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

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Presentation on theme: "Early Genetics and Lifecourse Epidemiology (EAGLE) consortium CM van Duijn."— Presentation transcript:

1 Early Genetics and Lifecourse Epidemiology (EAGLE) consortium CM 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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