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Multi-platform discovery of haplotype-resolved structural variation in human genomes
Preprint   Peer reviewed

Multi-platform discovery of haplotype-resolved structural variation in human genomes

Mark J P Chaisson, Ashley D Sanders, Xuefang Zhao, Ankit Malhotra, David Porubsky, Tobias Rausch, Eugene J Gardner, Oscar L Rodriguez, Li Guo, Ryan L Collins, …
BiorXiv.org
13 Jun 2018
PMID: 30992455
url
https://doi.org/10.1101/193144View
Preprint (Author's original)CC BY-ND V4.0 Restricted

Abstract

Chromosome Mapping - methods Databases, Genetic Genome, Human - genetics Genomic Structural Variation Genomics - methods Haplotypes - genetics High-Throughput Nucleotide Sequencing - methods Humans INDEL Mutation Whole Genome Sequencing - methods ESI Highly Cited Paper (Incites) Algorithms
The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.

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Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Web of Science research areas
Genetics & Heredity
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