{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["30(4)"],"submitter":["Canzian F"],"pubmed_abstract":["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<sup>-15</sup> for the highest vs. lowest quintile of the weighted score, and OR = 3.18, 95% CI 2.1 = 34-4.33, p = 1.62 × 10<sup>-13</sup> for the highest vs. lowest quintile of the un"],"journal":["European journal of human genetics : EJHG"],"pagination":["474-479"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8991223"],"repository":["biostudies-literature"],"pubmed_title":["A polygenic risk score for multiple myeloma risk prediction."],"pmcid":["PMC8991223"],"pubmed_authors":["Vangsted AJ","Druzd-Sitek A","Andersen V","Watek M","Lesueur F","Butrym A","Petrini M","Varkonyi J","Beider K","Vogel U","Macauda A","Andersen NF","Sainz J","Dudzinski M","Marques H","Kruszewski M","Rymko M","Jurczyszyn A","Kadar K","Zaucha JM","Jamroziak K","Gemignani F","Dumontet C","Abildgaard N","Pelosini M","Buda G","Reis RM","Subocz E","Orciuolo E","Razny M","Piredda C","Tomczak W","Mazur G","Nagler A","Suska A","Avet-Loiseau H","Zawirska D","Canzian F","Minvielle S","Campa D"],"additional_accession":[]},"is_claimable":false,"name":"A polygenic risk score for multiple myeloma risk prediction.","description":"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<sup>-15</sup> for the highest vs. lowest quintile of the weighted score, and OR = 3.18, 95% CI 2.1 = 34-4.33, p = 1.62 × 10<sup>-13</sup> for the highest vs. lowest quintile of the un","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2026-05-30T15:28:12.168Z","creation":"2025-04-04T10:02:19.694Z"},"accession":"S-EPMC8991223","cross_references":{"pubmed":["34845334"],"doi":["10.1038/s41431-021-00986-8"]}}