{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Huynh-Le MP"],"funding":["NIBIB NIH HHS","Cancer Research UK","National Institute for Health Research (NIHR)","NCI NIH HHS"],"pagination":["755-761"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9372232"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(4)"],"pubmed_abstract":["<h4>Background</h4>Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets.<h4>Methods</h4>In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-th"],"journal":["Prostate cancer and prostatic diseases"],"pubmed_title":["Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score."],"pmcid":["PMC9372232"],"funding_grant_id":["NIHR201620","K08 EB026503","UG1 CA189974","29017","UM1 CA182883","18504"],"pubmed_authors":["Gamulin M","Abraham A","APCB (Australian Prostate Cancer BioResource)","Huff CD","Berndt SI","Teixeira MR","Lu YJ","Rosenstein BS","Lophatananon A","Huynh-Le MP","Grindedal EM","Koutros S","Nordestgaard BG","UKGPCS collaborators","Andreassen OA","Muir KR","Pashayan N","Neal DE","Wiklund F","Petrovics G","Wolk A","Crawford DC","Kote-Jarai Z","MacInnis RJ","Eeles RA","Ingles SA","Martinez ME","NC-LA PCaP Investigators","Claessens F","Zheng W","Razack A","Stanford JL","Ost P","Nielsen SF","Mucci LA","Brenner H","Neuhausen SL","Travis RC","Blot WJ","Leach RJ","Mills IG","Hu JJ","Seibert TM","Cussenot O","Tangen CM","Kibel AS","Sorensen KD","van Schaik RHN","Vega A","Karunamuni R","Fan CC","Thompson WK","Park JY","Newcomb LF","West CML","Watya S","Profile Study Steering Committee","Haiman CA","John EM","Fowke JH","Schleutker J","Townsend PA","Logothetis CJ","Kogevinas M","Multigner L","Menegaux F","Gronberg H","De Ruyck K","Albanes D","IMPACT Study Steering Committee and Collaborators","Batra J","Maier C","Castelao JE","Dale AM","Parent ME","Hamilton RJ","Penney KL","Kaneva R","Canary PASS Investigators","Asona L","PRACTICAL Consortium","Cybulski C"],"additional_accession":[]},"is_claimable":false,"name":"Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score.","description":"<h4>Background</h4>Prostate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets.<h4>Methods</h4>In total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-th","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2026-06-03T18:36:22.521Z","creation":"2026-04-30T03:11:17.056Z"},"accession":"S-EPMC9372232","cross_references":{"pubmed":["35152271"],"doi":["10.1038/s41391-022-00497-7"]}}