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Gene expression and RNA splicing explain large proportions of the heritability for complex traits in cattle.

Authors :
Xiang R
Fang L
Liu S
Macleod IM
Liu Z
Breen EJ
Gao Y
Liu GE
Tenesa A
Mason BA
Chamberlain AJ
Wray NR
Goddard ME
Source :
Cell genomics [Cell Genom] 2023 Aug 23; Vol. 3 (10), pp. 100385. Date of Electronic Publication: 2023 Aug 23 (Print Publication: 2023).
Publication Year :
2023

Abstract

Many quantitative trait loci (QTLs) are in non-coding regions. Therefore, QTLs are assumed to affect gene regulation. Gene expression and RNA splicing are primary steps of transcription, so DNA variants changing gene expression (eVariants) or RNA splicing (sVariants) are expected to significantly affect phenotypes. We quantify the contribution of eVariants and sVariants detected from 16 tissues (n = 4,725) to 37 traits of ∼120,000 cattle (average magnitude of genetic correlation between traits = 0.13). Analyzed in Bayesian mixture models, averaged across 37 traits, cis and trans eVariants and sVariants detected from 16 tissues jointly explain 69.2% (SE = 0.5%) of heritability, 44% more than expected from the same number of random variants. This 69.2% includes an average of 24% from trans e-/sVariants (14% more than expected). Averaged across 56 lipidomic traits, multi-tissue cis and trans e-/sVariants also explain 71.5% (SE = 0.3%) of heritability, demonstrating the essential role of proximal and distal regulatory variants in shaping mammalian phenotypes.<br />Competing Interests: The authors declare no competing interests.<br /> (© 2023 The Author(s).)

Details

Language :
English
ISSN :
2666-979X
Volume :
3
Issue :
10
Database :
MEDLINE
Journal :
Cell genomics
Publication Type :
Academic Journal
Accession number :
37868035
Full Text :
https://doi.org/10.1016/j.xgen.2023.100385