Variable number tandem repeats mediate the expression of proximal genes

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Mehrdad Bakhtiari
Jonghun Park
Yuan-Chun Ding
Sharona Shleizer-Burko
Susan L. Neuhausen
Bjarni V. Halldórsson
Kári Stefánsson
Melissa Gymrek
Vineet Bafna
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[1] University of California,Department of Computer Science & Engineering
[2] Beckman Research Institute of City of Hope,Department of Population Sciences
[3] University of California,Department of Medicine
[4] deCODE Genetics,undefined
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Variable number tandem repeats (VNTRs) account for significant genetic variation in many organisms. In humans, VNTRs have been implicated in both Mendelian and complex disorders, but are largely ignored by genomic pipelines due to the complexity of genotyping and the computational expense. We describe adVNTR-NN, a method that uses shallow neural networks to genotype a VNTR in 18 seconds on 55X whole genome data, while maintaining high accuracy. We use adVNTR-NN to genotype 10,264 VNTRs in 652 GTEx individuals. Associating VNTR length with gene expression in 46 tissues, we identify 163 “eVNTRs”. Of the 22 eVNTRs in blood where independent data is available, 21 (95%) are replicated in terms of significance and direction of association. 49% of the eVNTR loci show a strong and likely causal impact on the expression of genes and 80% have maximum effect size at least 0.3. The impacted genes are involved in diseases including Alzheimer’s, obesity and familial cancers, highlighting the importance of VNTRs for understanding the genetic basis of complex diseases.
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