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Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses
BACKGROUND: The PHArmacogenetic study of Statins in the Elderly at risk (PHASE) is a genome wide association study in the PROspective Study of Pravastatin in the Elderly at risk for vascular disease (PROSPER) that investigates the genetic variation responsible for the individual variation in drug re...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207930/ https://www.ncbi.nlm.nih.gov/pubmed/21977987 http://dx.doi.org/10.1186/1471-2350-12-131 |
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author | Trompet, Stella de Craen, Anton JM Postmus, Iris Ford, Ian Sattar, Naveed Caslake, Muriel Stott, David J Buckley, Brendan M Sacks, Frank Devlin, James J Slagboom, P Eline Westendorp, Rudi GJ Jukema, J Wouter |
author_facet | Trompet, Stella de Craen, Anton JM Postmus, Iris Ford, Ian Sattar, Naveed Caslake, Muriel Stott, David J Buckley, Brendan M Sacks, Frank Devlin, James J Slagboom, P Eline Westendorp, Rudi GJ Jukema, J Wouter |
author_sort | Trompet, Stella |
collection | PubMed |
description | BACKGROUND: The PHArmacogenetic study of Statins in the Elderly at risk (PHASE) is a genome wide association study in the PROspective Study of Pravastatin in the Elderly at risk for vascular disease (PROSPER) that investigates the genetic variation responsible for the individual variation in drug response to pravastatin. Statins lower LDL-cholesterol in general by 30%, however not in all subjects. Moreover, clinical response is highly variable and adverse effects occur in a minority of patients. In this report we first describe the rationale of the PROSPER/PHASE project and second show that the PROSPER/PHASE study can be used to study pharmacogenetics in the elderly. METHODS: The genome wide association study (GWAS) was conducted using the Illumina 660K-Quad beadchips following manufacturer's instructions. After a stringent quality control 557,192 SNPs in 5,244 subjects were available for analysis. To maximize the availability of genetic data and coverage of the genome, imputation up to 2.5 million autosomal CEPH HapMap SNPs was performed with MACH imputation software. The GWAS for LDL-cholesterol is assessed with an additive linear regression model in PROBABEL software, adjusted for age, sex, and country of origin to account for population stratification. RESULTS: Forty-two SNPs reached the GWAS significant threshold of p = 5.0e-08 in 5 genomic loci (APOE/APOC1; LDLR; FADS2/FEN1; HMGCR; PSRC1/CELSR5). The top SNP (rs445925, chromosome 19) with a p-value of p = 2.8e-30 is located within the APOC1 gene and near the APOE gene. The second top SNP (rs6511720, chromosome 19) with a p-value of p = 5.22e-15 is located within the LDLR gene. All 5 genomic loci were previously associated with LDL-cholesterol levels, no novel loci were identified. Replication in WOSCOPS and CARE confirmed our results. CONCLUSION: With the GWAS in the PROSPER/PHASE study we confirm the previously found genetic associations with LDL-cholesterol levels. With this proof-of-principle study we show that the PROSPER/PHASE study can be used to investigate genetic associations in a similar way to population based studies. The next step of the PROSPER/PHASE study is to identify the genetic variation responsible for the variation in LDL-cholesterol lowering in response to statin treatment in collaboration with other large trials. |
format | Online Article Text |
id | pubmed-3207930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32079302011-11-04 Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses Trompet, Stella de Craen, Anton JM Postmus, Iris Ford, Ian Sattar, Naveed Caslake, Muriel Stott, David J Buckley, Brendan M Sacks, Frank Devlin, James J Slagboom, P Eline Westendorp, Rudi GJ Jukema, J Wouter BMC Med Genet Research Article BACKGROUND: The PHArmacogenetic study of Statins in the Elderly at risk (PHASE) is a genome wide association study in the PROspective Study of Pravastatin in the Elderly at risk for vascular disease (PROSPER) that investigates the genetic variation responsible for the individual variation in drug response to pravastatin. Statins lower LDL-cholesterol in general by 30%, however not in all subjects. Moreover, clinical response is highly variable and adverse effects occur in a minority of patients. In this report we first describe the rationale of the PROSPER/PHASE project and second show that the PROSPER/PHASE study can be used to study pharmacogenetics in the elderly. METHODS: The genome wide association study (GWAS) was conducted using the Illumina 660K-Quad beadchips following manufacturer's instructions. After a stringent quality control 557,192 SNPs in 5,244 subjects were available for analysis. To maximize the availability of genetic data and coverage of the genome, imputation up to 2.5 million autosomal CEPH HapMap SNPs was performed with MACH imputation software. The GWAS for LDL-cholesterol is assessed with an additive linear regression model in PROBABEL software, adjusted for age, sex, and country of origin to account for population stratification. RESULTS: Forty-two SNPs reached the GWAS significant threshold of p = 5.0e-08 in 5 genomic loci (APOE/APOC1; LDLR; FADS2/FEN1; HMGCR; PSRC1/CELSR5). The top SNP (rs445925, chromosome 19) with a p-value of p = 2.8e-30 is located within the APOC1 gene and near the APOE gene. The second top SNP (rs6511720, chromosome 19) with a p-value of p = 5.22e-15 is located within the LDLR gene. All 5 genomic loci were previously associated with LDL-cholesterol levels, no novel loci were identified. Replication in WOSCOPS and CARE confirmed our results. CONCLUSION: With the GWAS in the PROSPER/PHASE study we confirm the previously found genetic associations with LDL-cholesterol levels. With this proof-of-principle study we show that the PROSPER/PHASE study can be used to investigate genetic associations in a similar way to population based studies. The next step of the PROSPER/PHASE study is to identify the genetic variation responsible for the variation in LDL-cholesterol lowering in response to statin treatment in collaboration with other large trials. BioMed Central 2011-10-06 /pmc/articles/PMC3207930/ /pubmed/21977987 http://dx.doi.org/10.1186/1471-2350-12-131 Text en Copyright ©2011 Trompet et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Trompet, Stella de Craen, Anton JM Postmus, Iris Ford, Ian Sattar, Naveed Caslake, Muriel Stott, David J Buckley, Brendan M Sacks, Frank Devlin, James J Slagboom, P Eline Westendorp, Rudi GJ Jukema, J Wouter Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses |
title | Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses |
title_full | Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses |
title_fullStr | Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses |
title_full_unstemmed | Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses |
title_short | Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses |
title_sort | replication of ldl gwas hits in prosper/phase as validation for future (pharmaco)genetic analyses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207930/ https://www.ncbi.nlm.nih.gov/pubmed/21977987 http://dx.doi.org/10.1186/1471-2350-12-131 |
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