BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

406 related articles for article (PubMed ID: 34669946)

  • 1. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.
    Cao C; Wang J; Kwok D; Cui F; Zhang Z; Zhao D; Li MJ; Zou Q
    Nucleic Acids Res; 2022 Jan; 50(D1):D1123-D1130. PubMed ID: 34669946
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies.
    Li B; Veturi Y; Bradford Y; Verma SS; Verma A; Lucas AM; Haas DW; Ritchie MD
    Pac Symp Biocomput; 2019; 24():296-307. PubMed ID: 30864331
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes.
    Gao G; Fiorica PN; McClellan J; Barbeira AN; Li JL; Olopade OI; Im HK; Huo D
    Am J Hum Genet; 2023 Jun; 110(6):950-962. PubMed ID: 37164006
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer's disease dementia.
    Guo S; Yang J
    Alzheimers Res Ther; 2024 Jun; 16(1):120. PubMed ID: 38824563
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Integrative analysis of transcriptome-wide association study and mRNA expression profile identified candidate genes and pathways associated with aortic aneurysm and dissection.
    Zhang Y; Li L; Ma L
    Gene; 2022 Jan; 808():145993. PubMed ID: 34626721
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine.
    Meyers TJ; Yin J; Herrera VA; Pressman AR; Hoffmann TJ; Schaefer C; Avins AL; Choquet H
    HGG Adv; 2023 Jul; 4(3):100211. PubMed ID: 37415806
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Opportunities and challenges for transcriptome-wide association studies.
    Wainberg M; Sinnott-Armstrong N; Mancuso N; Barbeira AN; Knowles DA; Golan D; Ermel R; Ruusalepp A; Quertermous T; Hao K; Björkegren JLM; Im HK; Pasaniuc B; Rivas MA; Kundaje A
    Nat Genet; 2019 Apr; 51(4):592-599. PubMed ID: 30926968
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multi-tissue, splicing-based joint transcriptome-wide association study identifies susceptibility genes for breast cancer.
    Gao G; McClellan J; Barbeira AN; Fiorica PN; Li JL; Mu Z; Olopade OI; Huo D; Im HK
    Am J Hum Genet; 2024 Jun; 111(6):1100-1113. PubMed ID: 38733992
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations.
    Lamontagne M; Bérubé JC; Obeidat M; Cho MH; Hobbs BD; Sakornsakolpat P; de Jong K; Boezen HM; ; Nickle D; Hao K; Timens W; van den Berge M; Joubert P; Laviolette M; Sin DD; Paré PD; Bossé Y
    Hum Mol Genet; 2018 May; 27(10):1819-1829. PubMed ID: 29547942
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Leveraging gene co-regulation to identify gene sets enriched for disease heritability.
    Siewert-Rocks KM; Kim SS; Yao DW; Shi H; Price AL
    Am J Hum Genet; 2022 Mar; 109(3):393-404. PubMed ID: 35108496
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Transcriptome-wide association study of multiple myeloma identifies candidate susceptibility genes.
    Went M; Kinnersley B; Sud A; Johnson DC; Weinhold N; Försti A; van Duin M; Orlando G; Mitchell JS; Kuiper R; Walker BA; Gregory WM; Hoffmann P; Jackson GH; Nöthen MM; da Silva Filho MI; Thomsen H; Broyl A; Davies FE; Thorsteinsdottir U; Hansson M; Kaiser M; Sonneveld P; Goldschmidt H; Stefansson K; Hemminki K; Nilsson B; Morgan GJ; Houlston RS
    Hum Genomics; 2019 Aug; 13(1):37. PubMed ID: 31429796
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults.
    Li B; Veturi Y; Verma A; Bradford Y; Daar ES; Gulick RM; Riddler SA; Robbins GK; Lennox JL; Haas DW; Ritchie MD
    PLoS Genet; 2021 Apr; 17(4):e1009464. PubMed ID: 33901188
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Meta-Analysis of Transcriptome-Wide Association Studies across 13 Brain Tissues Identified Novel Clusters of Genes Associated with Nicotine Addiction.
    Ye Z; Mo C; Ke H; Yan Q; Chen C; Kochunov P; Hong LE; Mitchell BD; Chen S; Ma T
    Genes (Basel); 2021 Dec; 13(1):. PubMed ID: 35052378
    [TBL] [Abstract][Full Text] [Related]  

  • 18. TWAS pathway method greatly enhances the number of leads for uncovering the molecular underpinnings of psychiatric disorders.
    Chatzinakos C; Georgiadis F; Lee D; Cai N; Vladimirov VI; Docherty A; Webb BT; Riley BP; Flint J; Kendler KS; Daskalakis NP; Bacanu SA
    Am J Med Genet B Neuropsychiatr Genet; 2020 Dec; 183(8):454-463. PubMed ID: 32954640
    [TBL] [Abstract][Full Text] [Related]  

  • 19. twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis.
    Wang X; Lu Z; Bhattacharya A; Pasaniuc B; Mancuso N
    Bioinformatics; 2023 May; 39(5):. PubMed ID: 37099718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies.
    Lu M; Zhang Y; Yang F; Mai J; Gao Q; Xu X; Kang H; Hou L; Shang Y; Qain Q; Liu J; Jiang M; Zhang H; Bu C; Wang J; Zhang Z; Zhang Z; Zeng J; Li J; Xiao J
    Nucleic Acids Res; 2023 Jan; 51(D1):D1179-D1187. PubMed ID: 36243959
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.