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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,...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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.
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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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