Meta-imputation of transcriptome from genotypes across multiple datasets by leveraging publicly available summary-level data

Transcriptome wide association studies (TWAS) can be used as a powerful method to identify and interpret the underlying biological mechanisms behind GWAS by mapping gene expression levels with phenotypes. In TWAS, gene expression is often imputed from individual-level genotypes of regulatory variant...

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Bibliographic Details
Published in:	PLoS genetics Vol. 18; no. 1; p. e1009571
Main Authors:	Liu, Andrew E., Kang, Hyun Min
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 31.01.2022 Public Library of Science (PLoS)
Subjects:	Accuracy Biology and Life Sciences Datasets Datasets as Topic Electronic data processing Gene expression Gene mapping Genetic diversity Genetic research Genetic variance Genetic variation Genome-Wide Association Study - methods Genomes Genotype Genotype & phenotype Genotypes Humans Lymphoblastoid cell lines Mendelian Randomization Analysis Methods Models, Genetic Phenotypes Physiological aspects Quantitative Trait Loci RNA Social Sciences Statistical analysis Transcriptome Transcriptomes United States
ISSN:	1553-7404, 1553-7390, 1553-7404
Online Access:	Get full text
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