Record Details

Identification of cis- and trans-expression quantitative trait loci using Bayesian framework

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Identification of cis- and trans-expression quantitative trait loci using Bayesian framework
Not Available
 
Creator Himadri Shekhar Roy
Amrit Kumar Paul
Ranjit Kumar Paul
 
Subject Barley
gene expression
hotspots
integrated hierarchical model
quantitative trait loci
 
Description Not Available
The detection and identification of expression quantitative trait loci (eQTLs) for biological characteristics
like gene expression is an important focus of genomics.
The existence of cis- and trans-eQTLs is crucial for establishing their cumulative significance to the desired
traits. A crucial aspect of genomics is identifying the
cis- and trans-eQTLs that capture substantial changes in
the expression of distant genes. The goal of the present
study was to use an integrated hierarchical Bayesian
model to identify the cis- and trans-eQTLS. Molecular
approaches are utilized to categorize just the candidate genes when quantitative trait loci or eQTLs are
identified. Variations inside or near the gene are hypothesized to determine the genetic variances that reflect
transcript levels. The identification of eQTLs has
helped us better understand gene regulation and complex trait analysis. The present study focused on barley
crops, and only cis-eQTLs were identified; no additional eQTL hotspots were determined. Mouse gene
expressions were used to study trans-eQTLs and substantial cis- and trans-eQTLs, as well as four eQTL
hotspots were identified.
Not Available
 
Date 2022-09-13T05:54:13Z
2022-09-13T05:54:13Z
2022-05-25
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/74084
 
Language English
 
Relation Not Available;
 
Publisher Not Available