학술논문
Haplotyping germline and cancer genomes with high-throughput linked-read sequencing.
Document Type
article
Author
Zheng, Grace XY; Lau, Billy T; Schnall-Levin, Michael; Jarosz, Mirna; Bell, John M; Hindson, Christopher M; Kyriazopoulou-Panagiotopoulou, Sofia; Masquelier, Donald A; Merrill, Landon; Terry, Jessica M; Mudivarti, Patrice A; Wyatt, Paul W; Bharadwaj, Rajiv; Makarewicz, Anthony J; Li, Yuan; Belgrader, Phillip; Price, Andrew D; Lowe, Adam J; Marks, Patrick; Vurens, Gerard M; Hardenbol, Paul; Montesclaros, Luz; Luo, Melissa; Greenfield, Lawrence; Wong, Alexander; Birch, David E; Short, Steven W; Bjornson, Keith P; Patel, Pranav; Hopmans, Erik S; Wood, Christina; Kaur, Sukhvinder; Lockwood, Glenn K; Stafford, David; Delaney, Joshua P; Wu, Indira; Ordonez, Heather S; Grimes, Susan M; Greer, Stephanie; Lee, Josephine Y; Belhocine, Kamila; Giorda, Kristina M; Heaton, William H; McDermott, Geoffrey P; Bent, Zachary W; Meschi, Francesca; Kondov, Nikola O; Wilson, Ryan; Bernate, Jorge A; Gauby, Shawn; Kindwall, Alex; Bermejo, Clara; Fehr, Adrian N; Chan, Adrian; Saxonov, Serge; Ness, Kevin D; Hindson, Benjamin J; Ji, Hanlee P
Source
Nature biotechnology. 34(3)
Subject
Language
Abstract
Haplotyping of human chromosomes is a prerequisite for cataloguing the full repertoire of genetic variation. We present a microfluidics-based, linked-read sequencing technology that can phase and haplotype germline and cancer genomes using nanograms of input DNA. This high-throughput platform prepares barcoded libraries for short-read sequencing and computationally reconstructs long-range haplotype and structural variant information. We generate haplotype blocks in a nuclear trio that are concordant with expected inheritance patterns and phase a set of structural variants. We also resolve the structure of the EML4-ALK gene fusion in the NCI-H2228 cancer cell line using phased exome sequencing. Finally, we assign genetic aberrations to specific megabase-scale haplotypes generated from whole-genome sequencing of a primary colorectal adenocarcinoma. This approach resolves haplotype information using up to 100 times less genomic DNA than some methods and enables the accurate detection of structural variants.