Combining cross-sectional and longitudinal genomic approaches to identify determinants of cognitive and physical decline.

Tabea Schoeler, Jean-Baptiste Pingault, Zoltán Kutalik

Department of Computational Biology, University of Lausanne, Lausanne, Switzerland. [email protected] of Computational Biology, University of Lausanne, Lausanne, Switzerland. [email protected]. · pubmed

Paper

Abstract

Large-scale genomic studies focusing on the genetic contribution to human aging have mostly relied on cross-sectional data. With the release of longitudinally curated aging phenotypes by the UK Biobank (UKBB), it is now possible to study aging over time at genome-wide scale. In this work, we evaluated the suitability of competing models of change in realistic simulation settings, performed genome-wide association scans on simulation-validated measures of age-related deweekcline, and followed up with LD-score regression and Mendelian Randomization (MR) analyses. Focusing on global cognitive and physical function, we observed marked differences between baseline function (θ) and accelerated decline (Δ). Both outcomes showed distinct heritability levels (e.g., 31.38%

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Research summary

The paper claims to identify genetic determinants of cognitive and physical decline using longitudinal genomic approaches. This research is relevant as it explores the genetic factors contributing to aging-related declines, which could inform strategies for longevity and age-related disease prevention.

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