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Incorporating alternative splicing and mRNA editing into the genetic analysis of complex traits
Author(s) -
Hassan Musa A.,
Saeij Jeroen P. J.
Publication year - 2014
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.201400079
Subject(s) - biology , rna editing , genetics , rna splicing , alternative splicing , gene , quantitative trait locus , rna , transcriptome , computational biology , rna seq , proteome , population , evolutionary biology , gene expression , messenger rna , demography , sociology
The nomination of candidate genes underlying complex traits is often focused on genetic variations that alter mRNA abundance or result in non‐conservative changes in amino acids. Although inconspicuous in complex trait analysis, genetic variants that affect splicing or RNA editing can also generate proteomic diversity and impact genetic traits. Indeed, it is known that splicing and RNA editing modulate several traits in humans and model organisms. Using high‐throughput RNA sequencing (RNA‐seq) analysis, it is now possible to integrate the genetics of transcript abundance, alternative splicing (AS) and editing with the analysis of complex traits. We recently demonstrated that both AS and mRNA editing are modulated by genetic and environmental factors, and potentially engender phenotypic diversity in a genetically segregating mouse population. Therefore, the analysis of splicing and RNA editing can expand not only the regulatory landscape of transcriptome and proteome complexity, but also the repertoire of candidate genes for complex traits.