BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

411 related articles for article (PubMed ID: 33947463)

  • 1. Multi-tissue neocortical transcriptome-wide association study implicates 8 genes across 6 genomic loci in Alzheimer's disease.
    Gockley J; Montgomery KS; Poehlman WL; Wiley JC; Liu Y; Gerasimov E; Greenwood AK; Sieberts SK; Wingo AP; Wingo TS; Mangravite LM; Logsdon BA
    Genome Med; 2021 May; 13(1):76. PubMed ID: 33947463
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 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. A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes.
    Sun Y; Zhu J; Zhou D; Canchi S; Wu C; Cox NJ; Rissman RA; Gamazon ER; Wu L
    Genome Med; 2021 Sep; 13(1):141. PubMed ID: 34470669
    [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. Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 93 risk genes for Alzheimer's disease dementia.
    Guo S; Yang J
    medRxiv; 2023 Jul; ():. PubMed ID: 37503151
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer's dementia.
    Tang S; Buchman AS; De Jager PL; Bennett DA; Epstein MP; Yang J
    PLoS Genet; 2021 Apr; 17(4):e1009482. PubMed ID: 33798195
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An analysis of genetically regulated gene expression across multiple tissues implicates novel gene candidates in Alzheimer's disease.
    Gerring ZF; Lupton MK; Edey D; Gamazon ER; Derks EM
    Alzheimers Res Ther; 2020 Apr; 12(1):43. PubMed ID: 32299494
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Linking the association between circRNAs and Alzheimer's disease progression by multi-tissue circular RNA characterization.
    Lo I; Hill J; Vilhjálmsson BJ; Kjems J
    RNA Biol; 2020 Dec; 17(12):1789-1797. PubMed ID: 32618510
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies.
    Lin Z; Xue H; Malakhov MM; Knutson KA; Pan W
    Hum Mol Genet; 2022 Jul; 31(14):2462-2470. PubMed ID: 35043938
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics.
    Luningham JM; Chen J; Tang S; De Jager PL; Bennett DA; Buchman AS; Yang J
    Am J Hum Genet; 2020 Oct; 107(4):714-726. PubMed ID: 32961112
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrative analysis of summary data from GWAS and eQTL studies implicates genes differentially expressed in Alzheimer's disease.
    Lee B; Yao X; Shen L;
    BMC Genomics; 2022 Jun; 23(Suppl 4):414. PubMed ID: 35655140
    [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. Identifying drug targets for neurological and psychiatric disease via genetics and the brain transcriptome.
    Baird DA; Liu JZ; Zheng J; Sieberts SK; Perumal T; Elsworth B; Richardson TG; Chen CY; Carrasquillo MM; Allen M; Reddy JS; De Jager PL; Ertekin-Taner N; Mangravite LM; Logsdon B; Estrada K; Haycock PC; Hemani G; Runz H; Smith GD; Gaunt TR;
    PLoS Genet; 2021 Jan; 17(1):e1009224. PubMed ID: 33417599
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An X Chromosome Transcriptome Wide Association Study Implicates ARMCX6 in Alzheimer's Disease.
    Zhang X; Gomez L; Below JE; Naj AC; Martin ER; Kunkle BW; Bush WS
    J Alzheimers Dis; 2024; 98(3):1053-1067. PubMed ID: 38489177
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Hippocampal transcriptome-wide association study and neurobiological pathway analysis for Alzheimer's disease.
    Liu N; Xu J; Liu H; Zhang S; Li M; Zhou Y; Qin W; Li MJ; Yu C;
    PLoS Genet; 2021 Feb; 17(2):e1009363. PubMed ID: 33630843
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.
    Bao J; Wen J; Wen Z; Yang S; Cui Y; Yang Z; Erus G; Saykin AJ; Long Q; Davatzikos C; Shen L
    Neuroimage; 2023 Oct; 280():120346. PubMed ID: 37634885
    [TBL] [Abstract][Full Text] [Related]  

  • 19. African ancestry GWAS of dementia in a large military cohort identifies significant risk loci.
    Sherva R; Zhang R; Sahelijo N; Jun G; Anglin T; Chanfreau C; Cho K; Fonda JR; Gaziano JM; Harrington KM; Ho YL; Kremen WS; Litkowski E; Lynch J; Neale Z; Roussos P; Marra D; Mez J; Miller MW; Salat DH; Tsuang D; Wolf E; Zeng Q; Panizzon MS; Merritt VC; Farrer LA; Hauger RL; Logue MW
    Mol Psychiatry; 2023 Mar; 28(3):1293-1302. PubMed ID: 36543923
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Meta-imputation of transcriptome from genotypes across multiple datasets by leveraging publicly available summary-level data.
    Liu AE; Kang HM
    PLoS Genet; 2022 Jan; 18(1):e1009571. PubMed ID: 35100255
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.