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A draft human pangenome reference.
Liao, Wen-Wei; Asri, Mobin; Ebler, Jana; Doerr, Daniel; Haukness, Marina; Hickey, Glenn; Lu, Shuangjia; Lucas, Julian K; Monlong, Jean; Abel, Haley J; Buonaiuto, Silvia; Chang, Xian H; Cheng, Haoyu; Chu, Justin; Colonna, Vincenza; Eizenga, Jordan M; Feng, Xiaowen; Fischer, Christian; Fulton, Robert S; Garg, Shilpa; Groza, Cristian; Guarracino, Andrea; Harvey, William T; Heumos, Simon; Howe, Kerstin; Jain, Miten; Lu, Tsung-Yu; Markello, Charles; Martin, Fergal J; Mitchell, Matthew W; Munson, Katherine M; Mwaniki, Moses Njagi; Novak, Adam M; Olsen, Hugh E; Pesout, Trevor; Porubsky, David; Prins, Pjotr; Sibbesen, Jonas A; Sirén, Jouni; Tomlinson, Chad; Villani, Flavia; Vollger, Mitchell R; Antonacci-Fulton, Lucinda L; Baid, Gunjan; Baker, Carl A; Belyaeva, Anastasiya; Billis, Konstantinos; Carroll, Andrew; Chang, Pi-Chuan; Cody, Sarah.
Afiliación
  • Liao WW; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
  • Asri M; Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA.
  • Ebler J; Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA.
  • Doerr D; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Haukness M; Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
  • Hickey G; Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany.
  • Lu S; Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
  • Lucas JK; Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany.
  • Monlong J; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Abel HJ; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Buonaiuto S; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
  • Chang XH; Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA.
  • Cheng H; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Chu J; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Colonna V; Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
  • Eizenga JM; Institute of Genetics and Biophysics, National Research Council, Naples, Italy.
  • Feng X; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Fischer C; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Fulton RS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Garg S; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Groza C; Institute of Genetics and Biophysics, National Research Council, Naples, Italy.
  • Guarracino A; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
  • Harvey WT; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Heumos S; Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Howe K; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
  • Jain M; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
  • Lu TY; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
  • Markello C; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Martin FJ; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Copenhagen, Denmark.
  • Mitchell MW; Quantitative Life Sciences, McGill University, Montréal, Québec, Canada.
  • Munson KM; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
  • Mwaniki MN; Genomics Research Centre, Human Technopole, Milan, Italy.
  • Novak AM; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
  • Olsen HE; Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany.
  • Pesout T; Biomedical Data Science, Department of Computer Science, University of Tübingen, Tübingen, Germany.
  • Porubsky D; Tree of Life, Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Prins P; Northeastern University, Boston, MA, USA.
  • Sibbesen JA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA.
  • Sirén J; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Tomlinson C; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
  • Villani F; Coriell Institute for Medical Research, Camden, NJ, USA.
  • Vollger MR; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
  • Antonacci-Fulton LL; Department of Computer Science, University of Pisa, Pisa, Italy.
  • Baid G; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Baker CA; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Belyaeva A; Genomics Institute, University of California, Santa Cruz, CA, USA.
  • Billis K; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
  • Carroll A; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
  • Chang PC; Center for Health Data Science, University of Copenhagen, Copenhagen, Denmark.
  • Cody S; Genomics Institute, University of California, Santa Cruz, CA, USA.
Nature ; 617(7960): 312-324, 2023 05.
Article en En | MEDLINE | ID: mdl-37165242
ABSTRACT
Here the Human Pangenome Reference Consortium presents a first draft of the human pangenome reference. The pangenome contains 47 phased, diploid assemblies from a cohort of genetically diverse individuals1. These assemblies cover more than 99% of the expected sequence in each genome and are more than 99% accurate at the structural and base pair levels. Based on alignments of the assemblies, we generate a draft pangenome that captures known variants and haplotypes and reveals new alleles at structurally complex loci. We also add 119 million base pairs of euchromatic polymorphic sequences and 1,115 gene duplications relative to the existing reference GRCh38. Roughly 90 million of the additional base pairs are derived from structural variation. Using our draft pangenome to analyse short-read data reduced small variant discovery errors by 34% and increased the number of structural variants detected per haplotype by 104% compared with GRCh38-based workflows, which enabled the typing of the vast majority of structural variant alleles per sample.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Genómica Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma Humano / Genómica Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos