Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Genetic diversity fuels gene discovery for tobacco and alcohol use

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • بيانات النشر:
      Springer Nature
    • الموضوع:
      2022
    • Collection:
      Oxford University Research Archive (ORA)
    • نبذة مختصرة :
      Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.
    • Relation:
      https://ora.ox.ac.uk/objects/uuid:2758f24b-a487-49f8-b776-8c32fa09aa5e; https://doi.org/10.1038/s41586-022-05477-4
    • الرقم المعرف:
      10.1038/s41586-022-05477-4
    • الدخول الالكتروني :
      https://doi.org/10.1038/s41586-022-05477-4
      https://ora.ox.ac.uk/objects/uuid:2758f24b-a487-49f8-b776-8c32fa09aa5e
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.89DD0C86