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      Parent-of-origin detection and chromosome-scale haplotyping using long-read DNA methylation sequencing and Strand-seq

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          Summary

          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.

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          Highlights

          • Genomic imprinting can help infer the parent of origin of homologs

          • Imprinted DNA methylation must be combined with chromosome-length haplotypes

          • The method was validated for five trios with diverse genetic backgrounds

          • In future, parent-of-origin phasing will improve cascade genetic testing

          Abstract

          Akbari et al. present a method for identifying homologous chromosomes inherited from the mother or the father without using data from the parents. The method relies on phased DNA methylation at maternally and paternally imprinted loci, as well as chromosome-length phasing of DNA sequence. Testing on five trios showed that the method can correctly infer the parent of origin of all autosomes with a mismatch error rate of 0.31% for SNVs.

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          Most cited references67

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

              The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants. 1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next generation sequencing. By adopting and leveraging next generation sequencing, clinical laboratories are now performing an ever increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes and epigenetic assays for genetic disorders. By virtue of increased complexity, this paradigm shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context, the ACMG convened a workgroup in 2013 comprised of representatives from the ACMG, the Association for Molecular Pathology (AMP) and the College of American Pathologists (CAP) to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP and CAP stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories including genotyping, single genes, panels, exomes and genomes. This report recommends the use of specific standard terminology: ‘pathogenic’, ‘likely pathogenic’, ‘uncertain significance’, ‘likely benign’, and ‘benign’ to describe variants identified in Mendelian disorders. Moreover, this recommendation describes a process for classification of variants into these five categories based on criteria using typical types of variant evidence (e.g. population data, computational data, functional data, segregation data, etc.). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a CLIA-approved laboratory with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or equivalent.
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                Author and article information

                Contributors
                Journal
                Cell Genom
                Cell Genom
                Cell Genomics
                Elsevier
                2666-979X
                21 December 2022
                11 January 2023
                21 December 2022
                : 3
                : 1
                : 100233
                Affiliations
                [1 ]Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
                [2 ]Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
                [3 ]Terry Fox Laboratory, BC Cancer, Vancouver, BC, Canada
                [4 ]Department of Molecular Oncology, BC Cancer, Vancouver, BC, Canada
                Author notes
                []Corresponding author plansdor@ 123456bccrc.ca
                [∗∗ ]Corresponding author sjones@ 123456bcgsc.ca
                [5]

                These authors contributed equally

                [6]

                Lead contact

                Article
                S2666-979X(22)00191-4 100233
                10.1016/j.xgen.2022.100233
                9903809
                36777186
                bbbe247d-613a-4f2f-8c27-bc5cdd367b12
                © 2022 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 20 May 2022
                : 8 September 2022
                : 29 November 2022
                Categories
                Short Article

                parent of origin,phasing,haplotype,dna methylation,epigenetics,imprinting,dmr,strand-seq,nanopore

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