The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: Design, results and future prospects.
Eur. J. Epidemiol. 34, 279-300 (2019)
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.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Genetics ; Consortium ; Childhood Traits And Disorders ; Longitudinal; Genome-wide Association; Ld Score Regression; Longitudinal Twin; Childhood Obesity; Common Variants; Blood-pressure; Birth-weight; Body-mass; Loci; Metaanalysis
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2019
Prepublished im Jahr
HGF-Berichtsjahr
2019
ISSN (print) / ISBN
0393-2990
e-ISSN
1573-7284
ISBN
Bandtitel
Konferenztitel
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Konferenzort
Konferenzband
Quellenangaben
Band: 34,
Heft: 3,
Seiten: 279-300
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Springer
Verlagsort
Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands
Tag d. mündl. Prüfung
0000-00-00
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Gutachter
Prüfer
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0000-00-00
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0000-00-00
Anmelder/Inhaber
weitere Inhaber
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Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-008
Förderungen
Copyright
Erfassungsdatum
2019-05-08