Objectives of EurHEALTHAgeing
- To identify genetic factors influencing birthweight (measures of size/shape: birthweight and length relative to gestational age, ponderal index) and other early postnatal determinants of healthy ageing (e.g. growth patterns/velocity) by carrying out a genomewide association scan (GWAS) on these traits.
- To identify- using NextGen Sequencing (NGS)- rarer variants i.e. single base pair changes, insertions, deletions and breakpoints of rarer copy number variations (CNVs), and assess their potential to influence transcripts’ and proteins’ functional capabilities and their influence on birthweight and growth measures and ageing phenotypes
- To identify DNA methylation, post-translational modifications and metabolite profiles that correlate with prenatal/early post natal determinants of health-span (e.g. birthweight, weight and weight-gain of mother, smoking and alcohol drinking of mother, maternal pregnancy related diseases and complications).
- To discover novel biomarkers of ageing using a multi-disciplinary approach incorporating pathway analysis, biochemistry, genetics, metabolomics, epidemiology, DNA methylation and bioinformatics.
- To identify, using pathway analysis, the molecular pathways involved early life event variables that result in healthy ageing (musculoskeletal, cardiovascular, metabolic) by incorporating early life events, methylation, post-translational modification, metabolomic and genotypic data.
- To identify lifecourse trajectories leading to healthy aging by incorporating early life events, methylation, post-translational modification, metabolomic and genotypic data.
- To generate an extensive database of the correlations between early life events and ageing outcomes linking datapoints to methylation, metabolomic, genetic and post-translational modification (PTM) results, allowing future comparison with data derived from other studies. Results can then be employed in tests for healthy ageing.