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全转录组关联分析鉴定出无前列腺癌男性前列腺特异性抗原水平的候选易感基因。

Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer.

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

HGG Adv. 2024 Jul 18;5(3):100315. doi: 10.1016/j.xhgg.2024.100315. Epub 2024 Jun 6.

Abstract

Deciphering the genetic basis of prostate-specific antigen (PSA) levels may improve their utility for prostate cancer (PCa) screening. Using genome-wide association study (GWAS) summary statistics from 95,768 PCa-free men, we conducted a transcriptome-wide association study (TWAS) to examine impacts of genetically predicted gene expression on PSA. Analyses identified 41 statistically significant (p < 0.05/12,192 = 4.10 × 10) associations in whole blood and 39 statistically significant (p < 0.05/13,844 = 3.61 × 10) associations in prostate tissue, with 18 genes associated in both tissues. Cross-tissue analyses identified 155 statistically significantly (p < 0.05/22,249 = 2.25 × 10) genes. Out of 173 unique PSA-associated genes across analyses, we replicated 151 (87.3%) in a TWAS of 209,318 PCa-free individuals from the Million Veteran Program. Based on conditional analyses, we found 20 genes (11 single tissue, nine cross-tissue) that were associated with PSA levels in the discovery TWAS that were not attributable to a lead variant from a GWAS. Ten of these 20 genes replicated, and two of the replicated genes had colocalization probability of >0.5: CCNA2 and HIST1H2BN. Six of the 20 identified genes are not known to impact PCa risk. Fine-mapping based on whole blood and prostate tissue revealed five protein-coding genes with evidence of causal relationships with PSA levels. Of these five genes, four exhibited evidence of colocalization and one was conditionally independent of previous GWAS findings. These results yield hypotheses that should be further explored to improve understanding of genetic factors underlying PSA levels.

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。我们使用来自 95768 名无前列腺癌男性的全基因组关联研究(GWAS)汇总统计数据,进行了转录组关联研究(TWAS),以研究遗传预测的基因表达对 PSA 的影响。分析在全血中鉴定出 41 个具有统计学意义的(p < 0.05/12192 = 4.10×10)关联,在前列腺组织中鉴定出 39 个具有统计学意义的(p < 0.05/13844 = 3.61×10)关联,有 18 个基因在两种组织中都有相关性。跨组织分析鉴定出 155 个具有统计学意义的(p < 0.05/22249 = 2.25×10)基因。在跨分析的 173 个独特的 PSA 相关基因中,我们在来自百万退伍军人计划的 209318 名无前列腺癌个体的 TWAS 中复制了 151 个(87.3%)。基于条件分析,我们发现 20 个基因(11 个单组织,9 个跨组织)在发现 TWAS 中与 PSA 水平相关,但与 GWAS 的一个主要变体无关。其中 10 个基因得到了复制,其中 2 个复制基因的 colocalization 概率大于 0.5:CCNA2 和 HIST1H2BN。这 20 个识别的基因中有 6 个与 PCa 风险无关。基于全血和前列腺组织的精细映射揭示了 5 个具有与 PSA 水平因果关系证据的蛋白质编码基因。这 5 个基因中,有 4 个表现出 colocalization 的证据,有 1 个是与之前的 GWAS 结果条件独立的。这些结果产生了假说,应该进一步探索,以提高对 PSA 水平遗传基础的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f1c/11262184/e48ef747f3bc/gr1.jpg

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