7594507ca126d5242346787e42e13c52ea7709b1
max
Fri Apr 17 08:40:31 2026 -0700
Add lrSv supertrack: long-read structural variants from 9 studies (hg38).
#Preview2 week - bugs introduced now will need a build patch to fix
Sub-tracks (all bigBed 9+):
han945Sv - 945 Han Chinese, ONT (Gong 2025, PMID 39929826)
lrSv1kgOnt - 1019 1000 Genomes, ONT, SVAN-annotated (Schloissnig 2025,
PMID 40702182; lifted from hs1)
tommoJpSv - 333 Japanese (111 trios), ONT (Otsuki 2022, PMID 36127505)
aou1kSv - 1027 All of Us, PacBio HiFi (Garimella 2025, PMID 41256123)
ga4kSv - 502 GA4K pediatric rare disease, PacBio HiFi
(Cohen 2022, PMID 35305867)
decodeSv - 3622 Icelanders, ONT (Beyter 2021, PMID 33972781)
hgsvc3Sv - 65 HGSVC3 diverse haplotype-resolved assemblies, HiFi+ONT
(Logsdon 2025, PMID 40702183; merges insdel+inv tables)
kwanhoSv - 100 post-mortem brains (PD/ILBD/HC), PacBio HiFi
(Kim 2026, PMID 41929179)
chirmade101Sv - 101 long-read WGS GWAS SVatalog cohort
(Chirmade 2026, PMID 41203876)
Includes per-track conversion scripts and autoSql under
scripts/lrSv/, the supertrack summary table in lrSv.html, and a
consolidated makeDoc at doc/hg38/lrSv.txt.
refs #36258
Co-Authored-By: Claude Opus 4.7 (1M context)
+This track shows structural variants (SVs) identified by PacBio HiFi long-read
+whole-genome sequencing of 100 post-mortem human brain samples, split across
+three diagnostic groups: Parkinson's disease (PD), incidental Lewy body
+disease (ILBD) and healthy controls (HC). The high-confidence catalog
+contains 74,552 SVs: 34,056 insertions, 29,545 deletions, 9,707 duplications
+and 1,244 inversions.
+
+The dataset accompanies Kim et al. (2026), which combines the long-read SV
+catalog with single-nucleus RNA-seq from the same donors to identify SVs
+associated with cell-type-specific gene expression, including variants
+near genes nominated as causal targets of PD GWAS loci.
+
+Items are colored by SV type:
+Description
+Display Conventions and Configuration
+
+
+
+Insertions are placed at the insertion site with a width of 1 bp; deletions, +duplications and inversions span the affected reference interval. Filters are +available for SV type, SV length, variant quality and allele frequencies in +each of the three cohorts (PD, HC, ILBD), as well as the case-minus-control +carrier-rate differential. +
++The detail page shows, for each variant: +
+Long-read whole-genome sequencing was performed on 100 post-mortem brain +samples (35 PD, 31 ILBD, 34 HC) with PacBio HiFi chemistry. Per-sample SV +calls from multiple callers were merged into a joint callset; the +high-confidence filtered catalog released in Supplementary Table 13 +(media-13.txt) of the Kim et al. 2026 preprint is used directly +here. Per-cohort allele frequencies, Hardy-Weinberg statistics and case / +control carrier rates are reported in the source table; the track exposes +the allele counts and the case-control differential as filterable fields. +The paper also integrates single-nucleus RNA-seq from two brain regions +of the same donors to test SV-expression associations in specific cell +types, but that layer is not shown in this track. +
+ ++The data can be explored interactively in table format with the +Table Browser or the +Data Integrator, and accessed +programmatically through our API, +track=kwanhoSv. +
++The bigBed is available from +our +download server as kwanho.bb. Example: +bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg38/lrSv/kwanho.bb -chrom=chr21 -start=0 -end=100000000 stdout. +
++The full supplementary data for the paper (including media-13.txt) +is available from the Kim et al. 2026 preprint. +
+ ++Thanks to Kim, Levin and colleagues at the Aligning Science Across +Parkinson's (ASAP) Collaborative Research Network, the Broad Institute, +Yale School of Medicine, Banner Sun Health Research Institute and their +collaborators for releasing this dataset. +
+ ++Kim K, Lin Z, Simmons SK, Parker J, Kearney M, Liao Z, Haywood N, Zhang J, Cline MP, Tuncali I +et al. + +Integrating Long-Read Structural Variant Analysis with single-nucleus RNA-seq to Elucidate Gene +Expression Effects in Disease. +bioRxiv. 2026 Mar 23;. +PMID: 41929179; PMC: PMC13041997 +
+