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全转录组关联分析确定了无前列腺癌男性前列腺特异性抗原水平的新型候选易感基因。

Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer.

作者信息

Chen Dorothy M, Dong Ruocheng, Kachuri Linda, Hoffmann Thomas, Jiang Yu, Berndt Sonja I, Shelley John P, Schaffer Kerry R, Machiela Mitchell J, Freedman Neal D, Huang Wen-Yi, Li Shengchao A, Lilja Hans, Van Den Eeden Stephen K, Chanock Stephen, Haiman Christopher A, Conti David V, Klein Robert J, Mosley Jonathan D, Witte John S, Graff Rebecca E

机构信息

Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, 94158, USA.

Department of Epidemiology and Population Health, Stanford University, Stanford, CA, 94305, USA.

出版信息

medRxiv. 2023 May 5:2023.05.04.23289526. doi: 10.1101/2023.05.04.23289526.

Abstract

Deciphering the genetic basis of prostate-specific antigen (PSA) levels may improve their utility to screen for prostate cancer (PCa). We thus conducted a transcriptome-wide association study (TWAS) of PSA levels using genome-wide summary statistics from 95,768 PCa-free men, the MetaXcan framework, and gene prediction models trained in Genotype-Tissue Expression (GTEx) project data. Tissue-specific analyses identified 41 statistically significant (p < 0.05/12,192 = 4.10e-6) associations in whole blood and 39 statistically significant (p < 0.05/13,844 = 3.61e-6) associations in prostate tissue, with 18 genes associated in both tissues. Cross-tissue analyses that combined associations across 45 tissues identified 155 genes that were statistically significantly (p < 0.05/22,249 = 2.25e-6) associated with PSA levels. Based on conditional analyses that assessed whether TWAS associations were attributable to a lead GWAS variant, we found 20 novel genes (11 single-tissue, 9 cross-tissue) that were associated with PSA levels in the TWAS. Of these novel genes, five showed evidence of colocalization (colocalization probability > 0.5): and Six of the 20 novel genes are not known to impact PCa risk. These findings yield new hypotheses for genetic factors underlying PSA levels that should be further explored toward improving our understanding of PSA biology.

摘要

解析前列腺特异性抗原(PSA)水平的遗传基础可能会提高其在前列腺癌(PCa)筛查中的效用。因此,我们使用来自95768名无PCa男性的全基因组汇总统计数据、MetaXcan框架以及在基因型-组织表达(GTEx)项目数据中训练的基因预测模型,对PSA水平进行了全转录组关联研究(TWAS)。组织特异性分析在全血中鉴定出41个具有统计学意义(p < 0.05/12192 = 4.10e - 6)的关联,在前列腺组织中鉴定出39个具有统计学意义(p < 0.05/13844 = 3.61e - 6)的关联,其中有18个基因在两种组织中均有关联。跨组织分析结合了45种组织中的关联,鉴定出155个与PSA水平具有统计学显著关联(p < 0.05/22249 = 2.25e - 6)的基因。基于评估TWAS关联是否归因于主要全基因组关联研究(GWAS)变体的条件分析,我们在TWAS中发现了20个与PSA水平相关的新基因(11个单组织基因,9个跨组织基因)。在这些新基因中,有5个显示出共定位的证据(共定位概率> 0.5): 以及 20个新基因中有6个未知会影响PCa风险。这些发现为PSA水平潜在的遗传因素提出了新的假设,应进一步探索以增进我们对PSA生物学的理解。

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