM (melanoma cell adhesion molecule) were associated with PLT, while MPO (myeloperoxidase) showed significant association with MPV in both analyses. RNA-sequencing analysis results were directionally concordant with observed and Mendelian randomization-inferred associations for GP-5, GRN, and MCAM. In siRNA gene knockdown experiments, silencing GP-5, GRN, and MPO decreased PLTs. Genome-wide association study results suggest several of these may be linked to CVD risk. Conclusions: We identified 4 proteins that are causally linked to PLTs. These proteins may also have roles in the pathogenesis of CVD via a platelet/blood coagulation-based mechanism. Abstract : Supplemental Digital Content is available in the text. … (more)
- Is Part Of:
- Circulation research. Volume 127:Issue 9(2020)
- Journal:
- Circulation research
- Issue:
- Volume 127:Issue 9(2020)
- Issue Display:
- Volume 127, Issue 9 (2020)
- Year:
- 2020
- Volume:
- 127
- Issue:
- 9
- Issue Sort Value:
- 2020-0127-0009-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10-09
- Subjects:
- biomarkers -- cardiovascular diseases -- genetics -- megakaryocytes -- proteomics
Cardiovascular system -- Periodicals
Blood -- Circulation -- Periodicals
Blood Circulation
Cardiovascular System
Vascular Diseases
Sang -- Circulation -- Périodiques
Appareil cardiovasculaire -- Périodiques
612.1 - Journal URLs:
- http://circres.ahajournals.org/ ↗
http://www.circresaha.org ↗
http://journals.lww.com ↗ - DOI:
- 10.1161/CIRCRESAHA.119.316447 ↗
- Languages:
- English
- ISSNs:
- 0009-7330
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3265.300000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14953.xml