B3544 - Investigating the effect of maternal and paternal phenotypes on offspring cardiometabolic risk factors - 22/05/2020

B number: 
B3544
Principal applicant name: 
Tom Bond | University of Queensland (Australia)
Co-applicants: 
Dr Daniel Hwang, Dr Geng Wang, Prof Dave Evans, Dr Nicole Warrington, Prof Debbie Lawlor
Title of project: 
Investigating the effect of maternal and paternal phenotypes on offspring cardiometabolic risk factors
Proposal summary: 

Maternal and paternal characteristics (for example, maternal and paternal obesity, maternal gestational hypertensive disorders and maternal dietary intakes) are linked with the offspring’s risk of obesity and cardiometabolic disease in adulthood (such as coronary heart disease and type two diabetes). One explanation for such correlations is that maternal and paternal phenotypes alter the environment that the sperm, egg cells and fetus develop in, thereby causing the offspring to be more susceptible to cardiometabolic disease in adulthood. However, mothers and fathers also pass on their genes to their children, and provide an environment for their children to grow up in, both of which provide alternative explanations for the aforementioned correlations. Because of this it is currently unclear whether the mother’s and father’s BMI, maternal gestational hypertensive disorders and maternal dietary intakes have causal effects on the offspring’s risk of obesity and cardiometabolic disease.

Impact of research: 
This work will provide evidence as to whether intervention to prevent maternal/paternal obesity, gestational hypertension and poor diet prior to conception are promising means to prevent cardiometabolic disease in the offspring’s generation
Date proposal received: 
Thursday, 21 May, 2020
Date proposal approved: 
Friday, 22 May, 2020
Keywords: 
Epidemiology, Diabetes, Hypertension, Obesity, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Statistical methods, Mendelian randomization, Birth outcomes, Blood pressure, Mendelian randomisation, Mothers - maternal age, menopause, obstetrics, Metabolic - metabolism, Methods - e.g. cross cohort analysis, data mining, mendelian randomisation, etc., Offspring, Statistical methods, BMI, Cardiovascular, Fathers, Genetic epidemiology, Genetics, Genomics, Genome wide association study, Growth