Oral Presentation Society for Molecular Biology and Evolution Conference 2016

Genomic signatures of soft selective sweeps at human complex traits (#70)

Emily Wong 1 , Matthew Robinson 2 , Joseph Powell 3
  1. School of Biological Sciences, University of Queensland, St Lucia, Australia
  2. The Centre for Neurogenetics and Statistical Genomics, Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
  3. Institute for Molecular Bioscience, University of Queensland, St Lucia, QLD, Australia

A central goal in population genomics is to detect targets of adaptive natural selection. Yet, elucidating the functional consequences of those variants under selection and understanding their role in driving phenotypic diversity remains a significant challenge. We leverage the availability of human population genomics data where, through genome-wide association studies, genetic variants have been associated with numerous disease and non-disease traits. We use this information to uncover selective forces underlying phenotypic evolution. We measure the extent of positive selection on standing genetic variants using principle component analysis to identify those segregating across subpopulations at a rate higher than genetic drift. We find evidence for genetic adaption among human populations at SNPs associated with complex diseases.