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Paper Details

PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data.
Bioinform Adv
2
2023
23andMe SNP, PRScalc, Personal Genome, SNPs, single-nucleotide polymorphisms
Author NameAffiliation
Stephen J ChanockNational Cancer Institute
Stephen J ChanockNational Cancer Institute
Montserrat Garcia-ClosasNational Cancer Institute
Montserrat Garcia-ClosasNational Cancer Institute
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Datasets

PGS CatalogThe PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.Link
PGS CatalogThe PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.Link
PGS CatalogThe PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.Link
PGS CatalogThe PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.Link
PGS CatalogThe PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.Link
PGS CatalogThe PGS Catalog is an open database of published polygenic scores (PGS). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance. PGS are identified via literature search and data is curated from eligible publications; direct submissions of scores and metadata can also be made. Software tools for working with the data are available including pgsc_calc: a reproducible workflow to calculate both PGS Catalog and custom polygenic scores, including multiple methods to normalise for genetic ancestry.Link