The growth trajectory early in infancy and during childhood has been found pivotal in the early determination of adulthood metabolic health. In fact, early divergences from the normal growth curve at critical windows during infancy and later childhood are frequently associated with a higher incidence of obesity and impaired metabolic health in adulthood (Dietz WH, AJCN 1994). GWA studies have revealed several genetic variants associated with adult anthropometric measures such as weight and BMI. The main objective of this study to investigate whether phenotypes such as peak weight velocities (PWV) and timing of Adiposity Rebound(AR) derived from longitudinal data are associated with early adiposity (Sovio et al, PLoS Genet 2011). Since the effects of common variants on these traits are small or moderate, we propose a GWAS meta-analysis approach in the EGG cohorts that have both GWA data and frequent enough height and weight measurements available in infancy and/or middle childhood. The specific age window that will be considered: (1) infancy 0-2 years and (2) early childhood from 1.5-7 years. The phenotypes which are calculated are: peak weight velocity (PWV) in infancy, BMI and Age at Adiposity Peak (AP) and Adiposity rebound (AR). In ALSPAC, we propose calculation of PWV and BMI AP as it has data available on infant weight at birth, 6 weeks, 9 months and 18 months. The initial primary GWAS on 4 cohorts has been conducted within EGG and we have identified 8 SNPs reaching GWAS significance which are taken forward to replication stage within other available cohorts.