B4654 - Height-GaP a quantitative index of human growth conditions deployable at any age - 12/07/2024

B number: 
B4654
Principal applicant name: 
Benjamin M. Smith | McGill University (Canada)
Co-applicants: 
Raphael Goldman-Pham
Title of project: 
Height-GaP: a quantitative index of human growth conditions deployable at any age
Proposal summary: 

Adverse exposures and events during the period of early-life growth are increasingly recognized as important to later-life disease risk. For example, up to 50% of chronic obstructive pulmonary disease (COPD) has been linked to impaired lung growth early in life. A challenge to understanding and exploiting this knowledge is the lack of a simple method to quantify the cumulative impact of adverse early-life growth conditions among adults. This amendment proposes to validate a novel quantitative index of early-life growth conditions that can be deployed across the lifespan.

A recent genome-wide association study of 5.4M adults reported a saturated map of genetic variants associated with height that accounts for over 90% of trait heritability and explains up to 45% of trait variance.5 Since human height is determined in part by genetics and in part by early-life growth conditions, it follows that the difference between measured height and genotype-predicted height (height-GaP) may represent a quantitative and cumulative index of adverse early-life growth conditions. In support of this hypothesis, analysis of UKBiobank data demonstrated that a larger height-GaP deficit was associated with several retrospectively ascertained early-life factors known to adversely affect growth, as well as subsequent all-cause and respiratory mortality.

Retrospective assessment of early-life growth conditions limit the strength of inferences that can made from these UKBiobank observations and motivate this amendment to our current ALSPAC proposal, which is already examining a genotype-based index and lung function.

Impact of research: 
This research aims to establish height-GaP as a simple quantitative measure of growth deprivation. In the short term, this tool will enable researchers to better identify disease that is developmental in origin, allowing for more targeted investigations into different disease etiologies. Moreover, in the long term, height-GaP has the potential to develop into a clinically-relevant tool that could enable the stratification of risk depending the origins and behavior of disease.
Date proposal received: 
Friday, 5 July, 2024
Date proposal approved: 
Friday, 12 July, 2024
Keywords: 
Epidemiology, Pregnancy - e.g. reproductive health, postnatal depression, birth outcomes, etc., Respiratory - asthma, Chronic Obstructive Pulmonary Disease, Statistical methods, Environment - enviromental exposure, pollution, Growth, Statistical methods