Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gene-Environment Interactions01:20

Gene-Environment Interactions

Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
Nature and Nurture01:10

Nature and Nurture

Many human characteristics, like height, are shaped by both nature—in other words, by our genes—and by nurture, or our environment. For example, chronic stress during childhood inhibits the production of growth hormones and consequently reduces bone growth and height. Scientists estimate that 70-90% of variation in height is due to genetic differences among individuals, and 10-30% of variation in height is due to differences in the environments that individuals experience, such as differences...
Causes of Social Behavior III: Biological and Environmental Influences01:28

Causes of Social Behavior III: Biological and Environmental Influences

Social behavior is a complex phenomenon that arises from the interaction between biological predispositions and environmental influences. This intricate interplay shapes how individuals think, feel, and act in various social contexts. Understanding these mechanisms requires insights from psychology, neuroscience, genetics, and evolutionary theory.Environmental Influences on Social BehaviorEnvironmental factors, including temperature, odors, and visual stimuli, play a crucial role in shaping...
Exponential Equations for Modeling Growth01:26

Exponential Equations for Modeling Growth

Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is the relative...
Microenvironments01:22

Microenvironments

Microorganisms inhabit highly localized spaces known as microenvironments, which are defined by distinct physical and chemical characteristics. These include oxygen concentration, pH, temperature, light availability, and nutrient levels. The conditions within a microenvironment can differ markedly from those in the surrounding area and significantly influence microbial growth, metabolism, and community structure.Microenvironments often display sharp physicochemical gradients over small spatial...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Combined prenatal exposure to airborne polycyclic aromatic hydrocarbons and maternal distress is associated with childhood irritability.

Frontiers in public health·2026
Same author

Gestational Exposure to 10 Classes of Priority Chemicals and Birth Outcomes in the ECHO Cohort.

JAMA network open·2026
Same author

Gestational weight gain, cardiometabolic health, and long-term weight retention at 17 years post delivery.

Obesity (Silver Spring, Md.)·2025
Same author

Rhinorrhea and watery eyes in infancy and risk of attention-deficit hyperactivity disorder in school-age children.

Developmental psychobiology·2024
Same author

Combined and sequential exposure to prenatal second hand smoke and postnatal maternal distress is associated with cingulo-opercular global efficiency and attention problems in school-age children.

Neurotoxicology and teratology·2024
Same author

Trajectory analysis of rhinitis in a birth cohort from lower-income New York City neighborhoods.

The Journal of allergy and clinical immunology·2023
Same journal

Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.

Genetic epidemiology·2026
Same journal

Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.

Genetic epidemiology·2026
Same journal

DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.

Genetic epidemiology·2026
Same journal

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Genetic epidemiology·2026
Same journal

Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.

Genetic epidemiology·2026
Same journal

Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.

Genetic epidemiology·2026
See all related articles

Related Experiment Video

Updated: May 25, 2026

Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid
09:09

Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid

Published on: August 8, 2017

Gene-environment interactions on growth trajectories.

Shuang Wang1, Wei Xiong, Weiping Ma

  • 1Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA. sw2206@columbia.edu

Genetic Epidemiology
|February 8, 2012
PubMed
Summary
This summary is machine-generated.

New methods quantify gene-environment interactions impacting children's head growth trajectories. This research identifies significant interactions affecting head circumference, crucial for cognitive development.

More Related Videos

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

The Use of the Puzzle Box as a Means of Assessing the Efficacy of Environmental Enrichment
06:50

The Use of the Puzzle Box as a Means of Assessing the Efficacy of Environmental Enrichment

Published on: December 29, 2014

Related Experiment Videos

Last Updated: May 25, 2026

Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid
09:09

Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid

Published on: August 8, 2017

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

The Use of the Puzzle Box as a Means of Assessing the Efficacy of Environmental Enrichment
06:50

The Use of the Puzzle Box as a Means of Assessing the Efficacy of Environmental Enrichment

Published on: December 29, 2014

Area of Science:

  • Environmental Health
  • Pediatrics
  • Genetics
  • Biostatistics

Background:

  • Childhood intelligence is linked to head size, with prenatal and infant head growth being critical periods.
  • Environmental exposures like air pollution during pregnancy can impede fetal growth and cognitive development.
  • Genetic factors may influence how environmental exposures affect head growth, but interactions are poorly understood.

Purpose of the Study:

  • To develop novel statistical methods for quantitatively measuring gene-environment and gene-gene interactions on growth trajectories.
  • To assess the significance of these interactions on head growth trajectories using robust statistical procedures.

Main Methods:

  • Proposed a novel score to quantitatively measure interactions on growth trajectories.
  • Developed an algorithm utilizing a parametric bootstrap procedure within a likelihood framework.
  • Derived a Wald statistic for interaction testing and compared it with the bootstrap procedure.
  • Conducted extensive simulation studies to validate the proposed methods.

Main Results:

  • Simulation studies confirmed the feasibility and statistical power of the developed testing procedures.
  • Applied the method to a real-world dataset of head circumference from birth to age 7.
  • Identified several significant gene-environment interactions influencing head circumference growth trajectories in the cohort.

Conclusions:

  • The proposed statistical framework effectively quantifies and tests gene-environment interactions on growth trajectories.
  • This methodology provides a powerful tool for understanding complex gene-environment relationships in child development.
  • Significant gene-environment interactions were identified, highlighting their role in head circumference development.