afff541e7fd736cc48695ecf2442bea316120582 max Tue Aug 11 08:35:42 2026 -0700 update to the noyvertSv docs, page, based on email from author diff --git src/hg/makeDb/trackDb/human/noyvertSv.html src/hg/makeDb/trackDb/human/noyvertSv.html index 597b64f7cd4..488b8d9039e 100644 --- src/hg/makeDb/trackDb/human/noyvertSv.html +++ src/hg/makeDb/trackDb/human/noyvertSv.html @@ -1,53 +1,54 @@

Description

The structural variants (SVs) in this dataset were identified using Oxford Nanopore long-read whole-genome sequencing of 888 individuals from the 1000 -Genomes Project, representing five ancestry groups. The SVs were merged with +Genomes Project, representing five ancestry groups. +This dataset and the 1KG ONT Vienna track +(Schloissnig et al. 2025) are based on the same underlying Oxford Nanopore +sequencing data; the 888 samples here are a subset of the 1,019 samples in that +track and only SVs that appear in a single sample (singletons) were removed from this track, +so this callset is smaller than the Schloissnig dataset. The reason is that +this callset was created primarily for imputation: The SVs here were merged with previously identified short variants from the same individuals to generate a multi-ancestry SV imputation reference panel. This panel was used to impute SVs in approximately 500,000 UK Biobank participants and test their associations with 32 disease-relevant traits.

The track contains all 107,445 SVs in the reference panel: 59,953 insertions, 38,459 deletions, 5,729 inversions, 2,696 breakends, and 608 duplications. +Variants seen in only a single individual (singletons) were excluded from the +panel, so every SV shown was observed in at least two individuals; the panel is +therefore not exhaustive for very rare variants. Each variant is annotated with its overall allele frequency; allele frequencies across five superpopulations (African, Admixed American, East Asian, European, and South Asian); Hardy-Weinberg equilibrium p-values; and imputation accuracy metrics from internal leave-one-out validation and UK Biobank imputation. For SVs reaching genome-wide significance, the associated traits, p-values, and INFO scores are listed on the corresponding variant details page.

-This dataset is an independent reprocessing of the same Oxford Nanopore reads -used for the 1KG ONT Vienna track -(Schloissnig et al. 2025). The 888 samples in this dataset are a subset of the -1,019 samples included in that track, with both datasets based on the same -underlying sequencing data. -However, the data-processing and SV-calling methods differ between the two -tracks, so the individual calls are only partially concordant. This track has -about 38,000 deletions and the Vienna track about 58,000; at a 50% -reciprocal-overlap threshold roughly 12,000 are shared. That is about a third -of the deletions in this track and, conversely, about a fifth of the Vienna -deletions; requiring at least 90% mutual overlap lowers these shares to roughly -a quarter and a sixth, respectively. A similar fraction (about a quarter) of -the insertions in this track have a size-matched Vienna insertion within -100 bp. The imputation reference panel, UK Biobank imputation results, and -SV-wide association study (SV-WAS) results described here are specific to this -track. +This dataset and the 1KG ONT Vienna track +(Schloissnig et al. 2025) are based on the same underlying Oxford Nanopore +sequencing data; the 888 samples here are a subset of the 1,019 samples in that +track. The two studies applied different data-processing and SV-calling +pipelines to address distinct research objectives, so the individual calls are +only partially concordant. The imputation reference panel, UK Biobank +imputation results, and SV-wide association study (SV-WAS) results described +here are specific to this track.

Display Conventions and Configuration

Items are colored by SV type, matching the other subtracks of the container:

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Thanks to Boris Noyvert and colleagues at Boehringer Ingelheim and the wider study team for generating this multi-ancestry long-read SV panel and for sharing the per-variant summary table, and to the 1000 Genomes Project and the UK Biobank participants whose data made the study possible.

References

Noyvert B, Erzurumluoglu AM, Drichel D, Omland S, Andlauer TFM et al. Imputation of structural variants using a multi-ancestry long-read sequencing panel enables identification of disease associations. eLife. 2025. doi:10.7554/eLife.106115.1

+

+A continuously updated preprint version of this study is available on medRxiv: + +doi:10.1101/2023.12.20.23300308. +

  Deletion (DEL)
  Insertion (INS)
  Duplication (DUP)
  Inversion (INV)