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Department of Brain Sciences
Laboratory of Neurodegenerative Diseases and Aging
1. Journal Articles
A brief guide to analyzing expression quantitative trait loci
Ko, Byung Su
;
Lee, Sung Bae
;
Kim, Tae-Kyung
Department of Brain Sciences
Laboratory of Neurodegenerative Diseases and Aging
1. Journal Articles
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Title
A brief guide to analyzing expression quantitative trait loci
Issued Date
2024-11
Citation
Ko, Byung Su. (2024-11). A brief guide to analyzing expression quantitative trait loci. Molecules and Cells, 47(11). doi: 10.1016/j.mocell.2024.100139
Type
Article
Keywords
RNA-SEQ DATA
;
GENE-EXPRESSION
;
EQTL ANALYSIS
;
ASSOCIATION
;
POPULATION
;
DISCOVERY
;
THOUSANDS
;
FRAMEWORK
;
VARIANTS
;
REVEALS
ISSN
1016-8478
Abstract
Molecular quantitative trait locus (molQTL) mapping has emerged as an important approach for elucidating the functional consequences of genetic variants and unraveling the causal mechanisms underlying diseases or complex traits. However, the variety of analysis tools and sophisticated methodologies available for molQTL studies can be overwhelming for researchers with limited computational expertise. Here, we provide a brief guideline with a curated list of methods and software tools for analyzing expression quantitative trait loci, the most widely studied type of molQTL. © 2024 The Author(s)
URI
http://hdl.handle.net/20.500.11750/57309
DOI
10.1016/j.mocell.2024.100139
Publisher
Elsevier
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Lee, Sung Bae
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