RT Journal Article
T1 Sources of pre-analytical variations in yield of DNA extracted from blood samples: analysis of 50,000 DNA samples in EPIC.
A1 Caboux, Elodie
A1 Lallemand, Christophe
A1 Ferro, Gilles
A1 Hémon, Bertrand
A1 Mendy, Maimuna
A1 Biessy, Carine
A1 Sims, Matt
A1 Wareham, Nick
A1 Britten, Abigail
A1 Boland, Anne
A1 Hutchinson, Amy
A1 Siddiq, Afshan
A1 Vineis, Paolo
A1 Riboli, Elio
A1 Romieu, Isabelle
A1 Rinaldi, Sabina
A1 Gunter, Marc J
A1 Peeters, Petra H M
A1 van der Schouw, Yvonne T
A1 Travis, Ruth
A1 Bueno-de-Mesquita, H Bas
A1 Canzian, Federico
A1 Sanchez-Perez, Maria-Jose
A1 Skeie, Guri
A1 Olsen, Karina Standahl
A1 Lund, Eiliv
A1 Bilbao, Roberto
A1 Sala, Núria
A1 Barricarte, Aurelio
A1 Palli, Domenico
A1 Navarro, Carmen
A1 Panico, Salvatore
A1 Redondo, Maria Luisa
A1 Polidoro, Silvia
A1 Dossus, Laure
A1 Boutron-Ruault, Marie Christine
A1 Clavel-Chapelon, Françoise
A1 Trichopoulou, Antonia
A1 Trichopoulos, Dimitrios
A1 Lagiou, Pagona
A1 Boeing, Heiner
A1 Fisher, Eva
A1 Tumino, Rosario
A1 Agnoli, Claudia
A1 Hainaut, Pierre
K1 Factores de Edad
K1 Anciano
K1 Índice de Masa Corporal
K1 ADN
AB 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.
PB Public Library of Science
YR 2012
FD 2012-07-13
LK http://hdl.handle.net/10668/1328
UL http://hdl.handle.net/10668/1328
LA en
NO Caboux E, Lallemand C, Ferro G, Hémon B, Mendy M, Biessy C, et al. Sources of pre-analytical variations in yield of DNA extracted from blood samples: analysis of 50,000 DNA samples in EPIC. PLoS ONE; 7(7):e39821
NO Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't;
DS RISalud
RD Apr 12, 2025