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Early Genetics and Lifecourse Epidemiology (EAGLE) consortium CM van Duijn

Early Genetics and Lifecourse Epidemiology (EAGLE) consortium CM van Duijn. Outline. Aims Participants Structure. Aims.

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Early Genetics and Lifecourse Epidemiology (EAGLE) consortium CM van Duijn

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  1. Early Genetics and Lifecourse Epidemiology (EAGLE) consortiumCM van Duijn

  2. Outline • Aims • Participants • Structure

  3. Aims EAGLE is a consortium of pregnancy and birth cohorts that aims to collaborate to investigate the genetic basis of phenotypes in fetal life, early postnatal life and childhood

  4. Cohorts • Cohort selection is primary based on the availability of genome wide association (GWA) data • Eagle is open to participation of cohorts without GWA data for replication and other purposes

  5. Participants • Amsterdam (Twin register) • Boston (VIVA) • Bristol (ALSPAC) • Copenhagen (COPSAC) • Copenhagen (DBC) • Exeter (Exeter Family Study) • Helsinki Birth cohort • Munich (GINI, LISA) • London (1985 Cohort) • London Imperial (NFBC 66) • Oslo (MOBA) • Oxford • Perth (Raine) • Philadelphia (CHOP) • Rotterdam (Generation R) • Other: GWAS / replication?

  6. Organisation • Research Collaboration Committee (RCC) • Statistical analysis sub committee • Working groups

  7. RCC • Will comprise up to two members to represent each cohort, and will have the role of coordinating EAGLE activities • RCC establishes guidelines for timely participation, the overall analytic approach, the joint selection of phenotypes, the publication strategies, and the approaches to authorship

  8. RCC • Establishes working groups for each phenotype of joint interest, and appoints coordinator(s) to take lead responsibility for practical management • Aims for transparency, timely communication, effective coordination, and a sharing of responsibilities, challenges, and opportunities among cohort members • RCC enables collaboration among members of the consortium and valuable non-consortium partners

  9. RCC • Recruits other population-based cohort studies to join the consortium • Enables joint ancillary-study grant applications • Forms additional committees as needed, for instance, to formulate plans for resequencing and genotyping in new populations • Seeks opportunities to promote careers of junior investigators and fellows

  10. Organisation • Research Collaboration Committee (RCC) • Statistical analysis sub committee • Working groups

  11. Statistical analysis committee • Choice of analytic methods • Development and implementation of analysis plan • Interpretation of results • Development of new methods and software (longitudinal)

  12. Working Groups • Antenatal growth • Astma and lung function • Behavior and cognition • Birth biometry and postnatal growth • Blood pressure and related vascular factors • Bone health • Infectious disease • Insulin and metabolic syndrome • Puberty

  13. Working Groups • Selection based on first meeting: • Interest • Availability • Collaboration • Competition

  14. Working group • Consists of cohorts participating in the consortium of population-based cohorts (one or two members per study) • Selects a Coordinator, who may or may not be the Coordinator originally identified by the RCC, to run meetings and calls for practical management • May add non-member studies, such as case-control studies or other consortia

  15. Working group • Decides whether and when a new study may become a member • Decides on a date for data freeze • Aims for transparency, timely communication, effective coordination, and a sharing of responsibilities, challenges, and opportunities among study members • Members may opt out of a WG, but this decision to opt out of a working group must take place before WGA genotype-phenotype data are shared

  16. Working group • Members agree not to share whole-genome genotype-phenotype findings from other studies in the WG with any outside groups without permission of the group • Members have access to other unshared data, the results that emerge from a combined analysis of shared and unshared data will be treated as if they arose from the WG shared data.

  17. Working group • Members may agree to work with other studies and serve as a replication study for top hits for other GWA studies or candidate gene studies. This plan should be disclosed • May encourage joint ancillary-study grant applications to accomplish new scientific aims • Agrees to seek opportunities to promote careers of junior investigators and fellows

  18. Authorships • Policy needs to balance rapid publication, strength of findings from replication, and equal partnership • Parent-study disclaimers, reviews, and approvals take place as required • Abstracts should follow the same rules as publications • Authorship for abstracts may be less due to space constraints, but the name of the consortium must be included

  19. Discussion • Comments • Amendments

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