BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

328 related articles for article (PubMed ID: 38824563)

  • 21. An eQTL Landscape of Kidney Tissue in Human Nephrotic Syndrome.
    Gillies CE; Putler R; Menon R; Otto E; Yasutake K; Nair V; Hoover P; Lieb D; Li S; Eddy S; Fermin D; McNulty MT; ; Hacohen N; Kiryluk K; Kretzler M; Wen X; Sampson MG
    Am J Hum Genet; 2018 Aug; 103(2):232-244. PubMed ID: 30057032
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. Identification of asthma-related genes using asthmatic blood eQTLs of Korean patients.
    Kim DJ; Lim JE; Jung HU; Chung JY; Baek EJ; Jung H; Kwon SY; Kim HK; Kang JO; Park K; Won S; Kim TB; Oh B
    BMC Med Genomics; 2023 Oct; 16(1):259. PubMed ID: 37875944
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Integrating eQTL data with GWAS summary statistics in pathway-based analysis with application to schizophrenia.
    Wu C; Pan W
    Genet Epidemiol; 2018 Apr; 42(3):303-316. PubMed ID: 29411426
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. Set-Based Rare Variant Expression Quantitative Trait Loci in Blood and Brain from Alzheimer Disease Study Participants.
    Patel D; Zhang X; Farrell JJ; Lunetta KL; Farrer LA
    Genes (Basel); 2021 Mar; 12(3):. PubMed ID: 33804025
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Some statistical consideration in transcriptome-wide association studies.
    Xue H; Pan W;
    Genet Epidemiol; 2020 Apr; 44(3):221-232. PubMed ID: 31821608
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits.
    Wittich H; Ardlie K; Taylor KD; Durda P; Liu Y; Mikhaylova A; Gignoux CR; Cho MH; Rich SS; Rotter JI; ; Manichaikul A; Im HK; Wheeler HE
    Am J Hum Genet; 2024 Mar; 111(3):445-455. PubMed ID: 38320554
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. Network regression analysis in transcriptome-wide association studies.
    Jin X; Zhang L; Ji J; Ju T; Zhao J; Yuan Z
    BMC Genomics; 2022 Aug; 23(1):562. PubMed ID: 35933330
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. 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]  

  • 35. 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]  

  • 36. Pinpointing novel risk loci for Lewy body dementia and the shared genetic etiology with Alzheimer's disease and Parkinson's disease: a large-scale multi-trait association analysis.
    Guo P; Gong W; Li Y; Liu L; Yan R; Wang Y; Zhang Y; Yuan Z
    BMC Med; 2022 Jun; 20(1):214. PubMed ID: 35729600
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations.
    Al-Barghouthi BM; Rosenow WT; Du KP; Heo J; Maynard R; Mesner L; Calabrese G; Nakasone A; Senwar B; Gerstenfeld L; Larner J; Ferguson V; Ackert-Bicknell C; Morgan E; Brautigan D; Farber CR
    Elife; 2022 Nov; 11():. PubMed ID: 36416764
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Tissue specific regulation of transcription in endometrium and association with disease.
    Mortlock S; Kendarsari RI; Fung JN; Gibson G; Yang F; Restuadi R; Girling JE; Holdsworth-Carson SJ; Teh WT; Lukowski SW; Healey M; Qi T; Rogers PAW; Yang J; McKinnon B; Montgomery GW
    Hum Reprod; 2020 Feb; 35(2):377-393. PubMed ID: 32103259
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Retinal transcriptome and eQTL analyses identify genes associated with age-related macular degeneration.
    Ratnapriya R; Sosina OA; Starostik MR; Kwicklis M; Kapphahn RJ; Fritsche LG; Walton A; Arvanitis M; Gieser L; Pietraszkiewicz A; Montezuma SR; Chew EY; Battle A; Abecasis GR; Ferrington DA; Chatterjee N; Swaroop A
    Nat Genet; 2019 Apr; 51(4):606-610. PubMed ID: 30742112
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia.
    Liu J; Li S; Li X; Li W; Yang Y; Guo S; Lv L; Xiao X; Yao YG; Guan F; Li M; Luo XJ
    BMC Med; 2021 Aug; 19(1):177. PubMed ID: 34380480
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.