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

@inproceedings{Angelakopoulou2012ComparativeAO,
  title={Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration},
  author={Aspasia Angelakopoulou and Tina P Shah and Reecha Sofat and Sonia V Shah and Diane J. Berry and Jackie Cooper and Jutta A Palmen and Ioanna Tzoulaki and Andrew Wong and Barbara J Jefferis and Nikolas Maniatis and Fotios Drenos and Bruna Gigante and Rebecca Hardy and Ross C. Laxton and Karin Leander and Anna Motterle and Iain A. Simpson and Liam Smeeth and Andy Thomson and Claudio J. Verzilli and Diana Kuh and Helen A Ireland and John Erik Deanfield and Mark Caulfield and Chris Wallace and Nilesh J. Samani and Patricia B. Munroe and Mark Lathrop and Francis Gerry R. Fowkes and Michael Marmot and Peter Whincup and John C. Whittaker and Ulf H de Faire and Mika Kivimaki and Meena Kumari and Elina Hypponen and Chris Power and Steve E Humphries and Philippa J. Talmud and Jackie F. Price and Richard W. Morris and Shu Ye and Juan P. Casas and Aroon D. Hingorani},
  booktitle={European heart journal},
  year={2012}
}
AIMS 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. METHODS AND RESULTS Using two case-control studies, three cross-sectional, and seven prospective studies with up to 25 000 individuals and 5794 CHD events we evaluated… CONTINUE READING