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Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium
Substantial advances have been made in identifying common genetic variants influencing cardiometabolic traits and disease outcomes through genome wide association studies. Nevertheless, gaps in knowledge remain and new questions have arisen regarding the population relevance, mechanisms, and applica...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748096/ https://www.ncbi.nlm.nih.gov/pubmed/23977022 http://dx.doi.org/10.1371/journal.pone.0071345 |
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| author | Shah, Tina Engmann, Jorgen Dale, Caroline Shah, Sonia White, Jon Giambartolomei, Claudia McLachlan, Stela Zabaneh, Delilah Cavadino, Alana Finan, Chris Wong, Andrew Amuzu, Antoinette Ong, Ken Gaunt, Tom Holmes, Michael V. Warren, Helen Davies, Teri-Louise Drenos, Fotios Cooper, Jackie Sofat, Reecha Caulfield, Mark Ebrahim, Shah Lawlor, Debbie A. Talmud, Philippa J. Humphries, Steve E. Power, Christine Hypponen, Elina Richards, Marcus Hardy, Rebecca Kuh, Diana Wareham, Nicholas Ben-Shlomo, Yoav Day, Ian N. Whincup, Peter Morris, Richard Strachan, Mark W. J. Price, Jacqueline Kumari, Meena Kivimaki, Mika Plagnol, Vincent Dudbridge, Frank Whittaker, John C. Casas, Juan P. Hingorani, Aroon D. |
| author_facet | Shah, Tina Engmann, Jorgen Dale, Caroline Shah, Sonia White, Jon Giambartolomei, Claudia McLachlan, Stela Zabaneh, Delilah Cavadino, Alana Finan, Chris Wong, Andrew Amuzu, Antoinette Ong, Ken Gaunt, Tom Holmes, Michael V. Warren, Helen Davies, Teri-Louise Drenos, Fotios Cooper, Jackie Sofat, Reecha Caulfield, Mark Ebrahim, Shah Lawlor, Debbie A. Talmud, Philippa J. Humphries, Steve E. Power, Christine Hypponen, Elina Richards, Marcus Hardy, Rebecca Kuh, Diana Wareham, Nicholas Ben-Shlomo, Yoav Day, Ian N. Whincup, Peter Morris, Richard Strachan, Mark W. J. Price, Jacqueline Kumari, Meena Kivimaki, Mika Plagnol, Vincent Dudbridge, Frank Whittaker, John C. Casas, Juan P. Hingorani, Aroon D. |
| author_sort | Shah, Tina |
| collection | PubMed |
| description | Substantial advances have been made in identifying common genetic variants influencing cardiometabolic traits and disease outcomes through genome wide association studies. Nevertheless, gaps in knowledge remain and new questions have arisen regarding the population relevance, mechanisms, and applications for healthcare. Using a new high-resolution custom single nucleotide polymorphism (SNP) array (Metabochip) incorporating dense coverage of genomic regions linked to cardiometabolic disease, the University College-London School-Edinburgh-Bristol (UCLEB) consortium of highly-phenotyped population-based prospective studies, aims to: (1) fine map functionally relevant SNPs; (2) precisely estimate individual absolute and population attributable risks based on individual SNPs and their combination; (3) investigate mechanisms leading to altered risk factor profiles and CVD events; and (4) use Mendelian randomisation to undertake studies of the causal role in CVD of a range of cardiovascular biomarkers to inform public health policy and help develop new preventative therapies. |
| format | Online Article Text |
| id | pubmed-3748096 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2013 |
| publisher | Public Library of Science |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-37480962013-08-23 Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium Shah, Tina Engmann, Jorgen Dale, Caroline Shah, Sonia White, Jon Giambartolomei, Claudia McLachlan, Stela Zabaneh, Delilah Cavadino, Alana Finan, Chris Wong, Andrew Amuzu, Antoinette Ong, Ken Gaunt, Tom Holmes, Michael V. Warren, Helen Davies, Teri-Louise Drenos, Fotios Cooper, Jackie Sofat, Reecha Caulfield, Mark Ebrahim, Shah Lawlor, Debbie A. Talmud, Philippa J. Humphries, Steve E. Power, Christine Hypponen, Elina Richards, Marcus Hardy, Rebecca Kuh, Diana Wareham, Nicholas Ben-Shlomo, Yoav Day, Ian N. Whincup, Peter Morris, Richard Strachan, Mark W. J. Price, Jacqueline Kumari, Meena Kivimaki, Mika Plagnol, Vincent Dudbridge, Frank Whittaker, John C. Casas, Juan P. Hingorani, Aroon D. PLoS One Research Article Substantial advances have been made in identifying common genetic variants influencing cardiometabolic traits and disease outcomes through genome wide association studies. Nevertheless, gaps in knowledge remain and new questions have arisen regarding the population relevance, mechanisms, and applications for healthcare. Using a new high-resolution custom single nucleotide polymorphism (SNP) array (Metabochip) incorporating dense coverage of genomic regions linked to cardiometabolic disease, the University College-London School-Edinburgh-Bristol (UCLEB) consortium of highly-phenotyped population-based prospective studies, aims to: (1) fine map functionally relevant SNPs; (2) precisely estimate individual absolute and population attributable risks based on individual SNPs and their combination; (3) investigate mechanisms leading to altered risk factor profiles and CVD events; and (4) use Mendelian randomisation to undertake studies of the causal role in CVD of a range of cardiovascular biomarkers to inform public health policy and help develop new preventative therapies. Public Library of Science 2013-08-20 /pmc/articles/PMC3748096/ /pubmed/23977022 http://dx.doi.org/10.1371/journal.pone.0071345 Text en © 2013 Shah et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
| spellingShingle | Research Article Shah, Tina Engmann, Jorgen Dale, Caroline Shah, Sonia White, Jon Giambartolomei, Claudia McLachlan, Stela Zabaneh, Delilah Cavadino, Alana Finan, Chris Wong, Andrew Amuzu, Antoinette Ong, Ken Gaunt, Tom Holmes, Michael V. Warren, Helen Davies, Teri-Louise Drenos, Fotios Cooper, Jackie Sofat, Reecha Caulfield, Mark Ebrahim, Shah Lawlor, Debbie A. Talmud, Philippa J. Humphries, Steve E. Power, Christine Hypponen, Elina Richards, Marcus Hardy, Rebecca Kuh, Diana Wareham, Nicholas Ben-Shlomo, Yoav Day, Ian N. Whincup, Peter Morris, Richard Strachan, Mark W. J. Price, Jacqueline Kumari, Meena Kivimaki, Mika Plagnol, Vincent Dudbridge, Frank Whittaker, John C. Casas, Juan P. Hingorani, Aroon D. Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
| title | Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
| title_full | Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
| title_fullStr | Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
| title_full_unstemmed | Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
| title_short | Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
| title_sort | population genomics of cardiometabolic traits: design of the university college london-london school of hygiene and tropical medicine-edinburgh-bristol (ucleb) consortium |
| topic | Research Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748096/ https://www.ncbi.nlm.nih.gov/pubmed/23977022 http://dx.doi.org/10.1371/journal.pone.0071345 |
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