High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis-Reference-Cited by-同舟云学术

High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis

Published:2012-03-26 Issue:18 Volume:33 Page:2307-2316
ISSN:0195-668X
Container-title:European Heart Journal
language:en
Short-container-title:European Heart Journal

Author:

Wurtz P.,Raiko J. R.,Magnussen C. G.,Soininen P.,Kangas A. J.,Tynkkynen T.,Thomson R.,Laatikainen R.,Savolainen M. J.,Laurikka J.,Kuukasjarvi P.,Tarkka M.,Karhunen P. J.,Jula A.,Viikari J. S.,Kahonen M.,Lehtimaki T.,Juonala M.,Ala-Korpela M.,Raitakari O. T.

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

Link

http://academic.oup.com/eurheartj/article-pdf/33/18/2307/17893695/ehs020.pdf

Reference40 articles.

1. Multiple Biomarkers for the Prediction of First Major Cardiovascular Events and Death

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3. Contribution of 30 Biomarkers to 10-Year Cardiovascular Risk Estimation in 2 Population Cohorts

4. Assessing the Role of Circulating, Genetic, and Imaging Biomarkers in Cardiovascular Risk Prediction

5. Metabolite profiles and the risk of developing diabetes

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