BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

306 related articles for article (PubMed ID: 33434493)

  • 1. Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization.
    Liu L; Zeng P; Xue F; Yuan Z; Zhou X
    Am J Hum Genet; 2021 Feb; 108(2):240-256. PubMed ID: 33434493
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies.
    Yuan Z; Zhu H; Zeng P; Yang S; Sun S; Yang C; Liu J; Zhou X
    Nat Commun; 2020 Jul; 11(1):3861. PubMed ID: 32737316
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transcriptome-wide association studies accounting for colocalization using Egger regression.
    Barfield R; Feng H; Gusev A; Wu L; Zheng W; Pasaniuc B; Kraft P
    Genet Epidemiol; 2018 Jul; 42(5):418-433. PubMed ID: 29808603
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. MATS: a novel multi-ancestry transcriptome-wide association study to account for heterogeneity in the effects of cis-regulated gene expression on complex traits.
    Knutson KA; Pan W
    Hum Mol Genet; 2023 Apr; 32(8):1237-1251. PubMed ID: 36179104
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits.
    Okamoto J; Wang L; Yin X; Luca F; Pique-Regi R; Helms A; Im HK; Morrison J; Wen X
    Am J Hum Genet; 2023 Jan; 110(1):44-57. PubMed ID: 36608684
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.
    Bowden J; Davey Smith G; Burgess S
    Int J Epidemiol; 2015 Apr; 44(2):512-25. PubMed ID: 26050253
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.
    Deng Y; Pan W
    PLoS Comput Biol; 2021 Aug; 17(8):e1009266. PubMed ID: 34339418
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Conditional transcriptome-wide association study for fine-mapping candidate causal genes.
    Liu L; Yan R; Guo P; Ji J; Gong W; Xue F; Yuan Z; Zhou X
    Nat Genet; 2024 Feb; 56(2):348-356. PubMed ID: 38279040
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy.
    Rees JMB; Wood AM; Burgess S
    Stat Med; 2017 Dec; 36(29):4705-4718. PubMed ID: 28960498
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Welch-weighted Egger regression reduces false positives due to correlated pleiotropy in Mendelian randomization.
    Brown BC; Knowles DA
    Am J Hum Genet; 2021 Dec; 108(12):2319-2335. PubMed ID: 34861175
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies.
    Feng H; Mancuso N; Gusev A; Majumdar A; Major M; Pasaniuc B; Kraft P
    PLoS Genet; 2021 Apr; 17(4):e1008973. PubMed ID: 33831007
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Statistical power of transcriptome-wide association studies.
    He R; Xue H; Pan W;
    Genet Epidemiol; 2022 Dec; 46(8):572-588. PubMed ID: 35766062
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Aggregating multiple expression prediction models improves the power of transcriptome-wide association studies.
    Zeng P; Dai J; Jin S; Zhou X
    Hum Mol Genet; 2021 May; 30(10):939-951. PubMed ID: 33615361
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework.
    Cho Y; Haycock PC; Sanderson E; Gaunt TR; Zheng J; Morris AP; Davey Smith G; Hemani G
    Nat Commun; 2020 Feb; 11(1):1010. PubMed ID: 32081875
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multitrait transcriptome-wide association study (TWAS) tests.
    Feng H; Mancuso N; Pasaniuc B; Kraft P
    Genet Epidemiol; 2021 Sep; 45(6):563-576. PubMed ID: 34082479
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-ancestry fine-mapping improves precision to identify causal genes in transcriptome-wide association studies.
    Lu Z; Gopalan S; Yuan D; Conti DV; Pasaniuc B; Gusev A; Mancuso N
    Am J Hum Genet; 2022 Aug; 109(8):1388-1404. PubMed ID: 35931050
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Mendelian randomization under the omnigenic architecture.
    Wang L; Gao B; Fan Y; Xue F; Zhou X
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34379090
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits.
    Zhao S; Crouse W; Qian S; Luo K; Stephens M; He X
    Nat Genet; 2024 Feb; 56(2):336-347. PubMed ID: 38279041
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interpreting findings from Mendelian randomization using the MR-Egger method.
    Burgess S; Thompson SG
    Eur J Epidemiol; 2017 May; 32(5):377-389. PubMed ID: 28527048
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.