Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes - Archive ouverte HAL
Article Dans Une Revue Proceedings of the National Academy of Sciences of the United States of America Année : 2018

Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes

Miaoyan Wang
  • Fonction : Auteur
Fabrice Roux
  • Fonction : Auteur
Carine Huard-Chauveau
  • Fonction : Auteur
Christopher Meyer
  • Fonction : Auteur
Hana Lee
  • Fonction : Auteur
Dominique Roby
  • Fonction : Auteur
Mary Sara Mcpeek
  • Fonction : Auteur
Joy Bergelson

Résumé

Significance Genome-wide association (GWA) mapping is a powerful tool for identification of genetic variants underlying complex traits. However, existing methods typically perform GWA mapping within a single species; methods allowing the description of the genomic landscape of interspecies interactions are only beginning to be developed. Here, we present a method to simultaneously perform GWA mapping on two interacting species. We applied our approach to the Arabidopsis thaliana–Xanthomonas arboricola pathosystem and identified candidate genes conferring host–pathogen specificity. By integrating the whole-genome sequence data available for pairs of interacting species, we can decipher the genetic architecture of complex traits in finer detail than has previously been possible.

Dates et versions

hal-04204489 , version 1 (12-09-2023)

Identifiants

Citer

Miaoyan Wang, Fabrice Roux, Claudia Bartoli, Carine Huard-Chauveau, Christopher Meyer, et al.. Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115 (24), ⟨10.1073/pnas.1710980115⟩. ⟨hal-04204489⟩
19 Consultations
0 Téléchargements

Altmetric

Partager

More