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LifeGene—a large prospective population-based study of global relevance

Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number,...

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Autores principales: Almqvist, Catarina, Adami, Hans-Olov, Franks, Paul W., Groop, Leif, Ingelsson, Erik, Kere, Juha, Lissner, Lauren, Litton, Jan-Eric, Maeurer, Markus, Michaëlsson, Karl, Palmgren, Juni, Pershagen, Göran, Ploner, Alexander, Sullivan, Patrick F., Tybring, Gunnel, Pedersen, Nancy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087900/
https://www.ncbi.nlm.nih.gov/pubmed/21104112
http://dx.doi.org/10.1007/s10654-010-9521-x
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author Almqvist, Catarina
Adami, Hans-Olov
Franks, Paul W.
Groop, Leif
Ingelsson, Erik
Kere, Juha
Lissner, Lauren
Litton, Jan-Eric
Maeurer, Markus
Michaëlsson, Karl
Palmgren, Juni
Pershagen, Göran
Ploner, Alexander
Sullivan, Patrick F.
Tybring, Gunnel
Pedersen, Nancy L.
author_facet Almqvist, Catarina
Adami, Hans-Olov
Franks, Paul W.
Groop, Leif
Ingelsson, Erik
Kere, Juha
Lissner, Lauren
Litton, Jan-Eric
Maeurer, Markus
Michaëlsson, Karl
Palmgren, Juni
Pershagen, Göran
Ploner, Alexander
Sullivan, Patrick F.
Tybring, Gunnel
Pedersen, Nancy L.
author_sort Almqvist, Catarina
collection PubMed
description Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years.
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spelling pubmed-70879002020-03-23 LifeGene—a large prospective population-based study of global relevance Almqvist, Catarina Adami, Hans-Olov Franks, Paul W. Groop, Leif Ingelsson, Erik Kere, Juha Lissner, Lauren Litton, Jan-Eric Maeurer, Markus Michaëlsson, Karl Palmgren, Juni Pershagen, Göran Ploner, Alexander Sullivan, Patrick F. Tybring, Gunnel Pedersen, Nancy L. Eur J Epidemiol New Study Studying gene-environment interactions requires that the amount and quality of the lifestyle data is comparable to what is available for the corresponding genomic data. Sweden has several crucial prerequisites for comprehensive longitudinal biomedical research, such as the personal identity number, the universally available national health care system, continuously updated population and health registries and a scientifically motivated population. LifeGene builds on these strengths to bridge the gap between basic research and clinical applications with particular attention to populations, through a unique design in a research-friendly setting. LifeGene is designed both as a prospective cohort study and an infrastructure with repeated contacts of study participants approximately every 5 years. Index persons aged 18–45 years old will be recruited and invited to include their household members (partner and any children). A comprehensive questionnaire addressing cutting-edge research questions will be administered through the web with short follow-ups annually. Biosamples and physical measurements will also be collected at baseline, and re-administered every 5 years thereafter. Event-based sampling will be a key feature of LifeGene. The household-based design will give the opportunity to involve young couples prior to and during pregnancy, allowing for the first study of children born into cohort with complete pre-and perinatal data from both the mother and father. Questions and sampling schemes will be tailored to the participants’ age and life events. The target of LifeGene is to enrol 500,000 Swedes and follow them longitudinally for at least 20 years. Springer Netherlands 2010-11-21 2011 /pmc/articles/PMC7087900/ /pubmed/21104112 http://dx.doi.org/10.1007/s10654-010-9521-x Text en © Springer Science+Business Media B.V. 2010 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle New Study
Almqvist, Catarina
Adami, Hans-Olov
Franks, Paul W.
Groop, Leif
Ingelsson, Erik
Kere, Juha
Lissner, Lauren
Litton, Jan-Eric
Maeurer, Markus
Michaëlsson, Karl
Palmgren, Juni
Pershagen, Göran
Ploner, Alexander
Sullivan, Patrick F.
Tybring, Gunnel
Pedersen, Nancy L.
LifeGene—a large prospective population-based study of global relevance
title LifeGene—a large prospective population-based study of global relevance
title_full LifeGene—a large prospective population-based study of global relevance
title_fullStr LifeGene—a large prospective population-based study of global relevance
title_full_unstemmed LifeGene—a large prospective population-based study of global relevance
title_short LifeGene—a large prospective population-based study of global relevance
title_sort lifegene—a large prospective population-based study of global relevance
topic New Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087900/
https://www.ncbi.nlm.nih.gov/pubmed/21104112
http://dx.doi.org/10.1007/s10654-010-9521-x
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