Titlebook: eQTL Analysis; Methods and Protocol Xinghua Mindy Shi Book 2020 Springer Science+Business Media, LLC, part of Springer Nature 2020 mining.g

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QTL Analysis Beyond eQTLs also has potential impact for the study of transcription medicine for human complex disease. In the past two decades, the researchers focus on studying the eQTL, while more and more evidence shows that the regulatory genetic variants locating noncoding region have strong effect for the gene express

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Quantitative Trait Loci (QTL) Mapping other and the environment. These are commonly identified through a statistical genetic analysis known as QTL mapping. Here, I present a step-by-step, practical approach to QTL mapping along with a sample data file. I focus on methods commonly used and discoveries that have been made in fishes, and

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Expression Quantitative Trait Loci Analysis in Multiple Tissuesy 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. Here we describe a multi-tissue eQTL analysis procedure, which improves the identification of different types of eQTL and

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Cacophonous

https://doi.org/10.1007/978-1-0716-0026-9mining; genetic variation; molecular phenotypes; expression; transcriptomic sequencing

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https://doi.org/10.1007/978-981-19-9107-3given genotype. While the field of bioinformatics and genomics has experienced exponential growth with modern technological advances, an unintended consequence arises as a lack of a gold standard for many applications and methods, which may be compounded with ever-improving computational capabilitie

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hyperuricemia

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https://doi.org/10.1007/978-3-319-43458-2approaches have a low power in the detection of small-effect eQTL. To overcome this issue, we integrate polygenic background control with multi-locus genetic model to develop genome-wide composite interval mapping (GCIM). This chapter covers the GCIM procedure in a backcross or doubled haploid popul