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Article

EAGLE (The EArly Genetics and Lifecourse Epidemiology Consortium)

 
 

EAGLE EArly Genetics and Lifecourse Epidemiology Consortium is a consortium of pregnancy and birth cohorts that aims to collaborate to investigate the genetic basis of phenotypes related to physical and mental health from antenatal and early life to adolescence.

EAGLE covers a broad range of pathways and phenotypes, and will integrate closely with the DOHaD (Developmental Origins of Health And Disease) community.

 

 

Participating cohorts

1958 British Birth Cohort (58BC)  

Avon Longitudinal Study on Parents and Children (ALSPAC)  

Child and Adolescent Twin Study in Sweden (CATSS)  

Children's Hospital of Philadelphia cohort (CHOP)

COpenhagen Studies on Asthma in Childhood (COPSAC)  

Danish National Birth Cohort (DNBC)  

Exeter Family Study of Childhood Health (Exeter Family Study)  

Generation R  

GINI+ 

Helsinki Birth Cohort Study  

INfancio y Medio Ambiente (INMA)  

LISA+  

Norwegian Mother and Child Cohort Study (MOBA)  

Netherlands Twin Register (NTR)  

Northern Finland Birth Cohort (NFBC)  

Project Viva  

Twin Study of Child and Adolescent Development  

Twins Early Development Study (TEDS)  

Western Australian Pregnancy Cohort study (Raine)  

 

 

EAGLE working groups and leaders:

Antenatal Growth (Vincent Jaddoe and Craig Pennell)

Asthma, Allergy and Atopy (Hans Bisgaard, Klaus Bønnelykke and Joachim Heinrich)

Behaviour and Cognition (Christel Middeldorp, Camilla Stoltenberg and Henning Tiemeier)

Birth Biometry (Inga Prokopenko and Mark McCarthy)

Bone Health (Fernando Rivadeneira and Nic Timpson)

Cardiovascular Risk Factors (Lyle Palmer and Vincent Jaddoe)

Insulin and Metabolic Syndrome (Inga Prokopenko, Mark McCarthy and Tim Frayling)

Postnatal Growth (Mark McCarthy, Tim Frayling and Marjo-Riitta Järvelin)

Puberty (Elisabeth Widen and Marjo-Riitta Järvelin)

 

 

Principal Investigator or primary contacts

Vincent Jaddoe (v.jaddoe@erasmusmc.nl)

Craig Pennell (craig.pennell@uwa.edu.au)

Mark McCarthy (mark.mccarthy@drl.ox.ac.uk)

Hans Bisgaard (bisgaard@copsac.com)

Joachim Heinrich (joachim.heinrich@gsf.de)

Christel Middeldorp (c.m.middeldorp@vu.nl)

Camilla Stoltenberg (camilla.stoltenberg@fhi.no)

Henning Tiemeier (h.tiemeier@erasmusmc.nl)

Inga Prokopenko (inga@well.ox.ac.uk)

Nicholas Timpson (n.j.timpson@bristol.ac.uk)

Tim Frayling (tim.frayling@pms.ac.uk)

Elisabeth Widen@helsinki.fi (elisabeth.widen@helsinki.fi)

Marjo-Riitta Järvelin (m.jarvelin@imperial.ac.uk)

Struan Grant (grants@chop.edu)

Cock van Duijn (c.vanduijn@erasmusmc.nl)

Dorret Boomsma (d.i.boomsma@vu.nl)

 

 

Phenotypes

EAGLE covers a broad range of childhood phenotypes (see list above).

Genome-wide association meta-analyses are ongoing for aggression, adhd, motor milestones, sleep, atopic dermatitis, height at age one, BMI

 

 

Approx. total number of subjects

Over 60,000

 

 

GWAS data available

Yes

 

 

GWA meta-analyses summary results

GWAS on sleep duration BMI adjusted model   Marinelli et al, 2016, Sleep

 

GWAS on sleep duration basic model   Marinelli et al, 2016, Sleep

 

ADHD   Middeldorp et al, 2016, J Am Acad Child Adolesc Psychiatry

 

Aggression   Pappa et al 2015, Am J Med Genet B Neuropsychiatr Genet

 

Birth Length    Van der Valk et al, 2014, Hum Mol Genet

 

Birth weight   Horikoshi et al, 2012, Nat Genet, Horikoshi et al, 2016, Nature

 

BMI   Felix et al, 2015, Hum Mol Genet

 

Diarrhoeal Disease   Bustamante et al, 2016, Hum Mol Genet  

 

Head circumference   Taal et al, 2012, Nat Genet

  

Internalizing problems   Benke et al, 2014, J Am Acad Child Adolesc Psychiatry

 

Obesity   Bradfield et al, 2012, Nat Genet

 

Pubertal Growth   Cousminer et al, 2012, Hum Mol Genet

 

Tanner stage   Cousminer et al, 2014, Hum Mol Genet 

 

 

Publications

Bustamante M, et al.  A genome-wide association meta-analysis of diarrhoeal disease in young children identifies FUT2 locus and provides plausible biological pathways. Hum Mol Genet. 2016.  

 

Horikoshi M, et al. Genome-wide associations for birth weight and correlations with adult disease. Nature. 2016;538:248-252.

 

Parmar PG, et al. International Genome-Wide Association Study Consortium Identifies Novel Loci Associated With Blood Pressure in Children and Adolescents. Circ Cardiovasc Genet. 2016;9:266-278.  

 

Tyrrell J, et al. Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight. JAMA. 2016; 315:1129-1140.  

 

Marinelli M, et al. Heritability and Genome-Wide Association Analyses of Sleep Duration in Children: The EAGLE Consortium. Sleep. 2016;39:1859-1869.  

 

Middeldorp CM, et al. A Genome-Wide Association Meta-Analysis of Attention-Deficit/Hyperactivity Disorder Symptoms in Population-Based Pediatric Cohorts. J Am Acad Child Adolesc Psychiatry. 2016;55:896-905.  

 

Felix JF, et al. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Hum Mol Genet. 2016;25:389-403.  

 

Pappa I, et al. A genome-wide approach to children's aggressive behavior: The EAGLE consortium. Am J Med Genet B Neuropsychiatr Genet. 2016;171:562-572.  

Van der Valk RJ, et al. A novel common variant in DCST2 is associated with length in early life and height in adulthood. Hum Mol Genet. 2015;24:1155-1168.  

 

Paternoster L,  et al. Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis. Nat Genet. 2015;47:1449-1456.  

 

Bouzigon E, et al. A common variant in RAB27A gene is associated with fractional exhaled nitric oxide levels in adults. Clin Exp Allergy. 2015;45:797-806.  

 

Benke KS, et al. A genome-wide association meta-analysis of preschool internalizing problems. J Am Acad Child Adolesc Psychiatry. 2014;53:667-676.   

 

Perry JR, et al. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche. Nature. 2014;514: 92-97.  

 

Cousminer DL, et al. Genome-wide association study of sexual maturation in males and females highlights a role for body mass and menarche loci in male puberty. Hum Mol Genet. 2014;23:4452-4464.  

 

Van der Valk RJ, Duijts L, Timpson NJ, et al. Fraction of exhaled nitric oxide values in childhood are associated with 17q11.2-q12

and 17q12-q21 variants. J Allergy Clin Immunol. 2014;134:46-55.  

 

St Pourcain B, et al. Common variation near ROBO2 is associated with expressive vocabulary in infancy. Nat Commun. 2014;5: 4831.  

 

Bonnelykke K, et al. Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization. Nat Genet. 2013;45:902-906.  

 

Cousminer DL, et al. Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity. Hum Mol Genet. 2013;22:2735-2747.  

 

Horikoshi M, et al. New loci associated with birth weight identify genetic links between intrauterine growth and adultheight and metabolism. Nat Genet. 2013;45:76-82.  

 

Paternoster L, et al. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis. Nat Genet. 2011;44:187-192.  

 

Bradfield JP, et al. A genome-wide association meta-analysis identifies new childhood obesity loci. Nat.Genet. 2012;44:526-531. 

 

Ikram MA, et al. Common variants at 6q22 and 17q21 are associated with intracranial volume. Nat Genet. 2012;44:539-544.  

 

Taal HR, et al. Common variants at 12q15 and 12q24 are associated with infant head circumference. Nat.Genet. 2012;44: 532-538.  

 

Taal HR, et al. Genome-wide profiling of blood pressure in adults and children. Hypertension. 2012;59:241-247.  

 

Freathy RM, Mook-Kanamori DO, Sovio U, et al. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birthweight. Nat.Genet. 2010;42:430-435.  

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 
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