Variable number tandem repeats mediate the expression of proximal genes

Mehrdad Bakhtiari; Jonghun Park; Yuan-Chun Ding; Sharona Shleizer-Burko; Susan L. Neuhausen; Bjarni V. Halldórsson; Kári Stefánsson; Melissa Gymrek; Vineet Bafna

doi:10.1038/s41467-021-22206-z

Nature Communications (Apr 2021)

Variable number tandem repeats mediate the expression of proximal genes

Mehrdad Bakhtiari,
Jonghun Park,
Yuan-Chun Ding,
Sharona Shleizer-Burko,
Susan L. Neuhausen,
Bjarni V. Halldórsson,
Kári Stefánsson,
Melissa Gymrek,
Vineet Bafna

Affiliations

Mehrdad Bakhtiari: Department of Computer Science & Engineering, University of California
Jonghun Park: Department of Computer Science & Engineering, University of California
Yuan-Chun Ding: Department of Population Sciences, Beckman Research Institute of City of Hope
Sharona Shleizer-Burko: Department of Medicine, University of California
Susan L. Neuhausen: Department of Population Sciences, Beckman Research Institute of City of Hope
Bjarni V. Halldórsson: deCODE Genetics
Kári Stefánsson: deCODE Genetics
Melissa Gymrek: Department of Computer Science & Engineering, University of California
Vineet Bafna: Department of Computer Science & Engineering, University of California

DOI: https://doi.org/10.1038/s41467-021-22206-z
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 12

Abstract

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Variable number tandem repeats (VNTRs) are implicated in human diseases yet have been difficult to analyse computationally. Here, the authors describe a neural network method, adVNTR-NN, that allows rapid and accurate genotyping of VNTRs from large whole genome sequencing datasets.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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