Appetite Genes Control How Children Grow

Summary: Genes linked to obesity, energy metabolism, and appetite are also responsible for growth regulation in children, a new study reports.

Source: University of Bergen

Have you ever wondered why it is so different how quickly and how much small babies put on weight during the first years of life?

Now researchers at the University of Bergen in Norway have found that this is largely controlled by our genes. The findings provide insight into the mechanisms that control appetite and energy metabolism early in life and can help us find better treatment for obesity in adolescence and adulthood.

After birth, we grow fast. The length increases by about 50% and the weight doubles during infancy. Then the growth slows down and goes into a stable phase in childhood until a growth spurt in puberty. But what drives this dynamic growth?

Researchers at the Center for Diabetes Research, University of Bergen, Norway have now found the explanation.

They studied the genes of 30,000 children and their parents from the Norwegian Mother, Father and Child Cohort of Norway. Many millions of genetic variants from each individual was examined and linked to growth data from a series of measurements of height and weight from birth to eight years of age.

The findings have attracted a great deal of attention.

This shows a little girl eating a watermelon slice
After birth, we grow fast. The length increases by about 50% and the weight doubles during infancy. Then the growth slows down and goes into a stable phase in childhood until a growth spurt in puberty. Image is in the public domain

“It turned out that genes linked to extreme obesity, appetite and the body’s energy consumption are responsible for the growth regulation”, professor Pål R. Njølstad says.

“This is dynamic in that specific genes have an effect only on some of the different phases of growth. We believe that this is probably one of the reasons why parents have always noted that some children are born with a naturally higher appetite than others and have significantly more fat mass in infancy. It seems that these dynamic effects are especially important in the first years of life, and that they do not increase the risk of later obesity”, Njølstad says.

Some of the genes are linked to drugs that are being tested to slow weight gain in extreme obesity. The findings may thus be important for the treatment of normal obesity.

The results are now published in the journal Nature Metabolism.

Funding: The project is based on grants from the European Research Council ERC and the Norwegian Research Council, with support from the tNovo Nordisk Foundation, the Kristian Gerhardt Jebsen Foundation, the Trond Mohn Foundation, the University of Bergen and the Western Norway Regional Health Authority.

About this genetics and neurodevelopment research news

Author: Åshild Nylund
Source: University of Bergen
Contact: Åshild Nylund – University of Bergen
Image: The image is in the public domain

Original Research: Closed access.
Characterization of the genetic architecture of infant and early childhood body mass index” by Pål R. Njølstad et al. Nature Metabolism


Abstract

Characterization of the genetic architecture of infant and early childhood body mass index

Early childhood obesity is a growing global concern; however, the role of common genetic variation on infant and child weight development is unclear.

Here, we identify 46 loci associated with early childhood body mass index at specific ages, matching different child growth phases, and representing four major trajectory patterns.

We perform genome-wide association studies across 12 time points from birth to 8 years in 28,681 children and their parents (27,088 mothers and 26,239 fathers) in the Norwegian Mother, Father and Child Cohort Study.

Monogenic obesity genes are overrepresented near identified loci, and several complex association signals near LEPRGLP1RPCSK1 and KLF14 point towards a major influence for common variation affecting the leptin–melanocortin system in early life, providing a link to putative treatment strategies.

We also demonstrate how different polygenic risk scores transition from birth to adult profiles through early child growth. In conclusion, our results offer a fine-grained characterization of a changing genetic landscape sustaining early childhood growth.

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