Genome-wide epistasis analysis for Alzheimer’s disease and implications for genetic risk prediction
Year: 2021
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Single-nucleotide polymorphisms (SNPs) identified by genome-wide association studies only explain part of the heritability of Alzheimer's disease (AD). Epistasis has been considered as one of the main causes of "missing heritability" in AD. METHODS: We performed genome-wide epistasis screening (N = 10,389) for the clinical diagnosis of AD using three popularly adopted methods. Subsequent analyses were performed to eliminate spurious associations caused by possible confounding factors. Then, candidate genetic interactions were examined for their co-expression in the brains of AD patients and analyzed for their association with intermediate AD phenotypes. Moreover, a new approach was developed to compile the epistasis risk factors into an epistasis risk score (ERS) based on multifactor dimensional reduction. Two independent datasets were used to evaluate the feasibility of ERSs in AD risk prediction. RESULTS: < 0.1. Co-expression between the identified interactions supported the existence of possible biological interactions underlying the observed statistical significance. Further association of candidate interactions with intermediate phenotypes helps explain the mechanisms of neuropathological alterations involved in AD. Importantly, we found that ERSs can identify high-risk individuals showing earlier onset of AD. Combined risk scores of SNPs and SNP-SNP interactions showed slightly but steadily increased AUC in predicting the clinical status of AD. CONCLUSIONS: In summary, we performed a genome-wide epistasis analysis to identify novel genetic interactions potentially implicated in AD. We found that ERS can serve as an indicator of the genetic risk of AD.
Source: Alzheimer s Research & Therapy
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,490
Awards: Epidemiologic Study of Neural Reserve and Neurobiology of Aging, Genetic Epidemiology of Cognitive Decline in an Aging Population Sample, bZIP超家族转录因子祖先重建及演化机制研究, G306659448, Risk Factors, Pathology, and Clinical Expressions of AD, Rush Alzheimer's Disease Core Center, Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targets, G7090264237
OpenAlex ID: W3134616382
