B3605 - Genetic influences on infant and childhood growth - 02/09/2020

B number: 
Principal applicant name: 
Stefan johansson | Department of clinical science, university of Bergen, Bergen, Norway (Norway)
Øyvind Helgeland, Pål R Njølstad, Marc Vaudel
Title of project: 
Genetic influences on infant and childhood growth
Proposal summary: 

The obesity epidemic is one of the most important health challenges of the 21st century.
Identifying genetic factors predisposing to weight gain is crucial for identifying biological processes important for weight-control and help identify individuals already at young age that might benefit from health interventions and thereby reducing their risk for disorders such as type 2 diabetes that follow in its footpath.

While there is great progress deciphering the genetic factors influencing weight in in adulthood, and at birth, there is a huge knowledge gap on the role of the genomes of the child and its parents in infancy and childhood into puberty. This is very unfortunate, as it is firmly established that the BMI-development during the first 6 years of life are strong predictors of obesity in adolescence . Results from our own ongoing work in the Norwegian Mother, Father and Child and work of others show that it is possible to find novel genetic variants with specific and substantial effect on weight development during infancy with high quality data and large GWAS sample sizes.

Impact of research: 
We believe our data will provide much better understanding of the genetic and molecular insight toward healthy and unhealthy weight trajectories.
Date proposal received: 
Saturday, 22 August, 2020
Date proposal approved: 
Wednesday, 2 September, 2020
Genetic epidemiology (including association studies and mendelian randomisation), Diabetes, Obesity, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Computer simulations/modelling/algorithms, DNA sequencing, GWAS, Statistical methods, Endocrine - endocrine disrupters, Fathers, Offspring, Whole genome sequencing, Genetic epidemiology, Genetics, Genomics, Genome wide association study, Growth, Hormones - cortisol, IGF, thyroid, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Nutrition - breast feeding, diet