Genetic variants in the glucocorticoid pathway genes and birth weight
- PDF / 689,716 Bytes
- 8 Pages / 595.276 x 790.866 pts Page_size
- 64 Downloads / 190 Views
MATERNAL-FETAL MEDICINE
Genetic variants in the glucocorticoid pathway genes and birth weight Michael O. Schneider1 · Theresa Hübner1,2 · Jutta Pretscher1 · Tamme W. Goecke1,3 · Judith Schwitulla4 · Lothar Häberle4 · Johannes Kornhuber5 · Arif B Ekici6 · Matthias W. Beckmann1 · Peter A. Fasching1 · Eva Schwenke1 Received: 20 February 2020 / Accepted: 24 August 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Purpose The aim of this study was to examine associations between single nucleotide polymorphisms (SNPs) that tag genetic variation in the glucocorticoid pathways (particularly in maternal genes FKBP5, NR3C1, and CRHR1) and birth weight. Methods The Franconian Maternal Health Evaluation Study (FRAMES) recruited healthy pregnant women prospectively for the assessment of maternal and fetal health. Germline DNA was collected from 375 pregnant women. Nine SNPs in the above-mentioned genes were genotyped. After reconstruction of haplotypes for each gene, a linear regression model was applied to the data to describe the association between haplotypes and birth weight. Results Female sex in the newborn (compared to male) was associated with lower birth weight, whereas a later week of gestation, higher body mass index pre-pregnancy, and higher parity were associated with higher birth weight. No association with birthweight was shown for the haplotypes of the selected SNPs. Conclusions In this cohort of healthy unselected pregnant women, the analyzed candidate haplotypes in FKBP5, NR3C1, and CRHR1 did not show any association with birth weight. This might be in line with several other studies that have found no influence of fetal polymorphisms in the glucocorticoid receptor gene or triggers of the maternal HPA axis such as stress and psychosocial problems on birth weight. However, the small sample size in this study and the lack of consideration of individual risk factors and levels of stress in this cohort needs to be taken into account when interpreting the results. Keywords FKBP5 · NR3C1 · CRHR1 · Single nucleotide polymorphisms · Birth weight
Introduction
* Michael O. Schneider michael.schneider@uk‑erlangen.de 1
Department of Gynecology and Obstetrics, Erlangen University Perinatal Center, Erlangen University Hospital, Friedrich Alexander University of Erlangen–Nuremberg, Universitätsstrasse 21–23, 91054 Erlangen, Germany
2
Department of Gynecology and Obstetrics, Würzburg University Hospital, Würzburg, Germany
3
Department of Obstetrics, RoMed Clinic Rosenheim, Rosenheim, Germany
4
Biostatistics Unit, Department of Gynecology and Obstetrics, Erlangen University Hospital, Friedrich Alexander University of Erlangen–Nuremberg, Erlangen, Germany
5
Department of Psychiatry, Erlangen University Hospital, Friedrich Alexander University of Erlangen–Nuremberg, Erlangen, Germany
6
Institute of Human Genetics, Friedrich Alexander University of Erlangen–Nuremberg, Erlangen, Germany
Birth weight is influenced by environmental and genetic factors. It is thought that
Data Loading...
