163 related articles for article (PubMed ID: 26568645)
1. Proper Use of Allele-Specific Expression Improves Statistical Power for
Hu YJ; Sun W; Tzeng JY; Perou CM
J Am Stat Assoc; 2015; 110(511):962-974. PubMed ID: 26568645
[TBL] [Abstract][Full Text] [Related]
2. A statistical framework for eQTL mapping using RNA-seq data.
Sun W
Biometrics; 2012 Mar; 68(1):1-11. PubMed ID: 21838806
[TBL] [Abstract][Full Text] [Related]
3. Comprehensively evaluating cis-regulatory variation in the human prostate transcriptome by using gene-level allele-specific expression.
Larson NB; McDonnell S; French AJ; Fogarty Z; Cheville J; Middha S; Riska S; Baheti S; Nair AA; Wang L; Schaid DJ; Thibodeau SN
Am J Hum Genet; 2015 Jun; 96(6):869-82. PubMed ID: 25983244
[TBL] [Abstract][Full Text] [Related]
4. Allele-specific expression and eQTL analysis in mouse adipose tissue.
Hasin-Brumshtein Y; Hormozdiari F; Martin L; van Nas A; Eskin E; Lusis AJ; Drake TA
BMC Genomics; 2014 Jun; 15(1):471. PubMed ID: 24927774
[TBL] [Abstract][Full Text] [Related]
5. Comparing allele specific expression and local expression quantitative trait loci and the influence of gene expression on complex trait variation in cattle.
Khansefid M; Pryce JE; Bolormaa S; Chen Y; Millen CA; Chamberlain AJ; Vander Jagt CJ; Goddard ME
BMC Genomics; 2018 Nov; 19(1):793. PubMed ID: 30390624
[TBL] [Abstract][Full Text] [Related]
6. Joint eQTL mapping and inference of gene regulatory network improves power of detecting both cis- and trans-eQTLs.
Zhou X; Cai X
Bioinformatics; 2021 Dec; 38(1):149-156. PubMed ID: 34487140
[TBL] [Abstract][Full Text] [Related]
7. SPIRE, a modular pipeline for eQTL analysis of RNA-Seq data, reveals a regulatory hotspot controlling miRNA expression in C. elegans.
Kel I; Chang Z; Galluccio N; Romeo M; Beretta S; Diomede L; Mezzelani A; Milanesi L; Dieterich C; Merelli I
Mol Biosyst; 2016 Oct; 12(11):3447-3458. PubMed ID: 27722582
[TBL] [Abstract][Full Text] [Related]
8. eQTL Mapping Using RNA-seq Data.
Sun W; Hu Y
Stat Biosci; 2013 May; 5(1):198-219. PubMed ID: 23667399
[TBL] [Abstract][Full Text] [Related]
9. The genetic regulation of transcription in human endometrial tissue.
Fung JN; Girling JE; Lukowski SW; Sapkota Y; Wallace L; Holdsworth-Carson SJ; Henders AK; Healey M; Rogers PAW; Powell JE; Montgomery GW
Hum Reprod; 2017 Apr; 32(4):893-904. PubMed ID: 28177073
[TBL] [Abstract][Full Text] [Related]
10. Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels.
Deelen P; Zhernakova DV; de Haan M; van der Sijde M; Bonder MJ; Karjalainen J; van der Velde KJ; Abbott KM; Fu J; Wijmenga C; Sinke RJ; Swertz MA; Franke L
Genome Med; 2015; 7(1):30. PubMed ID: 25954321
[TBL] [Abstract][Full Text] [Related]
11. Genome-wide co-expression analysis in multiple tissues.
Grieve IC; Dickens NJ; Pravenec M; Kren V; Hubner N; Cook SA; Aitman TJ; Petretto E; Mangion J
PLoS One; 2008; 3(12):e4033. PubMed ID: 19112506
[TBL] [Abstract][Full Text] [Related]
12. Dissection of expression-quantitative trait locus and allele specificity using a haploid/diploid plant system - insights into compensatory evolution of transcriptional regulation within populations.
Verta JP; Landry CR; MacKay J
New Phytol; 2016 Jul; 211(1):159-71. PubMed ID: 26891783
[TBL] [Abstract][Full Text] [Related]
13. An integrative systems genetics approach reveals potential causal genes and pathways related to obesity.
Kogelman LJ; Zhernakova DV; Westra HJ; Cirera S; Fredholm M; Franke L; Kadarmideen HN
Genome Med; 2015 Oct; 7():105. PubMed ID: 26482556
[TBL] [Abstract][Full Text] [Related]
14. A systematic comparison of normalization methods for eQTL analysis.
Yang J; Wang D; Yang Y; Yang W; Jin W; Niu X; Gong J
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34015824
[TBL] [Abstract][Full Text] [Related]
15. Allelic mapping bias in RNA-sequencing is not a major confounder in eQTL studies.
Panousis NI; Gutierrez-Arcelus M; Dermitzakis ET; Lappalainen T
Genome Biol; 2014 Sep; 15(9):467. PubMed ID: 25239376
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. PExFInS: An Integrative Post-GWAS Explorer for Functional Indels and SNPs.
Cheng Z; Chu H; Fan Y; Li C; Song YQ; Zhou J; Yuen KY
Sci Rep; 2015 Nov; 5():17302. PubMed ID: 26612672
[TBL] [Abstract][Full Text] [Related]
18. PancanQTL: systematic identification of cis-eQTLs and trans-eQTLs in 33 cancer types.
Gong J; Mei S; Liu C; Xiang Y; Ye Y; Zhang Z; Feng J; Liu R; Diao L; Guo AY; Miao X; Han L
Nucleic Acids Res; 2018 Jan; 46(D1):D971-D976. PubMed ID: 29036324
[TBL] [Abstract][Full Text] [Related]
19. Identification of trans-eQTLs using mediation analysis with multiple mediators.
Shan N; Wang Z; Hou L
BMC Bioinformatics; 2019 Mar; 20(Suppl 3):126. PubMed ID: 30925861
[TBL] [Abstract][Full Text] [Related]
20. Deciphering the genetic regulation of peripheral blood transcriptome in pigs through expression genome-wide association study and allele-specific expression analysis.
Maroilley T; Lemonnier G; Lecardonnel J; Esquerré D; Ramayo-Caldas Y; Mercat MJ; Rogel-Gaillard C; Estellé J
BMC Genomics; 2017 Dec; 18(1):967. PubMed ID: 29237423
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]