TY - JOUR
T1 - The statistical practice of the GTEx Project
T2 - from single to multiple tissues
AU - Liao, Xu
AU - Chai, Xiaoran
AU - Shi, Xingjie
AU - Chen, Lin S.
AU - Liu, Jin
N1 - Publisher Copyright:
© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020
PY - 2021
Y1 - 2021
N2 - Background: The Genotype-Tissue Expression (GTEx) Project has collected genetic and transcriptome profiles from a wide spectrum of tissues in nearly 1,000 ceased individuals, providing an opportunity to study the regulatory roles of genetic variants in transcriptome activities from both cross-tissue and tissue-specific perspectives. Moreover, transcriptome activities (e.g., transcript abundance and alternative splicing) can be treated as mediators between genotype and phenotype to achieve phenotypic alteration. Knowing the genotype associated transcriptome status, researchers can better understand the biological and molecular mechanisms of genetic risk variants in complex traits. Results: In this article, we first explore the genetic architecture of gene expression traits, and then review recent methods on quantitative trait locus (QTL) and co-expression network analysis. To further exemplify the usage of associations between genotype and transcriptome status, we briefly review methods that either directly or indirectly integrate expression/splicing QTL information in genome-wide association studies (GWASs). Conclusions: The GTEx Project provides the largest and useful resource to investigate the associations between genotype and transcriptome status. The integration of results from the GTEx Project and existing GWASs further advances our understanding of roles of gene expression changes in bridging both the genetic variants and complex traits.
AB - Background: The Genotype-Tissue Expression (GTEx) Project has collected genetic and transcriptome profiles from a wide spectrum of tissues in nearly 1,000 ceased individuals, providing an opportunity to study the regulatory roles of genetic variants in transcriptome activities from both cross-tissue and tissue-specific perspectives. Moreover, transcriptome activities (e.g., transcript abundance and alternative splicing) can be treated as mediators between genotype and phenotype to achieve phenotypic alteration. Knowing the genotype associated transcriptome status, researchers can better understand the biological and molecular mechanisms of genetic risk variants in complex traits. Results: In this article, we first explore the genetic architecture of gene expression traits, and then review recent methods on quantitative trait locus (QTL) and co-expression network analysis. To further exemplify the usage of associations between genotype and transcriptome status, we briefly review methods that either directly or indirectly integrate expression/splicing QTL information in genome-wide association studies (GWASs). Conclusions: The GTEx Project provides the largest and useful resource to investigate the associations between genotype and transcriptome status. The integration of results from the GTEx Project and existing GWASs further advances our understanding of roles of gene expression changes in bridging both the genetic variants and complex traits.
KW - genome-wide association studies
KW - quantitative trait loci (QTL)
KW - the Genotype-Tissue Expression Project
KW - transcriptome-wide association studies
UR - https://www.scopus.com/pages/publications/85089248381
U2 - 10.1007/s40484-020-0210-9
DO - 10.1007/s40484-020-0210-9
M3 - 文献综述
AN - SCOPUS:85089248381
SN - 2095-4689
VL - 9
SP - 151
EP - 167
JO - Quantitative Biology
JF - Quantitative Biology
IS - 2
ER -