TY - JOUR
T1 - The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia
T2 - design, results and future prospects
AU - EAGLE Consortium
AU - EGG Consortium
AU - EGG Membership
AU - EAGLE Membership
AU - Middeldorp, Christel M.
AU - Mahajan, Anubha
AU - Horikoshi, Momoko
AU - Robertson, Neil R.
AU - Beaumont, Robin N.
AU - Bradfield, Jonathan P.
AU - Bustamante, Mariona
AU - Cousminer, Diana L.
AU - Day, Felix R.
AU - De Silva, N. Maneka
AU - Guxens, Monica
AU - Mook-Kanamori, Dennis O.
AU - St Pourcain, Beate
AU - Warrington, Nicole M.
AU - Adair, Linda S.
AU - Ahlqvist, Emma
AU - Ahluwalia, Tarunveer S.
AU - Almgren, Peter
AU - Ang, Wei
AU - Atalay, Mustafa
AU - Auvinen, Juha
AU - Bartels, Meike
AU - Beckmann, Jacques S.
AU - Bilbao, Jose Ramon
AU - Bond, Tom
AU - Borja, Judith B.
AU - Cavadino, Alana
AU - Charoen, Pimphen
AU - Davies, Gareth E.
AU - Hartman, Catharina A.
AU - Kerkhof, Marjan
AU - Koppelman, Gerard H.
AU - Li, Jin
AU - Nolte, Ilja M.
AU - Oldehinkel, Albertine J.
AU - Snieder, Harold
AU - van der Most, Peter J.
AU - Vonk, Judith M.
AU - Xu, Cheng-Jian
AU - Kerkhof, Marjan
PY - 2019/3
Y1 - 2019/3
N2 - 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.
AB - 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.
KW - Genetics
KW - Consortium
KW - Childhood traits and disorders
KW - Longitudinal
KW - GENOME-WIDE ASSOCIATION
KW - LD SCORE REGRESSION
KW - LONGITUDINAL TWIN
KW - CHILDHOOD OBESITY
KW - COMMON VARIANTS
KW - BLOOD-PRESSURE
KW - BIRTH-WEIGHT
KW - BODY-MASS
KW - LOCI
KW - METAANALYSIS
U2 - 10.1007/s10654-019-00502-9
DO - 10.1007/s10654-019-00502-9
M3 - Article
C2 - 30887376
AN - SCOPUS:85063253340
SN - 0393-2990
VL - 34
SP - 279
EP - 300
JO - European Journal of Epidemiology
JF - European Journal of Epidemiology
IS - 3
ER -