Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity

article

Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity is …
instance of (P31):
scholarly articleQ13442814

External links are
P6179Dimensions Publication ID1106915210
P356DOI10.1186/S13059-018-1507-0
P932PMC publication ID6131897
P698PubMed publication ID30205839

P50authorAritro NathQ59684381
P2093author name stringR Stephanie Huang
Cathal Seoighe
Robert L Grossman
Fan Wang
Paul Geeleher
Zhenyu Zhang
Jessica Fessler
Alvaro N Barbeira
P2860cites workThe Hallmarks of CancerQ221226
Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancerQ35996692
Genome-wide association study identifies multiple susceptibility loci for gliomaQ36145972
Expression Quantitative Trait loci (QTL) in tumor adjacent normal breast tissue and breast tumor tissueQ36267818
Systematic pan-cancer analysis of tumour purityQ36350773
Cell type-specific gene expression differences in complex tissuesQ36975911
Computational deconvolution: extracting cell type-specific information from heterogeneous samplesQ37417280
Epigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell TypesQ37422742
COSMIC: somatic cancer genetics at high-resolutionQ37556877
A comprehensive transcriptional portrait of human cancer cell linesQ37854720
Discovering novel pharmacogenomic biomarkers by imputing drug response in cancer patients from large genomics studies.Q38605171
Gene regulatory mechanisms underpinning prostate cancer susceptibilityQ38788399
Interaction Landscape of Inherited Polymorphisms with Somatic Events in Cancer.Q38966664
Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroupsQ39625095
Next-generation genotype imputation service and methodsQ40603492
Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations.Q48273537
Exploring the Link between the Germline and Somatic Genome in Cancer.Q52884337
Putative cis-regulatory drivers in colorectal cancerQ53030526
Hallmarks of Cancer: The Next GenerationQ22252312
The Cancer Genome Atlas Pan-Cancer analysis projectQ24606808
Chemotherapeutic drug susceptibility associated SNPs are enriched in expression quantitative trait lociQ24631841
PLINK: a tool set for whole-genome association and population-based linkage analysesQ24677407
Toward a Shared Vision for Cancer Genomic DataQ26966456
Targeting RAS signalling pathways in cancer therapyQ28201363
Gene-set analysis is severely biased when applied to genome-wide methylation dataQ28291972
Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer TypesQ28388497
Bionimbus: a cloud for managing, analyzing and sharing large genomics datasetsQ28652892
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genomeQ29547458
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroupsQ29614700
Fast and accurate genotype imputation in genome-wide association studies through pre-phasingQ29614942
An Expanded View of Complex Traits: From Polygenic to OmnigenicQ30322686
A reference panel of 64,976 haplotypes for genotype imputationQ33553419
Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk.Q33565679
Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancerQ33654352
Gene ontology analysis for RNA-seq: accounting for selection biasQ33861598
Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1.Q34023796
Interpreting meta-analyses of genome-wide association studiesQ34187048
Integrative eQTL-based analyses reveal the biology of breast cancer risk lociQ34194768
Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analysesQ34255194
Integrative analyses of genetic variation, epigenetic regulation, and the transcriptome to elucidate the biology of platinum sensitivityQ35150207
Cell Specific eQTL Analysis without Sorting CellsQ35587187
The support of human genetic evidence for approved drug indicationsQ35677036
P4510describes a project that usesggplot2Q326489
P433issue1
P407language of work or nameEnglishQ1860
P921main subjectquantitative trait locusQ853421
P304page(s)130
P577publication date2018-09-11
P1433published inGenome BiologyQ5533480
P1476titleCancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity
P478volume19

Reverse relations

cites work (P2860)
Q96346134Deconvolution of bulk blood eQTL effects into immune cell subpopulations
Q91845314Integrating germline and somatic genetics to identify genes associated with lung cancer
Q64253673Pan-cancer transcriptomic analysis dissects immune and proliferative functions of APOBEC3 cytidine deaminases
Q90050753The Cancer-Associated Genetic Variant Rs3903072 Modulates Immune Cells in the Tumor Microenvironment

Search more.