A high-resolution human pangenome structural variant resource for improved disease association
Jiadong LiniD, Jonas A. GustafsoniD, Julie WertziD, Yang SuiiD, DongAhn YooiD, David PorubskỳiD, Can Luo, Isaac WongiD, Kiran V. GarimellaiD, Quihui Li, Luyao ReniD, Nidhi KoundinyaiD, Nikhita DamarajuiD, Lingbin NiiD, Chenlu DiiD, Elizabeth G. PlenderiD, Kendra HoekzemaiD, Katherine M. MunsoniD, Tianjie LiuiD, Xuefang ZhaoiD, Karan Jaisingh, Maximilian HaeussleriD, Rebecca C. SpillmanniD, Nicole M. Walley, Vandana ShashiiD, , Evan E. EichleriD
Abstract
Long-read sequencing (LRS) and diploid genome assembly have enabled nearly complete structural variant (SV) discovery. Using 293 nearly complete genomes, we characterize the full spectrum of genetic variation and show that while 99% of the variants between any two genomes are single base-pair substitutions, 88% of the euchromatic variant base pairs are SVs, including insertions, deletions, duplications, and inversions. We identify 24 gene-rich regions subject to megabase-scale variation, 2,293 potentially unstable tandem repeats, and 890 novel expression quantitative trait loci associated with SVs in humans. Expanding to 1,218 LRS samples from the 1000 Genomes Project and applying a newly developed cross-platform breakpoint evaluation tool, BoostSV, we construct a nonredundant callset comprising 614,522 SVs. We demonstrate the utility of this population-level SV reference callset by filtering >99% of the common variation from 44 unsolved LRS probands from the Undiagnosed Diseases Network to discover likely disease-causing SVs. Second, we genotype 1,053 high-impact biallelic SVs from the pangenome callset in 232,090 samples from All of Us and discover 105 SVs with significant associations, including 26% where the SV is the lead variant. This publicly available pangenome SV resource will drive new disease associations and further our understanding of the missing heritability of human genetic disease.
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