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David Tabor

Researcher at Science Applications International Corporation

Publications -  13
Citations -  11458

David Tabor is an academic researcher from Science Applications International Corporation. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 5, co-authored 6 publications receiving 9061 citations. Previous affiliations of David Tabor include Westat.

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The Genotype-Tissue Expression (GTEx) project

John T. Lonsdale, +129 more
- 29 May 2013 - 
TL;DR: The Genotype-Tissue Expression (GTEx) project is described, which will establish a resource database and associated tissue bank for the scientific community to study the relationship between genetic variation and gene expression in human tissues.
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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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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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A vast resource of allelic expression data spanning human tissues

Stephane E. Castel, +170 more
- 11 Sep 2020 - 
TL;DR: A vast AE resource generated from the GTEx v8 release is presented and the utility of this resource is demonstrated, and an extension of the tool phASER is developed that allows effect sizes of cis -regulatory variants to be estimated using haplotype-level AE data.