211 related articles for article (PubMed ID: 32397189)
1. Pathway Analysis of Genes Identified through Post-GWAS to Underpin Prostate Cancer Aetiology.
Farashi S; Kryza T; Batra J
Genes (Basel); 2020 May; 11(5):. PubMed ID: 32397189
[TBL] [Abstract][Full Text] [Related]
2. Post-GWAS in prostate cancer: from genetic association to biological contribution.
Farashi S; Kryza T; Clements J; Batra J
Nat Rev Cancer; 2019 Jan; 19(1):46-59. PubMed ID: 30538273
[TBL] [Abstract][Full Text] [Related]
3. Downstream targets of GWAS-detected genes for breast, lung, and prostate and colon cancer converge to G1/S transition pathway.
Gorlova OY; Demidenko EI; Amos CI; Gorlov IP
Hum Mol Genet; 2017 Apr; 26(8):1465-1471. PubMed ID: 28334950
[TBL] [Abstract][Full Text] [Related]
4. In silico functional pathway annotation of 86 established prostate cancer risk variants.
Loo LW; Fong AY; Cheng I; Le Marchand L
PLoS One; 2015; 10(2):e0117873. PubMed ID: 25658610
[TBL] [Abstract][Full Text] [Related]
5. Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer.
Jia P; Liu Y; Zhao Z
BMC Syst Biol; 2012; 6 Suppl 3(Suppl 3):S13. PubMed ID: 23281744
[TBL] [Abstract][Full Text] [Related]
6. Post genome-wide association studies functional characterization of prostate cancer risk loci.
Jiang J; Cui W; Vongsangnak W; Hu G; Shen B
BMC Genomics; 2013; 14 Suppl 8(Suppl 8):S9. PubMed ID: 24564736
[TBL] [Abstract][Full Text] [Related]
7. Genetic associations of breast and prostate cancer are enriched for regulatory elements identified in disease-related tissues.
Chen H; Kichaev G; Bien SA; MacDonald JW; Wang L; Bammler TK; Auer P; Pasaniuc B; Lindström S
Hum Genet; 2019 Oct; 138(10):1091-1104. PubMed ID: 31230194
[TBL] [Abstract][Full Text] [Related]
8. A Review of Prostate Cancer Genome-Wide Association Studies (GWAS).
Benafif S; Kote-Jarai Z; Eeles RA;
Cancer Epidemiol Biomarkers Prev; 2018 Aug; 27(8):845-857. PubMed ID: 29348298
[TBL] [Abstract][Full Text] [Related]
9. Identification of key DNA methylation-driven genes in prostate adenocarcinoma: an integrative analysis of TCGA methylation data.
Xu N; Wu YP; Ke ZB; Liang YC; Cai H; Su WT; Tao X; Chen SH; Zheng QS; Wei Y; Xue XY
J Transl Med; 2019 Sep; 17(1):311. PubMed ID: 31533842
[TBL] [Abstract][Full Text] [Related]
10. Convergent evidence from systematic analysis of GWAS revealed genetic basis of esophageal cancer.
Gao XX; Gao L; Wang JQ; Qu SS; Qu Y; Sun HL; Liu SD; Shang YL
Oncotarget; 2016 Jul; 7(28):44621-44629. PubMed ID: 27331408
[TBL] [Abstract][Full Text] [Related]
11. Genetic analysis of the principal genes related to prostate cancer: a review.
Alvarez-Cubero MJ; Saiz M; Martinez-Gonzalez LJ; Alvarez JC; Lorente JA; Cozar JM
Urol Oncol; 2013 Nov; 31(8):1419-29. PubMed ID: 23141781
[TBL] [Abstract][Full Text] [Related]
12. Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning.
Wu M; Zeng W; Liu W; Lv H; Chen T; Jiang R
Methods; 2018 Aug; 145():41-50. PubMed ID: 29874547
[TBL] [Abstract][Full Text] [Related]
13. Systematic pathway enrichment analysis of a genome-wide association study on breast cancer survival reveals an influence of genes involved in cell adhesion and calcium signaling on the patients' clinical outcome.
Woltmann A; Chen B; Lascorz J; Johansson R; Eyfjörd JE; Hamann U; Manjer J; Enquist-Olsson K; Henriksson R; Herms S; Hoffmann P; Hemminki K; Lenner P; Försti A
PLoS One; 2014; 9(6):e98229. PubMed ID: 24886783
[TBL] [Abstract][Full Text] [Related]
14. Circadian pathway genetic variation and cancer risk: evidence from genome-wide association studies.
Mocellin S; Tropea S; Benna C; Rossi CR
BMC Med; 2018 Feb; 16(1):20. PubMed ID: 29455641
[TBL] [Abstract][Full Text] [Related]
15. Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data.
Fernández-Tajes J; Gaulton KJ; van de Bunt M; Torres J; Thurner M; Mahajan A; Gloyn AL; Lage K; McCarthy MI
Genome Med; 2019 Mar; 11(1):19. PubMed ID: 30914061
[TBL] [Abstract][Full Text] [Related]
16. Epistasis network centrality analysis yields pathway replication across two GWAS cohorts for bipolar disorder.
Pandey A; Davis NA; White BC; Pajewski NM; Savitz J; Drevets WC; McKinney BA
Transl Psychiatry; 2012 Aug; 2(8):e154. PubMed ID: 22892719
[TBL] [Abstract][Full Text] [Related]
17. Pathway analysis of breast cancer genome-wide association study highlights three pathways and one canonical signaling cascade.
Menashe I; Maeder D; Garcia-Closas M; Figueroa JD; Bhattacharjee S; Rotunno M; Kraft P; Hunter DJ; Chanock SJ; Rosenberg PS; Chatterjee N
Cancer Res; 2010 Jun; 70(11):4453-9. PubMed ID: 20460509
[TBL] [Abstract][Full Text] [Related]
18. Construction and analysis of mRNA, miRNA, lncRNA, and TF regulatory networks reveal the key genes associated with prostate cancer.
Ye Y; Li SL; Wang SY
PLoS One; 2018; 13(8):e0198055. PubMed ID: 30138363
[TBL] [Abstract][Full Text] [Related]
19. Gene regulatory mechanisms underpinning prostate cancer susceptibility.
Whitington T; Gao P; Song W; Ross-Adams H; Lamb AD; Yang Y; Svezia I; Klevebring D; Mills IG; Karlsson R; Halim S; Dunning MJ; Egevad L; Warren AY; Neal DE; Grönberg H; Lindberg J; Wei GH; Wiklund F
Nat Genet; 2016 Apr; 48(4):387-97. PubMed ID: 26950096
[TBL] [Abstract][Full Text] [Related]
20. Identification of shared and unique susceptibility pathways among cancers of the lung, breast, and prostate from genome-wide association studies and tissue-specific protein interactions.
Qian DC; Byun J; Han Y; Greene CS; Field JK; Hung RJ; Brhane Y; Mclaughlin JR; Fehringer G; Landi MT; Rosenberger A; Bickeböller H; Malhotra J; Risch A; Heinrich J; Hunter DJ; Henderson BE; Haiman CA; Schumacher FR; Eeles RA; Easton DF; Seminara D; Amos CI
Hum Mol Genet; 2015 Dec; 24(25):7406-20. PubMed ID: 26483192
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]