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A compendium of genetic regulatory effects across pig tissues.

Authors :
Teng J
Gao Y
Yin H
Bai Z
Liu S
Zeng H
Bai L
Cai Z
Zhao B
Li X
Xu Z
Lin Q
Pan Z
Yang W
Yu X
Guan D
Hou Y
Keel BN
Rohrer GA
Lindholm-Perry AK
Oliver WT
Ballester M
Crespo-Piazuelo D
Quintanilla R
Canela-Xandri O
Rawlik K
Xia C
Yao Y
Zhao Q
Yao W
Yang L
Li H
Zhang H
Liao W
Chen T
Karlskov-Mortensen P
Fredholm M
Amills M
Clop A
Giuffra E
Wu J
Cai X
Diao S
Pan X
Wei C
Li J
Cheng H
Wang S
Su G
Sahana G
Lund MS
Dekkers JCM
Kramer L
Tuggle CK
Corbett R
Groenen MAM
Madsen O
Gòdia M
Rocha D
Charles M
Li CJ
Pausch H
Hu X
Frantz L
Luo Y
Lin L
Zhou Z
Zhang Z
Chen Z
Cui L
Xiang R
Shen X
Li P
Huang R
Tang G
Li M
Zhao Y
Yi G
Tang Z
Jiang J
Zhao F
Yuan X
Liu X
Chen Y
Xu X
Zhao S
Zhao P
Haley C
Zhou H
Wang Q
Pan Y
Ding X
Ma L
Li J
Navarro P
Zhang Q
Li B
Tenesa A
Li K
Liu GE
Zhang Z
Fang L
Source :
Nature genetics [Nat Genet] 2024 Jan; Vol. 56 (1), pp. 112-123. Date of Electronic Publication: 2024 Jan 04.
Publication Year :
2024

Abstract

The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1546-1718
Volume :
56
Issue :
1
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
38177344
Full Text :
https://doi.org/10.1038/s41588-023-01585-7