These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

701 related articles for article (PubMed ID: 25393678)

  • 1. GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation.
    Chung D; Yang C; Li C; Gelernter J; Zhao H
    PLoS Genet; 2014 Nov; 10(11):e1004787. PubMed ID: 25393678
    [TBL] [Abstract][Full Text] [Related]  

  • 2. graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture.
    Chung D; Kim HJ; Zhao H
    PLoS Comput Biol; 2017 Feb; 13(2):e1005388. PubMed ID: 28212402
    [TBL] [Abstract][Full Text] [Related]  

  • 3. multi-GPA-Tree: Statistical approach for pleiotropy informed and functional annotation tree guided prioritization of GWAS results.
    Khatiwada A; Yilmaz AS; Wolf BJ; Pietrzak M; Chung D
    PLoS Comput Biol; 2023 Dec; 19(12):e1011686. PubMed ID: 38060592
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPA.
    Kim HJ; Yu Z; Lawson A; Zhao H; Chung D
    Bioinformatics; 2018 Jun; 34(12):2139-2141. PubMed ID: 29432514
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data.
    Masotti M; Guo B; Wu B
    Biometrics; 2019 Dec; 75(4):1076-1085. PubMed ID: 31021400
    [TBL] [Abstract][Full Text] [Related]  

  • 6. GPA-MDS: A Visualization Approach to Investigate Genetic Architecture among Phenotypes Using GWAS Results.
    Wei W; Ramos PS; Hunt KJ; Wolf BJ; Hardiman G; Chung D
    Int J Genomics; 2016; 2016():6589843. PubMed ID: 27868058
    [TBL] [Abstract][Full Text] [Related]  

  • 7. LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies.
    Yang Y; Dai M; Huang J; Lin X; Yang C; Chen M; Liu J
    BMC Genomics; 2018 Jun; 19(1):503. PubMed ID: 29954342
    [TBL] [Abstract][Full Text] [Related]  

  • 8. LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.
    Ming J; Dai M; Cai M; Wan X; Liu J; Yang C
    Bioinformatics; 2018 Aug; 34(16):2788-2796. PubMed ID: 29608640
    [TBL] [Abstract][Full Text] [Related]  

  • 9. ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasets.
    Kortemeier E; Ramos PS; Hunt KJ; Kim HJ; Hardiman G; Chung D
    PLoS One; 2018; 13(1):e0190949. PubMed ID: 29309429
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results.
    Khatiwada A; Wolf BJ; Yilmaz AS; Ramos PS; Pietrzak M; Lawson A; Hunt KJ; Kim HJ; Chung D
    Bioinformatics; 2022 Jan; 38(4):1067-1074. PubMed ID: 34849578
    [TBL] [Abstract][Full Text] [Related]  

  • 11. iFunMed: Integrative functional mediation analysis of GWAS and eQTL studies.
    Rojo C; Zhang Q; Keleş S
    Genet Epidemiol; 2019 Oct; 43(7):742-760. PubMed ID: 31328826
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An integrative functional genomics framework for effective identification of novel regulatory variants in genome-phenome studies.
    Zhao J; Cheng F; Jia P; Cox N; Denny JC; Zhao Z
    Genome Med; 2018 Jan; 10(1):7. PubMed ID: 29378629
    [TBL] [Abstract][Full Text] [Related]  

  • 13. How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?
    Veturi Y; Ritchie MD
    Pac Symp Biocomput; 2018; 23():228-239. PubMed ID: 29218884
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Additional common loci associated with stroke and obesity identified using pleiotropic analytical approach.
    Wang L; Xu F; Brickell A; Sun N; Mao X; Zhang Q; Wang G; Zhou Q; Yang B; Li F; Yue L; Zhang W; Hao Y; Sun C
    Mol Genet Genomics; 2020 Mar; 295(2):439-451. PubMed ID: 31813042
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Testing Genetic Pleiotropy with GWAS Summary Statistics for Marginal and Conditional Analyses.
    Deng Y; Pan W
    Genetics; 2017 Dec; 207(4):1285-1299. PubMed ID: 28971959
    [TBL] [Abstract][Full Text] [Related]  

  • 16. LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.
    Liu J; Wan X; Wang C; Yang C; Zhou X; Yang C
    Bioinformatics; 2017 Dec; 33(24):3878-3886. PubMed ID: 28961754
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle.
    Cai Z; Guldbrandtsen B; Lund MS; Sahana G
    Genet Sel Evol; 2019 May; 51(1):20. PubMed ID: 31077144
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach.
    Guo B; Wu B
    Bioinformatics; 2019 Jul; 35(13):2251-2257. PubMed ID: 30476000
    [TBL] [Abstract][Full Text] [Related]  

  • 19. LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations.
    Ming J; Wang T; Yang C
    Bioinformatics; 2020 Apr; 36(8):2506-2514. PubMed ID: 31860024
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved methods for multi-trait fine mapping of pleiotropic risk loci.
    Kichaev G; Roytman M; Johnson R; Eskin E; Lindström S; Kraft P; Pasaniuc B
    Bioinformatics; 2017 Jan; 33(2):248-255. PubMed ID: 27663501
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 36.