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Published in: European Journal of Epidemiology 2/2013

01-02-2013 | NEW STUDY

EpiHealth: a large population-based cohort study for investigation of gene–lifestyle interactions in the pathogenesis of common diseases

Authors: Lars Lind, Sölve Elmståhl, Ebba Bergman, Martin Englund, Eva Lindberg, Karl Michaelsson, Peter M. Nilsson, Johan Sundström

Published in: European Journal of Epidemiology | Issue 2/2013

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Abstract

The most common diseases affecting middle-aged and elderly subjects in industrialized countries are multigenetic and lifestyle related. Several attempts have been made to study interactions between genes and lifestyle factors, but most such studies lack the power to examine interactions between several genes and several lifestyle components. The primary objective of the EpiHealth cohort study is to provide a resource to study interactions between several genotypes and lifestyle factors in a large cohort (the aim is 300,000 individuals) derived from the Swedish population in the age range of 45–75 years regarding development of common degenerative disorders, such as cardiovascular diseases, cancer, dementia, joint pain, obstructive lung disease, depression, and osteoporotic fractures. The study consists of three parts. First, a collection of data on lifestyle factors by self-assessment using an internet-based questionnaire. Second, a visit to a test center where blood samples are collected and physiological parameters recorded. Third, the sample is followed for occurrence of outcomes using nationwide medical registers. This overview presents the study design and some baseline characteristics from the first year of data collection in the EpiHealth study.
Literature
1.
go back to reference Marras C, Goldman SM. Genetics meets environment: evaluating gene–environment interactions in neurologic diseases. Semin Neurol. 2011;31(5):553–61.PubMedCrossRef Marras C, Goldman SM. Genetics meets environment: evaluating gene–environment interactions in neurologic diseases. Semin Neurol. 2011;31(5):553–61.PubMedCrossRef
2.
go back to reference Renz H, Autenrieth IB, Brandtzaeg P, et al. Gene–environment interaction in chronic disease: a European Science Foundation Forward Look. J Allergy Clin Immunol. 2011;128(6 Suppl):S27–49.PubMedCrossRef Renz H, Autenrieth IB, Brandtzaeg P, et al. Gene–environment interaction in chronic disease: a European Science Foundation Forward Look. J Allergy Clin Immunol. 2011;128(6 Suppl):S27–49.PubMedCrossRef
3.
go back to reference Heim C, Binder EB. Current research trends in early life stress and depression: review of human studies on sensitive periods, gene–environment interactions, and epigenetics. Exp Neurol. 2012;233(1):102–11.PubMedCrossRef Heim C, Binder EB. Current research trends in early life stress and depression: review of human studies on sensitive periods, gene–environment interactions, and epigenetics. Exp Neurol. 2012;233(1):102–11.PubMedCrossRef
4.
go back to reference de Magalhaes JP, Wuttke D, Wood SH, Plank M, Vora C. Genome–environment interactions that modulate aging: powerful targets for drug discovery. Pharmacol Rev. 2012;64(1):88–101.PubMedCrossRef de Magalhaes JP, Wuttke D, Wood SH, Plank M, Vora C. Genome–environment interactions that modulate aging: powerful targets for drug discovery. Pharmacol Rev. 2012;64(1):88–101.PubMedCrossRef
5.
go back to reference Rigoli L, Briuglia S, Caimmi S, et al. Gene–environment interaction in childhood asthma. Int J Immunopathol Pharmacol. 2011;24(4 Suppl):41–7.PubMed Rigoli L, Briuglia S, Caimmi S, et al. Gene–environment interaction in childhood asthma. Int J Immunopathol Pharmacol. 2011;24(4 Suppl):41–7.PubMed
6.
go back to reference Dunn EC, Uddin M, Subramanian SV, Smoller JW, Galea S, Koenen KC. Research review: gene–environment interaction research in youth depression: a systematic review with recommendations for future research. J Child Psychol Psychiatry. 2011;52(12):1223–38.PubMedCrossRef Dunn EC, Uddin M, Subramanian SV, Smoller JW, Galea S, Koenen KC. Research review: gene–environment interaction research in youth depression: a systematic review with recommendations for future research. J Child Psychol Psychiatry. 2011;52(12):1223–38.PubMedCrossRef
7.
go back to reference Cornelis MC, Hu FB. Gene–environment interactions in the development of type 2 diabetes: recent progress and continuing challenges. Annu Rev Nutr. 2012;32:245–59. Cornelis MC, Hu FB. Gene–environment interactions in the development of type 2 diabetes: recent progress and continuing challenges. Annu Rev Nutr. 2012;32:245–59.
8.
go back to reference Lee YC, Lai CQ, Ordovas JM, Parnell LD. A database of gene–environment interactions pertaining to blood lipid traits, cardiovascular disease and type 2 diabetes. J Data Mining Genomics Proteomics. 2011;2(1):106. Lee YC, Lai CQ, Ordovas JM, Parnell LD. A database of gene–environment interactions pertaining to blood lipid traits, cardiovascular disease and type 2 diabetes. J Data Mining Genomics Proteomics. 2011;2(1):106.
9.
go back to reference Collins FS. The case for a US prospective cohort study of genes and environment. Nature. 2004;429(6990):475–7.PubMedCrossRef Collins FS. The case for a US prospective cohort study of genes and environment. Nature. 2004;429(6990):475–7.PubMedCrossRef
10.
go back to reference Ollier W, Sprosen T, Peakman T. UK Biobank: from concept to reality. Pharmacogenomics. 2005;6(6):639–46.PubMedCrossRef Ollier W, Sprosen T, Peakman T. UK Biobank: from concept to reality. Pharmacogenomics. 2005;6(6):639–46.PubMedCrossRef
11.
go back to reference Gulcher J, Stefansson K. Population genomics: laying the groundwork for genetic disease modeling and targeting. Clin Chem Lab Med. 1998;36(8):523–7.PubMedCrossRef Gulcher J, Stefansson K. Population genomics: laying the groundwork for genetic disease modeling and targeting. Clin Chem Lab Med. 1998;36(8):523–7.PubMedCrossRef
12.
go back to reference Nakamura Y. The biobank Japan project. Clin Adv Hematol Oncol. 2007;5(9):696–7.PubMed Nakamura Y. The biobank Japan project. Clin Adv Hematol Oncol. 2007;5(9):696–7.PubMed
13.
go back to reference Chen Z, Lee L, Chen J, et al. Cohort profile: the Kadoorie Study of chronic disease in China (KSCDC). Int J Epidemiol. 2005;34(6):1243–9.PubMedCrossRef Chen Z, Lee L, Chen J, et al. Cohort profile: the Kadoorie Study of chronic disease in China (KSCDC). Int J Epidemiol. 2005;34(6):1243–9.PubMedCrossRef
14.
go back to reference Naess O, Sogaard AJ, Arnesen E, et al. Cohort profile: cohort of Norway (CONOR). Int J Epidemiol. 2008;37(3):481–5.PubMedCrossRef Naess O, Sogaard AJ, Arnesen E, et al. Cohort profile: cohort of Norway (CONOR). Int J Epidemiol. 2008;37(3):481–5.PubMedCrossRef
15.
go back to reference Stolk RP, Rosmalen JG, Postma DS, et al. Universal risk factors for multifactorial diseases: lifelines: a three-generation population-based study. Eur J Epidemiol. 2008;23(1):67–74.PubMedCrossRef Stolk RP, Rosmalen JG, Postma DS, et al. Universal risk factors for multifactorial diseases: lifelines: a three-generation population-based study. Eur J Epidemiol. 2008;23(1):67–74.PubMedCrossRef
16.
go back to reference Nilsen RM, Vollset SE, Gjessing HK, et al. Self-selection and bias in a large prospective pregnancy cohort in Norway. Paediatr Perinat Epidemiol. 2009;23(6):597–608.PubMedCrossRef Nilsen RM, Vollset SE, Gjessing HK, et al. Self-selection and bias in a large prospective pregnancy cohort in Norway. Paediatr Perinat Epidemiol. 2009;23(6):597–608.PubMedCrossRef
17.
go back to reference Golding J, Pembrey M, Jones R. ALSPAC: the Avon longitudinal study of parents and children. I. Study methodology. Paediatr Perinat Epidemiol. 2001;15(1):74–87.PubMedCrossRef Golding J, Pembrey M, Jones R. ALSPAC: the Avon longitudinal study of parents and children. I. Study methodology. Paediatr Perinat Epidemiol. 2001;15(1):74–87.PubMedCrossRef
18.
go back to reference Landrigan PJ, Trasande L, Thorpe LE, et al. The national children’s study: a 21-year prospective study of 100,000 American children. Pediatrics. 2006;118(5):2173–86.PubMedCrossRef Landrigan PJ, Trasande L, Thorpe LE, et al. The national children’s study: a 21-year prospective study of 100,000 American children. Pediatrics. 2006;118(5):2173–86.PubMedCrossRef
19.
go back to reference Keil T, Kulig M, Simpson A, et al. European birth cohort studies on asthma and atopic diseases: II. Comparison of outcomes and exposures: a GA2LEN initiative. Allergy. 2006;61(9):1104–11.PubMedCrossRef Keil T, Kulig M, Simpson A, et al. European birth cohort studies on asthma and atopic diseases: II. Comparison of outcomes and exposures: a GA2LEN initiative. Allergy. 2006;61(9):1104–11.PubMedCrossRef
20.
go back to reference Inskip HM, Godfrey KM, Robinson SM, Law CM, Barker DJ, Cooper C. Cohort profile: the Southampton women’s survey. Int J Epidemiol. 2006;35(1):42–8.PubMedCrossRef Inskip HM, Godfrey KM, Robinson SM, Law CM, Barker DJ, Cooper C. Cohort profile: the Southampton women’s survey. Int J Epidemiol. 2006;35(1):42–8.PubMedCrossRef
21.
go back to reference Almqvist C, Adami HO, Franks PW, et al. Lifegene: a large prospective population-based study of global relevance. Eur J Epidemiol. 2011;26(1):67–77.PubMedCrossRef Almqvist C, Adami HO, Franks PW, et al. Lifegene: a large prospective population-based study of global relevance. Eur J Epidemiol. 2011;26(1):67–77.PubMedCrossRef
22.
go back to reference Friberg L, Engdahl J, Frykman V, Svennberg E, Levin LA, Rosenqvist M. Population screening of 75- and 76-year-old men and women for silent atrial fibrillation (STROKESTOP). Europace. 2013;15(1):135–40.PubMedCrossRef Friberg L, Engdahl J, Frykman V, Svennberg E, Levin LA, Rosenqvist M. Population screening of 75- and 76-year-old men and women for silent atrial fibrillation (STROKESTOP). Europace. 2013;15(1):135–40.PubMedCrossRef
23.
go back to reference Wiberg B, Lind L, Kilander L, Zethelius B, Sundelöf JE, Sundström J. Cognitive function and risk of stroke in elderly men. Neurology. 2010;74(5):379–85.PubMedCrossRef Wiberg B, Lind L, Kilander L, Zethelius B, Sundelöf JE, Sundström J. Cognitive function and risk of stroke in elderly men. Neurology. 2010;74(5):379–85.PubMedCrossRef
24.
go back to reference Carlsson L, Lind L, Larsson A. Reference values for 27 clinical chemistry tests in 70-year-old males and females. Gerontology. 2010;56(3):259–65.PubMedCrossRef Carlsson L, Lind L, Larsson A. Reference values for 27 clinical chemistry tests in 70-year-old males and females. Gerontology. 2010;56(3):259–65.PubMedCrossRef
25.
go back to reference Davey Smith G, Ebrahim S, Lewis S, Hansell AL, Palmer LJ, Burton PR. Genetic epidemiology and public health: hope, hype, and future prospects. Lancet. 2005;366:1484–98.PubMedCrossRef Davey Smith G, Ebrahim S, Lewis S, Hansell AL, Palmer LJ, Burton PR. Genetic epidemiology and public health: hope, hype, and future prospects. Lancet. 2005;366:1484–98.PubMedCrossRef
26.
go back to reference Riboli E, Kaaks R. The EPIC project: rationale and study design. European prospective investigation into cancer and nutrition. Int J Epidemiol. 1997;26(Suppl 1):S6–14.PubMedCrossRef Riboli E, Kaaks R. The EPIC project: rationale and study design. European prospective investigation into cancer and nutrition. Int J Epidemiol. 1997;26(Suppl 1):S6–14.PubMedCrossRef
27.
go back to reference Calltorp J, Adami HO, Aström H, Fryklund L, Rossner S, Trolle Y, Giesecke J. Country profile: Sweden. Lancet. 1996;347:587–94.PubMedCrossRef Calltorp J, Adami HO, Aström H, Fryklund L, Rossner S, Trolle Y, Giesecke J. Country profile: Sweden. Lancet. 1996;347:587–94.PubMedCrossRef
Metadata
Title
EpiHealth: a large population-based cohort study for investigation of gene–lifestyle interactions in the pathogenesis of common diseases
Authors
Lars Lind
Sölve Elmståhl
Ebba Bergman
Martin Englund
Eva Lindberg
Karl Michaelsson
Peter M. Nilsson
Johan Sundström
Publication date
01-02-2013
Publisher
Springer Netherlands
Published in
European Journal of Epidemiology / Issue 2/2013
Print ISSN: 0393-2990
Electronic ISSN: 1573-7284
DOI
https://doi.org/10.1007/s10654-013-9787-x

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