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

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 othe...

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Autores principales: Angelakopoulou, Aspasia, Shah, Tina, Sofat, Reecha, Shah, Sonia, Berry, Diane J., Cooper, Jackie, Palmen, Jutta, Tzoulaki, Ioanna, Wong, Andrew, Jefferis, Barbara J., Maniatis, Nikolas, Drenos, Fotios, Gigante, Bruna, Hardy, Rebecca, Laxton, Ross C., Leander, Karin, Motterle, Anna, Simpson, Iain A., Smeeth, Liam, Thomson, Andy, Verzilli, Claudio, Kuh, Diana, Ireland, Helen, Deanfield, John, Caulfield, Mark, Wallace, Chris, Samani, Nilesh, Munroe, Patricia B., Lathrop, Mark, Fowkes, F. Gerry R., Marmot, Michael, Whincup, Peter H., Whittaker, John C., de Faire, Ulf, Kivimaki, Mika, Kumari, Meena, Hypponen, Elina, Power, Chris, Humphries, Steve E., Talmud, Philippa J., Price, Jackie, Morris, Richard W., Ye, Shu, Casas, Juan P., Hingorani, Aroon D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270041/
https://www.ncbi.nlm.nih.gov/pubmed/21804106
http://dx.doi.org/10.1093/eurheartj/ehr225
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author Angelakopoulou, Aspasia
Shah, Tina
Sofat, Reecha
Shah, Sonia
Berry, Diane J.
Cooper, Jackie
Palmen, Jutta
Tzoulaki, Ioanna
Wong, Andrew
Jefferis, Barbara J.
Maniatis, Nikolas
Drenos, Fotios
Gigante, Bruna
Hardy, Rebecca
Laxton, Ross C.
Leander, Karin
Motterle, Anna
Simpson, Iain A.
Smeeth, Liam
Thomson, Andy
Verzilli, Claudio
Kuh, Diana
Ireland, Helen
Deanfield, John
Caulfield, Mark
Wallace, Chris
Samani, Nilesh
Munroe, Patricia B.
Lathrop, Mark
Fowkes, F. Gerry R.
Marmot, Michael
Whincup, Peter H.
Whittaker, John C.
de Faire, Ulf
Kivimaki, Mika
Kumari, Meena
Hypponen, Elina
Power, Chris
Humphries, Steve E.
Talmud, Philippa J.
Price, Jackie
Morris, Richard W.
Ye, Shu
Casas, Juan P.
Hingorani, Aroon D.
author_facet Angelakopoulou, Aspasia
Shah, Tina
Sofat, Reecha
Shah, Sonia
Berry, Diane J.
Cooper, Jackie
Palmen, Jutta
Tzoulaki, Ioanna
Wong, Andrew
Jefferis, Barbara J.
Maniatis, Nikolas
Drenos, Fotios
Gigante, Bruna
Hardy, Rebecca
Laxton, Ross C.
Leander, Karin
Motterle, Anna
Simpson, Iain A.
Smeeth, Liam
Thomson, Andy
Verzilli, Claudio
Kuh, Diana
Ireland, Helen
Deanfield, John
Caulfield, Mark
Wallace, Chris
Samani, Nilesh
Munroe, Patricia B.
Lathrop, Mark
Fowkes, F. Gerry R.
Marmot, Michael
Whincup, Peter H.
Whittaker, John C.
de Faire, Ulf
Kivimaki, Mika
Kumari, Meena
Hypponen, Elina
Power, Chris
Humphries, Steve E.
Talmud, Philippa J.
Price, Jackie
Morris, Richard W.
Ye, Shu
Casas, Juan P.
Hingorani, Aroon D.
author_sort Angelakopoulou, Aspasia
collection PubMed
description 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 associations of 34 genome-wide-association study-identified SNPs with CHD risk and 16 CHD-associated risk factors or biomarkers. The Ch9p21 SNPs rs1333049 (OR 1.17; 95% confidence limits 1.11–1.24) and rs10757274 (OR 1.17; 1.09–1.26), MIA3 rs17465637 (OR 1.10; 1.04–1.15), Ch2q36 rs2943634 (OR 1.08; 1.03–1.14), APC rs383830 (OR 1.10; 1.02, 1.18), MTHFD1L rs6922269 (OR 1.10; 1.03, 1.16), CXCL12 rs501120 (OR 1.12; 1.04, 1.20), and SMAD3 rs17228212 (OR 1.11; 1.05, 1.17) were all associated with CHD risk, but not with the CHD biomarkers and risk factors measured. Among the 20 blood lipid-related SNPs, LPL rs17411031 was associated with a lower risk of CHD (OR 0.91; 0.84–0.97), an increase in Apolipoprotein AI and HDL-cholesterol, and reduced triglycerides. SORT1 rs599839 was associated with CHD risk (OR 1.20; 1.15–1.26) as well as total- and LDL-cholesterol, and apolipoprotein B. ANGPTL3 rs12042319 was associated with CHD risk (OR 1.11; 1.03, 1.19), total- and LDL-cholesterol, triglycerides, and interleukin-6. CONCLUSION: Several SNPs predicting CHD events appear to involve pathways not currently indexed by the established or emerging risk factors; others involved changes in blood lipids including triglycerides or HDL-cholesterol as well as LDL-cholesterol. The overlapping association of SNPs with multiple risk factors and biomarkers supports the existence of shared points of regulation for these phenotypes.
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spelling pubmed-32700412012-02-02 Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration Angelakopoulou, Aspasia Shah, Tina Sofat, Reecha Shah, Sonia Berry, Diane J. Cooper, Jackie Palmen, Jutta Tzoulaki, Ioanna Wong, Andrew Jefferis, Barbara J. Maniatis, Nikolas Drenos, Fotios Gigante, Bruna Hardy, Rebecca Laxton, Ross C. Leander, Karin Motterle, Anna Simpson, Iain A. Smeeth, Liam Thomson, Andy Verzilli, Claudio Kuh, Diana Ireland, Helen Deanfield, John Caulfield, Mark Wallace, Chris Samani, Nilesh Munroe, Patricia B. Lathrop, Mark Fowkes, F. Gerry R. Marmot, Michael Whincup, Peter H. Whittaker, John C. de Faire, Ulf Kivimaki, Mika Kumari, Meena Hypponen, Elina Power, Chris Humphries, Steve E. Talmud, Philippa J. Price, Jackie Morris, Richard W. Ye, Shu Casas, Juan P. Hingorani, Aroon D. Eur Heart J Basic Science 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 associations of 34 genome-wide-association study-identified SNPs with CHD risk and 16 CHD-associated risk factors or biomarkers. The Ch9p21 SNPs rs1333049 (OR 1.17; 95% confidence limits 1.11–1.24) and rs10757274 (OR 1.17; 1.09–1.26), MIA3 rs17465637 (OR 1.10; 1.04–1.15), Ch2q36 rs2943634 (OR 1.08; 1.03–1.14), APC rs383830 (OR 1.10; 1.02, 1.18), MTHFD1L rs6922269 (OR 1.10; 1.03, 1.16), CXCL12 rs501120 (OR 1.12; 1.04, 1.20), and SMAD3 rs17228212 (OR 1.11; 1.05, 1.17) were all associated with CHD risk, but not with the CHD biomarkers and risk factors measured. Among the 20 blood lipid-related SNPs, LPL rs17411031 was associated with a lower risk of CHD (OR 0.91; 0.84–0.97), an increase in Apolipoprotein AI and HDL-cholesterol, and reduced triglycerides. SORT1 rs599839 was associated with CHD risk (OR 1.20; 1.15–1.26) as well as total- and LDL-cholesterol, and apolipoprotein B. ANGPTL3 rs12042319 was associated with CHD risk (OR 1.11; 1.03, 1.19), total- and LDL-cholesterol, triglycerides, and interleukin-6. CONCLUSION: Several SNPs predicting CHD events appear to involve pathways not currently indexed by the established or emerging risk factors; others involved changes in blood lipids including triglycerides or HDL-cholesterol as well as LDL-cholesterol. The overlapping association of SNPs with multiple risk factors and biomarkers supports the existence of shared points of regulation for these phenotypes. Oxford University Press 2012-02 2011-07-30 /pmc/articles/PMC3270041/ /pubmed/21804106 http://dx.doi.org/10.1093/eurheartj/ehr225 Text en Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2011. For permissions please email: journals.permissions@oup.com. http://creativecommons.org/licenses/by-nc/2.0/uk/ The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that the original authorship is properly and fully attributed; the Journal, Learned Society and Oxford University Press are attributed as the original place of publication with correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Basic Science
Angelakopoulou, Aspasia
Shah, Tina
Sofat, Reecha
Shah, Sonia
Berry, Diane J.
Cooper, Jackie
Palmen, Jutta
Tzoulaki, Ioanna
Wong, Andrew
Jefferis, Barbara J.
Maniatis, Nikolas
Drenos, Fotios
Gigante, Bruna
Hardy, Rebecca
Laxton, Ross C.
Leander, Karin
Motterle, Anna
Simpson, Iain A.
Smeeth, Liam
Thomson, Andy
Verzilli, Claudio
Kuh, Diana
Ireland, Helen
Deanfield, John
Caulfield, Mark
Wallace, Chris
Samani, Nilesh
Munroe, Patricia B.
Lathrop, Mark
Fowkes, F. Gerry R.
Marmot, Michael
Whincup, Peter H.
Whittaker, John C.
de Faire, Ulf
Kivimaki, Mika
Kumari, Meena
Hypponen, Elina
Power, Chris
Humphries, Steve E.
Talmud, Philippa J.
Price, Jackie
Morris, Richard W.
Ye, Shu
Casas, Juan P.
Hingorani, Aroon D.
Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration
title Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration
title_full Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration
title_fullStr Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration
title_full_unstemmed Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration
title_short Comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: Cardiovascular Biomarker Genetics Collaboration
title_sort comparative analysis of genome-wide association studies signals for lipids, diabetes, and coronary heart disease: cardiovascular biomarker genetics collaboration
topic Basic Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3270041/
https://www.ncbi.nlm.nih.gov/pubmed/21804106
http://dx.doi.org/10.1093/eurheartj/ehr225
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