全转录组关联分析发现未患前列腺癌男性前列腺特异性抗原水平的候选易感基因

IF 3.3 Q2 GENETICS & HEREDITY
HGG Advances Pub Date : 2024-07-18 Epub Date: 2024-06-06 DOI:10.1016/j.xhgg.2024.100315
Dorothy M Chen, Ruocheng Dong, Linda Kachuri, Thomas J Hoffmann, Yu Jiang, Sonja I Berndt, John P Shelley, Kerry R Schaffer, Mitchell J Machiela, Neal D Freedman, Wen-Yi Huang, Shengchao A Li, Hans Lilja, Amy C Justice, Ravi K Madduri, Alex A Rodriguez, Stephen K Van Den Eeden, Stephen J Chanock, Christopher A Haiman, David V Conti, Robert J Klein, Jonathan D Mosley, John S Witte, Rebecca E Graff
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引用次数: 0

摘要

破译前列腺特异性抗原(PSA)水平的遗传基础可提高其在前列腺癌(PCa)筛查中的实用性。利用 95,768 名未患 PCa 的男性的全基因组汇总统计数据,我们进行了一项全转录组关联研究 (TWAS),以研究基因预测基因表达对 PSA 的影响。分析在全血中发现了 41 个具有统计学意义(p < 0.05/12,192 = 4.10×10-6)的关联基因,在前列腺组织中发现了 39 个具有统计学意义(p < 0.05/13,844 = 3.61×10-6)的关联基因,其中 18 个基因在两种组织中都有关联。跨组织分析发现了 155 个具有统计学意义(p < 0.05/22,249 = 2.25×10-6)的基因。在跨组织分析的 173 个与 PSA 相关的独特基因中,有 151 个(87.3%)在 "百万退伍军人计划"(Million Veteran Program)的 209318 例无 PCa 患者的 TWAS 中得到了复制。根据条件分析,我们在发现性TWAS中发现了20个与PSA水平相关的基因(11个单组织基因,9个跨组织基因),这些基因与全基因组关联研究(GWAS)中的先导变异无关。这 20 个基因中有 10 个得到了复制,其中两个基因的共定位概率大于 0.5:CCNA2 和 HIST1H2BN。在这 20 个已发现的基因中,有 6 个基因对 PCa 风险的影响尚不清楚。基于全血和前列腺组织的精细图谱显示,有五个蛋白编码基因有证据表明与 PSA 水平存在因果关系。在这五个基因中,有四个基因显示了共定位的证据,有一个基因与之前的 GWAS 发现有条件地独立。这些结果提出了应进一步探讨的假设,以加深对PSA水平遗传因素的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer.

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 × 10-6) associations in whole blood and 39 statistically significant (p < 0.05/13,844 = 3.61 × 10-6) 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 × 10-6) 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.

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来源期刊
HGG Advances
HGG Advances Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
4.30
自引率
4.50%
发文量
69
审稿时长
14 weeks
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