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Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC
The European Prospective Investigation into Cancer and nutrition (EPIC) is a long-term, multi-centric prospective study in Europe investigating the relationships between cancer and nutrition. This study has served as a basis for a number of Genome-Wide Association Studies (GWAS) and other types of g...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3396633/ https://www.ncbi.nlm.nih.gov/pubmed/22808065 http://dx.doi.org/10.1371/journal.pone.0039821 |
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author | Caboux, Elodie Lallemand, Christophe Ferro, Gilles Hémon, Bertrand Mendy, Maimuna Biessy, Carine Sims, Matt Wareham, Nick Britten, Abigail Boland, Anne Hutchinson, Amy Siddiq, Afshan Vineis, Paolo Riboli, Elio Romieu, Isabelle Rinaldi, Sabina Gunter, Marc J. Peeters, Petra H. M. van der Schouw, Yvonne T. Travis, Ruth Bueno-de-Mesquita, H. Bas Canzian, Federico Sánchez, Maria-José Skeie, Guri Olsen, Karina Standahl Lund, Eiliv Bilbao, Roberto Sala, Núria Barricarte, Aurelio Palli, Domenico Navarro, Carmen Panico, Salvatore Redondo, Maria Luisa Polidoro, Silvia Dossus, Laure Boutron-Ruault, Marie Christine Clavel-Chapelon, Françoise Trichopoulou, Antonia Trichopoulos, Dimitrios Lagiou, Pagona Boeing, Heiner Fisher, Eva Tumino, Rosario Agnoli, Claudia Hainaut, Pierre |
author_facet | Caboux, Elodie Lallemand, Christophe Ferro, Gilles Hémon, Bertrand Mendy, Maimuna Biessy, Carine Sims, Matt Wareham, Nick Britten, Abigail Boland, Anne Hutchinson, Amy Siddiq, Afshan Vineis, Paolo Riboli, Elio Romieu, Isabelle Rinaldi, Sabina Gunter, Marc J. Peeters, Petra H. M. van der Schouw, Yvonne T. Travis, Ruth Bueno-de-Mesquita, H. Bas Canzian, Federico Sánchez, Maria-José Skeie, Guri Olsen, Karina Standahl Lund, Eiliv Bilbao, Roberto Sala, Núria Barricarte, Aurelio Palli, Domenico Navarro, Carmen Panico, Salvatore Redondo, Maria Luisa Polidoro, Silvia Dossus, Laure Boutron-Ruault, Marie Christine Clavel-Chapelon, Françoise Trichopoulou, Antonia Trichopoulos, Dimitrios Lagiou, Pagona Boeing, Heiner Fisher, Eva Tumino, Rosario Agnoli, Claudia Hainaut, Pierre |
author_sort | Caboux, Elodie |
collection | PubMed |
description | The European Prospective Investigation into Cancer and nutrition (EPIC) is a long-term, multi-centric prospective study in Europe investigating the relationships between cancer and nutrition. This study has served as a basis for a number of Genome-Wide Association Studies (GWAS) and other types of genetic analyses. Over a period of 5 years, 52,256 EPIC DNA samples have been extracted using an automated DNA extraction platform. Here we have evaluated the pre-analytical factors affecting DNA yield, including anthropometric, epidemiological and technical factors such as center of subject recruitment, age, gender, body-mass index, disease case or control status, tobacco consumption, number of aliquots of buffy coat used for DNA extraction, extraction machine or procedure, DNA quantification method, degree of haemolysis and variations in the timing of sample processing. We show that the largest significant variations in DNA yield were observed with degree of haemolysis and with center of subject recruitment. Age, gender, body-mass index, cancer case or control status and tobacco consumption also significantly impacted DNA yield. Feedback from laboratories which have analyzed DNA with different SNP genotyping technologies demonstrate that the vast majority of samples (approximately 88%) performed adequately in different types of assays. To our knowledge this study is the largest to date to evaluate the sources of pre-analytical variations in DNA extracted from peripheral leucocytes. The results provide a strong evidence-based rationale for standardized recommendations on blood collection and processing protocols for large-scale genetic studies. |
format | Online Article Text |
id | pubmed-3396633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33966332012-07-17 Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC Caboux, Elodie Lallemand, Christophe Ferro, Gilles Hémon, Bertrand Mendy, Maimuna Biessy, Carine Sims, Matt Wareham, Nick Britten, Abigail Boland, Anne Hutchinson, Amy Siddiq, Afshan Vineis, Paolo Riboli, Elio Romieu, Isabelle Rinaldi, Sabina Gunter, Marc J. Peeters, Petra H. M. van der Schouw, Yvonne T. Travis, Ruth Bueno-de-Mesquita, H. Bas Canzian, Federico Sánchez, Maria-José Skeie, Guri Olsen, Karina Standahl Lund, Eiliv Bilbao, Roberto Sala, Núria Barricarte, Aurelio Palli, Domenico Navarro, Carmen Panico, Salvatore Redondo, Maria Luisa Polidoro, Silvia Dossus, Laure Boutron-Ruault, Marie Christine Clavel-Chapelon, Françoise Trichopoulou, Antonia Trichopoulos, Dimitrios Lagiou, Pagona Boeing, Heiner Fisher, Eva Tumino, Rosario Agnoli, Claudia Hainaut, Pierre PLoS One Research Article The European Prospective Investigation into Cancer and nutrition (EPIC) is a long-term, multi-centric prospective study in Europe investigating the relationships between cancer and nutrition. This study has served as a basis for a number of Genome-Wide Association Studies (GWAS) and other types of genetic analyses. Over a period of 5 years, 52,256 EPIC DNA samples have been extracted using an automated DNA extraction platform. Here we have evaluated the pre-analytical factors affecting DNA yield, including anthropometric, epidemiological and technical factors such as center of subject recruitment, age, gender, body-mass index, disease case or control status, tobacco consumption, number of aliquots of buffy coat used for DNA extraction, extraction machine or procedure, DNA quantification method, degree of haemolysis and variations in the timing of sample processing. We show that the largest significant variations in DNA yield were observed with degree of haemolysis and with center of subject recruitment. Age, gender, body-mass index, cancer case or control status and tobacco consumption also significantly impacted DNA yield. Feedback from laboratories which have analyzed DNA with different SNP genotyping technologies demonstrate that the vast majority of samples (approximately 88%) performed adequately in different types of assays. To our knowledge this study is the largest to date to evaluate the sources of pre-analytical variations in DNA extracted from peripheral leucocytes. The results provide a strong evidence-based rationale for standardized recommendations on blood collection and processing protocols for large-scale genetic studies. Public Library of Science 2012-07-13 /pmc/articles/PMC3396633/ /pubmed/22808065 http://dx.doi.org/10.1371/journal.pone.0039821 Text en Caboux 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 Caboux, Elodie Lallemand, Christophe Ferro, Gilles Hémon, Bertrand Mendy, Maimuna Biessy, Carine Sims, Matt Wareham, Nick Britten, Abigail Boland, Anne Hutchinson, Amy Siddiq, Afshan Vineis, Paolo Riboli, Elio Romieu, Isabelle Rinaldi, Sabina Gunter, Marc J. Peeters, Petra H. M. van der Schouw, Yvonne T. Travis, Ruth Bueno-de-Mesquita, H. Bas Canzian, Federico Sánchez, Maria-José Skeie, Guri Olsen, Karina Standahl Lund, Eiliv Bilbao, Roberto Sala, Núria Barricarte, Aurelio Palli, Domenico Navarro, Carmen Panico, Salvatore Redondo, Maria Luisa Polidoro, Silvia Dossus, Laure Boutron-Ruault, Marie Christine Clavel-Chapelon, Françoise Trichopoulou, Antonia Trichopoulos, Dimitrios Lagiou, Pagona Boeing, Heiner Fisher, Eva Tumino, Rosario Agnoli, Claudia Hainaut, Pierre Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC |
title | Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC |
title_full | Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC |
title_fullStr | Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC |
title_full_unstemmed | Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC |
title_short | Sources of Pre-Analytical Variations in Yield of DNA Extracted from Blood Samples: Analysis of 50,000 DNA Samples in EPIC |
title_sort | sources of pre-analytical variations in yield of dna extracted from blood samples: analysis of 50,000 dna samples in epic |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3396633/ https://www.ncbi.nlm.nih.gov/pubmed/22808065 http://dx.doi.org/10.1371/journal.pone.0039821 |
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