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Jeffrey A. Thomas

Publications -  6
Citations -  7205

Jeffrey A. Thomas is an academic researcher. The author has contributed to research in topics: Regulation of gene expression & Genome-wide association study. The author has an hindex of 6, co-authored 6 publications receiving 5031 citations.

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The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie, +132 more
- 08 May 2015 - 
TL;DR: The landscape of gene expression across tissues is described, thousands of tissue-specific and shared regulatory expression quantitative trait loci (eQTL) variants are cataloged, complex network relationships are described, and signals from genome-wide association studies explained by eQTLs are identified.
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The GTEx Consortium atlas of genetic regulatory effects across human tissues

François Aguet, +167 more
- 01 Jan 2020 - 
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Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

Alvaro N. Barbeira, +263 more
TL;DR: A mathematical expression is derived to compute PrediXcan results using summary data, and the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes are investigated.
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Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Jialiang Yang, +146 more
- 19 Oct 2015 - 
TL;DR: In this article, the aging gene expression signatures are very tissue specific and enrichment for some well-known aging components such as mitochondria biology is observed in many tissues, and different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger "co-aging" than other tissues based on principal component analysis.
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Co-expression networks reveal the tissue-specific regulation of transcription and splicing

Ashis Saha, +259 more
- 11 Oct 2017 - 
TL;DR: These networks are built that additionally capture the regulation of relative isoform abundance and splicing, along with tissue-specific connections unique to each of a diverse set of tissues, and provide an improved understanding of the complex relationships of the human transcriptome across tissues.