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 long-read
+whole-genome sequencing of 101 individuals, released together with the
+GWAS SVatalog
+web tool described in Chirmade et al. 2026. GWAS SVatalog computes and
+visualizes linkage disequilibrium between these SVs and GWAS-associated
+SNPs so that investigators can assess whether a SNP association signal
+may be tagging an underlying SV.
+
+The table contains 87,183 SVs (42,435 deletions, 41,734 insertions,
+1,394 duplications, 912 inversions, 708 complex events). Each SV is
+annotated with gene overlaps, GC content, repeat context, ClinGen
+haploinsufficiency / triplosensitivity scores, gnomAD per-gene constraint
+metrics (pLI, LOEUF, missense O/E), OMIM phenotype associations, ClinVar
+variant IDs, and overlaps with DGV, Decipher and ClinGen regional
+annotations.
+
+Items are colored by SV type:
+Description
+Display Conventions and Configuration
+
+
+
+Filters are available for SV type, SV length and the number of overlapping +genes. The detail page shows the full annotation row: gene-level constraint +scores (per overlapping gene), ClinGen / Decipher / ClinVar region matches, +OMIM phenotype annotations and gnomAD SV frequencies at >=90% reciprocal +overlap. Because most genomic regions carry no clinical annotation, many +columns will be blank for an arbitrary SV. +
+ ++SVs were called from 101 long-read whole-genome sequencing samples and +annotated as described in Chirmade et al. 2026. The annotation table used +here (sv_annotations.tsv) is the companion data release for GWAS +SVatalog, available from the Zenodo record linked below. Coordinates in +the source TSV are 1-based closed and were converted to 0-based half-open +BED for this track. +
++Note that the SVatalog tool's pre-computed LD analyses use a common-SV +subset (35,732 sites); the underlying long-read callset released in this +TSV (87,183 SVs) is larger and includes rarer variants not used for LD +visualisation. +
+ ++The data can be explored interactively in table format with the +Table Browser or the +Data Integrator, and accessed +programmatically through our API, +track=chirmade101Sv. +
++The bigBed is available from +our +download server as chirmade101.bb. Example: +bigBedToBed http://hgdownload.soe.ucsc.edu/gbdb/hg38/lrSv/chirmade101.bb -chrom=chr21 -start=0 -end=100000000 stdout. +
++The original annotation table is available on Zenodo: +zenodo.org/records/13367574. +The GWAS SVatalog web tool itself is at +svatalog.research.sickkids.ca. +
+ ++Thanks to Chirmade, Strug and colleagues at The Hospital for Sick Children +and the University of Toronto for releasing this annotated long-read SV +callset alongside the GWAS SVatalog tool. +
+ ++Chirmade S, Wang Z, Mastromatteo S, Sanders E, Thiruvahindrapuram B, Nalpathamkalam T, Pellecchia G, +Lin F, Keenan K, Patel RV et al. + +GWAS SVatalog: a visualization tool to aid fine-mapping of GWAS loci with structural variations. +Heredity (Edinb). 2026 Mar;135(3):199-210. +PMID: 41203876; PMC: PMC13031531 +
+