Genome-wide polygenic risk scores predict risk of glioma and molecular subtypes

Abstract Background Polygenic risk scores (PRS) aggregate the contribution of many risk variants to provide a personalized genetic susceptibility profile. Since sample sizes of glioma genome-wide association studies (GWAS) remain modest, there is a need to efficiently capture genetic risk using avai...

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Veröffentlicht in:	Neuro-oncology (Charlottesville, Va.) Va.), 2024-10, Vol.26 (10), p.1933-1944
Hauptverfasser:	Nakase, Taishi, Guerra, Geno A, Ostrom, Quinn T, Ge, Tian, Melin, Beatrice S, Wrensch, Margaret, Wiencke, John K, Jenkins, Robert B, Eckel-Passow, Jeanette E, Bondy, Melissa L, Francis, Stephen S, Kachuri, Linda
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Biomarkers, Tumor - genetics Brain Neoplasms - genetics Brain Neoplasms - pathology Case-Control Studies Female Genetic Predisposition to Disease Genetic Risk Score genetic susceptibility Genome-Wide Association Study glioma Glioma - genetics Glioma - pathology Humans Male Middle Aged Multifactorial Inheritance polygenic risk score (PRS) Polymorphism, Single Nucleotide prediction Prognosis risk Risk Factors
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Zusammenfassung:	Abstract Background Polygenic risk scores (PRS) aggregate the contribution of many risk variants to provide a personalized genetic susceptibility profile. Since sample sizes of glioma genome-wide association studies (GWAS) remain modest, there is a need to efficiently capture genetic risk using available data. Methods We applied a method based on continuous shrinkage priors (PRS-CS) to model the joint effects of over 1 million common variants on disease risk and compared this to an approach (PRS-CT) that only selects a limited set of independent variants that reach genome-wide significance (P
ISSN:	1522-8517 1523-5866 1523-5866
DOI:	10.1093/neuonc/noae112