Recent Releases of pgsc_calc

pgsc_calc - v2.0.1

Docs improvements

Bug fixes

  • Fix singularity tests on GitHub actions

Full Changelog: https://github.com/PGScatalog/pgsc_calc/compare/v2.0.0...v2.0.1

- Nextflow
Published by nebfield about 1 year ago

pgsc_calc - v2.0.0

We've marked this release as the first full release of v2, linked with our recent publication describing the calculator in full (Lambert, Wingfield, et al. Nature Genetics. 2024.).

Changelog

Improvements

  • Make report shareable by default
    • Remove individual level data
    • Don't show density plots with small sample sizes
  • Add warnings about complex alleles (e.g. HLA/APOE) and dosage specific effect weights to the report
  • The variant verification step added in 2.0.0-beta.3 has been integrated into pgscatalog-aggregate
    • The symmetric difference of scoring file variant IDs (.scorefile.gz) and variants that contributed to the final calculated score (.vars plink file) must be an empty set

Bug fixes

  • Stop crashing when encountering a scoring file with dosage specific effect weights (skip instead)
  • Fix report logo
  • Fix VCF input with JSON samplesheets
  • Add tar to zstd conda environment to prevent very old tar installs failing to extract the database
  • Reduce download max thread workers to prevent throttling by the EBI
  • Fix variant verification step failing in some conda deployments

Full Changelog: https://github.com/PGScatalog/pgsc_calc/compare/v2.0.0-beta.3...v2.0.0


[!NOTE]
* The COMBINE_SCOREFILES process may take longer to finish and use more memory than in previous versions * New internal variant data models were added in this release to improve handling complex alleles and dosage specific effect weights * Also, every variant (scoring file row) has many more validation steps now to ensure data quality and consistency * Speed and memory usage will be improved in the next release

- Nextflow
Published by smlmbrt over 1 year ago

pgsc_calc - v2.0.0-beta.3

Changelog

Important fix: Fix splitting duplicated variant IDs across multiple scoring files

Background

  • The MATCH_COMBINE step writes new scoring files for input to plink2 --score
  • When plink2 encounters a variant with the same ID across multiple rows in a scoring file it will ignore duplicates and warn about them
  • This only happens when the same variant ID has different effect alleles across different rows
    • A variant ID with the same effect allele and scores across multiple columns is OK, this causes scores to be calculated in parallel

Example

When using PGS000039, PGS000040, and PGS000041 in parallel some variants have different effect alleles at the same coordinates, for example:

22:40682469:T:C with effect allele T (PGS000041hmPOSGRCh38) 22:40682469:T:Cwith effect allele C (PGS000039hmPOSGRCh38)

Impact

In versions v2.0.0-beta, beta.1, and beta.2 the duplicated variant is written to the same scoring file and ignored by plink2. The duplicated variant doesn't contribute to the final calculated PGS.

In all v2.0.0-alpha versions and beta.3 a second scoring file is correctly written containing the other allele (additional alleles create extra scoring files automatically within the updated MATCH_COMBINE process). We have also updated the software tests to ensure this error doesn't occur in future releases.

This problem is more likely to happen when larger scores are calculated in parallel. As more scores are calculated in parallel, it's more likely that variant IDs with different effect alleles will duplicate and be ignored during the score calculation stage.

While the overall impact on the final score is likely to be small we encourage users to upgrade to beta.3, especially if they calculate larger scores in parallel.

How do I know if my data are affected?

$ cd work/71/35fa3c977993b71d5a85fb6721e8c3 # cd to a scoring process directory $ comm -3 <(sort hgdp_22_additive_0.sscore.vars) <(zcat hgdp_22_additive_0.scorefile.gz | tail -n +2 | cut -f 1 | sort) 22:40682469:T:C

One missing variant appears in the output. This check is now included in the scoring module.

Other fixes

  • Fix --keep_ambiguous parameter #346 (@nebfield)
  • Fix variant matching information getting dropped from log when scores didn't pass the match rate threshold (@nebfield)
  • Fix fraposa-pgsc handling exclusively numeric IIDs https://github.com/PGScatalog/fraposa_pgsc/pull/18 (@smlmbrt)

- Nextflow
Published by nebfield almost 2 years ago

pgsc_calc - v2.0.0-beta.2

Changelog

Features

  • Add FID support internally (FID + IID must be unique for all samples) [@nebfield, thanks to @jasamack for initial draft fix]
  • Add parameters to tune target variant missingness (--pca_geno_miss_target, default maximum 10%) and/or MAF (--pca_maf_target, default no filtering) during intersection with the reference panel. [@smlmbrt]
    • The new defaults will help incorrect ancestry assignments when running the calculator on low sample sizes (revert to pre-beta version behaviour), as this behaviour was caused by the MAF filter before.
  • Add --efo_id parameter, deprecating --trait_efo which will be removed in a future release

Misc

  • Remove default anaconda channels because of license changes https://github.com/PGScatalog/pgsc_calc/pull/342

- Nextflow
Published by nebfield almost 2 years ago

pgsc_calc - v2.0.0-beta.1

Changelog

Bug fixes

  • Fix samplesheet parsing error warnings by @smlmbrt in https://github.com/PGScatalog/pgsc_calc/pull/322
  • Write consistent column sets to variant information files by @nebfield in https://github.com/PGScatalog/pgsc_calc/pull/330

Full Changelog: https://github.com/PGScatalog/pgsc_calc/compare/v2.0.0-beta...v2.0.0-beta.1

- Nextflow
Published by nebfield almost 2 years ago

pgsc_calc - v2.0.0-beta

Changelog

Graduating to beta with the release of our preprint 🎉

Improvements

  • Improve aggregation https://github.com/PGScatalog/pygscatalog/pull/23
  • Improve matching performance https://github.com/PGScatalog/pygscatalog/pull/22
  • Improve match error docs https://github.com/PGScatalog/pgsc_calc/pull/311
  • Publish dependencies to Bioconda to improve conda profile UX
    • https://anaconda.org/bioconda/fraposa-pgsc
    • https://anaconda.org/bioconda/pgscatalog.core
    • https://anaconda.org/bioconda/pgscatalog.match
    • https://anaconda.org/bioconda/pgscatalog.calc

Bug fixes

  • Fix for https://github.com/PGScatalog/pygscatalog/issues/21
  • Closes #301
  • Specify modules explicitly to fix #312
  • Fix bim input to pgscatalog-aggregate #319

- Nextflow
Published by nebfield about 2 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha.6

Changelog

2024-05-28 update: We're investigating unexpected pgscatalog.core.lib.pgsexceptions.MatchRateError in some environments (e.g. UK Biobank on a HPC). This release has been downgraded to a pre-release

Please note the minimum required nextflow version has been updated to v23.10.0, released in October 2023. Run nextflow self-update to upgrade your nextflow version.

Improvements

  • Migrate our custom python tools to new pygscatalog packages
    • Reference / target intersection now considers allelic frequency and variant missingness to determine PCA eligibility
    • Downloads from PGS Catalog should be faster (async)
    • Packages are now documented
  • Update plink version to alpha 5.10 final #179
  • Add docs describing cloud execution
  • Add correlation test comparing calculated scores against known good scores
  • When matching variants, matching logs are now written before scorefiles to improve debugging UX
  • Improvements to PCA quality (ensuring low missingness and suitable MAF for PCA-eligble variants in target samples).
    • This could allow us to implement MAF/missingness filters for scoring file variants in the future.

Bug fixes

  • Fix ancestry adjustment with VCFs #252
  • Fix support for scoring files that only have one effect type column #280
  • Fix adjusting PGS with zero variance (skip them) #283
  • Check for reserved characters in sampleset names

Known bug

  • Incorrectly adjusting the AVG in --run_ancestry mode #301
  • unexpected pgscatalog.core.lib.pgsexceptions.MatchRateError in some environments (e.g. UK Biobank on a HPC)

- Nextflow
Published by nebfield about 2 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha.5

Changelog

Improvements

  • Automatically mount directories inside singularity containers without setting any configuration
  • Improve permanent caching of ancestry processes with --genotypes_cache parameter
  • resync with nf-core framework
  • Refactor combine_scorefiles to improve speed and quality control processes

Bug fixes

  • Fix semantic storeDir definitions causing problems cloud execution (google batch)
  • Fix missing DENOM values with multiple custom scoring files (score calculation not affected)
  • Fix liftover failing silently with custom scoring files (thanks Brooke!)

Misc:

  • Move aggregation step out of report
  • Improve speed of ANCESTRY_ANALYSIS

- Nextflow
Published by nebfield over 2 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha.4

Changelog

Improvements

  • Give a more helpful error message when there's no valid matches in match_combine

Bug fixes

  • Fix retrying downloads when the EBI servers are sleepy on a Monday morning
  • Fix numeric sample identifiers breaking ancestry analysis
  • Check chr prefix in samplesheets

- Nextflow
Published by nebfield over 2 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha.3

Improvements:

  • Automatically retry scoring with more RAM on larger datasets
  • Describe scoring precision in docs
  • Change handling of VCFs to reduce errors when recoding
  • Internal changes to improve support for custom reference panels

Bug fixes:

  • Fix VCF input to ancestry projection subworkflow (thanks frahimov and AWS-crafter for patiently debugging)
  • Fix scoring options when reading allelic frequencies from a reference panel (thanks raimondsre for reporting the changes from v1.3.2 -> 2.0.0-alpha)
  • Fix conda profile action

- Nextflow
Published by nebfield over 2 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha.2

Changelog

  • Bump pgscatalog_utils v0.4.0 -> v0.4.1
    • Closes #165

- Nextflow
Published by nebfield almost 3 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha.1

This patch fixes a bug when running the workflow directly from github with the test profile (i.e. without cloning first). Thanks to @staedlern for reporting the problem.

- Nextflow
Published by nebfield almost 3 years ago

pgsc_calc - pgsc_calc v2.0.0-alpha

This is the alpha release of the pgsc_calc pipeline's major new feature: to compare samples to a reference population in order to adjust PGS with genetic ancestry data (see documentation for details). The normal calculation of PGS is largely unaffected and directly comparable with previous versions of the calculator and PGS calculated with other tools.

Features

Major

  • Breaking changes to samplesheet structure to provide more flexible support for extra genomic file types in the future.
  • Genetic ancestry group similarity is calculated to a population reference panel (default: 1000 Genomes) when the --run_ancestry flag is supplied. This runs using PCA and projection implemented in the fraposa_pgsc (v0.1.0) package.
  • Calculated PGS can be adjusted for genetic ancestry using empirical PGS distributions from the most similar reference panel population or continuous PCA-based regressions.

These new features are optional and don't run in the default workflow.

Minor

  • Speed optimizations for PGS scoring (skipping allele frequency calculation). Thanks to @mglev1n for the suggestion!

Credits

Contributions from: @nebfield @smlmbrt @ens-lgil

- Nextflow
Published by smlmbrt almost 3 years ago

pgsc_calc - pgsc_calc v1.3.2

This patch fixes a bug that caused the effect weight column in some PGS Catalog scoring files to be read as strings instead of floats, which triggered an assertion error. Thanks to @j0n-a for reporting the problem.

- Nextflow
Published by nebfield over 3 years ago

pgsc_calc - pgsc_calc v1.3.1

This patch fixes a bug that breaks the workflow if all variants in one or more PGS scoring files match perfectly with the target genomes. Thanks to @lemieuxl for reporting the problem.

- Nextflow
Published by nebfield over 3 years ago

pgsc_calc - pgsc_calc v1.3.0

This release is focused on improving scalability.

Features

  • Variant matching is made more efficient using a split - apply - combine approach when the data is split across chromosomes. This supports parallel PGS calculation for the largest traits in the PGS Catalog (e.g. cancer, 418 PGS [avg 261,000 variants/score]) on big datasets such as UK Biobank.
  • Better support for running in offline environments:
    • Internet access is only required to download scores by ID. Scores can be pre-downloaded using the utils package (https://pypi.org/project/pgscatalog-utils/)
    • Scoring file metadata is read from headers and displayed in the report (removed API calls during report generation)
  • Implemented flag (-–efo_direct) to return only PGS tagged with exact EFO term (e.g. no PGS for child/descendant terms in the ontology)

- Nextflow
Published by nebfield over 3 years ago

pgsc_calc - pgsc_calc v1.2.0

This release is focused on improving memory and storage usage.

Features

  • Allow genotype dosages to be imported from VCF to be specified in vcfgenotypefield of samplesheet (default: GT / hard calls)
  • Makes use of durable caching when relabelling and recoding target genomes (--genotypes_cache)
  • Improvements to use less storage space:
    • All intermediate files are now compressed by default
    • Add parameter to support zstd compressed input files
  • Improved memory usage when matching variants

(updated tagged release to fix docs)

- Nextflow
Published by nebfield over 3 years ago

pgsc_calc - pgsc_calc v1.1.0

The first public release of the pgsc_calc pipeline. This release adds compatibility for every score published in the PGS Catalog. Each scoring file in the PGS Catalog has been processed to provide consistent genomic coordinates in builds GRCh37 and GRCh38. The pipeline has been updated to take advantage of the harmonised scoring files (see PGS Catalog downloads for additional details).

Features

  • Many of the underlying software tools are now implemented within a pgscatalog_utils package (v0.1.2, https://github.com/PGScatalog/pgscatalog_utils and https://pypi.org/project/pgscatalog-utils/). The packaging allows for independent testing and development of tools for downloading and working with the scoring files.

  • The output report has been improved to have more detailed metadata describing the scoring files and how well the variants match the target sampleset(s).

  • Improvements to variant matching:

    • More precise control of variant matching parameters is now possible, like ignoring strand flips
    • match_variants should now use less RAM by default:
      • A laptop with 16GB of RAM should be able to comfortably calculate scores on the 1000 genomes dataset
      • Fast matching mode (--fast_match) is available if ~32GB of RAM is available and you'd like to calculate scores for larger datasets
  • Groups of scores from the PGS Catalog can be calculated by specifying a specific --trait (EFO ID) or --publication (PGP ID), in addition to using individual scoring files --pgs_id (PGS ID).

  • Score validation has been integrated with the test suite

  • Support for M1 Macs with --platform parameter (docker executor only)

Bug fixes

  • Implemented a more robust prioritisation procedure if a variant has multiple candidate matches or duplicated IDs

  • Fixed processing multiple samplesets in parallel (e.g. 1000 Genomes + UK Biobank)

  • When combining multiple scoring files, all variants are now kept to reflect the correct denominator for % matching statistics.

  • When trying to correct for strand flips the matched effect allele wasn't being correctly complemented

- Nextflow
Published by nebfield almost 4 years ago

pgsc_calc - v1.0.0

This release reliably calculates scores that contain chromosomal positions (scores with only rsID information will fail). Significant effort has been made to validate scores on different reference datasets. In the next release we'll add score validation to our test suite to make sure calculated scores are consistent between releases.

Changelog

  • Add support for PLINK2 format (samplesheet structure changed)
  • Add support for allosomes (e.g. X, Y)
  • Improve PGS Catalog compatibility (e.g. missing other allele)
  • Add automatic liftover of scoring files to match target genome build
  • Performance improvements to support UK BioBank scale data (500,000 genomes)
  • Support calculation of multiple scores in parallel
  • Significantly improved test coverage (> 80%)
  • Lots of other small changes to improve correctness and handling edge cases

In Development

This is marked as a pre-release because it will will fail for PGS Catalog scores that only have an rsID. Mapped positions will eventually be provided for existing scores via the PGS Catalog API and these will be integrated into the calculator pipeline.

- Nextflow
Published by nebfield about 4 years ago

pgsc_calc - 0.1.3dev

[0.1.3dev] - 2022-02-04

pgsccalc should run on GrCh37 scoring files from the PGS Catalog & GrCh37 target genomic data but :rotatinglight: don't trust the output :rotating_light:

This release is the final implementation of the MVP.

Changelog

  • Better support for calling pipeline via an API
  • Documentation(!)
  • Better schemas for validation

- Nextflow
Published by nebfield over 4 years ago

pgsc_calc - 0.1.2dev

[0.1.2dev] - 2022-01-17

pgsccalc should run on GrCh37 scoring files from the PGS Catalog & GrCh37 target genomic data but :rotatinglight: don't trust the output :rotating_light:

Enhancements & fixes

  • #2: Set up github action CI and linting
  • A lot of work to integrate with IGS4EU (e.g. JSON input)

- Nextflow
Published by nebfield over 4 years ago

pgsc_calc - 0.1.1dev

Small fix to reflect the new scoring file format used by the PGS Catalog (version 2.0)

pgsc_calc should run on GrCh37 scoring files from the PGS Catalog & GrCh37 target genomic data but :rotatinglight: don't trust the output :rotatinglight:

- Nextflow
Published by nebfield over 4 years ago