Abstract

Sporadic Alzheimer’s disease (AD) is a complex genetic disease, and the leading cause of dementia worldwide. Over the past 3 decades, extensive pioneering research has discovered more than 70 common and rare genetic risk variants. These discoveries have contributed massively to our understanding of the pathogenesis of AD but approximately half of the heritability for AD remains unaccounted for. There are regions of the genome that are not assayed by mainstream genotype and sequencing technology. These regions, known as the Dark Genome, often harbour large structural DNA variants that are likely relevant to disease risk. Here, we describe the dark genome and review current technological and bioinformatics advances that will enable researchers to shed light on these hidden regions of the genome. We highlight the potential importance of the hidden genome in complex disease and how these strategies will assist in identifying the missing heritability of AD. Identification of novel protein-coding structural variation that increases risk of AD will open new avenues for translational research and new drug targets that have the potential for clinical benefit to delay or even prevent clinical symptoms of disease.

Highlights

  • Alzheimer’s disease (AD) is the leading cause of dementia worldwide

  • This technology is ideal for detecting detect structural variants (SVs), Copy number variants (CNVs), and large indels ranging in size from tens to thousands of base pairs

  • Candidate gene studies have identified large structural variation associated with AD, but these have not been systematically or robustly evaluated

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Summary

Introduction

Alzheimer’s disease (AD) is the leading cause of dementia worldwide. Family studies identified mutations in amyloid precursor protein (APP) and presenilin (PSEN). Genes [1,2,3] as the cause of rare, early onset, familial forms of the disease. That induce early onset AD (EOAD), constitute less than 1% of all AD cases. Common forms of late-onset AD (LOAD) have heritability estimates of 56–79% [6] and are contributed to by multiple genetic risk factors [7]. These pioneering studies are summarized elsewhere [7].

Schematic
Next Generation Sequencing in AD Studies
Method
The Dark Genome
The of LargeofStructural
The importance of Large
Shedding Light on the Dark Genome
Generic Molecular Biology Approaches
Bioinformatics Approaches
Long Read Sequencing Technologies
Findings
Conclusions
Full Text
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