B4346 - Genomic methods to investigate the timing of childbirth in humans - 01/08/2023

B number: 
B4346
Principal applicant name: 
Bo Jacobsson | Department of Obstetrics and Gynaecology, Sahlgrenska Academy, Institute of Clinical Science, University of Gothenburg
Co-applicants: 
Pol Sole-Navais, PhD, Julius Juodakis, PhD, Karin Ytterberg, Msc, Hedvig Sundelin, MsC, Ylva Folkesson
Title of project: 
Genomic methods to investigate the timing of childbirth in humans
Proposal summary: 

The duration of gestation is critical for neonatal survival, with early deliveries (<37 gestational weeks) being the leading cause of death in children under five years of age. Despite the global burden, relatively little is known about the processes that determine the timing of childbirth. In part, this limited progress is due to the difficulty in extrapolating findings from animal model systems to humans. However, studies of human genetic variation are starting to shed light on the biology of human labor and the timing of childbirth.

Recent work from our group and others has established robust genetic associations with the timing of childbirth. An easy solution for increasing the number of discovered genes is to increase sample size. However, additional gestational duration associated genes may be discovered from more complex models, in relatively small sample sizes. At the same time, the careful inspection of the known genes may aid in the overall understanding of the biology behind the timing of childbirth.

Impact of research: 
We believe our results will improve the biological understanding of the timing of childbirth, and potentially enable the development of therapeutic hypotheses to prevent preterm birth or as labor induction agents.
Date proposal received: 
Thursday, 13 July, 2023
Date proposal approved: 
Tuesday, 1 August, 2023
Keywords: 
Genetic epidemiology (including association studies and mendelian randomisation), Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Statistical methods, Birth outcomes, Genetic epidemiology, Genetics, Genome wide association study, Mothers - maternal age, menopause, obstetrics, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Offspring