In this proposal we seek to design an efficient tool for large-scale investigation of an understudied genetic feature. HERV-K and SVA elements (HKLEs), which both contain a HERV-K long terminal repeat, are insertionally polymorphic, act as promoters and enhancers, and alter genome structure and epigenetics. As such, HKLEs have demonstrable effects on the function of the surrounding genome, primarily through altering cis-gene expression. These effects suggest HKLEs may contribute to the germ-line causes and somatic progression of disease. Indeed, our preliminary studies suggest that these elements are associated with multiple sclerosis and glioblastoma, additionally HKLEs have been shown to be overexpressed in a variety of complex diseases including our study of childhood acute lymphoblastic leukemia. Currently, the most effective method to measure these important genomic features is via whole genome sequencing, which is prohibitively expensive and computationally burdensome. Previous methods to enrich sequencing data for insertion breakpoints are subject to sacrifices of specificity, PCR bias, and sequence errors. We propose to develop a method, HKLE-seq, that will harness the efficiency of target enrichment methods while incorporating features that reduce error and bias. Upon development, this method will be applied to future large-scale planned studies of multiple sclerosis, glioblastoma, and childhood acute lymphoblastic leukemia. Furthermore, HKLE-seq will be available for use by researchers conducting clinical and epidemiological studies worldwide.

Public Health Relevance

Human endogenous retrovirus K (HERV-K) integrated into the human genome ~40 million years ago, today HERV-K sequences are distributed throughout the genome and fragments have even been co-opted into other mobile genetic elements called SVAs. Collectively, these HERV- K like elements (HKLEs) have the ability to alter genome function and are polymorphic between individuals, making them an excellent candidate for contributing to disease risk and progression. With this proposal, we aim to construct the most efficient and specific tool available to date to identify polymorphic HKLE insertions in human clinical samples, we have active plans for future studies investigating the etiology of multiple sclerosis, glioblastoma, and childhood acute lymphoblastic leukemia.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
1R15GM126562-01
Application #
9442151
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Sledjeski, Darren D
Project Start
2018-02-01
Project End
2021-01-31
Budget Start
2018-02-01
Budget End
2021-01-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Nevada Reno
Department
Type
Sch Allied Health Professions
DUNS #
146515460
City
Reno
State
NV
Country
United States
Zip Code
89557
Wallace, Amelia D; Wendt, George A; Barcellos, Lisa F et al. (2018) To ERV Is Human: A Phenotype-Wide Scan Linking Polymorphic Human Endogenous Retrovirus-K Insertions to Complex Phenotypes. Front Genet 9:298