表达数量性状基因座
数量性状位点
特质
生物
癌变
基因型
计算生物学
基因
协变量
遗传学
单核苷酸多态性
计算机科学
机器学习
程序设计语言
作者
Yaoming Liu,Youqiong Ye,Jing Gong,Leng Han
出处
期刊:Methods in molecular biology
日期:2019-12-18
卷期号:: 189-199
被引量:3
标识
DOI:10.1007/978-1-0716-0026-9_13
摘要
Expression 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. Here we describe a detailed workflow for identifying eQTLs in cancer using existing packages and software. The key package is Matrix eQTL, which requires input data of genotypes, genes expression, and covariates. This pipeline can be easily applied in a related research field.
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