Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration

Aspasia Angelakopoulou, Tina Shah, Reecha Sofat, Sonia Shah, Diane J Berry, Jackie Cooper, Jutta Palmen, Ioanna Tzoulaki, Andrew Wong, Barbara J Jefferis, Nikolas Maniatis, Fotios Drenos, Bruna Gigante, Rebecca Hardy, Ross C Laxton, Karin Leander, Anna Motterle, Iain A Simpson, Liam Smeeth, Andy ThomsonClaudio Verzilli, Diana Kuh, Helen Ireland, John Deanfield, Mark Caulfield, Chris Wallace, Nilesh Samani, Patricia B Munroe, Mark Lathrop, F Gerry R Fowkes, Michael Marmot, Peter H Whincup, John C Whittaker, Ulf de Faire, Mika Kivimaki, Meena Kumari, Elina Hypponen, Chris Power, Steve E Humphries, Philippa J Talmud, Jackie Price, Richard W Morris, Shu Ye, Juan P Casas, Aroon D Hingorani

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

To evaluate the associations of emergent genome-wide-association study-derived coronary heart disease (CHD)-associated single nucleotide polymorphisms (SNPs) with established and emerging risk factors, and the association of genome-wide-association study-derived lipid-associated SNPs with other risk factors and CHD events.
Original languageEnglish
Pages (from-to)393-407
Number of pages15
JournalEuropean Heart Journal
Volume33
Issue number3
DOIs
Publication statusPublished - 2012

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