B3156 - GWAS on Abnormal Gestational Length The genetics of pre- and post-term birth - 07/08/2018

B number: 
B3156
Principal applicant name: 
William Schierding | University of Auckland (New Zealand)
Co-applicants: 
Assoc Prof Justin O'Sullivan
Title of project: 
GWAS on Abnormal Gestational Length (The genetics of pre- and post-term birth)
Proposal summary: 

In various cohorts, nearly 20% of the population is born at a gestational age significantly deviant from 37-41 weeks (half of those are born too early and half are born too late). This has been shown to have significant health consequences in these offspring. In a series of studies we have shown that prematurely born children are insulin resistant and that by mid-adult life insulin resistance persists and is accompanied by marked abdominal visceral adiposity, both key components of the metabolic syndrome. In addition, children born post-term have increased obesity and are insulin resistant with higher blood pressures and elevated serum lipids, which are all of the risk factors for the metabolic syndrome. We believe that the continuum of gestation is influenced both by environmental and genetic factors, and thus we are interested in discovering new genetic factors that are linked to birth timing.

Impact of research: 
This study has the potential to identify and find new knowledge about predicting and preventing gestations that are bound to go too short or too long, a major and growing health concern Worldwide. Understanding the genetics of gestation is critical to better identify and alleviate the causes of abnormal gestation length, reducing the need for costly and risky obstetric management. For example, low risk interventions such as membrane sweeping reduce the duration of pregnancy while aspirin intake can increase the length of gestation. Therefore, if intervention was indicated as needed earlier in pregnancy, these low risk strategies could modify gestation length, preventing the need for riskier procedures later in the pregnancy.
Date proposal received: 
Tuesday, 31 July, 2018
Date proposal approved: 
Tuesday, 7 August, 2018
Keywords: 
Bioinformatics, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Computer simulations/modelling/algorithms, DNA sequencing, GWAS, Birth outcomes, Genetic epidemiology, Genome wide association study, Mothers - maternal age, menopause, obstetrics