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How Well do Polygen...
How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis
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- Siltari, A. (författare)
- University of Helsinki,University of Tampere
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- Lönnerbro, R. (författare)
- Lund University
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- Evans-Axelsson, S. (författare)
- Lund University,Lunds universitet,Urologisk cancerforskning, Malmö,Forskargrupper vid Lunds universitet,Urological cancer, Malmö,Lund University Research Groups
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- Bjartell, A. (författare)
- Lund University,Lunds universitet,Avdelningen för translationell cancerforskning,Institutionen för laboratoriemedicin,Medicinska fakulteten,Urologisk cancerforskning, Malmö,Forskargrupper vid Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Division of Translational Cancer Research,Department of Laboratory Medicine,Faculty of Medicine,Urological cancer, Malmö,Lund University Research Groups,LUCC: Lund University Cancer Centre,Other Strong Research Environments
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Kotik, D. (författare)
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(creator_code:org_t)
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- Elsevier BV, 2023
- 2023
- Engelska.
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Ingår i: Clinical Genitourinary Cancer. - : Elsevier BV. - 1558-7673. ; 21:2, s. 1-316
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Objectives: Genome-wide association studies have revealed over 200 genetic susceptibility loci for prostate cancer (PCa). By combining them, polygenic risk scores (PRS) can be generated to predict risk of PCa. We summarize the published evidence and conduct meta-analyses of PRS as a predictor of PCa risk in Caucasian men. Patients and methods: Data were extracted from 59 studies, with 16 studies including 17 separate analyses used in the main meta-analysis with a total of 20,786 cases and 69,106 controls identified through a systematic search of ten databases. Random effects meta-analysis was used to obtain pooled estimates of area under the receiver-operating characteristic curve (AUC). Meta-regression was used to assess the impact of number of single-nucleotide polymorphisms (SNPs) incorporated in PRS on AUC. Heterogeneity is expressed as I2 scores. Publication bias was evaluated using funnel plots and Egger tests. Results: The ability of PRS to identify men with PCa was modest (pooled AUC 0.63, 95% CI 0.62-0.64) with moderate consistency (I2 64%). Combining PRS with clinical variables increased the pooled AUC to 0.74 (0.68-0.81). Meta-regression showed only negligible increase in AUC for adding incremental SNPs. Despite moderate heterogeneity, publication bias was not evident. Conclusion: Typically, PRS accuracy is comparable to PSA or family history with a pooled AUC value 0.63 indicating mediocre performance for PRS alone. © 2022
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- Genetic variance
- Polygenic risk score
- Prostate cancer risk
- Single-nucleotide polymorphism
- genetic predisposition
- genetics
- genome-wide association study
- human
- male
- meta analysis
- prostate tumor
- risk factor
- single nucleotide polymorphism
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Male
- Polymorphism, Single Nucleotide
- Prostatic Neoplasms
- Risk Factors
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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