Genes, Environments, and the Development of Intelligence in Children of Mothers With Phenylketonuria

This study modeled relations among maternal background variables, pregnancy-related variables, and physical indicators at birth with later offspring cognitive outcomes during infancy and childhood in a sample of children of mothers with phenylketonuria (PKU). Participants were the 413 children and their mothers from the International Maternal PKU Collaborative Study. We used structural equation modeling to estimate effects of background variables and sets of mediator variables on offspring mental ability measures at 1, 2, 4 and 7 years of offspring age. Mothers had a mean IQ of 85.9, about one SD below the population mean, and average education of completion of high school. Maternal background variables had hypothesized correlations with pregnancy-related variables, but only severity of the mother’s PKU genetic defect had a large effect (β = 0.50) on the key pregnancy variable, average phenylalanine (PHE) in mother’s blood during pregnancy. In turn, average PHE in mother’s blood during pregnancy had large direct effects on birth size (length and weight) (β = ‒0.37), birth head circumference (β = ‒0.54), and child IQ at 1 year (β = ‒0.51), and substantial lagged effects on child IQ at 2 and 4 years of age (βs = ‒0.32 and ‒0.38, respectively). Average PHE in mother’s blood during pregnancy largely mediated effects of maternal background variables on infant and childhood cognitive outcomes. The results have implications for our understanding of early development of intelligence and for the interplay of genetic and environmental factors that influence development.

Authors

Institutions

Publication Details

Journal
Intelligence & Cognitive Abilities
Published
2025-06-23
DOI
https://doi.org/10.65550/001c.138730
Primary Topic
Metabolism and Genetic Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genes, Environments, and the Development of Intelligence in Children of Mothers With Phenylketonuria

Keith F. Widaman, Jonathan L. Helm
Intelligence & Cognitive Abilities
Metabolism and Genetic Disorders
article

Genes, Environments, and the Development of Intelligence in Children of Mothers With Phenylketonuria

Keith F. Widaman, Jonathan L. Helm
article en

Abstract

This study modeled relations among maternal background variables, pregnancy-related variables, and physical indicators at birth with later offspring cognitive outcomes during infancy and childhood in a sample of children of mothers with phenylketonuria (PKU). Participants were the 413 children and their mothers from the International Maternal PKU Collaborative Study. We used structural equation modeling to estimate effects of background variables and sets of mediator variables on offspring mental ability measures at 1, 2, 4 and 7 years of offspring age. Mothers had a mean IQ of 85.9, about one SD below the population mean, and average education of completion of high school. Maternal background variables had hypothesized correlations with pregnancy-related variables, but only severity of the mother’s PKU genetic defect had a large effect (β = 0.50) on the key pregnancy variable, average phenylalanine (PHE) in mother’s blood during pregnancy. In turn, average PHE in mother’s blood during pregnancy had large direct effects on birth size (length and weight) (β = ‒0.37), birth head circumference (β = ‒0.54), and child IQ at 1 year (β = ‒0.51), and substantial lagged effects on child IQ at 2 and 4 years of age (βs = ‒0.32 and ‒0.38, respectively). Average PHE in mother’s blood during pregnancy largely mediated effects of maternal background variables on infant and childhood cognitive outcomes. The results have implications for our understanding of early development of intelligence and for the interplay of genetic and environmental factors that influence development.

Intelligence & Cognitive AbilitiesVol. 1(1)
University of California, Riverside (US), San Diego State University (US)
Openalex Percentile: Top 59%
Metabolism and Genetic Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.