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A cost-effective sequencing method for genetic studies combining high-depth whole exome and low-depth whole genome.
Bhérer, Claude; Eveleigh, Robert; Trajanoska, Katerina; St-Cyr, Janick; Paccard, Antoine; Nadukkalam Ravindran, Praveen; Caron, Elizabeth; Bader Asbah, Nimara; McClelland, Peyton; Wei, Clare; Baumgartner, Iris; Schindewolf, Marc; Döring, Yvonne; Perley, Danielle; Lefebvre, François; Lepage, Pierre; Bourgey, Mathieu; Bourque, Guillaume; Ragoussis, Jiannis; Mooser, Vincent; Taliun, Daniel.
Affiliation
  • Bhérer C; Department of Human Genetics, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada.
  • Eveleigh R; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Trajanoska K; Canada Excellence Research Chair in Genomic Medicine, McGill University, Montréal, Québec, Canada.
  • St-Cyr J; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Paccard A; Canadian Centre for Computational Genomics, McGill University, Montréal, Québec, Canada.
  • Nadukkalam Ravindran P; Department of Human Genetics, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada.
  • Caron E; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Bader Asbah N; Canada Excellence Research Chair in Genomic Medicine, McGill University, Montréal, Québec, Canada.
  • McClelland P; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Wei C; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Baumgartner I; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Schindewolf M; Canada Excellence Research Chair in Genomic Medicine, McGill University, Montréal, Québec, Canada.
  • Döring Y; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Perley D; Department of Human Genetics, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada.
  • Lefebvre F; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Lepage P; Department of Human Genetics, Faculty of Medicine and Health Sciences, McGill University, Montréal, Québec, Canada.
  • Bourgey M; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Bourque G; Canada Excellence Research Chair in Genomic Medicine, McGill University, Montréal, Québec, Canada.
  • Ragoussis J; Victor Phillip Dahdaleh Institute of Genomic Medicine at McGill University, Montréal, Québec, Canada.
  • Mooser V; Canada Excellence Research Chair in Genomic Medicine, McGill University, Montréal, Québec, Canada.
  • Taliun D; Division of Angiology, Swiss Cardiovascular Center, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
NPJ Genom Med ; 9(1): 8, 2024 Feb 07.
Article de En | MEDLINE | ID: mdl-38326393
ABSTRACT
Whole genome sequencing (WGS) at high-depth (30X) allows the accurate discovery of variants in the coding and non-coding DNA regions and helps elucidate the genetic underpinnings of human health and diseases. Yet, due to the prohibitive cost of high-depth WGS, most large-scale genetic association studies use genotyping arrays or high-depth whole exome sequencing (WES). Here we propose a cost-effective method which we call "Whole Exome Genome Sequencing" (WEGS), that combines low-depth WGS and high-depth WES with up to 8 samples pooled and sequenced simultaneously (multiplexed). We experimentally assess the performance of WEGS with four different depth of coverage and sample multiplexing configurations. We show that the optimal WEGS configurations are 1.7-2.0 times cheaper than standard WES (no-plexing), 1.8-2.1 times cheaper than high-depth WGS, reach similar recall and precision rates in detecting coding variants as WES, and capture more population-specific variants in the rest of the genome that are difficult to recover when using genotype imputation methods. We apply WEGS to 862 patients with peripheral artery disease and show that it directly assesses more known disease-associated variants than a typical genotyping array and thousands of non-imputable variants per disease-associated locus.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Health_economic_evaluation Langue: En Journal: NPJ Genom Med Année: 2024 Type de document: Article Pays d'affiliation: Canada

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Health_economic_evaluation Langue: En Journal: NPJ Genom Med Année: 2024 Type de document: Article Pays d'affiliation: Canada
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