The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects

EArly Genetics Lifecourse Epidemiology (EAGLE) consortium, Early Growth Genetics (EGG) Consortium

Research output: Contribution to JournalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)279-300
JournalEuropean Journal of Epidemiology
Volume34
Issue number3
DOIs
Publication statusPublished - Mar 2019

Fingerprint

Molecular Epidemiology
Sample Size
Genetic Research
Low Birth Weight Infant
Atopic Dermatitis
Growth
Birth Weight
Mental Disorders
Psychiatry
Cardiovascular Diseases
Phenotype
Population

Keywords

  • Childhood traits and disorders
  • Consortium
  • Genetics
  • Longitudinal

Cite this

EArly Genetics Lifecourse Epidemiology (EAGLE) consortium ; Early Growth Genetics (EGG) Consortium. / The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia : design, results and future prospects. In: European Journal of Epidemiology. 2019 ; Vol. 34, No. 3. pp. 279-300.
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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 = "Childhood traits and disorders, Consortium, Genetics, Longitudinal",
author = "Middeldorp, {Christel M.} and Felix, {Janine F.} and Anubha Mahajan and Ahluwalia, {Tarunveer S.} and Juha Auvinen and Meike Bartels and Bilbao, {Jose Ramon} and Hans Bisgaard and Klaus B{\o}nnelykke and Boomsma, {Dorret I.} and Bradfield, {Jonathan P.} and Mariona Bustamante and Zhanghua Chen and Curtin, {John A.} and Adnan Custovic and Smith, {George Davey} and Davies, {Gareth E.} and Liesbeth Duijts and Eastwood, {Peter R.} and Eliasen, {Anders U.} and Xavier Estivill and Evans, {David M.} and Fedko, {Iryna O.} and Gauderman, {W. James} and Frank Gilliland and Raquel Granell and Grant, {Struan F.A.} and Monica Guxens and Hakon Hakonarson and Hartman, {Catharina A.} and Joachim Heinrich and Henders, {Anjali K.} and John Henderson and Patrick Holt and Hottenga, {Jouke Jan} and Elina Hypp{\"o}nen and Carmen I{\~n}{\'i}guez and Bo Jacobsson and Jaddoe, {Vincent W.V.} and J{\"a}rvelin, {Marjo Riitta} and Astanand Jugessur and Mika K{\"a}h{\"o}nen and Jaakko Kaprio and Ville Karhunen and Kemp, {John P.} and Koppelman, {Gerard H.} and Ashish Kumar and Jari Lahti and Henrik Larsson and Lawlor, {Debbie A.} and Terho Lehtim{\"a}ki and Jin Li and Paul Lichtenstein and Sebastian Lundstr{\"o}m and Lyytik{\"a}inen, {Leo Pekka} and Per Magnus and Mamun, {Abdullah A.} and Minna Mannikko and Martin, {Nicholas G.} and Hamdi Mbarek and Medland, {Sarah E.} and Erik Mel{\'e}n and Middeldorp, {Christel M.} and Najman, {Jackob M.} and Nivard, {Michel G.} and Nolte, {Ilja M.} and Oldehinkel, {Albertine J.} and Katja Pahkala and Teemu Palviainen and Lavinia Paternoster and Pennell, {Craig E.} and G{\"o}ran Pershagen and Niina Pitk{\"a}nen and Robert Plomin and Pourcain, {Beate St} and Christine Power and Lea Pulkkinen and Katri R{\"a}ikk{\"o}nen and Raitakari, {Olli T.} and Richmond, {Rebecca C.} and Fernando Rivadeneira and Rose, {Richard J.} and Loreto Santa-Marina and Scott, {James G.} and Sylvain Sebert and Saskia Selzam and Angela Simpson and Sleiman, {Patrick M.A.} and Harold Snieder and Marie Standl and Camilla Stoltenberg and Strachan, {David P.} and Leon Straker and Timo Strandberg and Jordi Sunyer and Elisabeth Thiering and Henning Tiemeier and Timpson, {Nicholas J.} and Maties Torrent and Uitterlinden, {Andr{\'e} G.} and {van Beijsterveldt}, Toos and {van der Most}, {Peter J.} and {van Duijn}, {Cornelia M.} and Jorma Viikari and Natalia Vilor-Tejedor and Vonk, {Judith M.} and Vrijkotte, {Tanja G.M.} and Eero Vuoksimaa and Wang, {Carol A.} and Whitehouse, {Andrew J.O.} and Gonneke Willemsen and Williams, {Gail M.} and Wray, {Naomi R.} and Shujing Xu and Xu, {Cheng Jian} and Lu Yi and Zafarmand, {Mohammad Hadi} and McCarthy, {Mark I.} and {EArly Genetics Lifecourse Epidemiology (EAGLE) consortium} and {Early Growth Genetics (EGG) Consortium}",
year = "2019",
month = "3",
doi = "10.1007/s10654-019-00502-9",
language = "English",
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pages = "279--300",
journal = "European Journal of Epidemiology",
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}

EArly Genetics Lifecourse Epidemiology (EAGLE) consortium & Early Growth Genetics (EGG) Consortium 2019, 'The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects' European Journal of Epidemiology, vol. 34, no. 3, pp. 279-300. https://doi.org/10.1007/s10654-019-00502-9

The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia : design, results and future prospects. / EArly Genetics Lifecourse Epidemiology (EAGLE) consortium; Early Growth Genetics (EGG) Consortium.

In: European Journal of Epidemiology, Vol. 34, No. 3, 03.2019, p. 279-300.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia

T2 - design, results and future prospects

AU - Middeldorp, Christel M.

AU - Felix, Janine F.

AU - Mahajan, Anubha

AU - Ahluwalia, Tarunveer S.

AU - Auvinen, Juha

AU - Bartels, Meike

AU - Bilbao, Jose Ramon

AU - Bisgaard, Hans

AU - Bønnelykke, Klaus

AU - Boomsma, Dorret I.

AU - Bradfield, Jonathan P.

AU - Bustamante, Mariona

AU - Chen, Zhanghua

AU - Curtin, John A.

AU - Custovic, Adnan

AU - Smith, George Davey

AU - Davies, Gareth E.

AU - Duijts, Liesbeth

AU - Eastwood, Peter R.

AU - Eliasen, Anders U.

AU - Estivill, Xavier

AU - Evans, David M.

AU - Fedko, Iryna O.

AU - Gauderman, W. James

AU - Gilliland, Frank

AU - Granell, Raquel

AU - Grant, Struan F.A.

AU - Guxens, Monica

AU - Hakonarson, Hakon

AU - Hartman, Catharina A.

AU - Heinrich, Joachim

AU - Henders, Anjali K.

AU - Henderson, John

AU - Holt, Patrick

AU - Hottenga, Jouke Jan

AU - Hyppönen, Elina

AU - Iñíguez, Carmen

AU - Jacobsson, Bo

AU - Jaddoe, Vincent W.V.

AU - Järvelin, Marjo Riitta

AU - Jugessur, Astanand

AU - Kähönen, Mika

AU - Kaprio, Jaakko

AU - Karhunen, Ville

AU - Kemp, John P.

AU - Koppelman, Gerard H.

AU - Kumar, Ashish

AU - Lahti, Jari

AU - Larsson, Henrik

AU - Lawlor, Debbie A.

AU - Lehtimäki, Terho

AU - Li, Jin

AU - Lichtenstein, Paul

AU - Lundström, Sebastian

AU - Lyytikäinen, Leo Pekka

AU - Magnus, Per

AU - Mamun, Abdullah A.

AU - Mannikko, Minna

AU - Martin, Nicholas G.

AU - Mbarek, Hamdi

AU - Medland, Sarah E.

AU - Melén, Erik

AU - Middeldorp, Christel M.

AU - Najman, Jackob M.

AU - Nivard, Michel G.

AU - Nolte, Ilja M.

AU - Oldehinkel, Albertine J.

AU - Pahkala, Katja

AU - Palviainen, Teemu

AU - Paternoster, Lavinia

AU - Pennell, Craig E.

AU - Pershagen, Göran

AU - Pitkänen, Niina

AU - Plomin, Robert

AU - Pourcain, Beate St

AU - Power, Christine

AU - Pulkkinen, Lea

AU - Räikkönen, Katri

AU - Raitakari, Olli T.

AU - Richmond, Rebecca C.

AU - Rivadeneira, Fernando

AU - Rose, Richard J.

AU - Santa-Marina, Loreto

AU - Scott, James G.

AU - Sebert, Sylvain

AU - Selzam, Saskia

AU - Simpson, Angela

AU - Sleiman, Patrick M.A.

AU - Snieder, Harold

AU - Standl, Marie

AU - Stoltenberg, Camilla

AU - Strachan, David P.

AU - Straker, Leon

AU - Strandberg, Timo

AU - Sunyer, Jordi

AU - Thiering, Elisabeth

AU - Tiemeier, Henning

AU - Timpson, Nicholas J.

AU - Torrent, Maties

AU - Uitterlinden, André G.

AU - van Beijsterveldt, Toos

AU - van der Most, Peter J.

AU - van Duijn, Cornelia M.

AU - Viikari, Jorma

AU - Vilor-Tejedor, Natalia

AU - Vonk, Judith M.

AU - Vrijkotte, Tanja G.M.

AU - Vuoksimaa, Eero

AU - Wang, Carol A.

AU - Whitehouse, Andrew J.O.

AU - Willemsen, Gonneke

AU - Williams, Gail M.

AU - Wray, Naomi R.

AU - Xu, Shujing

AU - Xu, Cheng Jian

AU - Yi, Lu

AU - Zafarmand, Mohammad Hadi

AU - McCarthy, Mark I.

AU - EArly Genetics Lifecourse Epidemiology (EAGLE) consortium

AU - Early Growth Genetics (EGG) Consortium

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 - Childhood traits and disorders

KW - Consortium

KW - Genetics

KW - Longitudinal

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U2 - 10.1007/s10654-019-00502-9

DO - 10.1007/s10654-019-00502-9

M3 - Article

VL - 34

SP - 279

EP - 300

JO - European Journal of Epidemiology

JF - European Journal of Epidemiology

SN - 0393-2990

IS - 3

ER -