Imputation Server PGS: an automated approach to calculate polygenic risk scores on imputation servers

Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inef...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Nucleic acids research Ročník 52; číslo W1; s. W70 - W77
Hlavní autoři:	Forer, Lukas, Taliun, Daniel, LeFaive, Jonathon, Smith, Albert V, Boughton, Andrew P, Coassin, Stefan, Lamina, Claudia, Kronenberg, Florian, Fuchsberger, Christian, Schönherr, Sebastian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Oxford University Press 05.07.2024
Témata:	Alleles Genetic Predisposition to Disease Genetic Risk Score Genome-Wide Association Study - methods Genotype Humans Internet Multifactorial Inheritance - genetics Polymorphism, Single Nucleotide Software Web Server Issue
ISSN:	0305-1048, 1362-4962, 1362-4962
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present ‘Imputation Server PGS’, an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https://imputationserver.sph.umich.edu.
AbstractList	Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present 'Imputation Server PGS', an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https://imputationserver.sph.umich.edu.Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present 'Imputation Server PGS', an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https://imputationserver.sph.umich.edu. Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present ‘Imputation Server PGS’, an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https://imputationserver.sph.umich.edu. Graphical Abstract Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele dosages for genetic variants associated with the trait or disease in question. Present approaches for calculating PGS from genotypes are often inefficient and labor-intensive, limiting transferability into clinical applications. Here, we present 'Imputation Server PGS', an extension of the Michigan Imputation Server designed to automate a standardized calculation of polygenic scores based on imputed genotypes. This extends the widely used Michigan Imputation Server with new functionality, bringing the simplicity and efficiency of modern imputation to the PGS field. The service currently supports over 4489 published polygenic scores from publicly available repositories and provides extensive quality control, including ancestry estimation to report population stratification. An interactive report empowers users to screen and compare thousands of scores in a fast and intuitive way. Imputation Server PGS provides a user-friendly web service, facilitating the application of polygenic scores to a wide range of genetic studies and is freely available at https://imputationserver.sph.umich.edu.
Author	Coassin, Stefan Kronenberg, Florian Forer, Lukas Taliun, Daniel LeFaive, Jonathon Boughton, Andrew P Lamina, Claudia Schönherr, Sebastian Smith, Albert V Fuchsberger, Christian
Author_xml	– sequence: 1 givenname: Lukas orcidid: 0000-0003-2139-7329 surname: Forer fullname: Forer, Lukas – sequence: 2 givenname: Daniel surname: Taliun fullname: Taliun, Daniel – sequence: 3 givenname: Jonathon orcidid: 0000-0003-3668-6086 surname: LeFaive fullname: LeFaive, Jonathon – sequence: 4 givenname: Albert V surname: Smith fullname: Smith, Albert V – sequence: 5 givenname: Andrew P surname: Boughton fullname: Boughton, Andrew P – sequence: 6 givenname: Stefan orcidid: 0000-0001-5677-8979 surname: Coassin fullname: Coassin, Stefan – sequence: 7 givenname: Claudia orcidid: 0000-0002-5398-5806 surname: Lamina fullname: Lamina, Claudia – sequence: 8 givenname: Florian orcidid: 0000-0003-2229-1120 surname: Kronenberg fullname: Kronenberg, Florian – sequence: 9 givenname: Christian surname: Fuchsberger fullname: Fuchsberger, Christian – sequence: 10 givenname: Sebastian orcidid: 0000-0001-5909-9226 surname: Schönherr fullname: Schönherr, Sebastian
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/38709879$$D View this record in MEDLINE/PubMed
BookMark	eNptkc1v1TAQxC1URF8LJ-7IRyQU6o2T2OGCqoqWSpVAKpytjbN5NU3sYCeV-t9j-l75EqeVdmd_I80csQMfPDH2EsRbEK088RhPtrdIUsITtgHZlEXVNuUB2wgp6gJEpQ_ZUUrfhIAK6uoZO5RaiVardsPocprXBRcXPL-meEeRf764fsfRc1yXMOFCPcd5jgHtDV8CtzjadcxrPofxfkveWR5duuXJhkiJZ477jUwPyPScPR1wTPRiP4_Z1_MPX84-FlefLi7PTq8KK3W5FH2j0TaVImsBa00KSk0NyLprekQ9WEmylmQ7VcoOJdTQV1U1aKV01w6o5DF7v-POazdRb8kvEUczRzdhvDcBnfn74t2N2YY7A1CWORTIhNd7QgzfV0qLmVyyNI7oKazJ5EShla2SIktf_Wn2y-Ux3CyAncDGkFKkwVi3yyV7u9GAMD8LNLlAsy8w_7z55-cR-z_1D0l8oSQ
CitedBy_id	crossref_primary_10_1111_joim_20027 crossref_primary_10_3390_cancers17152472 crossref_primary_10_3390_jpm14060565 crossref_primary_10_1111_acps_13793 crossref_primary_10_1038_s43856_025_00981_w
Cites_doi	10.1186/s13059-018-1396-2 10.1016/j.ajhg.2022.09.001 10.1136/jmg-2022-108502 10.1126/science.1153717 10.1186/1471-2105-13-200 10.1038/nature15393 10.1093/gigascience/giz082 10.1038/s41586-018-0579-z 10.1097/MOL.0000000000000759 10.1038/s41588-021-00783-5 10.1038/s41586-021-03205-y 10.1038/ncomms12522 10.1093/bioinformatics/btx075 10.1016/j.ajhg.2020.08.025 10.1038/s41588-019-0379-x 10.1038/s41588-018-0183-z 10.1038/s41467-018-05747-8 10.3389/fgene.2022.818574 10.1038/s41467-019-09718-5 10.1038/ng.3656 10.1001/jama.2019.3893 10.1016/j.ajhg.2021.11.008 10.1158/1055-9965.EPI-20-1319 10.1038/s41467-022-31080-2 10.1093/bioadv/vbad145 10.1186/s13742-015-0047-8 10.1093/bioinformatics/btaa152 10.1186/s13073-020-00742-5 10.1038/ng.3643 10.1093/bioinformatics/btq671 10.1016/j.ajhg.2018.11.002 10.1038/nbt.3820
ContentType	Journal Article
Copyright	The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. 2024
Copyright_xml	– notice: The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. – notice: The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. 2024
DBID	AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM
DOI	10.1093/nar/gkae331
DatabaseName	CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles)
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic
DatabaseTitleList	MEDLINE - Academic MEDLINE CrossRef
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Anatomy & Physiology Chemistry
EISSN	1362-4962
EndPage	W77
ExternalDocumentID	PMC11223871 38709879 10_1093_nar_gkae331
Genre	Journal Article
GrantInformation_xml	– fundername: Medical University of Innsbruck – fundername: ;
GroupedDBID	--- -DZ -~X .I3 0R~ 123 18M 1TH 29N 2WC 4.4 482 53G 5VS 5WA 70E 85S A8Z AAFWJ AAHBH AAMVS AAOGV AAPXW AAVAP AAYXX ABEJV ABGNP ABPTD ABQLI ABXVV ACGFO ACGFS ACIWK ACNCT ACPRK ACUTJ ADBBV ADHZD AEGXH AENEX AENZO AFFNX AFPKN AFRAH AFYAG AHMBA AIAGR ALMA_UNASSIGNED_HOLDINGS ALUQC AMNDL AOIJS BAWUL BAYMD BCNDV CAG CIDKT CITATION CS3 CZ4 DIK DU5 D~K E3Z EBD EBS EMOBN F5P GROUPED_DOAJ GX1 H13 HH5 HYE HZ~ IH2 KAQDR KQ8 KSI OAWHX OBC OBS OEB OES OJQWA OVT P2P PEELM PQQKQ R44 RD5 RNS ROL ROZ RPM RXO SV3 TN5 TOX TR2 WG7 WOQ X7H XSB YSK ZKX ~91 ~D7 ~KM CGR CUY CVF ECM EIF M49 NPM 7X8 ESTFP 5PM
ID	FETCH-LOGICAL-c382t-d68ac647ecc1a58e7128e6135b6daa8fc3e353ecb723ba3151d444f8778b9fa73
ISICitedReferencesCount	8
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001216091900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0305-1048 1362-4962
IngestDate	Tue Sep 30 17:08:12 EDT 2025 Mon Sep 08 16:19:02 EDT 2025 Thu Apr 03 07:03:54 EDT 2025 Sat Nov 29 04:15:28 EST 2025 Tue Nov 18 22:25:54 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	W1
Language	English
License	https://creativecommons.org/licenses/by/4.0 The Author(s) 2024. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c382t-d68ac647ecc1a58e7128e6135b6daa8fc3e353ecb723ba3151d444f8778b9fa73
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ORCID	0000-0001-5909-9226 0000-0002-5398-5806 0000-0003-2229-1120 0000-0003-3668-6086 0000-0001-5677-8979 0000-0003-2139-7329
OpenAccessLink	http://dx.doi.org/10.1093/nar/gkae331
PMID	38709879
PQID	3051939730
PQPubID	23479
ParticipantIDs	pubmedcentral_primary_oai_pubmedcentral_nih_gov_11223871 proquest_miscellaneous_3051939730 pubmed_primary_38709879 crossref_citationtrail_10_1093_nar_gkae331 crossref_primary_10_1093_nar_gkae331
PublicationCentury	2000
PublicationDate	2024-07-05
PublicationDateYYYYMMDD	2024-07-05
PublicationDate_xml	– month: 07 year: 2024 text: 2024-07-05 day: 05
PublicationDecade	2020
PublicationPlace	England
PublicationPlace_xml	– name: England
PublicationTitle	Nucleic acids research
PublicationTitleAlternate	Nucleic Acids Res
PublicationYear	2024
Publisher	Oxford University Press
Publisher_xml	– name: Oxford University Press
References	Prive (2024070423593723600_B17) 2022; 109 Zhang (2024070423593723600_B16) 2020; 36 Natarajan (2024070423593723600_B3) 2018; 9 Li (2024070423593723600_B12) 2011; 27 McCarthy (2024070423593723600_B22) 2016; 48 Schönherr (2024070423593723600_B18) 2012; 13 Li (2024070423593723600_B14) 2008; 319 Mavaddat (2024070423593723600_B25) 2019; 104 Lakeman (2024070423593723600_B26) 2023; 60 Ge (2024070423593723600_B29) 2019; 10 Lambert (2024070423593723600_B6) 2021; 53 Morales (2024070423593723600_B15) 2018; 19 Martin (2024070423593723600_B31) 2019; 51 Das (2024070423593723600_B9) 2016; 48 Collister (2024070423593723600_B10) 2022; 13 Taliun (2024070423593723600_B24) 2021; 590 Fritsche (2024070423593723600_B7) 2020; 107 Khera (2024070423593723600_B2) 2018; 50 Lewis (2024070423593723600_B5) 2020; 12 Ma (2024070423593723600_B8) 2022; 109 Mathias (2024070423593723600_B21) 2016; 7 Taliun (2024070423593723600_B13) 2017; 33 Kurniansyah (2024070423593723600_B32) 2022; 13 Sandoval (2024070423593723600_B28) 2023; 3 Christoffersen (2024070423593723600_B4) 2021; 32 Carver (2024070423593723600_B27) 2021; 30 Chang (2024070423593723600_B23) 2015; 4 Di Tommaso (2024070423593723600_B11) 2017; 35 Auton (2024070423593723600_B20) 2015; 526 Bycroft (2024070423593723600_B19) 2018; 562 Sugrue (2024070423593723600_B1) 2019; 321 Choi (2024070423593723600_B30) 2019; 8
References_xml	– volume: 19 start-page: 21 year: 2018 ident: 2024070423593723600_B15 article-title: A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS Catalog publication-title: Genome Biol. doi: 10.1186/s13059-018-1396-2 – volume: 109 start-page: 1742 year: 2022 ident: 2024070423593723600_B8 article-title: ExPRSweb: an online repository with polygenic risk scores for common health-related exposures publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2022.09.001 – volume: 60 start-page: 327 year: 2023 ident: 2024070423593723600_B26 article-title: Clinical applicability of the Polygenic Risk Score for breast cancer risk prediction in familial cases publication-title: J. Med. Genet. doi: 10.1136/jmg-2022-108502 – volume: 319 start-page: 1100 year: 2008 ident: 2024070423593723600_B14 article-title: Worldwide human relationships inferred from genome-wide patterns of variation publication-title: Science doi: 10.1126/science.1153717 – volume: 13 start-page: 200 year: 2012 ident: 2024070423593723600_B18 article-title: Cloudgene: a graphical execution platform for MapReduce programs on private and public clouds publication-title: BMC Bioinf. doi: 10.1186/1471-2105-13-200 – volume: 526 start-page: 68 year: 2015 ident: 2024070423593723600_B20 article-title: A global reference for human genetic variation publication-title: Nature doi: 10.1038/nature15393 – volume: 8 start-page: giz082 year: 2019 ident: 2024070423593723600_B30 article-title: PRSice-2: polygenic Risk Score software for biobank-scale data publication-title: Gigascience doi: 10.1093/gigascience/giz082 – volume: 562 start-page: 203 year: 2018 ident: 2024070423593723600_B19 article-title: The UK Biobank resource with deep phenotyping and genomic data publication-title: Nature doi: 10.1038/s41586-018-0579-z – volume: 32 start-page: 157 year: 2021 ident: 2024070423593723600_B4 article-title: Polygenic risk scores: how much do they add? publication-title: Curr. Opin. Lipidol. doi: 10.1097/MOL.0000000000000759 – volume: 53 start-page: 420 year: 2021 ident: 2024070423593723600_B6 article-title: The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation publication-title: Nat. Genet. doi: 10.1038/s41588-021-00783-5 – volume: 590 start-page: 290 year: 2021 ident: 2024070423593723600_B24 article-title: Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program publication-title: Nature doi: 10.1038/s41586-021-03205-y – volume: 7 start-page: 12522 year: 2016 ident: 2024070423593723600_B21 article-title: A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome publication-title: Nat. Commun. doi: 10.1038/ncomms12522 – volume: 33 start-page: 2056 year: 2017 ident: 2024070423593723600_B13 article-title: LASER server: ancestry tracing with genotypes or sequence reads publication-title: Bioinformatics doi: 10.1093/bioinformatics/btx075 – volume: 107 start-page: 815 year: 2020 ident: 2024070423593723600_B7 article-title: Cancer PRSweb: an online repository with polygenic risk scores for major cancer traits and their evaluation in two independent biobanks publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2020.08.025 – volume: 51 start-page: 584 year: 2019 ident: 2024070423593723600_B31 article-title: Clinical use of current polygenic risk scores may exacerbate health disparities publication-title: Nat. Genet. doi: 10.1038/s41588-019-0379-x – volume: 50 start-page: 1219 year: 2018 ident: 2024070423593723600_B2 article-title: Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations publication-title: Nat. Genet. doi: 10.1038/s41588-018-0183-z – volume: 9 start-page: 3391 year: 2018 ident: 2024070423593723600_B3 article-title: Deep-coverage whole genome sequences and blood lipids among 16,324 individuals publication-title: Nat. Commun. doi: 10.1038/s41467-018-05747-8 – volume: 13 start-page: 818574 year: 2022 ident: 2024070423593723600_B10 article-title: Calculating Polygenic Risk Scores (PRS) in UK Biobank: a practical guide for epidemiologists publication-title: Front. Genet. doi: 10.3389/fgene.2022.818574 – volume: 10 start-page: 1776 year: 2019 ident: 2024070423593723600_B29 article-title: Polygenic prediction via Bayesian regression and continuous shrinkage priors publication-title: Nat. Commun. doi: 10.1038/s41467-019-09718-5 – volume: 48 start-page: 1284 year: 2016 ident: 2024070423593723600_B9 article-title: Next-generation genotype imputation service and methods publication-title: Nat. Genet. doi: 10.1038/ng.3656 – volume: 321 start-page: 1820 year: 2019 ident: 2024070423593723600_B1 article-title: What are polygenic scores and why are they important? publication-title: JAMA doi: 10.1001/jama.2019.3893 – volume: 109 start-page: 12 year: 2022 ident: 2024070423593723600_B17 article-title: Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2021.11.008 – volume: 30 start-page: 469 year: 2021 ident: 2024070423593723600_B27 article-title: CanRisk Tool - a web interface for the prediction of breast and ovarian cancer risk and the likelihood of carrying genetic pathogenic variants publication-title: Cancer Epidemiol. Biomarkers Prev. doi: 10.1158/1055-9965.EPI-20-1319 – volume: 13 start-page: 3549 year: 2022 ident: 2024070423593723600_B32 article-title: A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood publication-title: Nat. Commun. doi: 10.1038/s41467-022-31080-2 – volume: 3 start-page: vbad145 year: 2023 ident: 2024070423593723600_B28 article-title: PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data publication-title: Bioinform. Adv. doi: 10.1093/bioadv/vbad145 – volume: 4 start-page: 7 year: 2015 ident: 2024070423593723600_B23 article-title: Second-generation PLINK: rising to the challenge of larger and richer datasets publication-title: Gigascience doi: 10.1186/s13742-015-0047-8 – volume: 36 start-page: 3439 year: 2020 ident: 2024070423593723600_B16 article-title: Fast and robust ancestry prediction using principal component analysis publication-title: Bioinformatics doi: 10.1093/bioinformatics/btaa152 – volume: 12 start-page: 44 year: 2020 ident: 2024070423593723600_B5 article-title: Polygenic risk scores: from research tools to clinical instruments publication-title: Genome Med. doi: 10.1186/s13073-020-00742-5 – volume: 48 start-page: 1279 year: 2016 ident: 2024070423593723600_B22 article-title: A reference panel of 64,976 haplotypes for genotype imputation publication-title: Nat. Genet. doi: 10.1038/ng.3643 – volume: 27 start-page: 718 year: 2011 ident: 2024070423593723600_B12 article-title: Tabix: fast retrieval of sequence features from generic TAB-delimited files publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq671 – volume: 104 start-page: 21 year: 2019 ident: 2024070423593723600_B25 article-title: Polygenic risk scores for prediction of breast cancer and breast cancer subtypes publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2018.11.002 – volume: 35 start-page: 316 year: 2017 ident: 2024070423593723600_B11 article-title: Nextflow enables reproducible computational workflows publication-title: Nat. Biotechnol. doi: 10.1038/nbt.3820
SSID	ssj0014154
Score	2.5071282
Snippet	Polygenic scores (PGS) enable the prediction of genetic predisposition for a wide range of traits and diseases by calculating the weighted sum of allele...
SourceID	pubmedcentral proquest pubmed crossref
SourceType	Open Access Repository Aggregation Database Index Database Enrichment Source
StartPage	W70
SubjectTerms	Alleles Genetic Predisposition to Disease Genetic Risk Score Genome-Wide Association Study - methods Genotype Humans Internet Multifactorial Inheritance - genetics Polymorphism, Single Nucleotide Software Web Server Issue
Title	Imputation Server PGS: an automated approach to calculate polygenic risk scores on imputation servers
URI	https://www.ncbi.nlm.nih.gov/pubmed/38709879 https://www.proquest.com/docview/3051939730 https://pubmed.ncbi.nlm.nih.gov/PMC11223871
Volume	52
WOSCitedRecordID	wos001216091900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1362-4962 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014154 issn: 0305-1048 databaseCode: DOA dateStart: 20050101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVASL databaseName: Oxford Journals Open Access Collection customDbUrl: eissn: 1362-4962 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014154 issn: 0305-1048 databaseCode: TOX dateStart: 19960101 isFulltext: true titleUrlDefault: https://academic.oup.com/journals/ providerName: Oxford University Press
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLa6gQQvCDYu5VIZaeKBKayNk9jmrZooIE1lEkXrW-Q6DlQb7tSm0_aH-J0cX-Kk2x7GAy9VlcZWm_P1-Dv2Od9BaK8kEG-lsYrKpC-jpMjSiEvOI1WUfVEYRXVpRVyP6HjMplN-3On8qWthLs6o1uzykp__V1PDNTC2KZ39B3OHSeECvAejwyuYHV7vZPivpk2DCI5ALfePP3-3Nc16X6yrBVBUIJm1lrjhnmAmk41aKdOy4QomNrLOJuV8ZTQu7XnCvJl0ZSddtVnt2IgiG-FXOS_MMURrh8w1AHG4OFqfikDhJxAArHVT5d5kBo0EeOBmZ7_JEwi7QEMjzFX5_Fy_ZREnNr01bXk2YuVPncTmB-U8ry3f4puuOY1bEDwZtBztiWs34tfsE9cK5sZy4KSytElVH_08FaquDtuQ3b62HIYkRXc8T3IYnvvBW-heTFNuvOfk2zScVgEJcjJl_mf5OlAYfACDD_zgTeZzI5y5npXbojmTx-iRj0_w0OHqCeoovYN2h2CIxe8r_A7bjGF7FLODHhzW3QJ3kWpghx3sMMDuIxYaB9DhGnS4WuAAOhxAhw3osAMdhnka0GEPuqfox-jT5PBL5Ft4RJKwuIqKjAmZJRQcxUCkTFGgQwoYZDrLCiFYKYkiKVFyRmMyEwToZ5EkSckoZTNeCkqeoW290OoFwhAJ86JfqiwlwPrjwSzLFAyiGVdG1FJ20fv68ebS69ubNitn-S2G7KK9cPO5k3W5_ba3tZ1yeJ7mLE1otVivcmJDHw7rYxc9d3YLExFYAzmjvIvYhkXDDUbSffMTPf9lpd0h-gEOTQcv7_b9XqGHzf_rNdqulmv1Bt2XF9V8teyhLTplPbvL1LOA_QtA3Mt7
linkProvider	Oxford University Press
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Imputation+Server+PGS%3A+an+automated+approach+to+calculate+polygenic+risk+scores+on+imputation+servers&rft.jtitle=Nucleic+acids+research&rft.au=Forer%2C+Lukas&rft.au=Taliun%2C+Daniel&rft.au=LeFaive%2C+Jonathon&rft.au=Smith%2C+Albert+V&rft.date=2024-07-05&rft.issn=0305-1048&rft.eissn=1362-4962&rft.volume=52&rft.issue=W1&rft.spage=W70&rft.epage=W77&rft_id=info:doi/10.1093%2Fnar%2Fgkae331&rft.externalDBID=n%2Fa&rft.externalDocID=10_1093_nar_gkae331
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0305-1048&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0305-1048&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0305-1048&client=summon