European Journal of Epidemiology

, Volume 26, Issue 1, pp 67–77

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

Authors

    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
    • Astrid Lindgren Children’s HospitalKarolinska University Hospital
  • Hans-Olov Adami
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
    • Department of EpidemiologyHarvard School of Public Health
  • Paul W. Franks
    • Department of Public Health & Clinical Medicine, Section for MedicineUmeå University Hospital Sweden
    • Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Skåne University HospitalLund University
  • Leif Groop
    • Department of Clinical Sciences, Diabetes and Endocrinology UnitLund University
  • Erik Ingelsson
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
  • Juha Kere
    • Department of Biosciences and NutritionKarolinska Institutet
  • Lauren Lissner
    • Department of Public Health and Community MedicineUniversity of Gothenburg
  • Jan-Eric Litton
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
  • Markus Maeurer
    • Department of Microbiology, Tumor and Cell Biology Karolinska Institutet
    • Swedish Institute for Infectious Disease Control
  • Karl Michaëlsson
    • Department of Surgical SciencesUppsala University
  • Juni Palmgren
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
    • Department of Mathematical StatisticsStockholm University
  • Göran Pershagen
    • Institute of Environmental MedicineKarolinska Institutet
  • Alexander Ploner
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
  • Patrick F. Sullivan
    • Department of GeneticsUniversity of North Carolina at Chapel Hill
  • Gunnel Tybring
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
    • Department of Medical Epidemiology and BiostatisticsKarolinska Institutet
NEW STUDY

DOI: 10.1007/s10654-010-9521-x

Cite this article as:
Almqvist, C., Adami, H., Franks, P.W. et al. Eur J Epidemiol (2011) 26: 67. doi:10.1007/s10654-010-9521-x

Abstract

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.

Keywords

BiobankCohort studyEpidemiologyProspective studyQuestionnairesPopulation genetics

Abbreviations

DLW

Doubly labelled water

DNA

Deoxyribonucleic acid

EDTA

Ethylenediaminetetraacetic acid

GWAS

Genome wide association studies

ILI

Influenza-like illness

PCR

Polymerase chain reaction

WHO

World Health Organisation

Copyright information

© Springer Science+Business Media B.V. 2010