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Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering
Lisa Uechi1, Mahjoubeh Jalali1, Jayson D Wilbur2
1Pacific Northwest Research Institute, Seattle, Washington, United States of America.
Insights
Researchers identified genetic variant dependencies influencing fetal growth and neurological development in infants. These findings highlight potential gene candidates and offer new avenues for exploring early human development.
Area of Science:
- Genetics
- Developmental Biology
- Pediatrics
Background:
- The genetic underpinnings of childhood development are complex and not fully understood.
- The Growing Up in Singapore Towards Healthy Outcomes (GUSTO) program studied healthy infants to investigate these mechanisms.
Purpose of the Study:
- To identify and quantify dependencies between genetic variants and phenotypes related to fetal growth and neurological development.
- To uncover potential gene candidates influencing early human development.
Main Methods:
- Utilized information theory-based methods to analyze dependencies among genetic variants and observed phenotypes.
- Conducted a literature survey of gene expression, regulation, and function for candidate genes.
Main Results:
- Identified dependencies between genetic variants and phenotypes, including pleiotropic effects impacting multiple developmental aspects.
- Highlighted several brain-expressed gene candidates (e.g., RAB11FIP4, MTMR7, PLD5) and placenta-expressed genes (e.g., DNMT1).
- Implicated genes like PPP1R12B and DMD in growth and development.
Conclusions:
- The study provides a framework for understanding genetic influences on early development and identifies specific gene candidates for further research.
- The findings suggest connections between genetic variants and a spectrum of developmental phenotypes, offering new insights into biological mechanisms.
Abstract:
The genetic mechanisms of childhood development in its many facets remain largely undeciphered. In the population of healthy infants studied in the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) program, we have identified a range of dependencies among the observed phenotypes of fetal and early childhood growth, neurological development, and a number of genetic variants. We have quantified these dependencies using our information theory-based methods. The genetic variants show dependencies with single phenotypes as well as pleiotropic effects on more than one phenotype and thereby point to a large number of brain-specific and brain-expressed gene candidates. These dependencies provide a basis for connecting a range of variants with a spectrum of phenotypes (pleiotropy) as well as with each other. A broad survey of known regulatory expression characteristics, and other function-related information from the literature for these sets of candidate genes allowed us to assemble an integrated body of evidence, including a partial regulatory network, that points towards the biological basis of these general dependencies. Notable among the implicated loci are RAB11FIP4 (next to NF1), MTMR7 and PLD5, all highly expressed in the brain; DNMT1 (DNA methyl transferase), highly expressed in the placenta; and PPP1R12B and DMD (dystrophin), known to be important growth and development genes. While we cannot specify and decipher the mechanisms responsible for the phenotypes in this study, a number of connections for further investigation of fetal and early childhood growth and neurological development are indicated. These results and this approach open the door to new explorations of early human development.
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