Nature GeneticsGenomicsPeer-reviewed journal article
A compendium of genetic regulatory effects across pig tissues
Jinyan TengiD, Yahui GaoiD, Hongwei Holly YiniD, Zhonghao BaiiD, Shuli LiuiD, Haonan ZengiD, Lijing BaiiD, Zexi CaiiD, Bingru ZhaoiD, Xiujin LiiD, Zhiting XuiD, Qing LiniD, Zhangyuan PaniD, Wenjing YangiD, Xiaoshan YuiD, Dailu GuaniD, Yali HouiD, Brittney N. KeeliD, Gary Alan RohreriD, Amanda K. Lindholm‐PerryiD, William Thomas OliveriD, María BallesteriD, Daniel Crespo‐PiazueloiD, Raquel QuintanillaiD, Oriol Canela‐XandriiD, , George E. LiuiD
Abstract
The Farm animal Genotype-Tissue Expression (FarmGTEx, https://www.farmgtex.org/) project has been established to develop a comprehensive public resource of genetic regulatory variants in domestic animal species, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biology discovery and exploitation in animal breeding and human biomedicine. Here we present results from the pilot phase of PigGTEx (http://piggtex.farmgtex.org/), where we processed 9,530 RNA-sequencing and 1,602 whole-genome sequencing samples from pigs. We build a pig genotype imputation panel, characterize the transcriptional landscape across over 100 tissues, and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We study interactions between genotype and breed/cell type, evaluate tissue specificity of regulatory effects, and elucidate the molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying about 80% of the genetic associations for 207 pig complex phenotypes, and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, corroborating the importance of pigs as a human biomedical model.
- organism: plant (other)
- assay: bulk RNA-seq
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- Citations
- 270
- FWCI
- 72.40
- Field percentile
- top 1%
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