Skip to main content

Associations Between Imprinted Gene Expression in the Placenta, Human Fetal Growth and Preeclampsia

Resource type
Date created
2017-11-29
Authors/Contributors
Abstract
Genomic imprinting is essential for normal placental and fetal growth. One theory to explain the evolution of imprinting is the kinship theory (KT), which predicts that genes that are paternally expressed will promote fetal growth, whereas maternally expressed genes will suppress growth. We investigated the expression of imprinted genes using microarray measurements of expression in term placentae. Correlations between birthweight and the expression levels of imprinted genes were more significant than for non-imprinted genes, but did not tend to be positive for paternally expressed genes and negative for maternally expressed genes. Imprinted genes were more dysregulated in preeclampsia (a disorder associated with placental insufficiency) than randomly selected genes, and we observed an excess of patterns of dysregulation in preeclampsia that would be expected to reduce nutrient allocation to the fetus, given the predictions of the KT. However, we found no evidence of coordinated regulation among these imprinted genes. A few imprinted genes have previously been shown to be associated with fetal growth and preeclampsia, and our results indicate that this is true for a broader set of imprinted genes.
Document
Published as
Christians JK, Leavey K, Cox BJ. 2017. Associations between imprinted gene expression in the placenta, human fetal growth and preeclampsia. Biology Letters. 13: 20170643. http://dx.doi.org/10.1098/rsbl.2017.0643
Publication title
Biology Letters
Document title
Associations Between Imprinted Gene Expression in the Placenta, Human Fetal Growth and Preeclampsia
Publisher DOI
10.1098/rsbl.2017.0643
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
Member of collection
Download file Size
Christians-et-al-2017-accepted.pdf 310.5 KB

Views & downloads - as of June 2023

Views: 0
Downloads: 0