Location: Animal Genomics and Improvement Laboratory
Title: A multi-tissue atlas of regulatory variants in cattleAuthor
LIU, SHULI - China Agricultural University | |
GAO, YAHUI - University Of Maryland | |
CANELA-XANDRI, ORIOL - University Of Edinburgh | |
WANG, SHENG - Chinese Academy Of Sciences | |
YU, YANG - China Agricultural University | |
CAI, WENTAO - Chinese Academy Of Agricultural Sciences | |
LI, BINGJIE - Sruc-Scotland'S Rural College | |
PAIRO-CASTINEIRA, EROLA - University Of Edinburgh | |
D'MELLOW, KENTON - University Of Edinburgh | |
RAWLIK, KONRAD - University Of Edinburgh | |
XIA, CHARLEY - University Of Edinburgh | |
YAO, YEULIN - University Of Edinburgh | |
LI, XIUJIN - Zhongkai University | |
YAN, ZE - University Of Edinburgh | |
Li, Congjun - Cj | |
Rosen, Benjamin - Ben | |
Van Tassell, Curtis - Curt | |
Vanraden, Paul | |
ZHANG, SHENGLI - China Agricultural University | |
MA, LI - University Of Maryland | |
Cole, John | |
Liu, Ge - George | |
TENESA, ALBERT - University Of Edinburgh | |
FANG, LINGZHAO - University Of Edinburgh |
Submitted to: Nature Genetics
Publication Type: Peer Reviewed Journal Publication Acceptance Date: 7/7/2022 Publication Date: 8/11/2022 Citation: Liu, S., Gao, Y., Canela-Xandri, O., Wang, S., Yu, Y., Cai, W., Li, B., Pairo-Castineira, E., D'Mellow, K., Rawlik, K., Xia, C., Yao, Y., Li, X., Yan, Z., Li, C., Rosen, B.D., Van Tassell, C.P., Van Raden, P.M., Zhang, S., Ma, L., Cole, J.B., Liu, G., Tenesa, A., Fang, L. 2022. A multi-tissue atlas of regulatory variants in cattle. Nature Genetics. 54(9):1438-1447. https://doi.org/10.1038/s41588-022-01153-5. DOI: https://doi.org/10.1038/s41588-022-01153-5 Interpretive Summary: Comprehensive analyses of genetic regulatory variants will benefit our understanding of genetic bases for complex traits. We provided the first cattle Genotype-Tissue Expression atlas. These results fill our knowledge gaps and provide the foundation for incorporating new transcriptome insights into the future animal breeding program. Farmers, scientist, and policy planners who need improve animal health and production based on genome-enabled animal selection will benefit from this study. Technical Abstract: The characterization of genetic regulatory variants on the transcriptome of livestock is essential for interpreting the molecular mechanisms underlying traits of economic value, and to increase the rate of genetic gain through artificial selection. Here, we build a cattle Genotype-Tissue Expression atlas (cGTEx, http://cgtex.roslin.ed.ac.uk/) for the research community based on 11,642 RNA-seq publicly available datasets from over 100 cattle tissues. We describe the landscape of transcriptome across tissues and report thousands of cis and trans genetic variants associated with gene expression and alternative splicing for 24 tissues. We evaluate the specificity/similarity of these genetic regulatory effects across tissues, and functionally annotate them using a combination of multi-omics data. Finally, we link gene expression in different tissues to 43 economically important traits using a large transcriptome-wide association (TWAS) study to provide novel biological insights into the molecular regulatory mechanisms underpinning agronomic traits in cattle. |