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Expression Quantitative Trait Loci (eQTL) Analysis in Cancer
2019Expression quantitative trait loci (eQTL) analysis links variations in gene expression levels to genotypes. Analyzing both cis- and trans-eQTLs from tumor samples can provide an intermediate phenotype between genetic variation and complex traits to better understand how risk alleles contribute to tumorigenesis and development.
Yaoming, Liu +3 more
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A functional strategy to characterize expression Quantitative Trait Loci
Human Genetics, 2017The study of genetic variation has been revolutionized by the advent of high-throughput technologies able to determine the complete genomic sequence of thousands of individuals. Understanding the functional relevance of variants is, however, still a difficult task, especially when focusing on non-coding variants.
Grassi, Elena +6 more
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High-Order Association Mapping for Expression Quantitative Trait Loci
2019Mapping expression quantitative trait loci (eQTLs) is an important avenue to identify putative genetic variants in regulatory regions. Famed eQTL mapping methods exploit the mean effects of locus-wise genetic variants on expression quantitative traits.
Huaizhen, Qin +2 more
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Mapping Expression Quantitative Trait Loci
2012The transcript abundance can be treated as a classical quantitative trait, and thus, mapping can be done on the transcript (Brem et al. 2002; Cheung and Spielman 2002; Schadt et al. 2003).Mendelian loci in the genome that control the expression levels of transcripts are called expression quantitative trait loci (eQTL).
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Uncovering Regulatory Pathways with Expression Quantitative Trait Loci
2007 IEEE International Workshop on Genomic Signal Processing and Statistics, 2007The automated inference or prediction of protein-protein interaction networks from large-scale measurements and other genomic data has become a standard technique in systems biology. However, typically these networks only represent undirected interactions between proteins, without classifying the type and directionality of interactions.
Andreas Beyer +2 more
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Expression Quantitative Trait Loci Analysis in Multiple Tissues
2019Expression quantitative trait loci (eQTL) analysis identifies genetic variants that regulate the expression level of a gene. The genetic regulation may persist or vary in different tissues. When data are available on multiple tissues, it is often desired to borrow information across tissues and conduct an integrative analysis.
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Interaction Between Two Quantitative Trait Loci Affects Fetal Haemoglobin Expression
Annals of Human Genetics, 2005SummaryThe biological mechanisms controlling complex quantitative traits are likely to be affected by interactions between genetic factors, sometimes referred to as epistasis. The identification of interacting loci through genetic analyse faces many challenges, and few examples of replicated findings of interaction exist for humans and model system ...
Garner, C +6 more
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Genome-wide expression quantitative trait loci analysis in asthma
Current Opinion in Allergy & Clinical Immunology, 2013Expression quantitative trait loci (eQTL) mapping studies are the next most important step in genomics to identify susceptibility genes and molecular pathways involved in human diseases following the completion of genome-wide association studies (GWAS). This article reviews the emerging concepts in genetics of gene expression and the empirical value of
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Robust Methods for Expression Quantitative Trait Loci Mapping
2016As a promising tool for dissecting the genetic basis of common diseases, expression quantitative trait loci (eQTL) study has attracted increasing research interest. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression traits.
Wei Cheng, Xiang Zhang, Wei Wang
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Expression quantitative trait loci and the PhenoGen database.
Alcohol research & health : the journal of the National Institute on Alcohol Abuse and Alcoholism, 2015Researchers from a wide variety of backgrounds and with a broad range of goals have utilized high-throughput screening technologies (i.e., microarray technologies) to identify candidate genes that may be associated with an observable characteristic or behavior (i.e., phenotype) of interest.
Laura, Saba +4 more
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