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A bioinformatics toolbox to prioritize causal genetic variants in candidate regions
ID Šimon, Martin (Author), ID Čater, Maša (Author), ID Kunej, Tanja (Author), ID Morton, Nicholas M. (Author), ID Horvat, Simon (Author)

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Abstract
This review addresses the significant challenge of identifying causal genetic variants within quantitative trait loci (QTLs) for complex traits and diseases. Despite progress in detecting the ever-larger number of such loci, establishing causality remains daunting. We advocate for integrating bioinformatics and multiomics analyses to streamline the prioritization of candidate genes’ variants. Our case study on the Pla2g4e gene, identified previously as a positional candidate obesity gene through genetic mapping and expression studies, demonstrates how applying multiomic data filtered through regulatory elements containing SNPs can refine the search for causative variants. This approach can yield results that guide more efficient experimental strategies, accelerating genetic research toward functional validation and therapeutic development.

Language:English
Keywords:multiomics analysis, prioritization, causality, regulatory elements, SNP
Work type:Article
Typology:1.02 - Review Article
Organization:BF - Biotechnical Faculty
Publication status:Published
Publication version:Version of Record
Year:2025
Number of pages:Str. 33-46
Numbering:Vol. 41, iss. 1
PID:20.500.12556/RUL-166554 This link opens in a new window
UDC:575
ISSN on article:1362-4555
DOI:10.1016/j.tig.2024.09.007 This link opens in a new window
COBISS.SI-ID:211722499 This link opens in a new window
Publication date in RUL:17.01.2025
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Downloads:136
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Record is a part of a journal

Title:Trends in genetics
Publisher:Elsevier
ISSN:1362-4555
COBISS.SI-ID:520937241 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:genetika, bioinformatika, vzročne genetske različice, QTL, kompleksne lastnosti, bolezni

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