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Evaluation of imputation performance of multiple reference panels in a Pakistani population.
Xu, Jiayi; Liu, Dongjing; Hassan, Arsalan; Genovese, Giulio; Cote, Alanna C; Fennessy, Brian; Cheng, Esther; Charney, Alexander W; Knowles, James A; Ayub, Muhammad; Peterson, Roseann E; Bigdeli, Tim B; Huckins, Laura M.
Afiliação
  • Xu J; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
  • Liu D; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Hassan A; University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
  • Genovese G; Institute of Omics and Health Research, Lahore, Pakistan.
  • Cote AC; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Fennessy B; Stanley Center, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Cheng E; Department of Genetics, Harvard Medical School, Boston, MA, USA.
  • Charney AW; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Knowles JA; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Ayub M; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Peterson RE; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Bigdeli TB; The Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA.
  • Huckins LM; University College London, London, UK.
medRxiv ; 2023 Dec 26.
Article em En | MEDLINE | ID: mdl-38234809
ABSTRACT
Genotype imputation is crucial for GWAS, but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ancestry composition or sample size of the panel matters more for imputation accuracy. Our study compared different reference panels to impute genotype data in 1814 Pakistani individuals, finding the best performance balancing accuracy and coverage with meta-imputation with TOPMed and the expanded 1000 Genomes (ex1KG) reference. Imputation accuracy of ex1KG outperformed TOPMed despite its 30-fold smaller sample size, supporting efforts to create future panels with diverse populations.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article