Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer’s Diseases Sequencing Project Subjects

Abstract

AbstractStructural variations (SVs) are important contributors to the genetics of numerous human diseases. However, their role in Alzheimer’s disease (AD) remains largely unstudied due to challenges in accurately detecting SVs. Here, we analyzed whole-genome sequencing data from the Alzheimer’s Disease Sequencing Project (ADSP, N=16,905 subjects) and identified 400,234 (168,223 high-quality) SVs. We found a significant burden of deletions and duplications in AD cases (OR=1.05,P=0.03), particularly for singletons (OR=1.12,P=0.0002) and homozygous events (OR=1.10,P<0.0004). On AD genes, the ultra-rare SVs, including protein-altering SVs inABCA7,APP,PLCG2, andSORL1, were associated with AD (SKAT-OP=0.004). Twenty-one SVs are in linkage disequilibrium (LD) with known AD-risk variants, e.g., a deletion (chr2:105731359-105736864) in complete LD (R2=0.99) with rs143080277 (chr2:105749599) inNCK2. We also identified 16 SVs associated with AD and 13 SVs associated with AD-related pathological/cognitive endophenotypes. Our findings demonstrate the broad impact of SVs on AD genetics.Search TermsAlzheimer’s disease, Structural variation, Copy number variation