- Preterm birth
- Gestational age
- Segregation analysis
- Maternal effects
- Genetic model
Objective: While multiple lines of evidence suggest the importance of genetic contributors to risk of preterm birth, the nature of the genetic component has not been identified. We perform segregation analyses to identify the best fitting genetic model for gestational age, a quantitative proxy for preterm birth. Methods: Because either mother or infant can be considered the proband from a preterm delivery and there is evidence to suggest that genetic factors in either one or both may influence the trait, we performed segregation analysis for gestational age either attributed to the infant (infant’s gestational age), or the mother (by averaging the gestational ages at which her children were delivered), using 96 multiplex preterm families. Results: These data lend further support to a genetic component contributing to birth timing since sporadic (i.e. no familial resemblance) and nontransmission (i.e. environmental factors alone contribute to gestational age) models are strongly rejected. Analyses of gestational age attributed to the infant support a model in which mother’s genome and/or maternally-inherited genes acting in the fetus are largely responsible for birth timing, with a smaller contribution from the paternally-inherited alleles in the fetal genome. Conclusion: Our findings suggest that genetic influences on birth timing are important and likely complex.
Copyright © 2009 S. Karger AG, Basel
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Louis J. Muglia, MD, PhD
Vanderbilt University Medical Center
2215 Garland Avenue
Nashville, TN 37232-0007 (USA)
Tel. +1 615 322 5893, Fax +1 615 936 6852, E-Mail Louis.Muglia@Vanderbilt.Edu
Received: December 9, 2008
Accepted after revision: February 26, 2009
Published online: June 11, 2009
Number of Print Pages : 11
Number of Figures : 1, Number of Tables : 5, Number of References : 44
Human Heredity (International Journal of Human and Medical Genetics)
Vol. 68, No. 3, Year 2009 (Cover Date: July 2009)
Journal Editor: Devoto M. (Philadelphia, Pa.)
ISSN: 0001-5652 (Print), eISSN: 1423-0062 (Online)
For additional information: http://www.karger.com/HHE
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