Statistical Methods for Next Generation Genome-Wide Association Studies (2023–2026)
Abstract:
This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify
genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated
DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating
genomic data from diverse and underrepresented populations, this project further expects to contribute to the
equitable use of genomic technologies in humans, regardless of geographical origins. Expected outcomes of this
research include novel analysis methods and software tools, which should broadly and significantly benefit gene
discovery in other species, including those of agricultural relevance.