Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes.

ABSTRACT: The goal of expression quantitative trait loci (eQTL) studies is to identify the genetic variants that influence the expression levels of the genes in an organism. High throughput technology has made such studies possible: in a given tissue sample, it enables us to quantify the expression levels of approximately 20 000 genes and to record the alleles present at millions of genetic polymorphisms. While obtaining this data is relatively cheap once a specimen is at hand, obtaining human tissue remains a costly endeavor: eQTL studies continue to be based on relatively small sample sizes, with this limitation particularly serious for tissues as brain, liver, etc.-often the organs of most immediate medical relevance. Given the high-dimensional nature of these datasets and the large number of hyp

SUBMITTER: Panigrahi S 

PROVIDER: S-EPMC7846186 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature