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Parent-of-origin detection and chromosome-scale haplotyping using long-read DNA methylation sequencing and Strand-seq.
Akbari, Vahid; Hanlon, Vincent C T; O'Neill, Kieran; Lefebvre, Louis; Schrader, Kasmintan A; Lansdorp, Peter M; Jones, Steven J M.
Affiliation
  • Akbari V; Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.
  • Hanlon VCT; Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • O'Neill K; Terry Fox Laboratory, BC Cancer, Vancouver, BC, Canada.
  • Lefebvre L; Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.
  • Schrader KA; Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Lansdorp PM; Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Jones SJM; Department of Molecular Oncology, BC Cancer, Vancouver, BC, Canada.
Cell Genom ; 3(1): 100233, 2023 Jan 11.
Article in En | MEDLINE | ID: mdl-36777186
Hundreds of loci in human genomes have alleles that are methylated differentially according to their parent of origin. These imprinted loci generally show little variation across tissues, individuals, and populations. We show that such loci can be used to distinguish the maternal and paternal homologs for all human autosomes without the need for the parental DNA. We integrate methylation-detecting nanopore sequencing with the long-range phase information in Strand-seq data to determine the parent of origin of chromosome-length haplotypes for both DNA sequence and DNA methylation in five trios with diverse genetic backgrounds. The parent of origin was correctly inferred for all autosomes with an average mismatch error rate of 0.31% for SNVs and 1.89% for insertions or deletions (indels). Because our method can determine whether an inherited disease allele originated from the mother or the father, we predict that it will improve the diagnosis and management of many genetic diseases.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Cell Genom Year: 2023 Document type: Article Affiliation country: Canadá Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies Language: En Journal: Cell Genom Year: 2023 Document type: Article Affiliation country: Canadá Country of publication: Estados Unidos