Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124912
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Type: Journal article
Title: The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects
Author: Middeldorp, C.M.
Felix, J.F.
Mahajan, A.
Ahluwalia, T.S.
Auvinen, J.
Bartels, M.
Bilbao, J.R.
Bisgaard, H.
Bønnelykke, K.
Boomsma, D.I.
Bradfield, J.P.
Bustamante, M.
Chen, Z.
Curtin, J.A.
Custovic, A.
Smith, G.D.
Davies, G.E.
Duijts, L.
Eastwood, P.R.
Eliasen, A.U.
et al.
Citation: European Journal of Epidemiology, 2019; 34(3):279-300
Publisher: Springer Nature
Issue Date: 2019
ISSN: 0393-2990
1573-7284
Statement of
Responsibility: 
Christel M Middeldorp, Debbie A. Lawlor … Mark I McCarthy … et al.
Abstract: The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.
Keywords: Genetics; consortium; childhood traits and disorders; longitudinal
Rights: © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
DOI: 10.1007/s10654-019-00502-9
Grant ID: http://purl.org/au-research/grants/nhmrc/1104818
http://purl.org/au-research/grants/nhmrc/1103623
http://purl.org/au-research/grants/nhmrc/1105807
http://purl.org/au-research/grants/arc/FT130101709
http://purl.org/au-research/grants/nhmrc/GNT1137714
R01 HD056465
Published version: http://dx.doi.org/10.1007/s10654-019-00502-9
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