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A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk.

International journal of cancer

Liu D, Zhu J, Zhou D, Nikas EG, Mitanis NT, Sun Y, Wu C, Mancuso N, Cox NJ, Wang L, Freedland SJ, Haiman CA, Gamazon ER, Nikas JB, Wu L.
PMID: 34520569
Int J Cancer. 2022 Jan 01;150(1):80-90. doi: 10.1002/ijc.33808. Epub 2021 Sep 25.

A large proportion of heritability for prostate cancer risk remains unknown. Transcriptome-wide association study combined with validation comparing overall levels will help to identify candidate genes potentially playing a role in prostate cancer development. Using data from the Genotype-Tissue...

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Liu D, Zhu J, Zhou D, et al. A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk. Int J Cancer. 2021;150(1):80-90doi: 10.1002/ijc.33808.
Liu, D., Zhu, J., Zhou, D., Nikas, E. G., Mitanis, N. T., Sun, Y., Wu, C., Mancuso, N., Cox, N. J., Wang, L., Freedland, S. J., Haiman, C. A., Gamazon, E. R., Nikas, J. B., & Wu, L. (2022). A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk. International journal of cancer, 150(1), 80-90. https://doi.org/10.1002/ijc.33808
Liu, Duo, et al. "A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk." International journal of cancer vol. 150,1 (2022): 80-90. doi: https://doi.org/10.1002/ijc.33808
Liu D, Zhu J, Zhou D, Nikas EG, Mitanis NT, Sun Y, Wu C, Mancuso N, Cox NJ, Wang L, Freedland SJ, Haiman CA, Gamazon ER, Nikas JB, Wu L. A transcriptome-wide association study identifies novel candidate susceptibility genes for prostate cancer risk. Int J Cancer. 2022 Jan 01;150(1):80-90. doi: 10.1002/ijc.33808. Epub 2021 Sep 25. PMID: 34520569; PMCID: PMC8595764.
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Exhaustive screens for disease susceptibility loci incorporating statistical interaction of genotypes: a comparison of likelihood-ratio-based and Akaike and Bayesian information criteria-based methods.

BMC proceedings

Gu F, Monsees G, Kraft P.
PMID: 18466522
BMC Proc. 2007;1:S25. doi: 10.1186/1753-6561-1-s1-s25. Epub 2007 Dec 18.

Several recent papers have suggested that two-locus tests of association that incorporate gene x gene interaction can be more powerful than marginal, single-locus tests across a broad range of multilocus interaction models, even after conservative correction for multiple testing....

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Gu F, Monsees G, Kraft P. Exhaustive screens for disease susceptibility loci incorporating statistical interaction of genotypes: a comparison of likelihood-ratio-based and Akaike and Bayesian information criteria-based methods. BMC Proc. 2007;1:S25doi: 10.1186/1753-6561-1-s1-s25.
Gu, F., Monsees, G., & Kraft, P. (2007). Exhaustive screens for disease susceptibility loci incorporating statistical interaction of genotypes: a comparison of likelihood-ratio-based and Akaike and Bayesian information criteria-based methods. BMC proceedings, 1S25. https://doi.org/10.1186/1753-6561-1-s1-s25
Gu, Fangyi, et al. "Exhaustive screens for disease susceptibility loci incorporating statistical interaction of genotypes: a comparison of likelihood-ratio-based and Akaike and Bayesian information criteria-based methods." BMC proceedings vol. 1 (2007): S25. doi: https://doi.org/10.1186/1753-6561-1-s1-s25
Gu F, Monsees G, Kraft P. Exhaustive screens for disease susceptibility loci incorporating statistical interaction of genotypes: a comparison of likelihood-ratio-based and Akaike and Bayesian information criteria-based methods. BMC Proc. 2007;1:S25. doi: 10.1186/1753-6561-1-s1-s25. Epub 2007 Dec 18. PMID: 18466522; PMCID: PMC2367520.
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Association of prostate cancer risk variants with gene expression in normal and tumor tissue.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Penney KL, Sinnott JA, Tyekucheva S, Gerke T, Shui IM, Kraft P, Sesso HD, Freedman ML, Loda M, Mucci LA, Stampfer MJ.
PMID: 25371445
Cancer Epidemiol Biomarkers Prev. 2015 Jan;24(1):255-60. doi: 10.1158/1055-9965.EPI-14-0694-T. Epub 2014 Nov 04.

BACKGROUND: Numerous germline genetic variants are associated with prostate cancer risk, but their biologic role is not well understood. One possibility is that these variants influence gene expression in prostate tissue. We therefore examined the association of prostate cancer...

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Penney KL, Sinnott JA, Tyekucheva S, et al. Association of prostate cancer risk variants with gene expression in normal and tumor tissue. Cancer Epidemiol Biomarkers Prev. 2014;24(1):255-60doi: 10.1158/1055-9965.EPI-14-0694-T.
Penney, K. L., Sinnott, J. A., Tyekucheva, S., Gerke, T., Shui, I. M., Kraft, P., Sesso, H. D., Freedman, M. L., Loda, M., Mucci, L. A., & Stampfer, M. J. (2015). Association of prostate cancer risk variants with gene expression in normal and tumor tissue. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 24(1), 255-60. https://doi.org/10.1158/1055-9965.EPI-14-0694-T
Penney, Kathryn L, et al. "Association of prostate cancer risk variants with gene expression in normal and tumor tissue." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 24,1 (2015): 255-60. doi: https://doi.org/10.1158/1055-9965.EPI-14-0694-T
Penney KL, Sinnott JA, Tyekucheva S, Gerke T, Shui IM, Kraft P, Sesso HD, Freedman ML, Loda M, Mucci LA, Stampfer MJ. Association of prostate cancer risk variants with gene expression in normal and tumor tissue. Cancer Epidemiol Biomarkers Prev. 2015 Jan;24(1):255-60. doi: 10.1158/1055-9965.EPI-14-0694-T. Epub 2014 Nov 04. PMID: 25371445; PMCID: PMC4294966.
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Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Toth R, Scherer D, Kelemen LE, Risch A, Hazra A, Balavarca Y, Issa JJ, Moreno V, Eeles RA, Ogino S, Wu X, Ye Y, Hung RJ, Goode EL, Ulrich CM.
PMID: 28115406
Cancer Epidemiol Biomarkers Prev. 2017 Jun;26(6):816-825. doi: 10.1158/1055-9965.EPI-16-0728. Epub 2017 Jan 23.

No abstract available.

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Toth R, Scherer D, Kelemen LE, et al. Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiol Biomarkers Prev. 2017;26(6):816-825doi: 10.1158/1055-9965.EPI-16-0728.
Toth, R., Scherer, D., Kelemen, L. E., Risch, A., Hazra, A., Balavarca, Y., Issa, J. J., Moreno, V., Eeles, R. A., Ogino, S., Wu, X., Ye, Y., Hung, R. J., Goode, E. L., Ulrich, C. M. (2017). Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 26(6), 816-825. https://doi.org/10.1158/1055-9965.EPI-16-0728
Toth, Reka, et al. "Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. 26,6 (2017): 816-825. doi: https://doi.org/10.1158/1055-9965.EPI-16-0728
Toth R, Scherer D, Kelemen LE, Risch A, Hazra A, Balavarca Y, Issa JJ, Moreno V, Eeles RA, Ogino S, Wu X, Ye Y, Hung RJ, Goode EL, Ulrich CM. Genetic Variants in Epigenetic Pathways and Risks of Multiple Cancers in the GAME-ON Consortium. Cancer Epidemiol Biomarkers Prev. 2017 Jun;26(6):816-825. doi: 10.1158/1055-9965.EPI-16-0728. Epub 2017 Jan 23. PMID: 28115406; PMCID: PMC6054308.
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Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer.

Cancer communications (London, England)

Wu C, Zhu J, King A, Tong X, Lu Q, Park JY, Wang L, Gao G, Deng HW, Yang Y, Knudsen KE, Rebbeck TR, Long J, Zheng W, Pan W, Conti DV, Haiman CA, Wu L.
PMID: 34520132
Cancer Commun (Lond). 2021 Dec;41(12):1387-1397. doi: 10.1002/cac2.12205. Epub 2021 Sep 14.

BACKGROUND: DNA methylation and gene expression are known to play important roles in the etiology of human diseases such as prostate cancer (PCa). However, it has not yet been possible to incorporate information of DNA methylation and gene expression...

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Wu C, Zhu J, King A, et al. Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer. Cancer Commun (Lond). 2021;41(12):1387-1397doi: 10.1002/cac2.12205.
Wu, C., Zhu, J., King, A., Tong, X., Lu, Q., Park, J. Y., Wang, L., Gao, G., Deng, H. W., Yang, Y., Knudsen, K. E., Rebbeck, T. R., Long, J., Zheng, W., Pan, W., Conti, D. V., Haiman, C. A., & Wu, L. (2021). Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer. Cancer communications (London, England), 41(12), 1387-1397. https://doi.org/10.1002/cac2.12205
Wu, Chong, et al. "Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer." Cancer communications (London, England) vol. 41,12 (2021): 1387-1397. doi: https://doi.org/10.1002/cac2.12205
Wu C, Zhu J, King A, Tong X, Lu Q, Park JY, Wang L, Gao G, Deng HW, Yang Y, Knudsen KE, Rebbeck TR, Long J, Zheng W, Pan W, Conti DV, Haiman CA, Wu L. Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi-phased study of prostate cancer. Cancer Commun (Lond). 2021 Dec;41(12):1387-1397. doi: 10.1002/cac2.12205. Epub 2021 Sep 14. PMID: 34520132; PMCID: PMC8696216.
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Showing 1 to 5 of 5 entries