256 related articles for article (PubMed ID: 28881962)
1. Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes.
Duong D; Gai L; Snir S; Kang EY; Han B; Sul JH; Eskin E
Bioinformatics; 2017 Jul; 33(14):i67-i74. PubMed ID: 28881962
[TBL] [Abstract][Full Text] [Related]
2. Using genomic annotations increases statistical power to detect eGenes.
Duong D; Zou J; Hormozdiari F; Sul JH; Ernst J; Han B; Eskin E
Bioinformatics; 2016 Jun; 32(12):i156-i163. PubMed ID: 27307612
[TBL] [Abstract][Full Text] [Related]
3. QRank: a novel quantile regression tool for eQTL discovery.
Song X; Li G; Zhou Z; Wang X; Ionita-Laza I; Wei Y
Bioinformatics; 2017 Jul; 33(14):2123-2130. PubMed ID: 28334222
[TBL] [Abstract][Full Text] [Related]
4. Integrated genome-wide analysis of expression quantitative trait loci aids interpretation of genomic association studies.
Joehanes R; Zhang X; Huan T; Yao C; Ying SX; Nguyen QT; Demirkale CY; Feolo ML; Sharopova NR; Sturcke A; Schäffer AA; Heard-Costa N; Chen H; Liu PC; Wang R; Woodhouse KA; Tanriverdi K; Freedman JE; Raghavachari N; Dupuis J; Johnson AD; O'Donnell CJ; Levy D; Munson PJ
Genome Biol; 2017 Jan; 18(1):16. PubMed ID: 28122634
[TBL] [Abstract][Full Text] [Related]
5. Incorporating genetic similarity of auxiliary samples into eGene identification under the transfer learning framework.
Zhang S; Jiang Z; Zeng P
J Transl Med; 2024 Mar; 22(1):258. PubMed ID: 38461317
[TBL] [Abstract][Full Text] [Related]
6. Illuminating links between cis-regulators and trans-acting variants in the human prefrontal cortex.
Liu S; Won H; Clarke D; Matoba N; Khullar S; Mu Y; Wang D; Gerstein M
Genome Med; 2022 Nov; 14(1):133. PubMed ID: 36424644
[TBL] [Abstract][Full Text] [Related]
7. Efficient and effective control of confounding in eQTL mapping studies through joint differential expression and Mendelian randomization analyses.
Fan Y; Zhu H; Song Y; Peng Q; Zhou X
Bioinformatics; 2021 Apr; 37(3):296-302. PubMed ID: 32790868
[TBL] [Abstract][Full Text] [Related]
8. JEPEG: a summary statistics based tool for gene-level joint testing of functional variants.
Lee D; Williamson VS; Bigdeli TB; Riley BP; Fanous AH; Vladimirov VI; Bacanu SA
Bioinformatics; 2015 Apr; 31(8):1176-82. PubMed ID: 25505091
[TBL] [Abstract][Full Text] [Related]
9. A mega-analysis of expression quantitative trait loci in retinal tissue.
Strunz T; Kiel C; Grassmann F; Ratnapriya R; Kwicklis M; Karlstetter M; Fauser S; Arend N; Swaroop A; Langmann T; Wolf A; Weber BHF
PLoS Genet; 2020 Sep; 16(9):e1008934. PubMed ID: 32870927
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Dynamic Role of trans Regulation of Gene Expression in Relation to Complex Traits.
Yao C; Joehanes R; Johnson AD; Huan T; Liu C; Freedman JE; Munson PJ; Hill DE; Vidal M; Levy D
Am J Hum Genet; 2017 Apr; 100(4):571-580. PubMed ID: 28285768
[TBL] [Abstract][Full Text] [Related]
12. ncRNA-eQTL: a database to systematically evaluate the effects of SNPs on non-coding RNA expression across cancer types.
Li J; Xue Y; Amin MT; Yang Y; Yang J; Zhang W; Yang W; Niu X; Zhang HY; Gong J
Nucleic Acids Res; 2020 Jan; 48(D1):D956-D963. PubMed ID: 31410488
[TBL] [Abstract][Full Text] [Related]
13. FIVEx: an interactive eQTL browser across public datasets.
Kwong A; Boughton AP; Wang M; VandeHaar P; Boehnke M; Abecasis G; Kang HM
Bioinformatics; 2022 Jan; 38(2):559-561. PubMed ID: 34459872
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. A Bayesian framework for multiple trait colocalization from summary association statistics.
Giambartolomei C; Zhenli Liu J; Zhang W; Hauberg M; Shi H; Boocock J; Pickrell J; Jaffe AE; ; Pasaniuc B; Roussos P
Bioinformatics; 2018 Aug; 34(15):2538-2545. PubMed ID: 29579179
[TBL] [Abstract][Full Text] [Related]
17. Characterizing the Relation Between Expression QTLs and Complex Traits: Exploring the Role of Tissue Specificity.
Ip HF; Jansen R; Abdellaoui A; Bartels M; ; Boomsma DI; Nivard MG
Behav Genet; 2018 Sep; 48(5):374-385. PubMed ID: 30030655
[TBL] [Abstract][Full Text] [Related]
18. eQTLHap: a tool for comprehensive eQTL analysis considering haplotypic and genotypic effects.
Al Bkhetan Z; Chana G; Soon Ong C; Goudey B; Ramamohanarao K
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33834181
[TBL] [Abstract][Full Text] [Related]
19. Conditional entropy in variation-adjusted windows detects selection signatures associated with expression quantitative trait loci (eQTLs).
Handelman SK; Seweryn M; Smith RM; Hartmann K; Wang D; Pietrzak M; Johnson AD; Kloczkowski A; Sadee W
BMC Genomics; 2015; 16 Suppl 8(Suppl 8):S8. PubMed ID: 26111110
[TBL] [Abstract][Full Text] [Related]
20. Discovery of novel hepatocyte eQTLs in African Americans.
Zhong Y; De T; Alarcon C; Park CS; Lec B; Perera MA
PLoS Genet; 2020 Apr; 16(4):e1008662. PubMed ID: 32310939
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
