ReviewMammalian genome : official journal of the International Mammalian Genome Society2006
A review of statistical methods for expression quantitative trait loci mapping.
Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Estimation of high-dimensional directed acyclic graphs with surrogate intervention.Biostatistics (Oxford, England) · 2020Article
- Combinatorial and statistical prediction of gene expression from haplotype sequence.Bioinformatics (Oxford, England) · 2020Article
- Expression Quantitative Trait Loci Analysis in Multiple Tissues.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective.Metabolites · 2019Review
- Statistical Methods and Software for Substance Use and Dependence Genetic Research.Current genomics · 2019Review
- An empirical Bayes approach for multiple tissue eQTL analysis.Biostatistics (Oxford, England) · 2018Article
- Model based heritability scores for high-throughput sequencing data.BMC bioinformatics · 2017Article
- Genome characterization of the selected long- and short-sleep mouse lines.Mammalian genome : official journal of the International Mammalian Genome Society · 2016Article
- Fast eQTL Analysis for Twin Studies.Genetic epidemiology · 2015Article
- RNA Sequencing and Analysis.Cold Spring Harbor protocols · 2015Article
- Multivariate Boosting for Integrative Analysis of High-Dimensional Cancer Genomic Data.Cancer informatics · 2015Article
- Statistical and Computational Methods for Genetic Diseases: An Overview.Computational and mathematical methods in medicine · 2015Review
- The genetics of gene expression in complex mouse crosses as a tool to study the molecular underpinnings of behavior traits.Mammalian genome : official journal of the International Mammalian Genome Society · 2014Review
- Prospects for advancing defense to cereal rusts through genetical genomics.Frontiers in plant science · 2013Article
- A complex network framework for unbiased statistical analyses of DNA-DNA contact maps.Nucleic acids research · 2013Article
- Article
- An integrated hierarchical Bayesian model for multivariate eQTL mapping.Statistical applications in genetics and molecular biology · 2012Article
- Matrix eQTL: ultra fast eQTL analysis via large matrix operations.Bioinformatics (Oxford, England) · 2012Article
- Article
- A statistical framework for eQTL mapping using RNA-seq data.Biometrics · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With high-throughput technologies now widely available, investigators can easily measure thousands of phenotypes for quantitative trait loci (QTL) mapping. Microarray measurements are particularly amenable to QTL mapping, as evidenced by a number of recent studies demonstrating utility across a broad range of biological endeavors. The early success stories have impelled a rapid increase in both the number and complexity of expression QTL (eQTL) experiments. Consequently, there is a need to consider the statistical principles involved in the design and analysis of these experiments and the methods currently being used. In this article we review these principles and methods and discuss the open questions most likely to yield significant progress toward increasing the amount of meaningful information obtained from eQTL mapping experiments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.