A polygenic risk score for multiple myeloma risk prediction

  1. Canzian, Federico ORCID logo
  2. Piredda, Chiara
  3. Macauda, Angelica
  4. Zawirska, Daria
  5. Andersen, Niels Frost
  6. Nagler, Arnon
  7. Zaucha, Jan Maciej
  8. Mazur, Grzegorz ORCID logo
  9. Dumontet, Charles
  10. Wątek, Marzena
  11. Jamroziak, Krzysztof
  12. SAINZ, JUAN ORCID logo
  13. Várkonyi, Judit
  14. Butrym, Aleksandra
  15. Beider, Katia
  16. Abildgaard, Niels
  17. Lesueur, Fabienne ORCID logo
  18. Dudziński, Marek
  19. Vangsted, Annette Juul ORCID logo
  20. Pelosini, Matteo
  21. Subocz, Edyta
  22. Petrini, Mario
  23. Buda, Gabriele
  24. Raźny, Małgorzata
  25. Gemignani, Federica
  26. Marques, Herlander
  27. Orciuolo, Enrico
  28. Kadar, Katalin
  29. Jurczyszyn, Artur ORCID logo
  30. Druzd-Sitek, Agnieszka
  31. Vogel, Ulla ORCID logo
  32. Andersen, Vibeke
  33. Reis, Rui Manuel
  34. Suska, Anna ORCID logo
  35. Avet-Loiseau, Hervé
  36. Kruszewski, Marcin
  37. Tomczak, Waldemar ORCID logo
  38. Rymko, Marcin
  39. Minvielle, Stéphane ORCID logo
  40. Campa, Daniele

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1000 Titel
  • A polygenic risk score for multiple myeloma risk prediction
1000 Autor/in
  1. Canzian, Federico |
  2. Piredda, Chiara |
  3. Macauda, Angelica |
  4. Zawirska, Daria |
  5. Andersen, Niels Frost |
  6. Nagler, Arnon |
  7. Zaucha, Jan Maciej |
  8. Mazur, Grzegorz |
  9. Dumontet, Charles |
  10. Wątek, Marzena |
  11. Jamroziak, Krzysztof |
  12. SAINZ, JUAN |
  13. Várkonyi, Judit |
  14. Butrym, Aleksandra |
  15. Beider, Katia |
  16. Abildgaard, Niels |
  17. Lesueur, Fabienne |
  18. Dudziński, Marek |
  19. Vangsted, Annette Juul |
  20. Pelosini, Matteo |
  21. Subocz, Edyta |
  22. Petrini, Mario |
  23. Buda, Gabriele |
  24. Raźny, Małgorzata |
  25. Gemignani, Federica |
  26. Marques, Herlander |
  27. Orciuolo, Enrico |
  28. Kadar, Katalin |
  29. Jurczyszyn, Artur |
  30. Druzd-Sitek, Agnieszka |
  31. Vogel, Ulla |
  32. Andersen, Vibeke |
  33. Reis, Rui Manuel |
  34. Suska, Anna |
  35. Avet-Loiseau, Hervé |
  36. Kruszewski, Marcin |
  37. Tomczak, Waldemar |
  38. Rymko, Marcin |
  39. Minvielle, Stéphane |
  40. Campa, Daniele |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-11-30
1000 Erschienen in
1000 Quellenangabe
  • 30(4):474-479
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41431-021-00986-8 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991223/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • There is overwhelming epidemiologic evidence that the risk of multiple myeloma (MM) has a solid genetic background. Genome-wide association studies (GWAS) have identified 23 risk loci that contribute to the genetic susceptibility of MM, but have low individual penetrance. Combining the SNPs in a polygenic risk score (PRS) is a possible approach to improve their usefulness. Using 2361 MM cases and 1415 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium, we computed a weighted and an unweighted PRS. We observed associations with MM risk with OR = 3.44, 95% CI 2.53-4.69, p = 3.55 × 10
1000 Sacherschließung
lokal Genetic Predisposition to Disease [MeSH]
lokal Article
lokal Polymorphism, Single Nucleotide [MeSH]
lokal Humans [MeSH]
lokal Cancer epidemiology
lokal Multiple Myeloma/diagnosis [MeSH]
lokal Risk Factors [MeSH]
lokal Cancer genomics
lokal Multiple Myeloma/genetics [MeSH]
lokal Genome-Wide Association Study [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-4261-4583|https://frl.publisso.de/adhoc/uri/UGlyZWRkYSwgQ2hpYXJh|https://frl.publisso.de/adhoc/uri/TWFjYXVkYSwgQW5nZWxpY2E=|https://frl.publisso.de/adhoc/uri/WmF3aXJza2EsIERhcmlh|https://frl.publisso.de/adhoc/uri/QW5kZXJzZW4sIE5pZWxzIEZyb3N0|https://frl.publisso.de/adhoc/uri/TmFnbGVyLCBBcm5vbg==|https://frl.publisso.de/adhoc/uri/WmF1Y2hhLCBKYW4gTWFjaWVq|https://orcid.org/0000-0001-6610-2008|https://frl.publisso.de/adhoc/uri/RHVtb250ZXQsIENoYXJsZXM=|https://frl.publisso.de/adhoc/uri/V8SFdGVrLCBNYXJ6ZW5h|https://frl.publisso.de/adhoc/uri/SmFtcm96aWFrLCBLcnp5c3p0b2Y=|https://orcid.org/0000-0002-9355-2423|https://frl.publisso.de/adhoc/uri/VsOhcmtvbnlpLCBKdWRpdA==|https://frl.publisso.de/adhoc/uri/QnV0cnltLCBBbGVrc2FuZHJh|https://frl.publisso.de/adhoc/uri/QmVpZGVyLCBLYXRpYQ==|https://frl.publisso.de/adhoc/uri/QWJpbGRnYWFyZCwgTmllbHM=|https://orcid.org/0000-0001-7404-4549|https://frl.publisso.de/adhoc/uri/RHVkemnFhHNraSwgTWFyZWs=|https://orcid.org/0000-0002-2131-731X|https://frl.publisso.de/adhoc/uri/UGVsb3NpbmksIE1hdHRlbw==|https://frl.publisso.de/adhoc/uri/U3Vib2N6LCBFZHl0YQ==|https://frl.publisso.de/adhoc/uri/UGV0cmluaSwgTWFyaW8=|https://frl.publisso.de/adhoc/uri/QnVkYSwgR2FicmllbGU=|https://frl.publisso.de/adhoc/uri/UmHFum55LCBNYcWCZ29yemF0YQ==|https://frl.publisso.de/adhoc/uri/R2VtaWduYW5pLCBGZWRlcmljYQ==|https://frl.publisso.de/adhoc/uri/TWFycXVlcywgSGVybGFuZGVy|https://frl.publisso.de/adhoc/uri/T3JjaXVvbG8sIEVucmljbw==|https://frl.publisso.de/adhoc/uri/S2FkYXIsIEthdGFsaW4=|https://orcid.org/0000-0001-9796-8365|https://frl.publisso.de/adhoc/uri/RHJ1emQtU2l0ZWssIEFnbmllc3prYQ==|https://orcid.org/0000-0001-6807-1524|https://frl.publisso.de/adhoc/uri/QW5kZXJzZW4sIFZpYmVrZQ==|https://frl.publisso.de/adhoc/uri/UmVpcywgUnVpIE1hbnVlbA==|https://orcid.org/0000-0002-8260-6772|https://frl.publisso.de/adhoc/uri/QXZldC1Mb2lzZWF1LCBIZXJ2w6k=|https://frl.publisso.de/adhoc/uri/S3J1c3pld3NraSwgTWFyY2lu|https://orcid.org/0000-0002-3205-5781|https://frl.publisso.de/adhoc/uri/Unlta28sIE1hcmNpbg==|https://orcid.org/0000-0003-1389-312X|https://frl.publisso.de/adhoc/uri/Q2FtcGEsIERhbmllbGU=
1000 Hinweis
  • DeepGreen-ID: a981b8b1ee8d4c2c8f67f6588f3d94a8 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
  1. A polygenic risk score for multiple myeloma risk prediction
    A polygenic risk score for multiple myeloma risk prediction
1000 Objektart article
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1000 @id frl:6442762.rdf
1000 Erstellt am 2023-04-26T15:36:54.251+0200
1000 Erstellt von 322
1000 beschreibt frl:6442762
1000 Zuletzt bearbeitet 2023-10-19T13:22:51.145+0200
1000 Objekt bearb. Thu Oct 19 13:22:51 CEST 2023
1000 Vgl. frl:6442762
1000 Oai Id
  1. oai:frl.publisso.de:frl:6442762 |
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