Genetic effects on gene expression across human tissues
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[1] Ivan Rusyn,et al. An empirical Bayes approach for multiple tissue eQTL analysis , 2013, Biostatistics.
[2] Yoav Benjamini,et al. Testing hypotheses on a tree: new error rates and controlling strategies , 2017, 1705.07529.
[3] Anushya Muruganujan,et al. PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements , 2016, Nucleic Acids Res..
[4] Steven J. M. Jones,et al. The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery , 2016, Cell.
[5] Xiaoquan Wen,et al. Molecular QTL discovery incorporating genomic annotations using Bayesian false discovery rate control , 2016 .
[6] Xiaoquan Wen,et al. Efficient Integrative Multi-SNP Association Analysis using Deterministic Approximation of Posteriors , 2015, bioRxiv.
[7] T. Spector,et al. Quantifying the degree of sharing of genetic and non-genetic causes of gene expression variability across four tissues , 2016, bioRxiv.
[8] Shane T. Jensen,et al. Bayesian integration of genetics and epigenetics detects causal regulatory SNPs underlying expression variability , 2015, Nature Communications.
[9] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[10] Eric Banks,et al. Tools and best practices for data processing in allelic expression analysis , 2015, Genome Biology.
[11] Emmanouil T. Dermitzakis,et al. Fast and efficient QTL mapper for thousands of molecular phenotypes , 2015, bioRxiv.
[12] Emily K. Tsang,et al. The landscape of genomic imprinting across diverse adult human tissues , 2015, Genome research.
[13] Emily K. Tsang,et al. Effect of predicted protein-truncating genetic variants on the human transcriptome , 2015, Science.
[14] Jun S. Liu,et al. The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans , 2015, Science.
[15] L. Kruglyak,et al. The role of regulatory variation in complex traits and disease , 2015, Nature Reviews Genetics.
[16] Michael Q. Zhang,et al. Integrative analysis of 111 reference human epigenomes , 2015, Nature.
[17] Maria Gutierrez-Arcelus,et al. Allelic mapping bias in RNA-sequencing is not a major confounder in eQTL studies , 2014, Genome Biology.
[18] Eleazar Eskin,et al. Identifying Causal Variants at Loci with Multiple Signals of Association , 2014, Genetics.
[19] P. Sullivan,et al. Heritability and Genomics of Gene Expression in Peripheral Blood , 2014, Nature Genetics.
[20] Ross M. Fraser,et al. A General Approach for Haplotype Phasing across the Full Spectrum of Relatedness , 2014, PLoS genetics.
[21] D. Koller,et al. Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals , 2013, Genome research.
[22] M. Peters,et al. Systematic identification of trans eQTLs as putative drivers of known disease associations , 2013, Nature Genetics.
[23] Pedro G. Ferreira,et al. Transcriptome and genome sequencing uncovers functional variation in humans , 2013, Nature.
[24] Chun Jimmie Ye,et al. Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches , 2013, PLoS genetics.
[25] Lorenz Wernisch,et al. Transcription factor and chromatin features predict genes associated with eQTLs , 2012, Nucleic acids research.
[26] M. Stephens,et al. A Statistical Framework for Joint eQTL Analysis in Multiple Tissues , 2012, PLoS genetics.
[27] Christopher D. Brown,et al. Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs , 2012, PLoS genetics.
[28] Kenny Q. Ye,et al. An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.
[29] Simon C. Potter,et al. Mapping cis- and trans-regulatory effects across multiple tissues in twins , 2012, Nature Genetics.
[30] R. Durbin,et al. Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses , 2012, Nature Protocols.
[31] Andrey A. Shabalin,et al. Matrix eQTL: ultra fast eQTL analysis via large matrix operations , 2011, Bioinform..
[32] J. Marchini,et al. Genotype Imputation with Thousands of Genomes , 2011, G3: Genes | Genomes | Genetics.
[33] Matko Bosnjak,et al. REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms , 2011, PloS one.
[34] Eleazar Eskin,et al. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. , 2011, American journal of human genetics.
[35] Aaron R. Quinlan,et al. Bioinformatics Applications Note Genome Analysis Bedtools: a Flexible Suite of Utilities for Comparing Genomic Features , 2022 .
[36] William Stafford Noble,et al. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project , 2007, Nature.
[37] John D. Storey,et al. Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[38] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .