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Metabolite Profiling and Cardiovascular Event Risk
Author(s) -
Peter Würtz,
Aki S. Havulinna,
Pasi Soininen,
Tuulia Tynkkynen,
David PrietoMerino,
Therese Tillin,
Anahita Ghorbani,
Anna Artati,
Qin Wang,
Mika Tiainen,
Antti J. Kangas,
Johannes Kettunen,
Jari Kaikkonen,
Vera Mikkilä,
Antti Jula,
Mika Kähönen,
Terho Lehtimäki,
Debbie A. Lawlor,
Tom R. Gaunt,
Alun D. Hughes,
Naveed Sattar,
Thomas Illig,
Jerzy Adamski,
Thomas J. Wang,
Markus Perola,
Samuli Ripatti,
Ramachandran S. Vasan,
Olli T. Raitakari,
Robert E. Gerszten,
Juan-Pablo Casas,
Nish Chaturvedi,
Mika AlaKorpela,
Veikko Salomaa
Publication year - 2015
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/circulationaha.114.013116
Subject(s) - medicine , hazard ratio , confidence interval , diabetes mellitus , proportional hazards model , biomarker , metabolite , endocrinology , biochemistry , chemistry
High-throughput profiling of circulating metabolites may improve cardiovascular risk prediction over established risk factors.

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