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Transcriptome-Wide Association Analysis Identifies Novel 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 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,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187439/ https://www.ncbi.nlm.nih.gov/pubmed/37205487 http://dx.doi.org/10.1101/2023.05.04.23289526 |
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author | 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. |
author_facet | 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. |
author_sort | Chen, Dorothy M. |
collection | PubMed |
description | 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): EXOSC9, CCNA2, HIST1H2BN, RP11-182L21.6, and RP11-327J17.2. 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. |
format | Online Article Text |
id | pubmed-10187439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101874392023-05-17 Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer 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. medRxiv Article 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): EXOSC9, CCNA2, HIST1H2BN, RP11-182L21.6, and RP11-327J17.2. 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. Cold Spring Harbor Laboratory 2023-05-05 /pmc/articles/PMC10187439/ /pubmed/37205487 http://dx.doi.org/10.1101/2023.05.04.23289526 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article 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. Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer |
title | Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer |
title_full | Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer |
title_fullStr | Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer |
title_full_unstemmed | Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer |
title_short | Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer |
title_sort | transcriptome-wide association analysis identifies novel candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187439/ https://www.ncbi.nlm.nih.gov/pubmed/37205487 http://dx.doi.org/10.1101/2023.05.04.23289526 |
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