Research

A hidden layer of structural variation in transposable elements reveals potential genetic modifiers in human disease-risk loci

    • 1Evolutionary Neurogenomics, Swammerdam Institute for Life Sciences, University of Amsterdam, 1098 XH Amsterdam, The Netherlands;
    • 2Genomics of Neurodegenerative Diseases and Aging, Department of Human Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands;
    • 3Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands;
    • 4Mater Research Institute—University of Queensland, Woolloongabba, QLD 4102, Australia;
    • 5UC Santa Cruz Genomics Institute, and Howard Hughes Medical Institute, UC Santa Cruz, Santa Cruz, California 95064, USA;
    • 6Delft Bioinformatics Lab, Delft University of Technology, 2628 XE Delft, The Netherlands;
    • 7Amsterdam Neuroscience, Complex Trait Genetics, University of Amsterdam, Amsterdam, The Netherlands
    • 8 These authors contributed equally to this work.
Published March 24, 2022. https://doi.org/10.1101/gr.275515.121
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cover of Genome Research Vol 36 Issue 6
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Abstract

Genome-wide association studies (GWAS) have been highly informative in discovering disease-associated loci but are not designed to capture all structural variations in the human genome. Using long-read sequencing data, we discovered widespread structural variation within SINE-VNTR-Alu (SVA) elements, a class of great ape-specific transposable elements with gene-regulatory roles, which represents a major source of structural variability in the human population. We highlight the presence of structurally variable SVAs (SV-SVAs) in neurological disease–associated loci, and we further associate SV-SVAs to disease-associated SNPs and differential gene expression using luciferase assays and expression quantitative trait loci data. Finally, we genetically deleted SV-SVAs in the BIN1 and CD2AP Alzheimer's disease–associated risk loci and in the BCKDK Parkinson's disease–associated risk locus and assessed multiple aspects of their gene-regulatory influence in a human neuronal context. Together, this study reveals a novel layer of genetic variation in transposable elements that may contribute to identification of the structural variants that are the actual drivers of disease associations of GWAS loci.

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