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Allele-specific expression: applications in cancer and technical considerations.
Robles-Espinoza, Carla Daniela; Mohammadi, Pejman; Bonilla, Ximena; Gutierrez-Arcelus, Maria.
Affiliation
  • Robles-Espinoza CD; Laboratorio Internacional de Investigación sobre el Genoma Humano, Universidad Nacional Autónoma de México, Campus Juriquilla, Boulevard Juriquilla 3001, Santiago de Querétaro 76230, Mexico; Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK.
  • Mohammadi P; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA; Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA.
  • Bonilla X; Department of Computer Science, ETH Zurich, Universitätsstr. 6, 8092 Zürich, Switzerland; Swiss Institute of Bioinformatics, Quartier Sorge - Bâtiment Amphipôle, Lausanne 1015, Switzerland; University Hospital Zurich, Rämistrasse 100, 8091 Zürich, Switzerland.
  • Gutierrez-Arcelus M; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Rheumatology, Inflammation and Immunity, Department of Medicin
Curr Opin Genet Dev ; 66: 10-19, 2021 02.
Article in En | MEDLINE | ID: mdl-33383480
ABSTRACT
Allele-specific gene expression can influence disease traits. Non-coding germline genetic variants that alter regulatory elements can cause allele-specific gene expression and contribute to cancer susceptibility. In tumors, both somatic copy number alterations and somatic single nucleotide variants have been shown to lead to allele-specific expression of genes, many of which are considered drivers of tumor growth. Here, we review recent studies revealing the pervasive presence of this phenomenon in cancer susceptibility and progression. Furthermore, we underscore the importance of careful experimental design and computational analysis for accurate allelic expression quantification and avoidance of false positives. Finally, we discuss additional methodological challenges encountered in cancer studies and in the burgeoning field of single-cell transcriptomics.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Regulatory Sequences, Nucleic Acid / Germ-Line Mutation / Genetic Predisposition to Disease / Neoplasms Limits: Humans Language: En Journal: Curr Opin Genet Dev Journal subject: GENETICA Year: 2021 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Regulatory Sequences, Nucleic Acid / Germ-Line Mutation / Genetic Predisposition to Disease / Neoplasms Limits: Humans Language: En Journal: Curr Opin Genet Dev Journal subject: GENETICA Year: 2021 Document type: Article Affiliation country: Reino Unido