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Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy.
Wang, Yung-Chun; Wu, Yuchang; Choi, Julie; Allington, Garrett; Zhao, Shujuan; Khanfar, Mariam; Yang, Kuangying; Fu, Po-Ying; Wrubel, Max; Yu, Xiaobing; Mekbib, Kedous Y; Ocken, Jack; Smith, Hannah; Shohfi, John; Kahle, Kristopher T; Lu, Qiongshi; Jin, Sheng Chih.
Afiliação
  • Wang YC; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Wu Y; Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Choi J; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Allington G; Department of Pathology, Yale School of Medicine, New Haven, CT 06510, USA.
  • Zhao S; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Khanfar M; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Yang K; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Fu PY; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Wrubel M; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Yu X; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Mekbib KY; Department of Genetics, School of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Ocken J; Department of Computer Science & Engineering, Washington University, St. Louis, MO 63130, USA.
  • Smith H; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Shohfi J; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Kahle KT; Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Lu Q; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA.
  • Jin SC; Department of Neurosurgery, Yale University School of Medicine, New Haven, CT 06510, USA.
J Pers Med ; 12(2)2022 Jan 27.
Article em En | MEDLINE | ID: mdl-35207663
ABSTRACT
Rapid methodological advances in statistical and computational genomics have enabled researchers to better identify and interpret both rare and common variants responsible for complex human diseases. As we continue to see an expansion of these advances in the field, it is now imperative for researchers to understand the resources and methodologies available for various data types and study designs. In this review, we provide an overview of recent methods for identifying rare and common variants and understanding their roles in disease etiology. Additionally, we discuss the strategy, challenge, and promise of gene therapy. As computational and statistical approaches continue to improve, we will have an opportunity to translate human genetic findings into personalized health care.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article